Done-for-you implementation

Agent-Ready Company Sprint

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.

For companies where context is now the bottleneck.

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

What happens in the sprint

Week 1

Pick the right wedge

  • Interview the operators, team leads, and heavy AI users
  • Map the context people keep re-explaining
  • Inventory source systems and permission boundaries
  • Choose the first team or workflow to prove the model

Week 2

Design the operating layer

  • Define the context architecture and templates
  • Separate approved context from raw source material
  • Set update rules, owners, and review process
  • Design access through chat, coding, Slack, and internal assistants

Weeks 3–4

Build the first version

  • Curate the initial context packs
  • Write reusable agent instructions and quality bars
  • Set up the agreed access patterns
  • Test with the team, capture failures, and tighten the system

What you get

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

Not a custom automation shop.

The sprint builds the operating layer AI depends on: context, instructions, access, ownership, and update loops. Tools can change. The system stays useful.

Not a fit if you want:

  • ×Generic AI awareness training
  • ×A vendor to automate every messy process indefinitely
  • ×No owner for context quality and upkeep
  • ×Tool adoption metrics without changing how work runs

Build the first agent-ready workflow.

If it works once, the rest of the company has a pattern to copy.

Book a 20-minute call →