AI Agent Development.
Task-completing agents, safely bounded.
Agents that do work — with the right things they cannot do, written into the code, not the policy.
What it is
An agent that can do anything will, eventually. We build ones that can only do the right things.
AI Agent Development is about building autonomous or semi-autonomous systems that complete real work — booking, drafting, routing, resolving — inside a bounded action space.
The design work isn't "give it more tools." It's the opposite: what CAN'T this agent do, and how do we make that a compile-time property, not a prompt-time hope?
Every agent we ship has a tool schema, a permission model, a rollback story, and a human gate on anything irreversible. That's the whole point — the speed only matters if the boundaries hold.
What you get
6 concrete things, on the SOW.
Every deliverable is written into the statement of work — priced, dated, and signed off by a named engineer at the relevant gate.
- 01Production agent with typed tool interface
- 02Permission model & role-scoped action space
- 03Human-in-the-loop for irreversible actions
- 04Full trace log & replay tooling
- 05Cost / rate / quota controls per session
- 06Evaluation harness with adversarial prompts
Where this shows up
Three shapes of engagement.
Different problems, same method. These are the concrete work shapes we typically deliver under AI Agent Development.
Inbox & workflow triage
Route, tag, draft, or escalate — with a human sign-off on send.
Ops automation
Diagnose incidents, propose remediation, execute only after a human approves.
Onboarding & support
Guided flows that adapt to the user's answers, but never off-rails.
The stack
Capabilities, not vendors.
The requirement picks the tool, not the other way round. Naming vendors up front would set the wrong ceiling on what we take on.
- Tool interfaces
- Permission models
- Human-in-the-loop
- Trace & replay
- Adversarial eval
How it runs
Seven stages. One signature at a time.
Every AI Agent Development engagement runs through the same seven-gate Aivora Delivery Engine — each stage run by specialised agents, each ending at a gate a senior engineer must sign.
Frequently asked
Questions people ask before booking.
How do you stop the agent from doing something stupid?
The tool interface is typed and permission-scoped. The agent literally cannot call an action it hasn't been authorised for. Irreversible actions have a mandatory human confirm before dispatch.
Can we see what the agent did?
Yes — every step, prompt, tool call, and response is traced and replayable. You can time-travel through any session.
What happens when the agent gets stuck?
A configurable escalation path. Default: the session halts and pings a named human queue, with the full trace attached.
Ready when you are
Bring us the hard bit.
Ninety-minute kickoff. Five-day audit. Fixed quote for AI Agent Development — in writing, before we build.