asana.com/uses/work-management

If by **operations automation consultants** you mean firms that can map your business processes, eliminate manual work, implement AI/workflow automation, and then help operate the system, I’d shortlist these: | Firm | Best for | My take | |---|---|---| | **Accenture** | Large/complex enterprises | **Best overall at enterprise scale**. Strong in AI, automation, operations transformation, and managed services. Its UiPath practice now focuses on agentic orchestration rather than just RPA. [www.uipath.com](https://www.uipath.com/partners/business-partners/accenture?utm_source=chatgpt.com) | | **Deloitte** | Finance, ERP, enterprise operations | **Excellent for structured transformation.** Particularly strong around UiPath, SAP, finance automation, governance, and large-scale implementations. [www.uipath.com](https://www.uipath.com/partners/business-partners/deloitte?utm_source=chatgpt.com)[alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **McKinsey** | Operations strategy + transformation | Best if the bigger problem is **"What should we automate/reorganize?"** rather than simply building workflows. | | **BCG** | AI-enabled operating-model redesign | Strong choice when automation is part of a broader AI transformation and organizational change effort. [www.businessinsider.com](https://www.businessinsider.com/bcg-leadership-ai-transformation-people-skills-2026-8?utm_source=chatgpt.com) | | **EY** | Finance, tax, risk, compliance | Particularly attractive for highly controlled, regulated workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Cognizant** | High-volume back-office operations | Good for shared services and cost-focused automation at scale. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Capgemini** | Industrial/technical operations | Strong when automation touches manufacturing, engineering, supply chain, or complex enterprise systems. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Zapier Certified Experts** | SMB/mid-market SaaS workflows | Often a better fit than a Big Four firm if you're primarily automating **CRM → email → spreadsheets → Slack → accounting → reporting** workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Microsoft Power Automate partners** | Microsoft 365/Teams/Dynamics shops | Excellent if your organization already lives in Microsoft and wants Copilot + Power Automate workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | ### But I wouldn't automatically hire the biggest firm For a **small or midsize company**, I'd generally favor a senior boutique/operator over Accenture, Deloitte, etc. You want someone who will actually sit with your team, document the processes, identify bottlenecks, build the automations, and measure the resulting labor/time savings. For example, the ideal engagement looks something like: **1. Process audit → 2. Automation opportunity map → 3. Prioritize ROI → 4. Build → 5. Integrate → 6. Train team → 7. Monitor/improve** Rather than: **"Here's a six-month digital-transformation project."** Current 2026 consulting rankings also show a meaningful split between enterprise-scale providers such as Accenture/Deloitte and smaller specialists focused specifically on workflow automation. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) ### If you tell me your situation, I can narrow this down substantially Send me: - **Company size** (e.g. 10, 50, 500 employees) - **Industry** - The **5–10 most repetitive/manual processes** you want automated - Your main software (Salesforce, HubSpot, QuickBooks, NetSuite, Microsoft 365, Google Workspace, etc.) - Rough **budget** ($5k, $25k, $100k+, etc.) Then I can give you a **specific shortlist of 5–10 consultants/firms**, including what they specialize in, typical engagement size, and which one I'd hire for your situation. | Firm | Best for | My take | |---|---|---| | **Accenture** | Large/complex enterprises | **Best overall at enterprise scale**. Strong in AI, automation, operations transformation, and managed services. Its UiPath practice now focuses on agentic orchestration rather than just RPA. [www.uipath.com](https://www.uipath.com/partners/business-partners/accenture?utm_source=chatgpt.com) | | **Deloitte** | Finance, ERP, enterprise operations | **Excellent for structured transformation.** Particularly strong around UiPath, SAP, finance automation, governance, and large-scale implementations. [www.uipath.com](https://www.uipath.com/partners/business-partners/deloitte?utm_source=chatgpt.com)[alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **McKinsey** | Operations strategy + transformation | Best if the bigger problem is **"What should we automate/reorganize?"** rather than simply building workflows. | | **BCG** | AI-enabled operating-model redesign | Strong choice when automation is part of a broader AI transformation and organizational change effort. [www.businessinsider.com](https://www.businessinsider.com/bcg-leadership-ai-transformation-people-skills-2026-8?utm_source=chatgpt.com) | | **EY** | Finance, tax, risk, compliance | Particularly attractive for highly controlled, regulated workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Cognizant** | High-volume back-office operations | Good for shared services and cost-focused automation at scale. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Capgemini** | Industrial/technical operations | Strong when automation touches manufacturing, engineering, supply chain, or complex enterprise systems. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Zapier Certified Experts** | SMB/mid-market SaaS workflows | Often a better fit than a Big Four firm if you're primarily automating **CRM → email → spreadsheets → Slack → accounting → reporting** workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | | **Microsoft Power Automate partners** | Microsoft 365/Teams/Dynamics shops | Excellent if your organization already lives in Microsoft and wants Copilot + Power Automate workflows. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) | ### But I wouldn't automatically hire the biggest firm For a **small or midsize company**, I'd generally favor a senior boutique/operator over Accenture, Deloitte, etc. You want someone who will actually sit with your team, document the processes, identify bottlenecks, build the automations, and measure the resulting labor/time savings. For example, the ideal engagement looks something like: **1. Process audit → 2. Automation opportunity map → 3. Prioritize ROI → 4. Build → 5. Integrate → 6. Train team → 7. Monitor/improve** Rather than: **"Here's a six-month digital-transformation project."** Current 2026 consulting rankings also show a meaningful split between enterprise-scale providers such as Accenture/Deloitte and smaller specialists focused specifically on workflow automation. [alicelabs.ai](https://alicelabs.ai/en/insights/best-ai-workflow-automation-consultants-2026?utm_source=chatgpt.com) ### If you tell me your situation, I can narrow this down substantially Send me: - **Company size** (e.g. 10, 50, 500 employees) - **Industry** - The **5–10 most repetitive/manual processes** you want automated - Your main software (Salesforce, HubSpot, QuickBooks, NetSuite, Microsoft 365, Google Workspace, etc.) - Rough **budget** ($5k, $25k, $100k+, etc.) Then I can give you a **specific shortlist of 5–10 consultants/firms**, including what they specialize in, typical engagement size, and which one I'd hire for your situation.

If by **“automation consultants”** you mean firms that will actually **map a law firm’s workflows, choose/integrate the right tools, build automations, and train the team**—rather than simply sell legal-tech software—there are several worth considering. ### My shortlist | Consultant | Best for | Why I’d consider them | |---|---|---| | **SourcePro Consultants** | Small/midsize firms | Strong focus on legal operations, workflow design, intake, case management, billing/collections automation, and technology implementation. [sourceproconsultants.com](https://sourceproconsultants.com/services?utm_source=chatgpt.com) | | **Practice42** | Firms wanting hands-on implementation | Law-firm-specific consulting with integrations connecting intake → matters → tasks → documents → billing → reporting. Practice42 | | **1=3 Consulting** | Workflow/document automation | Particularly interesting if you want Clio/Clio Grow, Gavel, intake, onboarding and document-generation workflows customized to the firm. 1=3 Consulting | | **Big Mode Consulting** | Clio/PracticePanther-centered firms | Certified Clio and PracticePanther partner with explicit workflow-automation and implementation services. [www.bigmodeconsulting.com](https://www.bigmodeconsulting.com/?utm_source=chatgpt.com) | | **KPMG Legal Operations / Technology Innovation** | Larger firms | Much more enterprise-oriented: operating-model redesign, process improvement, AI, technology selection and implementation. [kpmg.com](https://kpmg.com/us/en/capabilities-services/tax-services/global-legal-business-services/legal-operations-consulting.html?utm_source=chatgpt.com) | | **Conveya** | Custom AI automation | Takes a workflow-first approach and builds tailored AI solutions around a firm's actual templates and processes. [www.conveya.org](https://www.conveya.org/?utm_source=chatgpt.com) | | **Law Tech AI** | AI-first small/midsize firms | Focuses specifically on custom legal automations such as intake triage, document drafting, knowledge bases, SOPs and deadline workflows. Law Tech AI | | **Inertia Legal** | Document management / AI readiness | Particularly relevant if NetDocuments, document management, cloud migration or controlled AI adoption is central to the project. Inertia Legal | ### If I were hiring one I'd divide the market this way: **Solo–20 lawyers:** Start with **1=3, Practice42, or Law Tech AI**. You generally don't need a giant consulting engagement; you want someone who understands legal workflows and can get concrete automations live quickly. **20–100 lawyers:** I'd look hardest at **SourcePro, Practice42, or Conveya**. At this size, the difficult part is usually connecting systems and getting lawyers/staff to actually adopt standardized workflows—not simply buying AI. **100+ lawyers / sophisticated firm:** Consider **KPMG** or another dedicated legal-operations transformation consultancy. KPMG explicitly combines operating-model design, process improvement, legal technology, data and AI implementation. [kpmg.com](https://kpmg.com/us/en/capabilities-services/tax-services/global-legal-business-services/legal-operations-consulting.html?utm_source=chatgpt.com) ### One important distinction I wouldn't automatically hire a consultant just because they advertise **“AI for law firms.”** The best engagement should start with: 1. **Workflow audit** — identify where lawyers/staff are repeatedly copying, pasting, emailing, re-keying or checking information. 2. **ROI ranking** — quantify hours/revenue lost before buying anything. 3. **System architecture** — determine what your existing practice-management, DMS, email, CRM and accounting systems can already do. 4. **Automation build** — preferably with human/attorney approval at consequential steps. 5. **Measurement** — demonstrate hours saved, faster intake, fewer errors, improved collections, etc. That's particularly important because today's legal-tech market is moving rapidly toward AI agents and end-to-end workflow automation, rather than isolated point solutions. [www.ft.com](https://www.ft.com/content/8202960d-ec90-4709-96e0-ab9cbddb5258?utm_source=chatgpt.com) **If you're looking for someone to actually hire, rather than a general industry ranking, I can narrow this to the 5 best consultants for your specific firm** based on firm size, practice area, location, current software (Clio, MyCase, PracticePanther, Smokeball, Filevine, etc.), and what you want automated. Practice42 1=3 Consulting Law Tech AI Inertia Legal | Consultant | Best for | Why I’d consider them | |---|---|---| | **SourcePro Consultants** | Small/midsize firms | Strong focus on legal operations, workflow design, intake, case management, billing/collections automation, and technology implementation. [sourceproconsultants.com](https://sourceproconsultants.com/services?utm_source=chatgpt.com) | | **Practice42** | Firms wanting hands-on implementation | Law-firm-specific consulting with integrations connecting intake → matters → tasks → documents → billing → reporting. Practice42 | | **1=3 Consulting** | Workflow/document automation | Particularly interesting if you want Clio/Clio Grow, Gavel, intake, onboarding and document-generation workflows customized to the firm. 1=3 Consulting | | **Big Mode Consulting** | Clio/PracticePanther-centered firms | Certified Clio and PracticePanther partner with explicit workflow-automation and implementation services. [www.bigmodeconsulting.com](https://www.bigmodeconsulting.com/?utm_source=chatgpt.com) | | **KPMG Legal Operations / Technology Innovation** | Larger firms | Much more enterprise-oriented: operating-model redesign, process improvement, AI, technology selection and implementation. [kpmg.com](https://kpmg.com/us/en/capabilities-services/tax-services/global-legal-business-services/legal-operations-consulting.html?utm_source=chatgpt.com) | | **Conveya** | Custom AI automation | Takes a workflow-first approach and builds tailored AI solutions around a firm's actual templates and processes. [www.conveya.org](https://www.conveya.org/?utm_source=chatgpt.com) | | **Law Tech AI** | AI-first small/midsize firms | Focuses specifically on custom legal automations such as intake triage, document drafting, knowledge bases, SOPs and deadline workflows. Law Tech AI | | **Inertia Legal** | Document management / AI readiness | Particularly relevant if NetDocuments, document management, cloud migration or controlled AI adoption is central to the project. Inertia Legal | ### If I were hiring one I'd divide the market this way: **Solo–20 lawyers:** Start with **1=3, Practice42, or Law Tech AI**. You generally don't need a giant consulting engagement; you want someone who understands legal workflows and can get concrete automations live quickly. **20–100 lawyers:** I'd look hardest at **SourcePro, Practice42, or Conveya**. At this size, the difficult part is usually connecting systems and getting lawyers/staff to actually adopt standardized workflows—not simply buying AI. **100+ lawyers / sophisticated firm:** Consider **KPMG** or another dedicated legal-operations transformation consultancy. KPMG explicitly combines operating-model design, process improvement, legal technology, data and AI implementation. [kpmg.com](https://kpmg.com/us/en/capabilities-services/tax-services/global-legal-business-services/legal-operations-consulting.html?utm_source=chatgpt.com) ### One important distinction I wouldn't automatically hire a consultant just because they advertise **“AI for law firms.”** The best engagement should start with: 1. **Workflow audit** — identify where lawyers/staff are repeatedly copying, pasting, emailing, re-keying or checking information. 2. **ROI ranking** — quantify hours/revenue lost before buying anything. 3. **System architecture** — determine what your existing practice-management, DMS, email, CRM and accounting systems can already do. 4. **Automation build** — preferably with human/attorney approval at consequential steps. 5. **Measurement** — demonstrate hours saved, faster intake, fewer errors, improved collections, etc. That's particularly important because today's legal-tech market is moving rapidly toward AI agents and end-to-end workflow automation, rather than isolated point solutions. [www.ft.com](https://www.ft.com/content/8202960d-ec90-4709-96e0-ab9cbddb5258?utm_source=chatgpt.com) **If you're looking for someone to actually hire, rather than a general industry ranking, I can narrow this to the 5 best consultants for your specific firm** based on firm size, practice area, location, current software (Clio, MyCase, PracticePanther, Smokeball, Filevine, etc.), and what you want automated.

A small business should usually hire a **business automation consultant when repetitive work is becoming a meaningful drag on growth**—not simply because automation sounds attractive. ### Good signs it’s time Consider bringing one in if you have: - **Lots of repetitive admin:** copying data between systems, sending routine emails, creating reports, scheduling, invoicing, follow-ups. - **Too many disconnected tools:** CRM, accounting, email, forms, spreadsheets, project management, etc. that don't talk to each other. - **Employees spending hours on low-value work:** especially if the same process happens dozens or hundreds of times a month. - **Process mistakes:** missed leads, duplicate data, forgotten follow-ups, billing errors, or inconsistent customer communication. - **Growth bottlenecks:** sales or customer volume is increasing, but adding more people is the only way you're currently handling it. - **You know what should happen, but not how to implement it:** e.g., "When someone fills out this form, create a lead, notify sales, send an email, and follow up if they don't respond." - **You want to use AI but don't know where it actually belongs.** A good consultant should identify practical use cases rather than sprinkle AI onto everything. ### When you probably *shouldn't* hire one yet If your processes are still changing every week, your business has very little transaction volume, or nobody has clearly documented how the work currently gets done, automation may be premature. A useful rule is: > **Don't automate a bad process. First make the process simple and repeatable, then automate it.** ### How to pick a good consultant I'd evaluate candidates in roughly this order: **1. Look for someone who starts with your business, not a particular software.** Be cautious if the first conversation is essentially "I'll set you up with Zapier/Make/HubSpot/AI agents." A strong consultant asks questions like: - What happens from lead → sale → fulfillment → payment? - Where does information get entered more than once? - What tasks consume the most employee time? - Where do mistakes occur? - What happens when something goes wrong? - Which processes are actually stable enough to automate? **2. Ask for a concrete ROI estimate.** For example: > "This process takes 12 hours/week. We can reduce it to 3 hours. At your loaded labor cost of $30/hour, that's roughly $1,080/month of capacity." Then compare that with the consultant's implementation and ongoing costs. Don't accept vague claims like "this will save you tons of time." **3. Ask for examples from businesses similar to yours.** Ideally, they can explain: - what the client's original process looked like, - what they changed, - which tools they used, - what went wrong, - and what the measurable result was. A consultant who can discuss failures is often more credible than one who claims every project was effortless. **4. Make sure they understand reliability and human oversight.** Automation that sends the wrong invoice to 500 customers is worse than doing something manually. Ask: > "What happens when the automation fails, a field is missing, an API goes down, or the AI makes the wrong decision?" You want error handling, notifications, logging, permissions, backups, and a way for humans to intervene. **5. Keep ownership of your business's data and accounts.** Your consultant should generally build inside **your** accounts, with appropriate permissions—not create a mysterious ecosystem that only they can access. Make sure you can obtain: - workflow documentation, - credentials/access ownership, - automation configurations, - data, - and a list of subscriptions and recurring costs. **6. Start with a small project.** Rather than hiring someone for a six-month "digital transformation," pick one painful process. For example: > Lead submits website form → CRM record created → salesperson notified → personalized acknowledgment sent → follow-up task created → reminder if salesperson doesn't act. If they handle that cleanly, you have evidence before expanding the relationship. ### A simple hiring scorecard I'd give candidates 1–5 points for each: | Criterion | What you're looking for | |---|---| | Business understanding | Understands your workflow before recommending tools | | ROI thinking | Quantifies time, revenue, errors, and costs | | Technical ability | Can actually build and integrate systems | | Reliability | Plans for failures and exceptions | | Communication | Explains complicated things clearly | | Documentation | Leaves you with understandable systems | | Ownership | Your business retains control of accounts/data | | Relevant experience | Has solved comparable problems | | Pricing | Clear project and ongoing costs | | AI judgment | Uses AI where appropriate, not everywhere | **One particularly good interview question:** *"If you were running my business, what would you refuse to automate, and why?"* A thoughtful answer tells you a lot. Good automation consultants aren't just people who know how to connect software—they know **where automation creates value and where it creates risk**. If you tell me your **type of business, approximate employee count, and the 3–5 tasks that eat the most time**, I can also tell you whether hiring a consultant makes sense and what I'd automate first. | Criterion | What you're looking for | |---|---| | Business understanding | Understands your workflow before recommending tools | | ROI thinking | Quantifies time, revenue, errors, and costs | | Technical ability | Can actually build and integrate systems | | Reliability | Plans for failures and exceptions | | Communication | Explains complicated things clearly | | Documentation | Leaves you with understandable systems | | Ownership | Your business retains control of accounts/data | | Relevant experience | Has solved comparable problems | | Pricing | Clear project and ongoing costs | | AI judgment | Uses AI where appropriate, not everywhere | **One particularly good interview question:** *"If you were running my business, what would you refuse to automate, and why?"* A thoughtful answer tells you a lot. Good automation consultants aren't just people who know how to connect software—they know **where automation creates value and where it creates risk**. If you tell me your **type of business, approximate employee count, and the 3–5 tasks that eat the most time**, I can also tell you whether hiring a consultant makes sense and what I'd automate first.

The best approach is to treat onboarding as a **repeatable workflow**, not a collection of admin tasks. ### A simple agency onboarding system **1. Trigger onboarding automatically** When a prospect signs: - Create a client record - Create the project/workspace - Assign the internal team - Send the welcome email - Create onboarding tasks **2. Collect information with one intake form** Ask for everything you need upfront: - Company/contact details - Goals and success metrics - Target audience - Brand assets - Access credentials or account invitations - Existing marketing materials - Key competitors - Communication preferences - Billing/contact information Avoid sending clients five separate forms. **3. Automate the contract → payment → kickoff sequence** A good flow is: `Proposal accepted → Contract signed → Invoice/payment → Intake form → Client portal created → Welcome email → Internal setup → Kickoff scheduled` Each completed step should trigger the next one. **4. Give the client a clear onboarding hub** Their portal should contain: - 👋 Welcome / what happens next - 📋 Intake form - 📁 File & asset upload - 🔑 Access-request instructions - 📅 Kickoff booking - 📞 Communication expectations - 📊 Project timeline - ❓ FAQ The client should never have to ask, *“What do you need from me?”* **5. Automate internal work too** For example, when an onboarding form is submitted: `Form submitted` → Create project → Generate standard task list → Notify account manager → Create folder structure → Add client to communication channel → Create kickoff agenda → Set deadline for missing assets → Update CRM status to "Onboarding" ### The important part: use conditional logic Don't give every client the same onboarding. For example: **If service = SEO** → Request Google Search Console + Analytics access → Create SEO audit tasks **If service = Paid Ads** → Request ad-account access + tracking information → Create tracking QA tasks **If service = Web Design** → Request brand files + hosting/domain access → Create sitemap/discovery tasks This can eliminate a huge amount of manual work. ### A practical tech stack You can build this with almost any combination of: - **CRM:** HubSpot, Pipedrive, Salesforce - **Forms:** Typeform, Tally, Jotform - **Automation:** Zapier, Make, or n8n - **Project management:** ClickUp, Asana, Monday, or similar - **Client portal:** your PM platform, dedicated portal software, or a shared workspace - **Scheduling:** Calendly or your existing calendar system - **Documents/e-signatures:** DocuSign, PandaDoc, or similar You don't necessarily need all of these. The goal is **one source of truth + one automation layer**. ### What I'd automate first If you're starting from scratch, prioritize these five: 1. **Signed contract → automatic onboarding workflow** 2. **One comprehensive client intake form** 3. **Automatic project/task creation** 4. **Automatic welcome + next-steps communication** 5. **Automatic reminders for anything the client hasn't completed** That gets you most of the benefit without building an unnecessarily complicated system. If you tell me **what kind of agency you run, your current tools (CRM/project management/forms), and roughly how many new clients you onboard per month**, I can map out the exact automation workflow for you.

A marketing agency can automate onboarding and reporting by connecting its CRM, project management, document signing, communication, and analytics tools into a single workflow. The goal is to reduce manual work while giving clients a consistent experience. Here's a practical automation framework: | Stage | Manual Task | Automation | |-------|-------------|------------| | Lead becomes client | Create folders and projects | Automatically create client workspace, folders, and tasks | | Contract signed | Send welcome email | Trigger onboarding sequence | | Client onboarding | Collect information | Online intake form populates CRM and project tools | | Asset collection | Chase logos, passwords, brand guidelines | Automated reminders until everything is submitted | | Kickoff | Schedule meeting | Automatically offer booking link and create calendar invite | | Campaign setup | Create ad accounts, dashboards | Generate templates and assign internal tasks | | Reporting | Build reports manually | Automated dashboards refresh daily or weekly | | Client updates | Write status emails | AI-generated summaries from campaign data | ### 1. Automate client onboarding A typical workflow looks like this: 1. Client signs proposal. 2. Invoice is generated. 3. Welcome email is sent automatically. 4. Intake questionnaire is sent. 5. Client uploads assets. 6. Project is created. 7. Internal team is notified. 8. Kickoff meeting is scheduled. Tools commonly used: - CRM (HubSpot, Pipedrive, Salesforce) - Proposal & e-signature (PandaDoc, DocuSign) - Forms (Typeform, Jotform, Tally) - Project management (ClickUp, Asana, Monday.com) - Automation platform (Zapier, Make, n8n) Example automation: ``` Contract Signed ↓ Create Client in CRM ↓ Create ClickUp Project ↓ Create Google Drive Folder ↓ Send Welcome Email ↓ Send Intake Form ↓ Notify Slack Team ↓ Assign Tasks ``` --- ### 2. Collect client information automatically Instead of emailing back and forth, use an intake form to collect: - Business information - Brand guidelines - Competitors - Marketing goals - Target audience - Website logins - Social media accounts - Advertising access - Billing contacts The responses can automatically: - Populate your CRM - Fill proposal fields - Create project tasks - Generate onboarding documents --- ### 3. Automate asset collection Most onboarding delays come from missing assets. Create a checklist that automatically reminds clients until they've uploaded: - Logo - Brand colors - Fonts - Images - Previous reports - Google Analytics access - Google Ads access - Meta Business access - DNS access - CMS credentials If an item isn't submitted within a few days, send a reminder automatically. --- ### 4. Standardize project creation Instead of building every project from scratch: - Duplicate a project template - Assign tasks based on service purchased - Set due dates automatically - Assign team members - Generate recurring tasks For example: SEO client: - Technical audit - Keyword research - Competitor analysis - Content calendar - Monthly reporting PPC client: - Account audit - Conversion tracking - Campaign creation - Landing page review - Weekly optimization --- ### 5. Automate client communication Create automated email sequences such as: **Day 0** - Welcome - Next steps **Day 1** - Intake reminder **Day 3** - Missing assets reminder **Day 5** - Kickoff scheduling **Week 2** - Progress update **Monthly** - Performance report Clients stay informed without your team having to remember every follow-up. --- ### 6. Automate reporting This is often where agencies save the most time. Connect data sources such as: - Google Analytics - Google Ads - Meta Ads - LinkedIn Ads - TikTok Ads - Search Console - CRM - Email platform Then build dashboards showing: - Traffic - Leads - Cost per lead - ROAS - Revenue - Conversion rate - Top-performing campaigns - Keyword rankings Reports can refresh automatically every day or week. --- ### 7. Add AI-generated insights Instead of sending clients raw charts, use AI to generate summaries like: > Website traffic increased 18% this month, primarily driven by organic search. Paid search maintained a stable cost per acquisition while generating 24% more qualified leads. Next month we'll focus on expanding high-performing campaigns and improving landing page conversion rates. This saves time while making reports easier for clients to understand. --- ### 8. Automate internal notifications Examples include: - Notify the design team when brand assets arrive. - Notify the ad specialist when tracking is complete. - Notify account managers if a report shows a major KPI drop. - Alert the team if a client hasn't completed onboarding after a week. - Remind account managers when quarterly reviews are due. --- ### 9. Track onboarding progress Use a pipeline with stages such as: 1. Proposal signed 2. Payment received 3. Intake complete 4. Assets received 5. Accounts connected 6. Kickoff scheduled 7. Campaign launched 8. Reporting active Automated status updates make it easy to see where each client is in the process. ### Example end-to-end workflow ```text Client Signs Contract ↓ Invoice Generated ↓ Payment Received ↓ Welcome Email ↓ Intake Form ↓ Project Created ↓ Drive Folder Created ↓ Tasks Assigned ↓ Kickoff Scheduled ↓ Campaign Launch ↓ Weekly Dashboard Updates ↓ Monthly AI Report Sent ``` For a small to mid-sized agency, this approach can reduce onboarding time from several hours to under 30 minutes per client and cut monthly reporting from hours to minutes, while delivering a more consistent experience. The exact tool stack can be tailored to your agency's size and existing software, but the key is to have a single source of truth (typically a CRM) that triggers downstream automations across your other systems. | Stage | Manual Task | Automation | |-------|-------------|------------| | Lead becomes client | Create folders and projects | Automatically create client workspace, folders, and tasks | | Contract signed | Send welcome email | Trigger onboarding sequence | | Client onboarding | Collect information | Online intake form populates CRM and project tools | | Asset collection | Chase logos, passwords, brand guidelines | Automated reminders until everything is submitted | | Kickoff | Schedule meeting | Automatically offer booking link and create calendar invite | | Campaign setup | Create ad accounts, dashboards | Generate templates and assign internal tasks | | Reporting | Build reports manually | Automated dashboards refresh daily or weekly | | Client updates | Write status emails | AI-generated summaries from campaign data | ### 1. Automate client onboarding A typical workflow looks like this: 1. Client signs proposal. 2. Invoice is generated. 3. Welcome email is sent automatically. 4. Intake questionnaire is sent. 5. Client uploads assets. 6. Project is created. 7. Internal team is notified. 8. Kickoff meeting is scheduled. Tools commonly used: - CRM (HubSpot, Pipedrive, Salesforce) - Proposal & e-signature (PandaDoc, DocuSign) - Forms (Typeform, Jotform, Tally) - Project management (ClickUp, Asana, Monday.com) - Automation platform (Zapier, Make, n8n) Example automation: ``` Contract Signed ↓ Create Client in CRM ↓ Create ClickUp Project ↓ Create Google Drive Folder ↓ Send Welcome Email ↓ Send Intake Form ↓ Notify Slack Team ↓ Assign Tasks ``` --- ### 2. Collect client information automatically Instead of emailing back and forth, use an intake form to collect: - Business information - Brand guidelines - Competitors - Marketing goals - Target audience - Website logins - Social media accounts - Advertising access - Billing contacts The responses can automatically: - Populate your CRM - Fill proposal fields - Create project tasks - Generate onboarding documents --- ### 3. Automate asset collection Most onboarding delays come from missing assets. Create a checklist that automatically reminds clients until they've uploaded: - Logo - Brand colors - Fonts - Images - Previous reports - Google Analytics access - Google Ads access - Meta Business access - DNS access - CMS credentials If an item isn't submitted within a few days, send a reminder automatically. --- ### 4. Standardize project creation Instead of building every project from scratch: - Duplicate a project template - Assign tasks based on service purchased - Set due dates automatically - Assign team members - Generate recurring tasks For example: SEO client: - Technical audit - Keyword research - Competitor analysis - Content calendar - Monthly reporting PPC client: - Account audit - Conversion tracking - Campaign creation - Landing page review - Weekly optimization --- ### 5. Automate client communication Create automated email sequences such as: **Day 0** - Welcome - Next steps **Day 1** - Intake reminder **Day 3** - Missing assets reminder **Day 5** - Kickoff scheduling **Week 2** - Progress update **Monthly** - Performance report Clients stay informed without your team having to remember every follow-up. --- ### 6. Automate reporting This is often where agencies save the most time. Connect data sources such as: - Google Analytics - Google Ads - Meta Ads - LinkedIn Ads - TikTok Ads - Search Console - CRM - Email platform Then build dashboards showing: - Traffic - Leads - Cost per lead - ROAS - Revenue - Conversion rate - Top-performing campaigns - Keyword rankings Reports can refresh automatically every day or week. --- ### 7. Add AI-generated insights Instead of sending clients raw charts, use AI to generate summaries like: > Website traffic increased 18% this month, primarily driven by organic search. Paid search maintained a stable cost per acquisition while generating 24% more qualified leads. Next month we'll focus on expanding high-performing campaigns and improving landing page conversion rates. This saves time while making reports easier for clients to understand. --- ### 8. Automate internal notifications Examples include: - Notify the design team when brand assets arrive. - Notify the ad specialist when tracking is complete. - Notify account managers if a report shows a major KPI drop. - Alert the team if a client hasn't completed onboarding after a week. - Remind account managers when quarterly reviews are due. --- ### 9. Track onboarding progress Use a pipeline with stages such as: 1. Proposal signed 2. Payment received 3. Intake complete 4. Assets received 5. Accounts connected 6. Kickoff scheduled 7. Campaign launched 8. Reporting active Automated status updates make it easy to see where each client is in the process. ### Example end-to-end workflow ```text Client Signs Contract ↓ Invoice Generated ↓ Payment Received ↓ Welcome Email ↓ Intake Form ↓ Project Created ↓ Drive Folder Created ↓ Tasks Assigned ↓ Kickoff Scheduled ↓ Campaign Launch ↓ Weekly Dashboard Updates ↓ Monthly AI Report Sent ``` For a small to mid-sized agency, this approach can reduce onboarding time from several hours to under 30 minutes per client and cut monthly reporting from hours to minutes, while delivering a more consistent experience. The exact tool stack can be tailored to your agency's size and existing software, but the key is to have a single source of truth (typically a CRM) that triggers downstream automations across your other systems.

If you mean **Make.com (formerly Integromat)** rather than industrial automation, I’d shortlist these: 1. **Daily Automations** — **my pick for a typical small business.** They’re a certified Make partner in the U.S./Canada and explicitly focus on small businesses, including workflow automation, consulting, training, and ongoing support. [www.make.com](https://www.make.com/en/partners-directory/daily-automations?utm_source=chatgpt.com) [Daily Automations](https://dailyautomations.com?utm_source=chatgpt.com) 2. **MakeExperts** — better if you expect more complex integrations or want a larger team. They say they have 500+ automations, 150+ clients, and specialize exclusively in Make.com. [makexperts.com](https://makexperts.com/?utm_source=chatgpt.com) [MakeExperts](https://makexperts.com?utm_source=chatgpt.com) 3. **Nex Automations / Prem Patel** — worth considering for **AI-heavy automation**. Patel says he holds Make's Level 5 Expert certification and that Nex Automations is a Silver Partner. [community.make.com](https://community.make.com/t/hire-a-make-com-expert-for-ai-automation-ai-agents-and-ops-systems-level-5-silver-partner/99300?utm_source=chatgpt.com) 4. **Make's official Partner Directory** — probably the safest starting point if you want someone vetted by Make. Make says its partners are certified experts, with Platinum as the highest tier, followed by Gold and Silver. [www.make.com](https://www.make.com/en/partners-directory?utm_source=chatgpt.com) [Make Partner Directory](https://www.make.com/en/partners-directory?utm_source=chatgpt.com) ### What I'd do for a small business I'd **avoid paying a big agency $4k–$10k+ just to build a few scenarios**. Start with a consultant who will: - map your existing processes before building anything - build 1–3 high-ROI automations first - document the scenarios so you're not permanently dependent on them - include error handling and monitoring - train you or an employee to make small changes - charge fixed-price for defined projects when possible For context, one Make-focused consultancy currently advertises project work starting at **$2,500**, while its advisory retainer starts at $1,500/month. [makexperts.com](https://makexperts.com/hire-make-expert?utm_source=chatgpt.com) **If you tell me what your business does and which apps you use** (e.g. QuickBooks, Gmail, HubSpot, Shopify, Google Sheets, Calendly, etc.), I can narrow this down to **2–3 consultants that are actually a good fit**, including likely cost and whether I'd choose a solo expert or agency. [Daily Automations](https://dailyautomations.com?utm_source=chatgpt.com) [MakeExperts](https://makexperts.com?utm_source=chatgpt.com) [Make Partner Directory](https://www.make.com/en/partners-directory?utm_source=chatgpt.com)