AI that matches how your business actually operates.
A two-to-three-week engagement that audits your current AI usage, builds a custom prompt architecture mapped to your real workflows, and hands you a reusable prompt library — so AI stops producing generic outputs and starts producing yours.
- Deliverable
- Prompt architecture + 15–25 prompt library + integration plan
- Timeline
- 2–3 weeks · discovery + build + delivery
- Audience
- Operators · founders
- Best fit
- Teams using AI tools but still doing the same work by hand
“The outputs don’t actually match how my business works.”
You have the tools. You have a subscription — or three. You’ve watched the demos. And you’re still doing most of the work the way you did it before, because the AI doesn’t know your client mix, your tone, your decision rules, or the way your team actually moves work through. AI Process is the engagement that closes that gap.
Five components. Every engagement.
AI usage audit
A structured look at the AI tools your team is using, where they’re working, where they’re failing, and where they aren’t being used at all.
Custom prompt architecture
A prompt system mapped to your actual workflows — not generic templates. Tone, decision rules, and business context built in.
Reusable prompt library
Fifteen to twenty-five production-ready prompts organized by workflow, with usage notes and an update protocol.
AI operations integration plan
Where each prompt sits inside the workflow, who runs it, what gets human review, and what crosses the data-sensitivity line.
Team briefing document
A handover document the team can read once and use — what each prompt is for, how to invoke it, and what to escalate.
Discovery. Build. Delivery. Two to three weeks end to end.
Every phase has a working output. No theory weeks. No deliverable that arrives as a deck and dies in a folder.
Audit current AI usage, map the workflows that should be AI-supported, identify data-sensitivity boundaries and integration constraints. Output: the AI usage audit.
Construct the prompt architecture, write and test the prompt library against real cases, build the integration plan. Output: prompt library and integration plan.
Walk the team through the library, the integration plan, and the escalation protocol. Output: team briefing document, signed-off and in use.
Three places the library goes to work.
Repetitive client-facing work
Drafting, summarizing, briefing, formatting — the work that has the same shape every time but used to require an analyst’s attention each pass.
Internal documentation and SOPs
Turning meetings, notes, and tribal knowledge into documents that read like the team wrote them — because the prompt architecture knows the voice.
Decision support, not decision-making
AI surfaces options, structures evidence, and pressure-tests assumptions. People still decide. The library is built around that line.
Three things this engagement is consistently mistaken for.
Stop running AI generic. Build the layer that matches your business.
AI Process & Workflow Strategy is a two-to-three-week engagement. Fixed scope. A prompt library and integration plan you can use the day it’s delivered.