Governed AI deployed into email, document review, due diligence and reconciliation workflows. Without building an internal AI team.
We implement the workflow, configure the controls, and manage it on an ongoing subscription. Your team uses the outputs. We run the system.
SOC 2 compliantISO/IEC 42001 programme in progressUK data residency, EU AI processing
What we deploy
Every action logged. Every decision traceable. A person signs off before anything leaves.
A daily brief of the threads waiting on you, ranked by what is owed rather than what is newest. Each thread summarised with citations, the commitments in it extracted with the quote that proves them, and a reply drafted in your own writing style. Nothing is sent by Lynctera. You press Send.
How email intelligence worksExtraction, clause comparison, compliance review and redline support. Contract and due-diligence questionnaire review with every finding cited to the source page or clause.
How document review worksMatching, exception handling and rule-based diagnosis at volume, with people focused on the true judgement calls. Deterministic rules run first; AI handles what is left.
How reconciliation worksCompany background research and market-data enrichment with structured workflow controls, source enrichment and human approval before anything is published.
How due diligence worksMulti-step workflows with approval gates, versioned behaviour and a case file for every run, so any outcome can be reconstructed for review.
How process workflows workConsent-aware visitor tracking and engagement signals for regulated marketing teams, with data residency and retention controls built in.
How engagement analytics worksHow it works
This is not self-service software. We configure governed AI for your workflow, deploy it into operations, and manage performance, controls and updates over time.
Manual steps, volumes, review points and control requirements, written down before anything is built.
AI steps, rules, approvals and audit trails configured for your operating model. Adding a capability is configuration, not a software release.
Outputs monitored, performance tuned, controls maintained, and your team supported on an ongoing subscription.
Governance
For regulated teams, auditability and control cannot be retrofitted. They have to be part of how the workflow runs.
Full audit trailEvery AI action, tool action and approval step is logged and reviewable.
Tenant-level data isolationEach client's data lives in its own database with dedicated secrets management.
Versioned workflow behaviourWorkflow logic and AI configuration are versioned so outcomes can be reconstructed for review.
Rules and approvals before AIDeterministic rules and human gates constrain where AI is used.
Data residencyPlatform data in Microsoft Azure UK South. AI inference in Azure Sweden Central, inside the EU. Customer data is never used to train models.
Monitoring over timePerformance drift is tracked so controls remain reliable after deployment.
A workflow review takes an hour. You leave with the manual steps, volumes and control points written down, and a view on whether governed AI belongs there.