Enterprise AI agents
AI agents designed for bounded enterprise work
StrategIA designs and deploys agents that assemble authorized context, reason within explicit limits, use enterprise tools, and escalate to people when confidence, policy, or operational risk requires it.
An agent is not a chatbot
A chatbot primarily produces a response. An enterprise agent may retrieve governed context, plan steps, call tools, update systems, and coordinate work. That additional agency requires stronger permissions, evaluations, and operational controls.
Where agents can help
Strong early uses are bounded, observable, reversible, and connected to a clear owner. Examples include knowledge work, document review, case preparation, exception analysis, and recommendation support.
When not to use an agent
Avoid agents for fully deterministic work better served by APIs or workflow, decisions with no measurable quality criteria, unrestricted high-impact actions, missing source authority, or processes without an accountable owner.
Production architecture
The architecture should separate instructions, context retrieval, memory, tools, identity, permissions, policy, evaluation, logs, escalation, and human approval. Model choice is only one layer.
Evaluation and controls
Test task success, evidence use, policy compliance, tool selection, refusal, escalation, latency, cost, and recovery from tool failure. Production monitoring must detect drift and preserve an auditable record.
Deployment sequence
Start with a narrow role, offline evaluation set, limited tools, and supervised operation. Expand authority only when evidence supports the next boundary and operational ownership is ready.
Decision workshop