Engage on either track on its own, or run them in parallel. Every engagement starts with a fixed-fee diagnostic and ends with a real system in production — not a slide deck.
Honest assessments, prioritized roadmaps, and the unglamorous decisions about what AI should and shouldn't touch in your business. We tell you when not to build.
2 weeks · fixed fee
A structured read of your current state — data, systems, processes, people, risk. You leave with a written diagnosis: where AI is real leverage, where it isn't, and what would have to be true to change that.
3–4 weeks
A sequenced, budgeted plan you can take to your board. Each initiative has an owner, a deployment milestone, an ROI threshold and a kill criterion.
1–2 weeks
Hands-on workshops with the teams that would actually use the AI. We surface real pain, score it honestly, and produce a backlog with build / buy / skip recommendations.
1–2 weeks
An AI policy, a model-selection framework, data handling controls, an incident playbook and EU AI Act alignment — sized for a real company, not a 70-page PDF that sits in SharePoint.
Production-grade agents, automations and AI systems — with the evaluations, guardrails and observability that make them safe to leave running. Source, prompts and dashboards belong to you from day one.
4–12 weeks per agent
A production agent with the tools, memory, retrieval and guardrails it needs to do a real job inside your business — not a demo. Shipped with an eval suite and a runbook.
2–8 weeks
Event-driven automations that route documents, draft replies, update systems and escalate the edge cases. From simple webhook flows to bespoke, full-graph systems.
3–6 weeks
Hybrid retrieval over the messy reality of your knowledge — SharePoint, Drive, Confluence, DMS, intranet, S3 — evaluated for accuracy and maintained as your knowledge changes.
4–10 weeks
An AI copilot embedded inside the tool your team already lives in — CRM, ERP, helpdesk, internal app — with the context, actions and guardrails of a senior teammate.
1–4 weeks
Connect Claude, GPT or your own agents to your real systems via Model Context Protocol, REST or events. Reusable, documented, owned by you.
Monthly retainer
We run the production layer with you — eval drift, model upgrades, prompt regressions, cost control, incidents — so the AI you deployed last quarter is still trustworthy this quarter.
An intro call is the cheapest way to find out. 30 minutes, senior strategist + engineer on the line, no deck.
