Make AI agents reliable enough for production.
Specialist consultancy for AI agents, LLM workflows, copilots, RAG systems, SQL/data agents, and autonomous tools that need to be observable, testable, controllable, and safe to operate.
From impressive demos to dependable systems.
AI demos are easy. Dependable production agents are hard.
Once real users, real data, and real business processes are involved, teams run into problems that better prompting alone cannot solve.
- Hallucinated answers
- Brittle tool calls
- Unreliable retrieval
- Weak evaluation coverage
- Invisible failure modes
- Poor monitoring and tracing
- Unclear human escalation paths
- Governance that is too vague or too slow
Find the failure modes, measure them, and engineer them down.
Evaluation
Design evals, regression tests, and release criteria so teams know whether an agent is improving or getting worse.
Observability
Trace prompts, retrieval, tool calls, outputs, errors, feedback, and escalation paths so failures can be understood and fixed.
Hallucination reduction
Reduce incorrect outputs through grounding, validation, constraints, eval coverage, retrieval improvements, and workflow design.
Retrieval quality
Improve RAG and vector retrieval so agents find the right context, entities, documents, and business concepts.
Tool safety
Make tool use dependable with validation, permissions, guardrails, confirmation steps, and safe failure modes.
Production readiness
Prepare systems for launch with monitoring, incident playbooks, ownership models, human-in-the-loop controls, and metrics.
Practical help for teams moving from prototype to production.
Agent Reliability Audit
A focused review of an existing agent, LLM workflow, RAG system, or copilot covering risks, eval gaps, observability gaps, and high-impact fixes.
Production Readiness Sprint
A short hands-on engagement to harden an agentic system before launch or wider rollout.
Agentic System Architecture
Design support for agents that use tools, data, APIs, SQL, RAG, or multi-step workflows.
AI Reliability Advisory
Independent guidance for leaders making decisions about AI strategy, vendors, delivery risk, operating models, and production readiness.
If your AI agent works in demos but feels too brittle for production, let’s talk.
Agent Reliability Engineering helps teams make AI agents, LLM workflows, RAG systems, and data agents observable, testable, controllable, and safer to operate.
Contact Drew