Agent Engineering
Agents that do the work inside your systems, not beside them.
A chat window answers questions. A production agent retrieves context, uses your tools, updates your systems, and hands people the decisions that need judgment. We engineer agents with the guardrails, escalation, and oversight that make that safe.
Part of
02Engineer
Turn possibility into production.
Agent & workflow engineering
Where this sits in the lifecycle
The problem
Most agent projects stall at the same point: nobody designed for the moment the agent is wrong. No fallback, no monitoring, no way for a person to step in.
- Assistants that can answer but can’t act
- No plan for when the agent gets it wrong
- Automations that break the first time an input changes
- No record of what the agent actually did
How we work
Four steps. One team the whole way.
- 01
Design the boundaries
What the agent reads, what it may change, where it must stop and ask, and how every step is logged.
- 02
Connect it to the work
Tools, APIs, and systems of record wired in under the user’s own permissions.
- 03
Keep people in the loop
Escalation, approval, and override paths for the decisions that need judgment.
- 04
Prove it before launch
Evaluations on your own cases, output validation, and monitoring in place before anything goes live.
What’s included
What agent engineering covers. In practice.
Task-oriented agents
Clear goals, tool access, and decision rules built for your domain and workflows.
Multi-agent orchestration
Specialized agents that delegate and hand off, instead of one agent doing everything badly.
Human-in-the-loop
Approval, escalation, and override patterns, so people own the decisions that matter.
Tool use & context
Agents wired into your APIs, databases, and internal tools, with the context to use them well.
Guardrails & observability
Output validation, monitoring, and fail-safes, so behavior stays predictable in production.
Testing & evaluation
Evaluation suites for accuracy and edge cases, before and after every release.
What you can hold us to
Commitments. Not marketing ranges.
What every agent we ship commits to.
- logged
- Every step
- logged
- Inputs, tool calls, and outputs recorded and traceable
- on the exceptions
- Human
- on the exceptions
- Defined escalation and override paths for the calls that need judgment
- before launch
- Evaluated
- before launch
- Tested on your own cases, not a public benchmark
Go deeper
More under Engineer, and beyond.
- EngineerTurn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.
- Agent Knowledge LayerAI is only as good as what it knows about your business.
- AI-Enabled Custom DevelopmentCustom software, built faster, and billed that way.
- Agent StrategyKnow which workflows AI should take on first, before you fund the build.
- Forward-deployed engineersHowever you start, our engineers embed with your team: your Slack, your repo, your standups.
Bring us the workflow. We’ll bring the engineers.
Pick the process your team runs by hand most often. We’ll show you what an agent can take end to end, where a person stays in the loop, and what production requires.