AI deployment for small businesses, without an AI team.
You don’t need a five-person AI team. You need one workflow that recovers missed leads, follows up on every open quote, and stops admin from eating your week. That’s what I build — installed inside the tools you already use, measured against real outcomes, then kept running.
No dashboard pitch. No AI theater. One workflow deployed first.
Enterprise gets AI deployment teams. Small businesses need one too.
Big companies get forward-deployed engineers, internal AI teams, six-figure transformation budgets. Owner-led businesses get the opposite: tool overload, half-finished automations, and nobody owning the result. I bring the enterprise deployment model down to the SMB scale — one workflow at a time, installed in the tools you already pay for.
- — Internal AI teams
- — Consultants on retainer
- — Systems integrators
- — Large transformation budgets
- — One owner
- — The tools you already pay for
- — No internal AI team
- — Working workflows, not strategy decks
The Missed Revenue Recovery Pilot.
One revenue leak found. One workflow deployed inside the tools you already use. One honest answer at the end — with or without a retainer. No giant SOW, no “phase one of seven,” no platform you have to learn.
- Astep
Find the leak
Pick one place where leads, quotes, or customer requests are dying. Forms going unread. Estimates never followed up. Inbox eating the morning.
- Bstep
Deploy one workflow
I build a small AI-assisted workflow inside your existing tools — email, CRM, forms, scheduling. No new platform, no rebuild, no software you have to learn.
- Cstep
Prove value
Replies sent. Quotes touched. Estimates booked. Hours given back to the owner. Measured against the baseline before deployment — not estimated.
- Dstep
Operate on retainer
If it works, I keep it running and find the next workflow worth deploying. If it doesn't, the engagement ends with a clean writeup. You walk away with what was learned.
Small workflows. Real business impact.
Each one is a real first-deployment candidate. The right one for you is wherever revenue or hours are bleeding fastest right now.
- 01
Missed inquiry recovery
- Problem
- Inbound calls, form fills, and chat messages go cold before anyone responds.
- Workflow
- Detects gaps and prepares a drafted, source-linked follow-up the owner can send in one tap.
- Measured by
- Reply rate. Re-engaged jobs per month.
- 02
Quote follow-up assistant
- Problem
- Estimates sit in a folder. Most never get a second touch. Revenue leaks quietly.
- Workflow
- Tracks open quotes, drafts a context-aware follow-up sequence with human approval before sending.
- Measured by
- Quotes touched per week. Conversion lift on follow-ups.
- 03
Website lead response
- Problem
- Form leads wait hours for a reply. The first vendor to respond usually wins the job.
- Workflow
- Reads the inquiry, drafts a tailored response, and queues a same-hour reply for review.
- Measured by
- Median time to first reply. Booked estimates from web leads.
- 04
Inbox triage
- Problem
- Customer messages mix with marketing, vendor mail, and internal noise. Real requests get buried.
- Workflow
- Sorts the owner's inbox into a working queue: customer first, urgent first, with one-line summaries.
- Measured by
- Time spent in inbox. Customer messages handled within the hour.
- 05
Review and referral follow-up
- Problem
- Happy customers stay quiet because no one asks at the right moment.
- Workflow
- Detects job completion, drafts a personal review and referral request, and routes it to the owner.
- Measured by
- Review volume. Repeat and referral revenue.
- 06
Daily owner briefing
- Problem
- Owners reconstruct status from memory: who quoted, who responded, what is at risk today.
- Workflow
- Sends one short morning summary of new leads, open quotes, stuck threads, and recommended next moves.
- Measured by
- Decisions taken before 9am. Slipped quotes recovered.
- 07
CRM cleanup and lead status
- Problem
- The CRM is half-empty, half-wrong. Reports lie. Pipeline is a guess.
- Workflow
- Reconciles fields from email, forms, and notes. Flags stale or unclear leads for a 30-second owner review.
- Measured by
- Pipeline accuracy. Leads with a real next step.
- 08
Customer FAQ assistant
- Problem
- The same five questions arrive every week and eat the owner's afternoon.
- Workflow
- Drafts answers from past replies and policy. Human review before send. Learns the voice.
- Measured by
- Repeat-question volume. Admin minutes saved per week.
Built for owner-led service businesses.
One missed estimate request can be hundreds or thousands of dollars walking out the door. Follow-up isn’t admin work. It’s revenue operations.
- 01Roofingfirst-deployment fit
- 02HVACfirst-deployment fit
- 03Plumbingfirst-deployment fit
- 04Remodelingfirst-deployment fit
- 05Garage doorsfirst-deployment fit
- 06Pest controlfirst-deployment fit
- 07Landscapingfirst-deployment fit
From AI idea to deployed workflow in days, not months.
Five steps. No discovery theater. The smallest useful version ships first — then earns the right to grow.
- 01
Diagnose
Pick one workflow with visible revenue or admin leakage. We start from where money actually slips.
- 02
Design
Map the current process, tools, handoffs, and failure points — the way work really moves, not the org chart version.
- 03
Deploy
Build the smallest working workflow using the systems you already use. No platform migration.
- 04
Measure
Track whether the workflow creates replies, bookings, time savings, or visibility the owner can act on.
- 05
Operate
Keep improving the workflow instead of leaving you with another half-finished automation.
Built by a software developer, operated like a deployment partner.
One person, accountable end-to-end. No agency handoff. No project-manager layer between you and the work. The person who scopes the workflow is the person who builds, deploys, and operates it.
- Experience
- 7+ years software development
- Focus
- AI and automation systems
- Background
- Security-minded engineering
- Engagement
- Direct founder involvement
- Philosophy
- Implementation over strategy decks
Not another AI strategy workshop.
Clear boundaries are part of the offer. The sharper they are, the faster real work ships — and the less of your money I waste guessing.
Compare with hiring an in-house AI team- One workflow deployed first
- Existing tools connected
- Human review where the risk sits
- A clear success metric
- Retainer only after value is visible
- A chatbot demo
- A slide deck
- A full CRM rebuild
- Generic AI consulting
- Autonomous outbound without approval
- A guaranteed revenue claim
Questions an owner asks before letting AI touch the business.
Owner-led service businesses in the US — roofing, HVAC, plumbing, remodeling, garage doors, pest control, landscaping. Teams where the owner still sees most decisions, follow-up is inconsistent, and inbound revenue depends on speed.
No. The default is to deploy inside the tools you already use — email, forms, your CRM, your scheduling app. A website or CRM change is only on the table if the current setup actively blocks the workflow, and even then it is a separate decision.
No. The first workflow is almost never a chatbot. It is usually a follow-up draft, an inbox queue, a daily briefing, or a quote-touch sequence. The AI prepares work. A human reviews and sends when stakes are real.
From a first call to a working version is usually days, not months. The smallest useful deployment ships first. Polish and additional workflows come after the first one is steady and measured.
Standard small-business stacks: Gmail and Outlook, Google Workspace, web form providers, common CRMs (HubSpot, Pipedrive, Zoho, JobNimbus, ServiceTitan, Housecall Pro and similar), spreadsheets, scheduling apps, and document storage. If a tool has a sensible API or export, it is usually reachable.
Not by default. The first version always has a human approve outbound messages where risk is real. Fully automated sending is only enabled later, narrowly, when the workflow is well understood and you explicitly opt in.
If the workflow is creating measurable value, it moves to a small monthly retainer that covers operation, monitoring, and ongoing improvement — and we look for the next workflow worth deploying. If it is not, the engagement ends with a clear writeup.
A service. The first version is deliberately not a SaaS platform. The goal is one deployed workflow that lives inside your business, not a new tool you have to learn and maintain.
The first version focuses on non-regulated owner-led service businesses. Healthcare, legal, and finance can be in scope later, but only with a properly defined compliance and review scope. For most home-services teams, this is not a constraint.
Customer data stays inside your accounts wherever possible. AI calls use providers with no model training on your data. High-risk outputs are reviewed before sending. Access is least-privilege, and any credentials are stored in your environment, not in a shared platform.
One workflow leaking time or revenue?
Send a short description of the workflow. You’ll get back a practical first deployment idea — or an honest answer that there’s a faster fix that doesn’t involve AI at all. No sales call required to find out.
2–3 sentences are enough. No sales call required to start.