Service · AI Product Delivery
Turn your AI prototype into a product feature users can trust.
Most AI initiatives don’t fail on the model — they fail on the workflow around it: grounding, permissions, fallback states, approval steps, latency, and the unglamorous integration work. Building exactly this layer inside Writer, an enterprise generative AI platform, has been my daily work since 2023 — and I help other teams get through it faster.
Sound familiar?
The situations this service exists for.
- ■A demo impressed everyone six months ago, but there’s still no production feature
- ■Output quality is unpredictable and nobody has defined what 'grounded' means for your product
- ■Legal, security, or enterprise customers are blocking rollout on permissions and data handling
- ■The AI feature works — until an API fails, a document is missing, or a user does something unexpected
Scope
What the work covers.
- ■Product workflow design for AI features: when to automate, when to ask, when to fall back
- ■Agentic workflows and orchestration with guardrails and failure handling
- ■RAG and retrieval design: source grounding, citations, knowledge connectors
- ■Human approval flows, permissions, and enterprise access control (SSO, SCIM, roles)
- ■Integration with existing SaaS surfaces: web apps, browser extensions, third-party APIs
- ■Observability and analytics so you can see what the AI is actually doing in production
Outcomes
What you end up with.
- ■An AI feature that ships — with defined behavior for the unhappy paths, not just the demo path
- ■A workflow your enterprise customers’ security teams can approve
- ■An architecture your own engineers can extend after I leave
Engagement formats
How to buy this.
Technical Strategy Session
60–90 minutes
A paid working session on one defined problem: an architecture choice, an AI feature plan, a performance question, a build-vs-buy call. You bring the context; I bring pattern recognition from 13+ years of shipping in situations like yours.
Start here →Product & Architecture Diagnostic
3–5 days
A focused investigation of one high-impact problem. I read the code, profile the system, interview the people closest to the pain, and separate symptoms from causes.
Start here →Implementation or Rescue Sprint
2–4 weeks, fixed scope
I take hands-on ownership of the most critical part of the work — writing production code, making the blocking decisions, and coordinating with your product, design, and backend people until it ships.
Start here →Entry product
The lowest-risk way to start: a focused, fixed-scope investigation that produces findings your team can act on — whether or not we work together afterwards. Scoped after a fit call.
- ■Workflow and failure-state review
- ■Grounding and data-access assessment
- ■Permission and security risks
- ■Observability gaps
- ■Rollout sequence
- ■Prioritized implementation plan
Request diagnostic scope →- ■You have an existing product and engineering team, and an AI feature that must become real
- ■Enterprise customers or security reviews are part of your reality
- ■You want senior hands-on ownership, not another slide deck
Not a fit
This is not a fit when…
- ■You need model training or AI research rather than product engineering
- ■There is no internal team to hand the work to afterwards
- ■The goal requires overstating evidence, security, or compliance
Do you work with our existing AI stack?
Yes. I work inside your model, retrieval, and infrastructure choices — the value is in the workflow, grounding, permissions, and failure states around them, not in replacing your stack.
How do we start?
A free 20-minute fit call, then usually the AI Production Readiness Diagnostic — a short investigation that produces ranked findings and a rollout plan before any larger commitment.
Writer
AI agents demo well and fail quietly. At Writer I build the layer that makes them dependable: workflow structure, grounded knowledge, enterprise identity, and the unhappy paths.
Tell me what is blocked, underperforming, or difficult to ship.
I will tell you whether I can help — and what the smallest useful next step would be. If I’m not the right person, I’ll say so.