Practice — 03
Resident Engineering for AI
Slideware does not secure an agent. Our engineers take up residence inside your teams — building, hardening and instrumenting the pathways by which AI systems reach your data, until safe operation is a property of the architecture rather than a promise in a policy.
What residents build
Grounding with guardrails
Retrieval pipelines that respect sensitivity labels and permissions at query time, so a copilot can only ever answer from what its user is entitled to see.
Agent boundaries
Scoped identities, least-privilege connections and hard limits on the actions autonomous agents may take — designed in, tested adversarially, and monitored in production.
Audit by default
Every prompt, retrieval and action logged into your existing audit fabric, so an AI incident can be reconstructed with the same rigour as any other security event.
Your engineers, upskilled
Residency ends with your people running the platform. We leave behind patterns, pipelines and a team that no longer needs us — the only honest measure of a consultancy.
The residency model
A residency is a small, senior team — never a bench. Two to four engineers, one of whom is always a principal, working inside your delivery cadence for a defined term of eight to twenty-four weeks. Scope is agreed as outcomes: a hardened retrieval layer in production, an agent platform passing adversarial review, a Copilot rollout cleared by your security office. When the outcome ships, the residency ends.