Senior leadership for your AI engineering — strategy, architecture, and team mentoring.
For teams scaling AI without a full-time AI lead yet. A peer and advisor to the CTO, not a replacement — with a written strategy memo every month.
We map where AI stands across your engineering org — strategy, architecture, team, and the gaps.
Architecture reviews and sign-offs, roadmap ownership, and the calls that keep AI on-strategy.
We level up your engineers on agentic practice and support hiring for the eventual full-time lead.
A written monthly strategy memo — decisions, direction, and what the board needs to hear.
A coherent AI direction the whole org runs on — not a pile of disconnected experiments.
What you receive
What ownership looks like: the strategy memo, the architecture sign-offs, and the roadmap the org runs on. A sample is shown; yours is scoped to your org.
Senior sign-off on the calls that are expensive to get wrong.
A sequenced plan the whole org runs on.
Direction and decisions, written down — so strategy is legible to the whole org, not trapped in one head.
1# AI Strategy — April23## Decisions4- Ship eval-gated CI before any agent reaches main5- Standardize on MCP for all tool access6- Build the support agent in-house, not Agentforce78## Risks9- Model cost trending +12% MoM — cap + route10- One engineer owns the eval harness (bus factor)1112## Next13- Scope the custom support agent (Q3)14- Open the full-time Head of AI search
Senior AI leadership and executive presence — before you're ready to hire a VP.
A peer and advisor on agent strategy and architecture, not an org-chart replacement.
Credible senior ownership of AI strategy while the full-time search runs.
We scope the exact number with you, and sign a mutual NDA before any code or data is shared.
Build logs, agentic engineering decisions, agent failures, evals, and what survives real users. Sent weekly, never more.