For UK businesses, on our own servers in UK or EU data centres

Agentic workflows for UK businesses

We map your process, hand each step to an AI agent with the tools it needs and put a person wherever a decision matters. The agents do the work. The decisions stay with you.

Let’s talk about AI in your business See how we build them

Your process, drawn as a graph
Steps and the arrows between them, the way you would sketch the process on the office whiteboard.
A person approves
The workflow stops at the agreed point and waits for your yes before a quote, a payment or a change in a system goes ahead.
Your data stays with us
The agents run on our own servers in UK or EU data centres. Each company’s data sits in its own separate vault.

What is an agentic workflow?

An agentic workflow is a business process in which AI agents carry out the steps. They read what comes in, look up the data they need, prepare a reply or a document and pass the result on. People set the rules and approve the steps that matter.

A chat window answers a question. An agentic workflow finishes a job: from the customer’s email to a ready quote waiting for your approval.

Several narrow agents work better than one that tries to do everything. One reads invoices, another watches enquiries, a third prepares quotes. Each has its own tools and its own limits, and the workflow connects them.

A wireframe figure of blue triangles reaching forward

Agentic workflows vs AI agents

An AI agent

A program that carries out one task from start to finish and reaches for the data and tools it needs by itself. For example, it turns a scanned invoice into a row in a table.

AI agents for business
An agentic workflow

A whole business process made of several agents and the people who approve their work. For example, an enquiry arrives, one agent reads it, another prepares the quote, a person approves and the quote goes out.

Examples of agentic workflows in a business

Requests for quotes

An enquiry lands in the mailbox. An agent works out what it is about, reaches for the price list and the customer’s history and prepares the quote. An unusual case goes straight to a person, and a person approves before anything is sent.
Replies out of hours

A customer writes at 9 pm. The agent answers straight away, asks for the details and suggests a time. In the morning you have a ready list of matters to deal with.
Invoices from attachments

The agent takes invoices out of email attachments and enters the amounts, dates and numbers into a spreadsheet or your software. No retyping, and fewer mistakes.
New customers

Every day the agent goes through businesses in your trade and your area, weeds out the poor matches and adds the good ones to a list. Your salesperson makes calls instead of searching.
Company knowledge

Contracts, price lists, procedures and old emails. You ask in plain English, for example what discount a customer got in March, and get the answer together with its source.
A guard on the mailbox

Every incoming message is checked, and you get a warning when someone is impersonating a bank, a supplier or the managing director.

How we build an agentic workflow

We start small, with one task, and measure the result before the workflow takes on more.

A conversation and a process mapWe sit down with the person who does the work today and draw the steps, the exceptions and the points where a person decides.
One task to start withWe pick something repetitive and measurable: the number of cases, the response time or the number of errors.
Agents with tools and limitsEach agent gets access only to what it needs, such as a mailbox, a price list, a calendar or the sales system. A person approves the important steps.
A probation period on real dataWe count how many cases the agents handled well and improve them using examples.
Further tasksThey go faster, because the agents already know the business.

We build on open-source tools from the LangChain family, above all LangGraph, which describes an agent’s work as a graph of steps. Read how we tailor agents to a business.

What an agentic workflow gives your business

A person in the loopThe workflow stops at the agreed point and waits for your yes.
Memory and resumingThe state of the work is saved after every step. After a break or a failure, it picks up where it left off.
A full trailEvery step, every tool used and every cost is recorded. You know what the agent did and why.
A replaceable modelThe same workflow can run on a large cloud model or on a model in our own UK or EU data centre. How sensitive the data is decides which.
Open-source softwareA workflow built for you is not tied to a single AI vendor.
Your data in its own vaultEach company’s data is kept apart from every other company’s, on our own servers.

Questions about agentic workflows

What is the difference between an agentic workflow and an AI agent?

An AI agent carries out one task from start to finish. An agentic workflow connects several agents, and the people who approve their work, into one business process.

Do the agents make decisions on their own?

No. AI does not decide for you; it prepares. Important actions, such as sending an email or a quote, are proposed by an agent and go ahead only when a person says yes.

Where does our data go?

The agents run on our own servers in UK or EU data centres, and each company’s data sits in its own separate vault. Whether a task may use a large cloud model depends on how sensitive the data is, and you know that in advance.

Where should we start?

With one repetitive task that you can measure. Ask yourself what you still do by hand even though you do not have to. That is usually the first workflow.

What do you build agentic workflows with?

Open-source tools from the LangChain family, above all LangGraph. A workflow built for you is not tied to a single AI vendor.

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