AI for Operations.
Workflow automation, internal dashboards, reporting automation, SOP capture, and internal AI assistants. We give your team dozens of hours back every month so they spend time on what your customers actually pay for.
What this pillar actually does.
AI for operations is the layer that removes the busywork your team is doing right now: copy-pasting between tools, weekly reports nobody reads, onboarding docs that live in someone's head, monthly close that takes three days. We wire your tools together so data flows automatically, surface the numbers that matter in dashboards your team actually opens, and capture the institutional knowledge that walks out the door when someone leaves. Typical outcome: 40 to 120 hours per month returned to the team, monthly close cut from days to hours, onboarding 30 to 50 percent faster, SaaS bill down 10 to 30 percent in the audit phase alone.
The six workstreams.
1. Workflow automation
The CRM that doesn't talk to accounting. The inbox that doesn't trigger a CRM update. The Slack notification that nobody created. Each gap is a person manually moving data between tools, which is the single most expensive form of "free" labor in any SMB.
- Lead-to-CRM-to-calendar-to-email handoffs
- Invoice → accounting → reminder sequences for net-30 chasing
- Form submissions routed and tagged by intent before a human sees them
- Stripe / Square / payment events triggering follow-up workflows
- File creation in Google Drive / Dropbox triggered by a CRM stage change
2. Internal dashboards
One screen with the numbers that matter for your business. Pulled from CRM, accounting, ad platforms, call tracking, and inventory. Refreshed nightly. Visible to your team, not buried in a SaaS tool nobody opens.
- Pipeline health, response times, win rate
- Revenue by source, channel, salesperson, vertical
- AR aging and net-30 chase queue
- SaaS spend overview (the dashboard that pays for itself in month one)
- Built on Looker Studio (free), Metabase (free), or Sigma if you need more
3. Reporting automation
End the Monday morning scramble. Weekly and monthly reports build themselves, get drafted with an AI executive summary, and land in the right inbox at the right time. Your team edits the summary if needed and ships.
- Weekly KPI digest by department
- Monthly executive summary auto-drafted by AI from raw data
- Quarterly board pack assembled from monthly inputs
- Anomaly alerts: AI flags any metric outside expected range
4. SOP documentation
The process that lives in your head, or your operations lead's head, or your office manager's head, is the single biggest source of key-person risk. AI-assisted SOP capture interviews the person doing the work, drafts the written process, you edit and approve.
- Loom + AI transcription + AI structuring = SOP in 45 minutes instead of a week
- SOPs live in a searchable internal wiki, not on someone's desktop
- Onboarding new hires reads through the wiki, not over the shoulder
- Update cadence: quarterly review, AI flags stale SOPs
5. Tool integrations
CRM, accounting, inventory, scheduling, calendar, communications, all wired together so data flows where it needs to go. The integration layer matters more than any individual tool.
- HighLevel + QuickBooks + Stripe + Google Workspace + Slack as a typical SMB starter stack
- HubSpot + Xero + ShipStation + Outlook for slightly larger
- Salesforce + NetSuite + custom integrations for mid-market
- Legacy systems (no API) handled via headless browser automation
6. Internal AI assistants
An AI trained on your own data so your team asks questions about your own business in plain English and gets answers. "What did we quote ABC Construction in January?" "Who are our top 10 customers by lifetime value?" "What was last quarter's gross margin?"
- Custom GPT or Claude project trained on your SOPs, contracts, past quotes
- Glean or Notion AI for general internal Q&A across docs
- Slack bot integration so questions get answered where the team works
- Hardened against hallucination via source-citation requirements
Tools we use, by workstream.
Workflow glue
- Zapier, $20-$103/mo, broadest integration coverage, easiest UX
- Make (Integromat), $9-$29/mo, most powerful per dollar, steeper learning curve
- n8n, $20/mo cloud or free self-hosted, best for self-hosters or regulated
- Pipedream, $0-$29/mo, developer-friendly with code steps
Dashboards
- Looker Studio, free, the default for most SMBs
- Metabase, free open-source or $85/mo cloud, slightly more powerful
- Sigma Computing, $300+/mo, when you have a real data warehouse
- Hex, $20-$45/seat/mo, for teams comfortable with SQL + notebooks
SOP + internal knowledge
- Loom + AI transcription, $12-$15/seat/mo, for visual SOPs
- Notion AI, $10/seat/mo, for written SOPs with built-in Q&A
- Trainual, $79+/mo, SMB-focused SOP platform
- Glean, enterprise pricing, federated internal search
Custom AI assistants
- OpenAI custom GPTs, $20-$25/seat/mo, fastest to build, lowest cost
- Claude Projects, $20-$30/seat/mo, better at long context
- Anthropic API + Vercel AI SDK, pay-as-you-go, when you need custom UI
Numbers that move (typical SMB).
- Hours back per month: 40 to 120 across the team (depending on workflow count)
- Monthly close: 2-3 days down to 4-6 hours when reporting automation lands cleanly
- Onboarding new hires: 30 to 50 percent faster with documented SOPs
- SaaS bill: typically down 10 to 30 percent in the audit phase alone (consolidating overlap)
- Manual data entry: reduced 70 to 90 percent on automated workflows
- Time-to-answer on internal questions: minutes instead of "I'll get back to you tomorrow"
The five workflows we ship first (almost every engagement).
- Lead-to-CRM-to-calendar. Form submit → tagged in CRM → calendar invite drafted → sales rep notified. Zero copy-paste.
- Invoice → AR chase. Net-30 invoice unpaid? Day 31 reminder. Day 45 escalation. Day 60 ops gets notified. AI drafts personalized message per tier.
- Monthly close digest. Pulls from QuickBooks, summarized into 3-paragraph AI-drafted email. Operator edits, ships to stakeholders.
- Customer LTV dashboard. Top 10 customers, churn risk flags, expansion opportunities. Refreshed nightly.
- SaaS sprawl audit. Pulls subscription data from credit card or accounting, flags duplicates and unused seats. Almost always pays for the engagement in month one.
Common mistakes we see (and fix).
- Automating a broken process. If the manual process is wrong, the automated version is fast wrong. We map the process first, fix it, then automate.
- Skipping documentation. Workflows that nobody understands break in production and nobody can fix them. We document inline and in a shared wiki.
- Tool-stack maximalism. Buying 5 platforms when 2 would work. The integration layer matters more than the individual tool.
- No on-call owner. Workflows break when CRMs or accounting tools change APIs. Someone has to be on the hook to fix them. We document the on-call playbook as part of every engagement.
- No human in the escalation loop. Even automated workflows need a human for the 5 percent of edge cases. We design the escalation path before going live.
Common questions.
- What tools do you build automations on?
- Zapier, Make, n8n, and Pipedream for most workflows. We write custom code (Python, Node) when the lift is more than a no-code platform can handle. We do not lock you into proprietary glue, every workflow is documented and portable.
- How do you decide what to automate?
- Two questions: how many hours per week does this cost, and does the output have to be exact. Repetitive, tolerant of small errors, high-volume? Automate first. Once-a-quarter and consequential? Leave it to a human.
- Can you connect tools that don't have an API?
- Usually yes. Headless browser automation, email parsing, SMS triggers, and screen scraping cover most legacy systems.
- How much does ops automation cost?
- Setup $3,000 to $12,000 per workflow. Monthly platform $50 to $400. Most SMBs ship 3 to 6 workflows in year one and save 40 to 120 hours per month.
- Will my team resist this?
- Usually they ask for more once they see the first one ship. Ask the people doing the work which tasks they hate, then automate those. Adoption is automatic when the system removes work they want gone.
- What about data security?
- Workflows handle credentials via vault-style storage. For regulated industries we use BAA-signed platforms or self-host n8n on your infra. Audit logs mandatory on every workflow.
- How is this different from a Zapier setup my office manager already built?
- It's the same tool, different rigor. The difference is process mapping first, documentation, error handling, escalation paths, and on-call ownership. Office-manager Zaps break in production and nobody knows why; ours don't.
- What's the smallest engagement that makes sense?
- One workflow at $3,000 setup + $200/mo platform is the floor. Pays for itself in 30 to 60 days for most SMBs.
Ready to get your team's hours back?
15 minutes. Tell us which tasks are eating your team's calendar and we will tell you honestly which ones are worth automating first.
Book a Fit Call→