AI agents
AI agents for the repetitive work in your business
Workflow automation, document processing and lead pipelines that run themselves.
- Commitment
- Paid discovery, then fixed scope
What’s included
- Discovery and process mapping
- Agent design and guardrails
- Document processing
- Workflow and pipeline automation
- Human review where it matters
- Logging and oversight
Begins with a paid discovery phase that produces a written scope and a fixed quote.
Overview
Automation aimed at the work people should not be doing
Agents that handle the repetitive, rules-shaped work — reading documents, routing and qualifying leads, moving information between systems — with a person kept in the loop where judgement matters.
Every business has work that is necessary, repetitive and slightly too unstructured to automate with a simple rule. Reading an invoice and typing it into the accounting system. Reading an enquiry and deciding who should handle it. Pulling the same three fields out of a PDF, every time, forever.
That is the shape of work AI agents are genuinely good at. Not replacing the people who do the judgement work — removing the transcription and triage that sits around it.
We build agents against a specific process, with clear boundaries on what they decide alone and what they escalate to a person. Scoped narrowly, reviewed against real examples from your business, and instrumented so you can see what they did and why.
Best fit for
- Teams doing high-volume manual data entry from documents
- Businesses where enquiries wait on a person to triage them
- Operations copying the same information between systems daily
- Anyone who wants automation with a person kept in the loop
What you end up with
- Repetitive transcription handled without a person doing it
- Enquiries routed and qualified as they arrive
- Clear boundaries on what runs automatically and what escalates
- A visible record of what the agent did and why
- A process that can be adjusted as the business changes
What it solves
The problems this is built for
If several of these describe your week, this is the conversation to have.
- Information retyped by hand from PDFs, invoices or forms
- Enquiries sitting unread because triage is nobody’s job
- The same three fields copied between two systems all day
- Documents that need reading and classifying before anything can happen
- Leads that go cold while waiting for a person to qualify them
- Routine questions answered from the same information every time
What is included
Everything in AI agents
No line items held back for an upsell conversation later.
Discovery and process mapping
We identify which steps are genuinely automatable, which are not, and where a person has to stay in the loop. Written down before anything is built.
Agent design and guardrails
What the agent can decide on its own, what it must escalate, and what it is never allowed to do. Boundaries are part of the design, not an afterthought.
Document processing
Extraction and classification from the formats you actually receive — PDFs, scans, email attachments — validated against real examples from your business.
Workflow and pipeline automation
Enquiries routed, records created, follow-ups triggered and information moved between the systems you already run.
Human review where it matters
Confidence thresholds and review queues, so uncertain cases reach a person instead of being decided quietly and wrongly.
Logging and oversight
A record of what the agent did, what it based the decision on, and where it escalated — so the system can be checked rather than trusted blindly.
How it works
The AI agents process
Four steps, clear handoffs, and a firm answer whenever you ask where things stand.
- 01
Discovery call
The process you want handled, and what it costs you now. We are direct about which parts are a good fit for an agent and which are not.
- 02
Paid discovery phase
The workflow mapped, real examples collected, guardrails and escalation rules agreed, and a written scope with a fixed quote.
- 03
Build and evaluate
The agent built and tested against your own examples, with the failure cases reviewed alongside you rather than reported as a score.
- 04
Launch with oversight
Rolled out with review queues and logging in place, so the first weeks are supervised rather than assumed correct.
How software engagements start
Every software project begins with a paid discovery phase
An accurate quote for custom software is impossible without understanding the workflow first, and a free estimate is a guess that gets corrected later at your expense. Discovery maps the process, agrees what is in and out of scope, and produces a written specification with a fixed quote to build it.
- The scope document is yours whether or not we do the build
- The build is quoted at a fixed price against that scope
- You own the code, the data and the infrastructure on completion
FAQ
AI Agents questions
What owners ask us before they commit.
What kind of work is actually a good fit for an agent?
What happens when the agent gets something wrong?
Where does our data go?
Do we need AI, or would ordinary automation do?
Works well with
Related services
They are designed to stack. Each one still stands on its own.
Web Applications
Custom internal tools, operational dashboards and client-facing portals - built around your process instead of forcing it into someone else’s product.
Explore web applicationsSoftware Solutions
Bespoke systems for businesses whose requirements do not match anything on the market, and who have stopped trying to bend their process to fit.
Explore software solutionsFree quote, no obligation
Ready for a website that pulls its weight?
Tell us about your business and we will send a fixed price in writing within two business days. If we are not the right fit, we will say so and point you somewhere better.
Start here
Four fields. We will follow up with the rest.