Regulated Environments
Deploying AI you can defend in an audit, through technology built for scrutiny
Overview
A demo answers a question. An audit asks how you got the answer
In finance and healthcare the hard part is not making the model useful, it is proving afterwards that it behaved. We build bounded workflows with explicit escalation paths, log every automated decision with its inputs and its output, and design access control and tenant isolation in from the first commit rather than the week before the exam.
What we hear
- Automated decisions nobody can explain after the fact
- PHI and financial records touching systems that cannot prove handling
- Model behaviour that drifts between one release and the next
- Risk and compliance finding out about a tool after it shipped
- of automated decisions logged
- 100%
- unreviewed paths on sensitive workflows
- 0
- grade handling designed in, not retrofitted
- HIPAA
What is included
What this line covers
Our AI Compliance Solutions are built for industries where mistakes aren't an option combining controlled AI workflows, human escalation, and compliance-aware architecture to keep Financial Services and Healthcare businesses confident in every automated decision.
Bounded AI Workflows
Behaviour scoped to what the process permits, with the model constrained to approved sources and actions. Anything outside the boundary stops and asks rather than improvising.
Human Escalation Paths
Sensitive decisions routed to a named role by design, not by exception, with the criteria for escalation written down, reviewable and enforced in code.
HIPAA-Aligned Architecture
PHI handling designed in from the first commit: minimum-necessary access, encryption in transit and at rest, retention rules and BAAs in place before anything goes live.
Financial Services Compliance
Workflows built for evidence: KYC and AML steps recorded end to end, decisions explainable to an examiner, and reporting that risk, audit and operations all read from the same record.
Access Control, SSO & Tenant Isolation
Role-based permissions, single sign-on against your identity provider, and hard tenant boundaries so data cannot cross between clients, sites or business units.
Decision Logging & Audit Trails
Every automated decision recorded with its inputs, its output, its model version and its timestamp, queryable after the fact so an audit request is a search rather than an investigation.
PII & PHI Redaction
Sensitive fields detected and masked before they reach a model, a log or a transcript, so the useful part of the conversation is retained and the regulated part is not.
Evaluation & Drift Monitoring
Regression suites run against every release, live monitoring of refusal, escalation and error rates, and alerting when behaviour moves so a change is caught by you rather than by a customer.
Automation your risk and compliance teams will sign off on.
Case studies
This line, in the field
An insurer replaced its overflow call centre with a voice agent
Claims status, policy renewals and payment reminders handled on the phone around the clock, with full call transcripts kept for compliance.
A multi-site clinic group moved patient intake off the front desk
Bookings, reminders and intake questions handled by a voice agent, with staff only stepping in for the calls that need a person.
A regional lender moved KYC document review from days to hours
Automated intake, classification and validation of onboarding documents, with every step evidenced for the examiner.
Also available
The other service lines
Ready to put AI for Regulated Environments to work?
Tell us how the workflow breaks today. We will tell you whether it is an automation problem, a product problem, or neither.