AI Workflow Automation
The repetitive work in your business follows rules. Software is very good at rules. We connect the two.
What we automate most often
Lead and client intake
Web form, phone call or email arrives → information extracted, CRM record created, owner notified, client sent a confirmation, follow-up scheduled. No one retypes anything.
Quoting and proposals
Scope details in, a formatted draft quote out in minutes, using your pricing rules and your template. A human still reviews and sends it — that part matters.
Scheduling and dispatch
Availability, travel time, skill matching and confirmation reminders handled automatically, with exceptions escalated to a person.
Document generation
Engagement letters, contracts, meeting minutes, violation notices, summaries — drafted from your templates and your data, ready for review.
Inbox triage
Shared inboxes sorted, urgent items surfaced, routine replies drafted, and everything logged against the right client record.
Reporting
The Monday morning report someone assembles by hand from four systems, built automatically and delivered before they arrive.
How we build
We are deliberately unglamorous about tooling. The best solution is usually a combination of features you already pay for, an automation layer, and a narrowly-scoped AI step where genuine judgment or language handling is required. We build custom code when it earns its place, not by default.
- Your existing stack first. Most CRMs, practice management systems and field service tools have automation features nobody has turned on.
- A human in the loop wherever it matters. Anything that goes to a client, touches money, or carries legal weight gets reviewed by a person before it leaves the building.
- Fail loudly. Automations that break silently are worse than no automation. Everything we build reports its own failures.
- Documented and transferable. Written runbooks, named internal owners, and no undocumented dependency on us.
The three-condition test
Before we automate anything, it has to pass three tests. Volume: does this happen often enough to matter? Repetition: is it substantially the same each time? Rules: can the decisions be described in writing? Work that fails any of the three usually should stay with a person, and we will tell you so.
What we will not do. We do not build systems that send unreviewed AI-generated communications to your clients, and we do not automate work where a mistake is expensive and hard to detect. Those projects demo beautifully and fail in production.
Typical project shape
| Scope | Timeline | Typical investment |
|---|---|---|
| Single workflow, existing tools | 3–5 weeks | [$X,XXX] |
| Multi-step workflow with custom integration | 6–10 weeks | [$XX,XXX] |
| Department-wide automation program | 3–6 months | [$XX,XXX+] |
Ongoing support and iteration is available on a monthly basis. See pricing.
Find out what AI is actually worth to your business
Book a free 30-minute working session. We map your three most repetitive workflows, estimate the hours and dollars on the table, and tell you plainly whether AI is the right tool — or whether it isn't.
Frequently asked questions
Do we have to replace our current software?
Almost never, and we push back hard when a vendor suggests it. Ripping out a working system is expensive, disruptive, and usually unnecessary. We build around what you have unless the existing tool genuinely cannot do the job.
What happens when the automation makes a mistake?
It will, occasionally. That is why review steps exist at every point where an error would be costly, and why everything we build logs what it did. When something breaks you get an alert, not a silent failure discovered three weeks later by a customer.
Will this cost us jobs?
In small businesses, almost never — you are not overstaffed, you are under-capacity. What actually happens is that people stop spending Tuesday on data entry and spend it on work that requires a person. That said, if you are automating specifically to reduce headcount, say so upfront so we can plan the transition honestly rather than discovering it mid-project.
Who owns what you build?
You do. Code, configurations, prompts, documentation and accounts are yours, in your accounts, under your billing. We do not hold your automations hostage on our infrastructure.
What does it cost to run once it is built?
Usually less than people expect — API costs for most SMB workflows run from a few dollars to a few hundred dollars a month, plus any subscription for the automation platform. We estimate running costs in the proposal, not after you have committed.