Automation with guardrails.
We apply AI where it removes real, verifiable work — documents, workflows, reporting, reconciliation — and we decline it where it doesn't. Every automated step is logged, reversible and accountable to a named human. No demos that collapse in production. No hype.
Narrow problems. Measurable outcomes.
We automate work that is high-volume, rule-bound and expensive to do by hand — and leave judgement where it belongs: with your people.
Document intelligence
Contracts, KYC files and account statements read, classified and extracted into structured data your systems can act on — with confidence scores and a review queue for anything ambiguous.
Workflow agents
Agents that carry work between systems — mailbox to task queue, CRM to invoicing, portal to back office — with every hop logged and every action attributable.
Reporting generation
Client reports, mandate summaries and internal packs assembled from live data on schedule — drafted by the system, reviewed by a person before they leave the building.
Reconciliation & exception handling
Automated matching across statements, ledgers and positions. The routine volume clears itself; only genuine exceptions ever reach a human desk.
Research assistance
Summarisation, screening and document triage that compresses the reading, not the thinking — analysts move faster while conclusions stay theirs.
What we don't automate
Investment decisions, client relationships and final sign-off stay with people. Where a task needs judgement, we build tools that sharpen it — not systems that pretend to replace it.
Rules we don't negotiate.
Guardrails are architecture, not a policy document. Before any model touches production, these hold — in the contract and in the code.
Built so you can answer for it later.
Regulated capital cannot run on systems nobody can explain. Every automation we ship is designed to be interrogated — by your compliance function, your auditors or your own engineers — months after the fact.
- Human accountability preserved. Every automated action has a named owner. Nothing signs, sends or settles without a person in the chain of responsibility.
- Deterministic fallbacks. When a model is uncertain or unavailable, the workflow degrades to a defined, rule-based path — never to a guess.
- Full audit logs. Every input, output and decision is recorded and replayable, so "why did the system do that?" always has an answer.
- Evaluated before and after deployment. Models are benchmarked against your data before go-live and monitored for drift and degradation once running.
- No data leaves your perimeter without consent. Nothing reaches a third-party model or leaves your infrastructure without explicit, documented approval.
Automation that lives where you work.
We don't sell a separate "AI tool". Automation ships inside the Stratus Suite and inside the custom platforms we engineer — same login, same data model, same audit trail.
Inside the Stratus Suite
Automation is already at work across the nine modules — the smart inbox and postmaster in Mail, real-time alerting in Signal Manager, bank reconciliation in Invoicing, audit-trailed signature flows in e-Sign, client reporting in CRM Core. One data model means one set of controls.
Explore the Suite → 02Inside your own platform
For the systems we build from scratch, the automation layer is engineered in from day one — document pipelines, workflow agents and reporting engines that inherit your permissions, your monitoring and your controls, rather than bolting on beside them.
Custom engineering →Automate the work. Keep the judgement.
Bring us one process — a reporting pack, a reconciliation, a document queue. We'll scope what automation can honestly deliver, and tell you plainly where it can't.