The governance infrastructure that makes AI automation auditable, compliant, and safe for regulated organizations.
Axiosky intercepts agent actions in real time, enforces policy-as-code, and generates immutable audit trails—before execution reaches your systems. Built for governments, financial institutions, and critical infrastructure operators who need autonomous speed with deterministic control.
Organizations can build agents. Deploying them at scale is where execution breaks down.
Agents act in milliseconds. Auditors ask questions in months. When regulators demand "why did the system do this?"—probabilistic explanations don't satisfy legal or compliance review.
Pilots succeed. Production deployments stall. Teams revert to human-in-loop bottlenecks, negating automation ROI.
One automated decision that violates regulation creates institutional liability. Generic "safety layers" don't encode your procurement rules, your data policies, or your jurisdictional constraints.
Legal and compliance teams block deployment. Automation remains confined to low-risk workflows. Strategic initiatives die in procurement review.
Uncoordinated agents create cascading failures. A purchasing agent triggers an out-of-policy vendor payment. Finance can't reconcile. Audit trails fragment. Manual intervention required.
Automation becomes a liability, not an asset. Trust erodes. Rollback costs exceed deployment value.
The root cause: Governance was treated as optional—a "nice to have" added after the agent works. Organizations that scale autonomous systems build governance into the architecture from day one.
Axiosky is a control plane that sits between your autonomous agents and the systems they act on. Every proposed action is intercepted, evaluated against policy-as-code, and either approved, blocked, or escalated—before execution.
An agent (procurement bot, reconciliation system, support automation) proposes an action: approve a contract, move funds, access records.
Axiosky Governor intercepts the proposal before execution. The agent cannot directly reach production systems—architectural enforcement, not code discipline.
Policy Engine runs deterministic rules: regulatory requirements, internal controls, approval matrices—codified, versioned, and tested. Not prompts. Not heuristics.
Immutable log: agent identity, action details, policy version, rules evaluated, decision, timestamp. Queryable. Exportable. Replayable.
Only approved actions reach systems. Blocks are enforced. Escalations route to authorized reviewers. Every step traceable.
Design principle: Same input + same policy = same decision. Deterministic outcomes you can certify, not probabilistic confidence scores you have to explain.
Procurement (competitive bidding, protests, oversight) · Regulatory enforcement (case management, evidence handling) · Citizen services (benefits eligibility, appeal workflows)
Public funds. Public scrutiny. Legislative oversight. Automation must survive FOIA requests, OIG audits, and Congressional inquiry. Axiosky produces the audit artifacts government accountability demands.
On-premises, air-gapped, sovereign cloud—jurisdictional control with no external dependencies.
Financial services (banking, insurance, asset management) · Healthcare (payer operations, clinical workflows) · Critical infrastructure (utilities, telecom, transportation)
Transaction processing (fraud, AML, sanctions screening) · Claims adjudication (coverage determination, appeals) · Change management (infrastructure deployment, compliance gates)
SOX, GLBA, HIPAA, PCI-DSS, NERC-CIP—regulations with teeth. One compliance failure = fines, remediation, reputational damage. Axiosky turns regulatory obligations into runtime enforcement.
VPC-peered cloud, hybrid, or customer data center—BYOK and HSM support for sovereign key control.
Air-gapped, on-premises, and sovereign deployment options available for data locality and jurisdictional control.
"Always comply with GDPR. Require approval for large transactions. Don't access PII without consent."
Policy-as-code. Deterministic evaluation. Full test coverage. Immutable audit trail linking decisions to specific policy versions and regulatory citations.
Use ML models to detect policy violations: confidence scoring, similarity checks, classification.
Codified rules that explicitly implement your procurement SOPs, your data policies, your regulatory obligations. Deterministic outcomes. Legal and compliance teams can review the code.
Build agents with LangChain, AutoGPT, CrewAI. Add logging. Hope for the best.
Architectural enforcement. Agents physically cannot reach execution systems without Governor approval (network segmentation, IAM policies, service mesh). Governance is infrastructure, not an afterthought.
AI safety tools focus on content risk (hallucinations, toxicity). Axiosky focuses on operational and compliance risk (unauthorized actions, policy violations, audit failures). Different problem. Different architecture.
Designed from the ground up for regulated deployment:
Agents isolated; Governor mediates all execution access
Policy packages signed; tampering detected
Append-only logs with cryptographic chaining
TLS 1.3, mTLS service auth, AES-256-GCM at rest
BYOK support; integrate with your HSM/KMS
You control where it runs and who has access:
AWS/Azure/GCP in your region; VPC peering or PrivateLink
Your Kubernetes or VMs; signed containers and Helm charts
No external connectivity; signed packages via secure media transfer
Governor in your data center; agents in cloud or edge
Not off-the-shelf software. Not opaque SaaS. Axiosky deployments are collaborative engineering engagements:
We map one high-stakes process with your operations and compliance teams
We translate rules into testable logic; your legal counsel reviews and certifies
Shadow mode, canary rollout, full monitoring before enforcement
Training, runbooks, monitoring integration, incident response procedures