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AI automation, UK
An AI automation agency UK teams can trust, with the approval step built in
We are an AI automation agency UK businesses use to build workflows that act on the routine and stop to ask a person before anything that matters.
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AI handles0
A person decides0
AI-using UK firms that use agentic AI0%The least adopted AI technology in the DSIT survey.
Source: Department for Science, Innovation and Technology, 28 January 2026 ↗Firms facing significant barriers with agentic AI0%The highest of any AI type surveyed.
Source: Department for Science, Innovation and Technology, 28 January 2026 ↗Where the line sits
Automation that acts, and automation that asks
Most automation fails in one of two ways.
Either it asks a human about everything, so nobody saves any time.
Or it acts on everything, so one bad input becomes a hundred bad outcomes.
As an AI automation agency UK firms can audit, we design the middle path: clear rules for what runs alone and approval gates for what does not.
That is what AI automation services should look like for a UK business with customers, suppliers and regulators to answer to.
What the automation does alone
- Moves data between systems you already use
- Reads emails, forms and attachments into structured fields
- Sends templated chasers and confirmations
- Reconciles records against rules you set
- Compiles routine reports and dashboards
Where it stops and asks
- Payments, refunds and credits above a threshold
- Any change to bank details or supplier records
- Decisions with legal or similarly significant effects on people
- Exceptions the rules do not cover
- Anything sent to a customer that commits the business
Approval gates
How our AI automation agency UK team decides what runs alone
Every step in a workflow gets a simple test: is it reversible, is it rule-based, and who is affected if it goes wrong?
Reversible, rule-based, internal steps usually run automatically with sample checks.
Steps that move money, commit the business or affect a person’s rights get an approval gate.
The gate shows the reviewer what the AI proposes, why, and what it is unsure about.
The reviewer approves, edits or rejects, and the decision is logged.
Over time, the log shows which gates can safely loosen and which should stay.
For an independent check of those gates, see our AI assurance work.
- Confidence thresholds that route uncertain items to a person
- Value limits for payments, credits and refunds
- Hard stops for changes to bank details and permissions
- A full log of proposals, approvals and overrides
85%
AI acts alone
130
65% of 200 cases
Goes to a person
70
35% of 200 cases
Illustrative batch with a typical confidence spread. Your real split comes from a pilot on your own work. Some decisions go to a person whatever the score.
Agents with limits
AI agents, on a short and visible lead
Agentic AI can take actions, not just produce text, which raises the stakes.
The government’s adoption research found agentic AI is where firms are most likely to hit significant barriers.
As an AI automation agency UK clients rely on, we give agents narrow permissions, clear tasks and a human checkpoint before any external action.
We follow the NCSC’s guidelines for secure AI system development across design, deployment and operation.
Every agent we build can be paused by a named person without a developer on hand.
AI drafts
Check
Person decides
Learns
01 / 04
The law
When the law expects a human to step in
UK GDPR sets extra rules for solely automated decisions with legal or similarly significant effects on people.
In those cases the ICO expects simple ways for people to request human intervention or challenge a decision.
Screening out a job applicant or refusing a service request can fall into that category.
We design those workflows so a trained person makes or reviews the decision, not just the machine.
If you serve the EU market, Article 14 of the EU AI Act sets human oversight duties for high-risk AI systems.
For hiring workflows specifically, see our page on AI for recruitment.
UK GDPR sets extra rules for solely automated decisions with legal or similarly significant effects on people.
How it works
Four steps, one owner
Each system ships with a named person accountable for what it does.
01
01
Map the workflow
We trace each step, system and hand-off, and mark where the risk sits.
02
02
Set the gates
We agree thresholds, hard stops and who approves each type of exception.
03
03
Run in shadow
The automation runs alongside your team first, so you can compare its choices with theirs.
04
04
Go live and tune
We switch on in stages and use the approval log to tune thresholds.
Questions
Asked and answered
Further reading
From the source
Information Commissioner’s OfficeRights related to automated decision-making including profiling ↗When UK GDPR requires a human to be able to step in.European Commission AI Act Service DeskEU AI Act, Article 14: Human oversight ↗High-risk AI must let people monitor, override and stop it.National Cyber Security CentreGuidelines for secure AI system development ↗Department for Science, Innovation and Technology, 28 January 2026AI Adoption Research ↗Survey of 3,500 UK firms on AI use, barriers, readiness and human oversight.Information Commissioner’s OfficeHow do we ensure individual rights in our AI systems? ↗Why a rubber-stamp review is not meaningful human oversight.
Keep reading
Related pages
ConsultancyAI consultancy UK →An AI consultancy UK firms can trust, with a person still in chargeConsultancyAI implementation consultant →An AI implementation consultant for getting past the pilotSectorsAI for recruitment →AI for recruitment, with a recruiter behind every noGovernanceAI assurance →AI assurance, with evidence a person can stand behind
Next step
Tell us the work. We’ll show you where the line goes.
A 30-minute call. We map one workflow, what the AI could take, and where a person must stay in the loop.