Done-for-you implementation
We make one team, function, or workflow ready for AI agents in 30 days.
Context packs, access patterns, agent instructions, owners, and a rollout plan your team can keep using.
The sprint does not try to boil the ocean. It makes one important slice of work readable to AI, proves the pattern, and leaves the team with a system to expand.
You have AI tools, but results depend on individual prompting skill
Your best context lives in meetings, Slack threads, tickets, and old docs
Teams keep explaining the same background to Claude, Codex, or internal chat tools
You want AI connected to company context, not another standalone experiment
You need a practical first implementation, not a strategy deck
You want a reusable pattern other teams can copy after the first build
Week 1
Week 2
Weeks 3–4
AI-readiness diagnosis for the chosen team or workflow
Source-system and permission map
Context architecture and folder model
First company, team, product, customer, policy, and decision packs
Agent instructions and quality bars
Claude, Codex, Slack, internal chat, and repo access plan
Owners, freshness rules, review cadence, and update process
Team enablement session
30/60/90-day rollout plan
Boundary
The sprint builds the operating layer AI depends on: context, instructions, access, ownership, and update loops. Tools can change. The system stays useful.
If it works once, the rest of the company has a pattern to copy.