TOOLS · STATE · EXECUTION
Systems that do the work, not just describe it.
An agent is a loop with tools, state and a stopping condition. The interesting engineering is in the boring parts: idempotency, retries, permissions, cost ceilings, and knowing when to hand back to a person.
- Scoped
- Least-privilege tool access
- Idempotent
- Safe to retry, safe to resume
- Capped
- Hard limits on steps and spend
THE SHORT VERSION
Where automation actually pays
The work worth automating is usually high-volume, rule-shaped and currently done by copying between systems. The work worth leaving alone is low-volume, judgement-heavy and expensive to get wrong.
We look for the boundary between them and put the handoff there deliberately, rather than letting an agent discover it in production.
The difference is where the effort goes.
Agents as a demo
- An open-ended loop with no step limit and no budget
- Full credentials, because scoping them was fiddly
- Retries that duplicate side effects
- No record of what it did or why
Agents as infrastructure
- Bounded loops with explicit termination and spend ceilings
- Per-tool permissions, scoped to the smallest useful surface
- Idempotency keys so a retry is always safe
- A durable trace of every decision, tool call and result
WHAT IT INCLUDES
Scope, in plain terms.
Every engagement is shaped to the problem, but this is the ground it typically covers.
Task agents
Bounded agents that complete a defined job against real systems.
Workflow orchestration
Durable multi-step processes that survive restarts and partial failure.
Document & intake automation
Receive, classify, extract, validate and route — with exceptions to a human.
Tool & API integration
Typed, permissioned tool surfaces for models to act through safely.
Human-in-the-loop
Review queues and approval gates at the points where judgement is required.
Back-office automation
The repetitive copying between systems that consumes a working week.
What you get
- Process map with the automate / escalate boundary made explicit
- Orchestration service with durable state and replay
- Scoped tool definitions with per-tool permissions
- Review queue for exceptions and low-confidence outcomes
- Full execution trace, cost reporting and alerting
QUESTIONS
The things people ask first.
What stops an agent doing something destructive?
Tools are the only way it can act, and each tool is scoped, permissioned and — where the action is irreversible — gated behind an approval step.
How do you control cost?
Step limits, spend ceilings per run, model routing by task difficulty, and caching. Cost is a monitored metric with alerts, not a monthly surprise.
Do we need an agent, or just automation?
Often just automation. If the steps are known in advance, a deterministic workflow is cheaper, faster and easier to debug. We will tell you when that is the case.
Often paired with
- 03AI DevelopmentProduction-ready artificial intelligence systems built to solve practical business problems.
- 02Custom SoftwareBusiness-specific software designed around your workflows, data and operational needs.
- 08Cloud & Backend EngineeringScalable APIs, distributed systems and cloud infrastructure engineered for reliability.
Need ai agents & automation?
Tell us the problem and the constraint. We will tell you what it takes — and whether this is even the right service for it.