Agentic AI Architecture and Controls
Move from fragile agent demos to controlled autonomy in production. We design governed tool access, identity-scoped execution, managed memory, runtime budgets, and approval boundaries - so agents operate safely in real workflows with audit-ready traceability.
- Governed tools: registry, contracts, permissions, and escalation
- Bounded autonomy: budgets, approvals, and traceability by default
- Model-agnostic and designed for regulated environments
The Challenge
Agentic systems fail in predictable ways: tools are over-permissioned, memory becomes an ungoverned state store, and prompt injection or retrieval attacks turn autonomy into unintended actions.
Teams often focus on orchestration frameworks while under-investing in the contracts, permissions, and evidence needed for production operations and assurance.
Our Approach
We design an agent architecture that is controllable end-to-end: tool registry and contracts, identity and permission-scoped execution, memory policy, runtime budgets, approvals, and observability.
The outcome is a blueprint your teams and vendors can implement with clear safety boundaries, measurable quality targets, and an operating path for Day-2 reliability and governance.
Key Outcomes
Core Deliverables
Agent Architecture Blueprint
End-to-end design covering orchestration, tool use, memory, identity, and operating controls - documented as implementable system contracts.
- Agent boundaries: what the system can and cannot do
- Decision records: trade-offs, assumptions, and failure modes
Industrial / Manufacturing
The Context
Designed governed tool access and approval boundaries for an internal engineering assistant operating on sensitive systems.
The Outcome
Result: Safe agent autonomy with traceable actions, controlled permissions, and measurable quality gates.