Governed AI for
Regulated Work
A runtime policy engine that gates every AI action, enforces human-in-the-loop on restricted operations, and produces audit-grade evidence for every decision.
Ungoverned AI is a liability
in regulated environments.
Organizations need AI to accelerate workflows. But in high-stakes environments, accountability, auditability, and human oversight are non-negotiable.
No Runtime Enforcement
AI tools run without policy gates. Actions execute unchecked, with no mechanism to block or require approval before high-risk operations.
No Audit Trails
No defensible record of what happened, who authorized it, or why. Post-hoc logging is not governance.
No Human Oversight
Agent frameworks optimize for autonomy, not compliance. No built-in mechanism for human approval on restricted actions.
No Evidence Chain
Decisions cannot be traced back to source data. Without provenance tracking, AI outputs are not audit-defensible.
Accountability Gap
When AI acts in procurement, legal, compliance, or healthcare contexts, who is responsible? Current tools do not answer this.
Binary Choice Trap
Full automation or fully manual. No graduated approach that matches oversight to risk level.
The MAI Classification System
Every AI action is classified by risk level and governed at runtime. Not post-hoc. Not optional. Enforced before execution.
Mandatory
High-risk actions require human approval before proceeding. No exceptions. No overrides.
Advisory
Medium-risk actions flagged for review. Auto-proceed with logging after configurable timeout.
Informational
Low-risk actions proceed automatically with full audit logging. Maximum speed, complete transparency.
Runtime Policy Engine
Default policy rules evaluate every action against governance boundaries. Most-restrictive-wins logic ensures nothing slips through.
Non-Negotiable Boundaries
No credential automation. No CAPTCHA bypass. No automated submissions. No stored passwords. Hardcoded, not configurable.
Evidence Packs
Every execution produces audit-grade bundles: timeline, artifacts with provenance, decisions with reasoning, approvals, and SHA-256 integrity hash.
Playbook System
Portable workflow definitions with governance boundaries built in. Each step carries its own MAI classification. Industry skill packs extend capabilities.
Parallel Workforce
Multiple governed agents execute simultaneously. Individual audit trails and governance gates maintained for each agent in the workforce.
Immutable Audit Trail
Every action logged with operator identity, timestamp, classification, and policy decision. Hash-chained for tamper evidence. SIEM-exportable.
From Ingestion to Evidence Pack
ACE orchestrates governed AI agents through a structured pipeline. Every step is classified, gated, logged, and auditable.
Ingest
Data enters through the Unified Gateway. PII/PHI redacted. Behavioral integrity checks detect adversarial inputs.
Classify
Each workflow step is pre-classified as Mandatory, Advisory, or Informational. Declared at design time, enforced at runtime.
Execute
AI agents process tasks in parallel. Policy rules evaluate every action. High-risk operations require human approval.
Deliver
Results packaged as tamper-evident evidence packs with full audit trails and SHA-256 integrity hashing.
Built for Regulated Industries
Configurable playbooks and industry skill packs adapt ACE to your specific regulatory requirements.
Procurement
Qualify RFPs in minutes. AI-powered competitive analysis and win probability with audit trails for bid protest defense.
- Parallel opportunity qualification
- Competitive landscape analysis
- Win probability scoring
- Evidence pack per opportunity
Legal
Accelerate case research and document review while maintaining chain of custody and work-product protection.
- Document evidence extraction
- Case precedent mapping
- Citation verification
- Defensible decision trails
Compliance
Automate evidence gathering with governance controls that satisfy auditors. Compliance-ready documentation out of the box.
- Regulatory evidence collection
- Control framework mapping
- Gap analysis and remediation
- Tamper-evident audit packages
Healthcare
Navigate prior auth, claims, and eligibility with HIPAA-aware governance and consent-gated workflows.
- Claims processing acceleration
- Prior authorization navigation
- PHI redaction at ingestion
- HIPAA boundary enforcement
Governance Built In, Not Bolted On
Existing tools optimize for speed or autonomy. ACE is the only platform where governance is a first-class runtime concern.
| Capability | Traditional RPA | AI Agent Frameworks | ACE Platform |
|---|---|---|---|
| Runtime Policy Gating | None | None | Default rules, extensible |
| Human-in-the-Loop Gates | Not built in | Not built in | MAI classification enforced |
| Audit-Grade Evidence | Basic logs | Post-hoc logging | SHA-256 evidence packs |
| Credential Protection | Stores credentials | Varies | Zero stored credentials |
| Compliance Architecture | Add-on modules | Not addressed | NIST AI RMF aligned |
Common Questions
Everything you need to know about governed AI workforce automation.
ACE is a runtime policy engine that gates every AI action, enforces human-in-the-loop on restricted operations, and produces audit-grade evidence for every decision. It uses the MAI classification system (Mandatory, Advisory, Informational) to match the right level of human oversight to every action based on its risk level. Designed for regulated industries where AI acceleration is needed but accountability cannot be automated away.
MAI stands for Mandatory, Advisory, and Informational. Mandatory actions require human approval before execution. Advisory actions are flagged for review with configurable auto-proceed. Informational actions proceed automatically with full audit logging. Classification is declared at design time and enforced at runtime. No agent can self-promote to a lower risk tier or bypass governance gates.
AI agent frameworks are optimized for speed and autonomy with zero built-in governance. No compliance boundaries, no human-in-the-loop gates, no audit-grade evidence generation. ACE is fundamentally different: governance is built into the runtime. Every action is classified by risk, evaluated against policy rules, and logged with tamper-evident hashing. This makes ACE deployable in regulated environments where those frameworks cannot operate.
ACE's architecture aligns with NIST AI Risk Management Framework (AI RMF 1.0), CMMC 2.0, HIPAA, and FedRAMP security controls. The MAI classification system maps directly to NIST AI RMF's GOVERN function, providing the graduated autonomy model recommended by the framework. Immutable audit trails with SHA-256 hashing provide the evidence chain required for compliance audits.
Evidence packs are audit-grade output bundles generated for every workflow execution. Each includes a complete action timeline, extracted artifacts with provenance, decisions with reasoning and confidence scores, human approvals with timestamps, and a SHA-256 integrity hash for tamper detection. They prove what was done, why, by whom, and whether it was properly authorized.
Ready to Govern Your AI Workforce?
We are selecting pilot partners in procurement, legal, compliance, and healthcare.
Request a Pilot