AI agents that choose the right tool for the job
An AI agent is software that uses a language model to carry out a multi-step task: not just answer a question, but take a goal, work through the steps, use your tools and data along the way, and get something done. Where an AI feature drafts a reply or pulls a figure from a document, an agent handles the whole job: read the enquiry, check the records, draft the response, and route it for approval.
Agents are the part of AI with the most hype and the most ways to go wrong. Left to their own devices they loop, they invent steps, and they optimise for the letter of the instruction rather than the point of it. We build the version that works in production: narrow, scoped to a real job, wrapped in an orchestration layer that controls what it is allowed to do, with a person in the loop wherever a mistake would cost something. An agent is a capable assistant on a short leash, not an autonomous employee.
What an agent can take on
The agents that earn their keep are the ones pointed at a specific, repeatable job. These are the shapes that work.
Triage and routing
Read incoming enquiries, tickets, or documents, work out what each one is and where it goes, and route it, flagging the ones that need a human.
Reconcile and check
Compare records across systems (invoices against orders, figures against a source of truth) and surface the mismatches for someone to approve.
Research and summarise
Gather information from your systems and the web, pull it together, and produce a briefed summary with its sources.
Draft and act, with approval
Prepare the reply, the order, or the update, and carry it out once a person has signed it off.
Built with guardrails, not hope
The difference between an agent that helps and one that causes an expensive mess is the engineering around the model, not the model itself. We do not let the AI decide what it is allowed to do. An explicit orchestration layer constrains every action, hard limits stop it running away, and a separate check verifies the output before anything happens for real.
A capable assistant on a short leash. The agent does the legwork; the orchestration around it decides what it is allowed to do, and a person approves what counts.
Connected to your systems
An agent is only useful if it can reach your data and your tools. We connect agents to your systems through the Model Context Protocol, the emerging standard for exactly this, so the agent works with your real records and existing software rather than a stale copy. The connection is scoped and permissioned: the agent sees and does only what you allow it to.
How it runs
We are ruthless about scope, because a narrow agent that does one job reliably beats a broad one that does many jobs badly.
Pick the job
One real, repetitive, multi-step task where an agent would genuinely help and a mistake is recoverable.
Map the steps and the limits
What the agent may do, what it must never do alone, and where a person signs off. The guardrails are designed before the agent is.
Build and connect
The agent, its orchestration layer, and the permissioned connections to your systems, tested against real cases.
Watch it work
We measure how often it is right, how often it escalates, and what it costs, and tighten it. Agents are supervised, not set loose.
Who it is for
An agent is the right tool when the work is multi-step, repeatable, and safe to supervise.
Where it fits
An agent is the step up from an AI feature: a feature answers or drafts, an agent carries out the whole task. Where automation handles the rules-based work, an agent handles the judgement-light work that rules alone cannot, so it sits close to business automation. If the data is sensitive, the agent can run on private, self-hosted AI so nothing leaves your infrastructure.
Talk to us about an agent
Tell us the multi-step job that is eating your team's time. We will give you an honest read on whether an agent would help and how to keep it safe. The first conversation is free, takes about thirty minutes, and comes with no obligation. Read more about what working with us looks like, or get in touch directly.
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