Agentforce & enterprise agents
Agents can retrieve knowledge, assist users and perform defined actions. The architecture around them determines whether that behaviour is useful and controlled.
Intelligent systems
AI is useful when the system around it is trustworthy.
Agentforce, enterprise agents, knowledge retrieval and AI-assisted workflows introduced into real operational processes with explicit control.
Governance, active by designGoverned intelligence
The agent is the last step, not the first.
Before an agent acts, the organisation needs trusted context, scoped permissions, clear ownership, monitoring and a defined point where human judgement remains necessary. Governance is the boundary around that lifecycle, not a box added at the end.
Knowledge retrieval & grounding
AI without trusted context is guesswork. Grounding depends on retrieval quality, data ownership, provenance and the permissions that determine what an agent is allowed to see.
AI-assisted workflows
LLMs and agents can sit inside existing processes where reasoning, classification, summarisation or controlled next-step assistance removes friction without removing necessary judgement.
Governance by design
Data access, agent identity, permissions, human oversight, evaluation, monitoring and maintainability are designed into the system rather than added after deployment.
We don't deploy an agent until we know what it can touch, who owns the outcome and what happens when it gets something wrong.
Production intelligence
Autonomy needs boundaries you can test.
The useful question is no longer whether an agent can act. It is whether its context, identity, permissions, evaluation and operational trace are strong enough to let it act safely.
Production design also means balancing response quality against latency, cost and reliability — because an intelligent system still has to operate predictably at real workload and scale.
Grounding & evaluation
Ground agents in governed enterprise data, then test behaviour with evaluation sets and regression checks before changes reach production.
Bounded autonomy
Define in advance what an agent may read, propose or change — and where approval, policy or a human decision must take over.
Agent identity & telemetry
Treat agents as accountable machine identities with least-privilege access and traceable tool calls, context retrieval, approvals and state changes.
Context interoperability
Design tool and context interfaces so emerging standards such as Model Context Protocol can be adopted without bypassing the organisation's existing permission model.