how we work

We embed, we do not advise from a distance. We work inside the operation, integrate AI into the actual workflow, and ship systems the team trusts in production. Two frames shape every engagement: a method we keep throughout, and a path the work travels from the first day on-site to the first quarter in production.

The 4D framework

The 4D practice is drawn from Anthropic’s published applied-AI work, and we hold to it on every engagement. Four disciplines:

• Delegation. We move only the right work to the model: the work where it is faster, calmer, or more consistent than the person doing it today. The rest stays with people.
• Description. We spell that work out as if briefing a thoughtful new colleague, with the context, the constraints, and the shape of a good answer. Tools and skills are the vocabulary we write it in.
• Discernment. We read the output the way a senior reads a junior. We build the eval before the agent, so drift is something we notice early rather than discover late.
• Diligence. We stay in the loop, treating safety, privacy, and reversibility as primary constraints. We operate the system, we do not just deploy it.

The engagement

The engagement itself is discovery-first, and it runs in three phases:

• Discovery. Roughly fifteen calendar days on-site, shadowing the work end to end. We leave with an audit, an opportunity map, and a calibrated roadmap.
• Service agreement. Scoped and milestone-based, built from the discovery evidence rather than a generic statement of work.
• Forward deployment. We stay embedded while the systems ship, building, evaluating, training the team to operate what we leave behind, and staying close through the first quarter of production.

The order matters. We earn the roadmap on-site before anyone signs to it, and we stay until the system runs in the team’s hands, not just ours. Under both frames sit six Anthropic primitives we compose into one practice: the API, Claude Code and the SDKs, the Model Context Protocol, Skills, plugins and tools, and Claude-managed agents. Most teams reach for one. We calibrate all six to the operation in front of us.