Governed by Design. Auditable by Architecture
Every Exelor solution is built to pass your compliance review — not prepared for it afterward.
Standards We Align To
ISO/IEC 42001 — our company-wide AI management baseline, applied to every engagement.
NIST AI Risk Management Framework (AI RMF 1.0) — our compliance structure covering governance, risk mapping, measurement, and management across every AI component we deploy.
Where required by jurisdiction, we apply additional layers — including EU GMP Annex 22 for pharmaceutical environments and HIPAA for healthcare data workflows.
Our Role: Implementor, Not Operator
Exelor designs and deploys AI solutions on your infrastructure, under your governance, with your data ownership.
We do not operate your systems post-handover. We do not process or control your data. No real or production data is used at any stage of implementation — only client-provided synthetic or pre-approved data, declared contractually.
Upon written acceptance, full operational and data responsibility transfers to you.
Governance Structure
Every engagement starts with a co-signed Risk Matrix defining risks, severity levels, and escalation paths. Our AI Risk Committee — CEO and CTO — holds decision authority over all AI risk matters and is available within one hour of any incident.
How We Classify Every AI Component
Before design begins, every AI component is formally classified:
Decision Support (DSS) — AI surfaces recommendations. A human makes all final decisions via a mandatory approval gate.
Decision Module — AI acts within a bounded scope, with a validation gateway on every output and compensation actions defined for every decision point.
Agentic — AI operates within architecturally enforced permission boundaries set by configuration, not prompt. Human approval is triggered automatically when confidence falls below threshold.
This classification is documented in the AI Process Classification Register — a standard deliverable in every engagement.
Governance Controls
The operational controls embedded in every AI implementation.
Audit Trail
Every solution maintains a complete trace from input to output. For deterministic processes, BPMN execution history logs every actor, timestamp, input, and output. For agentic processes, full observability is provided via LangGraph and LangSmith.
All data sent to AI components is pseudonymized before processing. Access to source data is restricted by role and whitelisted services only.
Compliance Handover
Exelor delivers a full compliance documentation package. Your compliance team audits the solution, identified issues are resolved, and written acceptance is signed before responsibility transfers.
No handover without sign-off.
Regulated Industries
Healthcare — HIPAA-aligned deployments with BAA signed before go-live. PHI never reaches an AI component in raw form.
Pharma / Medical Devices — Annex 22 architecture with AI in a strictly bounded Decision Support role, model version freeze, and ALCOA+ audit trail.
Financial Services — RBAC, full audit trail, and structured escalation logic delivered for FCA-authorized and fintech environments.