AI & Data Solutions

AI Agents & Workflow Automation

Software that reads incoming work, works out what it is and does the routine parts. People deal with the rest.

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In plain terms

An AI agent is software that does a routine job from start to finish. For example, when a supplier emails to say a delivery will be late, the agent reads the message, finds the order, updates the expected date in your system, warns the customers waiting on it and tells your buyer only if a promised date is at risk. Anything it is unsure about goes to a person.

Does this sound familiar?

  • Enquiries arrive by email, web form and phone, and somebody sorts them every morning
  • Rule-based automation falls over the first time a customer words something differently
  • Approvals stall because the approver has to chase for the missing details
  • A pilot worked in the demo, but nobody trusts it with real customers

A typical scenario

A 40-person distribution company

Before

Two people in sales admin spend the first hour of every day reading the shared mailbox. They work out whether each message is a quote request, an order change, a complaint or spam, look the customer up in the order system and forward it to the right person. Urgent ones are sometimes found too late.

After

Messages are read as they arrive. Each is tagged, matched to the customer and their open orders, and passed to the right person with a one-line summary and a draft reply. Complaints and anything unclear are flagged for a person first. The admins check drafts instead of sorting mail.

How we deliver it

From first call to running

  1. 1

    Pick the job

    We watch the process for a few days and choose one narrow task with a clear start and finish.

    You get: A one-page description of the job, the rules and what "correct" looks like

  2. 2

    Prototype on real examples

    We run the agent over a few hundred past messages and compare its choices with what your staff did.

    You get: A scorecard showing how often it agrees with your people, and where it does not

  3. 3

    Run it alongside your team

    For a few weeks it works in suggestion mode. Staff see its drafts and approve or reject them.

    You get: Live results and a list of changes to rules and wording

  4. 4

    Hand over some control

    Once the numbers justify it, the simplest cases can go automatically. Everything else stays with people.

    You get: A switch-on plan, the activity log and a supervisor screen

  5. 5

    Look after it

    We watch accuracy and cost each month and adjust as your business changes.

    You get: A short monthly report

What we need from you

  • Access to the mailbox and systems it will read, usually read-only at first
  • A few hundred examples of past work and how each was handled
  • One person who knows the process and can answer questions
  • A decision on what it must never do on its own

Where it works best

  • A high volume of similar messages or requests
  • Clear rules, with exceptions a person can spot
  • Steps that already happen in systems we can connect to

Worth sorting out first

  • Tasks that happen rarely: begin with the ones that repeat every day, where the time saved pays back quickly
  • Decisions with serious consequences: keep a person at the approval step, so the agent prepares and they decide
  • Processes that are not written down yet: a short session to agree the steps comes first, then the agent follows them

How we work with you

Usually a fixed-price pilot of a few weeks on one process, then a monthly support fee once it is live.

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Typical technology

  • LLM APIs
  • Semantic Kernel
  • LangChain
  • Model Context Protocol
  • .NET
  • Python
  • Azure

Questions

Can it email customers without anyone checking first?

It can, if you want that. Most people start with drafts that a person approves, then relax the rules for the simple cases once they have seen how it behaves. Anything you rule out stays ruled out.

What if it gets something wrong?

It will sometimes. That is why a person approves everything at first, and why every action is logged. If a mistake gets through, you can see exactly what it did, and we change the rule so it cannot happen the same way again.

Which of our systems can it connect to?

Anything with an API, a database we can read, or a mailbox. For older systems with none of those, we can sometimes work through files or put a small API in front of them.

What does it cost to run?

Model usage is usually small compared with the staff time saved, but it depends on volume and which model you choose. We estimate it on your real numbers during the pilot.

Ready to talk?

Whether it is an AI idea, a project, extra people or a course, tell us what you are after and we will tell you honestly how we could help.

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