We build for people who have better things to do
We automate the repetitive to make your business more competitive.
You're running a real business.
AI shouldn't require a CTO.
The businesses that dominate the next five years aren't the biggest — they're the ones that figured out how to do more with the same team. Most small business owners don't have the time or background to figure out what to build, let alone how to build it.
What we actually build
Three tiers, clear scope, fixed pricing. Every engagement starts with a paid audit so we both know exactly what we're solving before a dollar goes toward building.
$150–250 / month
- 1 workflow from trigger to result
- Integration with your existing tools
- Plain-language handoff doc + Loom walkthrough
- 30-day monitoring + one optimization round
Automating one repetitive process typically recovers 5–8 hrs/week. At $25–40/hr admin-equivalent, that's $500–1,280/month recovered against a $150–250 retainer — breaking even in month one or two. Asana's 2023 Anatomy of Work found 62% of the workday goes to recurring tasks that contribute little actual output.
$400–700 / month
- 2–4 workflows with shared data layer
- CRM enrichment + data routing
- Custom dashboard (optional)
- Monthly optimization sprint included
10+ hrs/week recovered across 2–4 processes yields $1,200–3,000/month in labor efficiency. CRM enrichment adds a meaningful revenue multiplier on top: Harvard Business Review found businesses that respond to leads within an hour are 7× more likely to qualify them — a gap automation closes automatically.
$900–1,500 / month
- Full API integration with your software stack
- Executive real-time dashboard
- AI-assisted reporting + task management
- Quarterly strategy reviews
Multi-department automation with real-time visibility typically yields 20–35 hrs/week in team-wide efficiency and a 15–25% reduction in operational overhead. McKinsey's 2023 AI economics research found 60–70% of business activities across common functions are now automatable — the question is sequencing.
What this looks like
in practice
Illustrative engagements — the types of problems we solve and what the outcomes look like.
A Chicago-area massage and bodywork studio was losing roughly 8 hours a week to appointment admin — manual confirmation texts, no-show follow-ups, and rebooking emails all handled by the owner between sessions. Revenue wasn't the issue. Attention was.
We built a single workflow: new bookings trigger a confirmation sequence, a 24-hour reminder, and a post-visit message with a rebooking link. No-shows get a recovery email within the hour. The owner touches none of it.
A boutique event production company was running three people across five tools with no shared source of truth. Leads came in through the website, got copied into a spreadsheet, sometimes made it to a follow-up email, and occasionally got lost entirely. Proposals went out late. Invoices sat open.
We built a four-workflow system: new inquiry → CRM entry + owner alert → automated follow-up sequence → proposal sent → invoice triggered on approval. A simple dashboard showed pipeline status in real time for the first time.
A six-person management consultancy had grown past the point where spreadsheets and group chats could hold operations together. Onboarding new clients took two weeks of back-and-forth. Project status lived in people's heads. Reporting to partners was manual and always late.
We built full AI operations infrastructure: client onboarding automated from signed contract to first deliverable, project tracking with automatic status updates, an executive dashboard, and a reporting workflow that generated partner summaries every Monday without anyone compiling anything.
A 6-bay independent auto shop was running 40–50 repair orders a month and leaving significant revenue on the floor — missed calls going to voicemail, estimates sent and never followed up on, advisors fielding status calls all day, parts searches slowing down bays, and no single view of what was happening across the operation.
We built a 37-automation system deployed across five phases over 150 days. Phase 1 addressed the front desk: a missed-call text-back agent, a 24/7 website chatbot that qualifies and books after-hours customers, and an AI voice dispatcher that handles the FAQ layer without touching the advisor's phone. Phase 2 moved into the bays: voice-to-inspection transcription, digital MPI upsell sequencing, and a comeback detection agent that flags likely warranty returns before the customer calls to complain. Later phases added multi-supplier parts comparison, deferred work resurrection, bay load balancing, and a morning intelligence briefing that compiles overnight activity from five systems and delivers it as a single digest at 7:30 AM.
An independent sales rep covering a multi-state territory was spending 30–40% of prospecting time on manual research — building target lists, checking LinkedIn, tracking competitor activity, and manually logging contacts into a CRM that was always a week behind.
We built a three-agent system: a lead scraper that pulls and enriches prospect lists against defined criteria, a competitor monitoring agent that tracks pricing and positioning changes weekly, and a CRM sync workflow that logs all research output automatically with no manual entry.
From first message
to live system
The same process every time. No discovery calls without an intake form. No builds without a signed scope. No surprises.
Founding client rate — while spots remain
We're accepting a small number of founding clients at a reduced rate. You get the full build, the full process, and the same outcome — we get a real-world case study and a relationship we can point to. First come, first served. When they're gone, they're gone.
Who gets the most from this
AI Taylor works best when there's real operational weight behind the problem — repetitive volume, revenue on the line, or systems that don't talk to each other. These are the clients who see the fastest, clearest return.
Tell us what's
breaking down
8 questions · 3 minutes · instant tier recommendation and ROI estimate.
to revenue?
is slipping?
this happen?
the most time?
deal with this?
the advantage?
or automating what exists?
in this workflow today?
your tech stack?
to move forward?
this solved?
where do we send this?
Your recommendation is ready. Drop your name and email — we'll show it to you instantly and send a copy you can reference before the call.
Questions we actually get
Honest answers to the things people ask before they book the audit — or decide not to.
Do I need any technical knowledge to work with you?
None. You need to know your business — your tools, your pain points, where time gets lost. We handle everything technical and hand everything back in plain language with a walkthrough. If you can describe the problem, we can build the solution.
How is this different from setting up Zapier myself?
Zapier is a tool. What we build is a system — designed around your specific workflow, tested against your actual data, documented so you understand it, and monitored so it keeps working. The tool is often the easy part. Knowing what to build, in what order, and how to make it robust is the work.
What tools and platforms do you actually build on?
We work across the common small-business stack: Airtable, Notion, HubSpot, Google Workspace, Calendly, Stripe, QuickBooks, Slack, and most CRMs and scheduling tools. If your stack is unusual, the audit is where we figure out what's possible.
My business is pretty small. Is this really for me?
The Seed tier was designed specifically for independent operators and small teams — one painful process, fixed scope, clear cost. If you're spending more than 5 hours a week on something repetitive, it's likely worth automating. The audit tells you for certain.
What does the $300 audit actually produce?
A written bottleneck map, three identified quick wins with estimated impact, a projected ROI, and a recommended build tier with a rough scope. It's a working document you can act on with us or with anyone else. The $300 is credited toward a build if you move forward.
What happens if something breaks after you deliver it?
Every build includes 30-day monitoring. If something fails in that window, we fix it at no charge. After that, retainer clients get priority support as part of their monthly. We also document everything thoroughly enough that a competent developer could diagnose issues independently — we don't build black boxes.
Who owns the automations after you build them?
You do, fully. We operate BYOK-first — you hold your own API keys and tool subscriptions. We don't create dependency on a proprietary platform. If you ever want to take the work somewhere else, everything is documented and portable.
What if I'm not ready for a build yet — can I still get the audit?
Yes. The audit is designed to be useful regardless of whether you hire us. You'll leave with a clear picture of where your biggest opportunities are and what they'd cost to address. Some clients do the audit and implement smaller fixes themselves. That's a completely valid outcome.
Start with a conversation
Not a quiz person — or already know what you want? Fill this in and you'll hear back within 24 hours. We'll figure out the right starting point together.