LLMs & AI Agents

Agentic systems with real tools, safeguards, and observability

Task orchestration, memory, tool permissions, and audits — so agents are reliable and safe.

Outcomes

  • Higher task success and reduced manual steps
  • Controlled tool-calling with permissions and rate limits
  • Traceability, replay, and cost controls per task
  • Fallback strategies and human-in-the-loop checkpoints

What we deliver

  • Agent graphs & planning strategies (single/multi-agent)
  • Tool adapters (APIs, databases, search, internal systems)
  • Memory & context strategy (vector, KV, session)
  • Safety policies, redaction, and audit logs
  • Evaluation harness and canary rollouts

FAQs

How do you keep agents from over-calling tools?

Policies and budgets per tool, rate limits, and explicit plans with step checks and guardrails.

What about secrets and permissions?

Short-lived credentials, scoped roles, vault integration, and audit trails; no secrets in prompts.

Scope an agent proof-of-concept →
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