AI Automation Services UK | OpenKit

AI automation

AI automation services for UK businesses

Manual processes cost your team hours. We replace them with AI that works inside your existing systems, not around them.

OpenKit builds AI automation systems that replace manual, repetitive workflows in regulated UK businesses. OpenKit is ISO 27001 and ISO 9001 certified, ensuring automated processes meet audit and compliance requirements. OpenKit develops custom automation using LLMs and AI agents that connect to your existing CRMs, ERPs, and document management systems.

What we automate

Six categories where AI replaces manual steps without replacing the people who oversee them.

Document classification & routing

Read inbound documents, identify type and urgency, route to the right team or system. We handle contracts, correspondence, claims, and applications in variable formats.

Invoice processing & accounts payable

Extract line items from PDFs, match against purchase orders, flag discrepancies for review. Works with scanned documents and variable formats that break traditional RPA.

Compliance checking & audit trails

Cross-reference records against regulatory requirements, flag gaps, and generate audit-ready reports. We reduce manual checking from days to minutes.

Customer enquiry triage

Classify inbound queries by intent and urgency, route to the right person, draft initial responses.

Report generation

Aggregate data from multiple sources, produce formatted reports, distribute to stakeholders on schedule.

Data extraction & validation

Pull structured data from unstructured sources, reconcile across systems, eliminate manual re-keying.

Compliance

Automation in regulated environments

Most automation tools are built for speed. In regulated sectors, every automated decision needs a trail, a boundary, and a way back.

Audit trails on every decision

Every automated action is logged with its input data, the rule or model that produced it, and a timestamp. Auditors can trace any output back to its source.

Role-based access controls

Not everyone should see everything an automation processes. We implement granular permissions so sensitive data stays visible only to authorised roles.

Data residency, UK-hosted, GDPR compliant

Financial, healthcare, and public sector data often cannot leave UK jurisdiction. We deploy automation within UK-hosted infrastructure and configure LLM providers accordingly.

Process

How it works

From audit to production in weeks, not months.

1

Assess

1-2 weeks

We map your current workflow end to end, identify where time is wasted, and calculate what automation would save. You get a scoping document, not a sales pitch.

2

Design

1-2 weeks

We define the data flow, integration points, confidence thresholds, and human escalation rules. The architecture is documented before a line of code is written.

3

Build

3-6 weeks

We develop iteratively with weekly demos. You see working automation within the first sprint, not a presentation deck at the halfway mark.

4

Deploy

1-2 weeks

We run the automation in shadow mode alongside your manual process, validate outputs, then cut over. Monitoring and rollback procedures are in place from day one.

Honest guidance

Automation vs AI agents

They solve different problems. Picking the wrong one wastes money.

AI automation

Repeatable workflows with known rules

Process follows a predictable path
Input formats are known (invoices, forms, emails)
Decisions map to clear criteria
High volume, low variation

Typical use: invoice processing, document triage, compliance checks, data extraction

AI agents

Multi-step reasoning across systems

Task requires planning and sequencing
Inputs are ambiguous or unstructured
Agent needs to query multiple data sources
Lower volume, higher complexity per task

Typical use: claims handling, customer onboarding, research synthesis

When to choose which

If your team follows a checklist, start with automation. If the task requires judgement calls across multiple systems, you need an agent. Most organisations begin with automation and add agents once the deterministic workflows are running.

Common questions about AI automation

Most repeatable, rules-based processes are candidates: invoice matching, document classification, compliance checking, data entry across systems, report generation, and customer query routing. If your team follows a checklist or decision tree, it can likely be automated.

Traditional RPA follows rigid scripts that break when layouts or formats change. AI automation uses language models that understand context, so it handles unstructured documents, variable formats, and edge cases that would fail a conventional bot.

A single-workflow automation typically starts from £15,000 for scoping, build, and integration. Ongoing costs depend on volume and the LLM provider. We scope every project individually — contact us for a detailed estimate based on your workflow.

A single workflow automation from audit to production typically takes 6-10 weeks. Complex multi-system integrations with compliance requirements take 3-5 months. We deliver working software incrementally, not a big-bang launch.

Yes. We integrate with CRMs (Salesforce, HubSpot), ERPs (SAP, Oracle, NetSuite), document management systems (SharePoint, Google Workspace), and custom internal tools via APIs. If your system has an API or export function, we can connect to it.

Every automated decision includes a full audit trail: what data went in, what decision was made, and why. We build role-based access controls, data residency rules, and documented rollback procedures. Our development process is ISO 27001 and ISO 9001 certified.

No. Automation removes the repetitive steps from your team's day — the copy-pasting, the manual checks, the data re-entry. Your people keep doing the work that requires judgement, relationships, and context. Most clients redeploy freed capacity rather than reduce headcount.

We build confidence thresholds into every automation. When the system is uncertain, it flags the item for human review rather than guessing. You set the threshold. Every decision is logged, so mistakes are traceable and correctable.

Stop doing it manually

Tell us which workflow is eating your team's time. We will tell you whether automation makes sense and what it would cost.

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