Short, practical notes from our engagements — what actually moves the needle in enablement, agents, MCP and evaluation. No thought-leadership filler; if it’s here, we’ve used it with a client.
Most organisations capture a fraction of the value of their AI tooling — not because the tools are weak, but because nobody changed the workflow around them. The fix is unglamorous: pilot pods, playbooks that live in the repo, and adoption you actually measure. We walk through the six-week pattern we use and the two metrics that predict success.
Request the full note →The distance between an impressive agent demo and a dependable production agent is architectural, not magical. Typed tool interfaces, explicit approval gates, eval harnesses in CI, per-run cost budgets and honest failure modes — we cover the five rules we apply to every build, and the incidents that taught us each one.
Request the full note →The Model Context Protocol turns every AI-to-system integration from a bespoke project into a standard connector: build it once, use it with Claude, ChatGPT, Copilot and whatever ships next. We explain what MCP changes for integration roadmaps, where the security boundaries sit, and which connector to build first.
Request the full note →If your only quality signal is “the demo looked good”, you have no quality signal. This note walks through building a gold dataset from real cases, choosing scoring dimensions that map to business risk, and wiring the eval suite into CI so every prompt change is a measured change.
Request the full note →Teams routinely overspend on AI by 3× — oversized models for simple tasks, uncached context re-sent on every call, retries nobody monitors. We show the four highest-yield fixes we apply in cost reviews, and how to keep spend visible per team and per feature from day one.
Request the full note →A chatbot that answers badly embarrasses you; an agent that acts badly costs you. Governance has to move from policy documents into the runtime: scoped permissions, approval gates on consequential actions, and audit trails a regulator can follow. Here’s the framework we deploy.
Request the full note →Every note above started as a client engagement. Yours could be next.