Document extraction
Invoices, delivery notes, policy documents and forms read into structured records, with confidence scoring and a review queue for anything below threshold.
Service
AI integration for UK businesses.
We deliver AI as part of the business system, not alongside it. Every engagement begins with a measurable objective, an evaluation method and a decision on whether AI is the appropriate technology at all.
Where it earns its place
Classification and routing
Incoming email, tickets and claims categorised, prioritised and assigned to the correct team automatically, with the rules and thresholds under your control.
Internal assistants
Retrieval over your own documents and records, answering with citations and respecting the same permissions as the underlying system.
Forecasting and anomaly detection
Demand, workload and cost projections from your operational history, and flags on transactions that fall outside the established pattern.
Our platform
iAureo Agents Platform
Our own platform for running AI agents inside a business system. Agents are defined once, given explicit tools and permissions, and executed against your data with every step recorded. Built on .NET 10 with configurable AI providers, persistent workflows and Linux/Docker deployment.
- Agents with typed tools, not free-form scripts
- Retrieval scoped to the user's own permissions
- Human approval for high-risk actions
- Full trace of prompts, sources and decisions
Output that can be relied upon
An AI feature is only useful if its behaviour is measurable and its limits are understood. We define both before it reaches production.
Evaluation set
A labelled sample of your real cases, scored before and after every model change.
Human review threshold
Low-confidence output is routed to a person rather than acted upon automatically.
Data residency
Deployed within your Azure tenancy, in the region your obligations require.
Audit trail
Every prompt, source and decision recorded and available for inspection.
Discuss AI integration with a UK software company
Worktechlabs is based in Arundel, West Sussex. Bring one document, knowledge-search or approval workflow and describe the outcome you need. We review the available data, access permissions, evaluation examples and ongoing costs before deciding what to build.
Compare building and buying an AI feature for your business.
From a business question to a supported feature
We start by defining the decision or task, the information it needs and the person responsible for checking the result. A useful first version has a narrow scope: one document type, one knowledge source or one clearly bounded workflow.
Evaluation uses representative examples, including incomplete inputs and difficult exceptions. Before connecting a model to live business systems, we agree how uncertainty is shown, which actions require approval and how failures reach the support team.
The implementation needs the same ownership as any business application: access controls, operational logs, cost visibility and a plan for changes to models or source data. The appropriate design depends on the workflow and the risk of a wrong answer.
Building or buying an AI feature · Adding AI to an existing system · System integration