Give your agents the authority to act.
ArtzAIn checks every agent action against policy before it runs, signs it into a tamper-evident ledger, and keeps it answerable to any auditor later — so your CFO, CISO, and General Counsel can finally say yes to agents that touch money, customers, and contracts.
Enterprise pilots open · VPC deployment · SOC 2 roadmap
The real reason AI agents are stuck
Your agents demo well. They never ship.
It's not the model. It's the missing trust infrastructure.
Across Fortune 1000s, agents pass proof-of-concept and stall at the trust boundary. Compliance, security, and finance won't let them touch money, customers, or contractual obligations without three things they've never had: an enforceable policy layer, a verifiable audit trail, and context grounded in the company's actual data and rules.
Without those, autonomy is a liability. With them, autonomy compounds.
- →Models can decide. They can't be governed.
- →RAG can retrieve. It can't enforce policy.
- →Logs can record. They can't be cryptographically trusted.
“Permission is the unlock. Speed, cost, revenue, and scale all follow.” — Jean de Rubens, Co-Founder, CEO / CTO
What we built
Four checks between intent and action.
Skip one and the agent is a liability. Run all four and it can be trusted with money, customers, and contracts.
Whose rules apply
Your financial controls, regulatory obligations, contractual commitments, and internal SOPs compiled into versioned, enforceable bundles.
What the agent knows
Context assembled from your systems of record at decision time — CRM, contracts, policy docs, service logs — with a redaction boundary at ingestion.
allow, deny, or review
Specialist agents vote inline. Sub-second resolution, with escalation to a human wherever your risk tolerance demands it.
Proof, not logs
Every decision sealed into a hash-chained, Ed25519-signed leaf: the policy applied, the context retrieved, the action taken. Auditor-ready.
How it works
From intent to action, governed every step.
- intent
- arrives from the agent — any vendor, any framework.
- policy
- check resolves whose rules apply and what's allowed.
- context
- retrieval grounds the decision in your real data.
- decision
- resolves to allow, deny, or review, with an escalation path.
- receipt
- is signed and hash-chained into the ledger, tamper-evident.
- action
- executes inside your perimeter, against your systems.
ArtzAIn — the model-agnostic agent control plane
The control plane sits on your data and policies and governs the action, never the model — so it sits in front of any vendor, any framework, any in-house agent. The context engine is the substrate inside it: multi-tower retrieval, specialist agents, and receipts on every path. Its own inference is self-hosted inside your perimeter — a Gemma-family model stack chosen on measured evidence — and the control plane calls no hosted LLM APIs: zero vendor egress.
Data sources your teams already use: Salesforce HubSpot Gmail / Outlook Google Drive OneDrive DocuSign Shopify GitHub Linear — ask about your stack during a pilot.
Policy & permissions
Your real policies — financial controls, regulatory frameworks, contractual obligations, internal SOPs — compiled into machine-enforceable bundles like eu-ai-act@v3. Agents check before they act, every time. Version-controlled, attributable, reviewable.
Context engine
The substrate underneath every decision. A multi-tower architecture organises your CRM, contracts, policy docs, service logs, and communications into semantic domains agents can reason across. Agentic retrieval keeps context current.
Decisioning
Resolution in 184ms, with confidence scoring and human-escalation paths. Agents don't produce opinions — they produce a verdict backed by policy, context, and a confidence interval your team calibrates.
Provenance & receipts
Every decision generates a cryptographic receipt — sha256:9f2a… hash-chained and Ed25519-signed. Tamper-evident. Auditor-ready. Court-defensible.
Specialist agent crew
Purpose-built identities for security, legal, compliance, privacy, fraud, and context — each holding a narrow capability contract, each in the registry, all governed by the same control plane.
Continuous learning
Every confirmed decision, override, and outcome compounds the context engine. Your governance gets sharper the more your agents act.
Coverage
A specialist for every kind of risk.
The ArtzAIn crew — each identity holds a narrow capability contract, and every one of them is in the registry.
Use cases
Agents that act, governed end to end.
These aren't dashboards. These are agents executing within your policies, leaving a receipt for every action.
Agent-mediated B2B commerce
Autonomous agents transacting on behalf of buyers and sellers, governed end to end by the control plane: catalogue terms, credit limits, and contractual commitments all checked before the order is placed.
Autonomous renewal & expansion
Agents read the contract, the usage data, the engagement signals, and the renewal calendar — and execute renewal motions inside sales policy. The CRO gets pipeline coverage. The CFO gets margin discipline. The GC gets a receipt for every commitment.
Procurement & vendor decisioning
Agents evaluate vendor proposals against your SLAs, security policies, and budget envelopes — then make or recommend procurement decisions inside guardrails. The CFO sets spend caps. The CISO sets the security floor. Agents move at machine speed inside the perimeter.
Compliance-bounded customer operations
Service agents resolve tickets, issue credits, and escalate disputes — all bounded by policy, all sealed with provenance. Customers get speed. Auditors get the record.
For the CFO
- →Spend caps and approval thresholds enforced at the policy layer
- →P&L attribution per agent action
- →Cost visibility across the agent fleet
- →Override and escalation paths your finance team controls
Your agents have a budget and a boss.
For the CISO
- →VPC deployment — data never leaves your perimeter
- →Self-hosted models — no hosted LLM APIs, zero vendor egress
- →Identity, secrets, and access controls integrated with your IdP
- →Cryptographic provenance on every decision
- →SOC 2 roadmap; encryption in transit and at rest
Your agents operate inside the perimeter you already trust.
For the General Counsel
- →Policy-to-rule mapping with version control
- →Tamper-evident audit log per action
- →Regulatory traceability — EU AI Act, SOX, GDPR, and HIPAA bundles
- →Court-defensible receipts on every decision
Your agents leave a trail your regulators accept.
Why now
The trust window is open. It will not stay open.
- 01Agents can finally act. Frontier model capability crossed the threshold for autonomous action in regulated workflows in the last 18 months. The model isn't the bottleneck anymore.
- 02Regulators are watching. The EU AI Act, US state-level frameworks, and SOX-adjacent guidance are converging on a single demand: provable governance over automated decisions.
- 03First movers compound. Every governed decision sharpens the context engine. Late entrants don't retrofit trust — they earn it from zero, with their first auditor already in the room.
For developers & consultants
Build on the control plane.
Everything you need to integrate ArtzAIn lives in the developer hub: the SDK surface and key capabilities, AWS insertion points, the downloadable reference — and an interactive architecture where you trace a real request through the stack to an allow, deny, or review verdict. A kill-switch event is a distinct object (trip_global() → AgentKilledError), not a fourth verdict.
PyPI Trusted Publisher (OIDC) · npm provenance attestation · Apache-2.0 source
Enterprise pilots open
Bring us the workflow Legal keeps blocking.
One workflow, your data, your policies, inside your VPC — stood up in four weeks with the team accountable for the rules.
Request logged.
A human replies within one business day with two call times.
01 · scoping call, day 002 · policy bundle, week 103 · live in your VPC, week 4