Issue Sweeper
Deduplicate issues, identify clusters, and surface old work closed by later fixes.
UK-first AI workflow implementation
Lean teams. Governed AI workflows. Evidence you can trust.
We help teams move from ad-hoc AI usage to operated workflows: issue triage, code review, security checks, evidence packs, and human approval gates.
The operating principle
AI suggests. Code verifies. Humans approve.
AI Enablement Labs designs workflow systems for teams that want real leverage without turning unchecked model output into business process. The work is built around source-bound evidence, deterministic checks, approval gates, and audit trails.
Prototype lanes
From AI assistance to continuous AI operations
PR Review Swarm
Run focused review passes for correctness, security, regression risk, and test gaps.
Security Lane
Review commits and feature slices for auth, secrets, injection, dependency, and data risks.
Evidence Packs
Attach logs, screenshots, test results, decisions, and review notes to the work being approved.
How we build
Small enough to ship. Strict enough to trust.
The first target is a working prototype, not a theatre production. We start with one business process, define the evidence trail, wire in the checks, and keep human approval where judgement or risk requires it.
- Map the workflow Inputs, decisions, systems, risks, and approval points.
- Build the operating loop Agents, scripts, reviews, and deterministic validation.
- Prove it with artefacts Every run leaves evidence that a human can inspect.
Built for practical UK adoption
- Private prototypes before production exposure
- No real customer PII in early workflow testing
- Human review before external action
- Security and reliability treated as product features
Contact
Bring a workflow worth fixing.
Use this for AI workflow design, developer enablement, review automation, security-aware adoption, or a first prototype conversation.
Prefer email? Use sales@aielabs.co.uk.