David Scott

Design multi-agent environments where specialised agents hold distinct roles, isolated profiles, and scoped tool access — with an orchestrator that decomposes missions and routes them, and a lifecycle state machine that makes illegal transitions impossible rather than unlikely.

Decide what each agent is given, from where, and under what guarantees: shared company context, per-client workspaces that fail closed across boundaries, versioned knowledge with provenance on every fact, and changes that flow through approval instead of overwriting history.

Build on OpenAI, Anthropic, and Google model families — tool and function calling, retrieval, memory and state, agent-to-agent handoffs, and long-horizon workflows that survive being interrupted, resumed, and audited.

Run agents as production infrastructure: authenticated execution, scheduled runs, health and readiness checks, liveness and timeout sweeps, idempotent event ingestion, cost tracking, and cancellation, suspension, and kill controls that work while a mission is in flight.

Verify behaviour instead of assuming it: golden-path test suites over the same command core the agents call, adversarial isolation tests, scripted UI verification passes captured as evidence, and status reporting that distinguishes implemented from specified from deliberately deferred.

Connect AI to the systems a business already runs — CRM, calendars, mail, sheets, telephony, and third-party APIs — behind replaceable adapters and typed ports, so an execution engine or vendor can be swapped without rewriting the system around it.

Architect voice-driven workflows: immediate inbound response, conversational qualification, outbound engagement, booking and pipeline movement, structured capture of spoken input into records, and defined escalation to a person.

Take products from discovery through architecture, AI-directed development, testing, deployment, documentation, and iteration — shipping full-stack applications and operator interfaces, mobile-first, with the deployment and recovery runbooks that keep them alive.

Map existing processes, prioritise use cases against effort and risk, redesign the workflow around the automation rather than bolting it on, and pair every deployment with training, documentation, approvals, and escalation paths so it is actually adopted.

Run readiness assessments, evaluate vendors and platforms, plan phased roadmaps and ROI, review security and governance posture, and translate technical trade-offs into decisions an executive team can actually make.