00 / Practical AI implementation
We build the AI systems your team will actually use.
For operationally busy companies turning scattered AI experiments into workflows that hold up on Monday morning. Fixed scope, fixed price, clean handoff.
Your team is experimenting with ChatGPT, Claude, and Copilot. Prompts are scattered across browser tabs. Subscriptions stack up. Knowledge that should be shared is trapped in someone's chat history. AI activity is high. The Monday work hasn't changed.
designed · built · documented · handed off
01 / Problem
AI activity is high. AI infrastructure is missing.
Most teams we talk to have the same pattern:
- Weekend tinkering
- The owner is tinkering on weekends and dropping new tools on the team Monday morning.
- Trapped prompts
- The marketing director's best prompt is stuck in her ChatGPT history. The head of sales can't build on it.
- Stacking subscriptions
- Subscriptions keep stacking. Some get used. Most don't.
- Volume without results
- More gets generated. Nothing gets finished any faster.
- No change after 18 months
- 18 months in, Monday morning looks exactly the same.
The problem isn't access to AI. It's that nobody is building the operating layer underneath it.
02 / What we do
We don't stop at the strategy. We build it.
You get the strategy. You just don't get left to execute it alone. No deck in a drawer, no 60-page roadmap obsolete before it lands on your desk.
We map the workflows your team actually runs: proposals, intake, support, reporting, internal knowledge. We identify where AI creates real time savings, where it adds risk, and where it should stay out of the way. Then we design, build, document, train, and hand it off.
03 / Who this is for
Built for operationally busy companies.
5–100 person businesses (founder-led, partner-led, or PE-backed) where:
- Unstructured use
- Employees are using AI without structure
- Scattered knowledge
- Knowledge lives across drives, inboxes, and people's heads
- Admin overload
- The team is drowning in admin, document, intake, or reporting work
- Real help wanted
- Leadership wants AI to actually help, not become another tool to manage
We're not the right fit if you're after no-human-review automation, a cheap pair of hands to build a pre-written spec, or a 60-slide "AI Strategy" deck.
04 / Offers
Every engagement priced and scoped here.
No discovery call required to know what it costs.
AI Working Call
$250 / 60 min
Paid at booking.
A focused working session. We review your business, the workflows causing the most pain, current AI usage, and the realistic opportunities.
You leave with
A short written AI Opportunity Note covering the top opportunities, rough impact and difficulty, obvious risks, and a recommended next step: DIY, audit, implementation, or none of the above.
AI Opportunity Audit
Starting at $7,500
Structured review of your workflows, current AI usage, tools, data, knowledge, and team readiness. We rank opportunities, flag what to avoid, and deliver a 30/60/90-day roadmap with implementation paths costed.
You receive
Executive summary, prioritized opportunity backlog, workflow analysis, tool and data readiness notes, governance recommendations, and an implementation roadmap.
AI Implementation Sprint
Typically $25,000–$50,000
Design, build, document, and hand off one or more AI-enabled workflows. Examples: internal knowledge assistant, proposal or quote drafting, intake triage, sales or reporting automation, team enablement.
You receive
A working system, documentation, team training, and a 30-day post-launch support window. Then we leave.
Note: Optional 4-hour monthly check-ins are available after a Sprint. We don't do open-ended retainers. They reward the relationship lasting, not the work being done.
05 / Where AI usually helps
Examples of useful AI inside operations.
- Proposals in hours, not days.
- Intake notes, service details, and pricing logic into structured first drafts.
- A wiki that doesn't go stale.
- Internal assistant trained on your SOPs, sales material, and project notes.
- Cleaner intake.
- Inbound requests classified, triaged, drafted, and routed.
- Consistent support.
- Drafted responses using approved knowledge and customer context.
- Quieter inboxes.
- Meetings, documents, and threads turned into action items.
- Sales activity that doesn't slip.
- Notes summarized, follow-ups drafted, records enriched, stale deals flagged.
- Reporting that runs itself.
- Recurring activity compiled into management reports.
- AI used the same way across the team.
- Rules, templates, training, so the work stops being chaos.
06 / Process
Three steps. No strategy phase.
- Step 01
Identify.
We map the workflows where AI actually saves time, and the ones to skip.
- Step 02
Build.
We design, implement, and document the system. Your team is involved enough to own it after.
- Step 03
Hand off.
Training, documentation, 30 days of post-launch support. Then we leave.
07 / Credibility
Built by operators, not consultants.
We don't hand you a deck. We build. Fixed scope, fixed price you can see on this page, no long-term retainers. Engagements end with a working system, documentation, training, and your team owning it.
Behind the work: 11+ years of production software engineering across APIs, business systems, automation, and AI workflows. We approach AI as engineering, not strategy.
Selected work
Multi-brand restaurant group
6 hrs → 20 min
weekly ops reporting, per brand
Sales, labor, and inventory across seven brands compiled into one manager-ready summary every week. No more Monday spreadsheet assembly.
Covalt · medical-device RepOps
~8 hrs/wk
rep + ops admin recovered
AI that turns case texts, surgeon preferences, and field-inventory notes into structured records. The gap between the ERP and the group chat, closed.
Permit Hound · permit intelligence
40k+/mo
permits auto-classified
Messy county permit records ingested, classified, and enriched automatically, then pushed out as monitored alerts. Manual lookups gone.
08 / FAQ
Common questions
- Where should we start?
- With your workflows, not your tools. The Working Call is built for this: 60 minutes to map where AI actually saves time and where it doesn't.
- Do you build, or just advise?
- We build. Implementation work includes automations, internal assistants, workflow systems, integrations, documentation, and team rollout. Training is part of it. Strategy decks are not.
- How do you handle sensitive data?
- We identify what data is involved, which tools may touch it, and where human review is required. Practical governance is part of every engagement, not a substitute for legal or enterprise security review.
- Why no retainer?
- Retainers reward the relationship lasting, not the work being done. We charge for defined work with defined exits. If you want ongoing input after a Sprint, we offer 4-hour monthly check-ins: capped, not open-ended.
- What types of businesses are a good fit?
- Operationally busy 5–100 person businesses with real document, communication, intake, reporting, or knowledge workflows. Founder-led, partner-led, and PE-backed all work.
09 / Start here
One focused session is the first step.
You don't need an AI strategy project. One conversation, one short written opportunity note, one clear next step.