Control plane for autonomous AI
Enterprise infrastructure for autonomous AI
Safely deploy autonomous AI in production with deterministic governance, continuous reliability, and enterprise-grade auditability.
Architected for SOC 2 readiness
Controls and evidence collection designed against the trust services criteria from day one.
Deterministic enforcement
Policy gates execute mechanically before an action reaches infrastructure. Not advisory.
Cryptographic audit trail
Every decision signed, timestamped and attributed — tamper-evident by construction.
Deployed and evaluated with
logo placeholders
Problem
AI agents make autonomous decisions that are difficult to govern, audit, and control.
Solution
ARF applies deterministic policy enforcement before every autonomous action.
Outcome
Every decision becomes explainable, auditable, and operationally trustworthy.
Audience
Who ARF is for
Built for the moment AI agents stop recommending and start acting on production infrastructure.
Platform & SRE leads
You decide what AI-assisted tooling is allowed to do in production, and you need that decision enforced, not just documented.
Security & compliance leaders
You need a defensible, tamper-evident record of every AI-assisted operational decision — before an auditor asks, not after.
Teams adopting AI-driven operations
You want the speed of autonomous AI without losing the ability to explain, in writing, what happened and why.
Not there yet? The sandbox below is exactly for that — ARF is built for the step after evaluation, not instead of it.
Why ARF?
Foundation models are probabilistic. Enterprise operations require deterministic control. ARF bridges that gap.
Autonomous AI promises unprecedented speed and scale, but without governance it introduces unacceptable operational risk. ARF provides the missing control plane — translating probabilistic model outputs into verifiable, auditable actions that align with your business policies.
Why now?
Autonomous AI is moving from copilots to autonomous workflows. As AI gains the ability to act — not just recommend — organisations need infrastructure that governs execution, manages operational risk, and provides auditability by design.
ARF AI delivers that control plane. Built for the era where AI doesn’t just answer questions — it deploys code, modifies infrastructure, and makes decisions that affect business outcomes.
Built for regulated enterprises
Compliance, safety, and accountability are non-negotiable.
Architecture
How ARF works
- Application — Any client, any request shape (client)
- LLM / AI Agent — Non-deterministic reasoning (probabilistic)
- Policies — Matched to tenant rules (matched)
- Risk Engine — Explainable scoring (scored 0.31)
- Approval — Deterministic gate (granted)
- Execution — Runs only once cleared (gated)
- Audit Trail — Signed, tamper-evident (signed)
Product
Enterprise capabilities
Four subsystems, one control plane. Every capability is observable from the Governance Console and enforceable from the API.
Policy Enforcement
Deterministic policy gates that cannot be bypassed.
- Deterministic execution gates
- Approval workflows
- Regional policy controls
- Cost guardrails
Decision Governance
Tamper-evident records with cryptographic signing.
- Full audit trail
- Cryptographic attestation
- Attribution & accountability
- Regulatory-ready logs
Continuous Reliability
Proactive monitoring, predictive foresight, and automated recovery.
- Anomaly detection
- Predictive health scoring
- Control-theoretic stability monitoring
- Self-stabilising responses
Operational Transparency
Explainable risk scoring, causal reasoning, and real-time observability.
- Explainable risk scores
- Counterfactual what-if analysis
- Real-time dashboards
- Causal attribution
Enterprise-grade governance
The three properties a compliance officer will ask about in the first meeting. Each one is a mechanism, not a policy document.
Tamper-evident audit trail
Every decision is recorded, timestamped, and attributed. Logs are designed for regulatory review, forensic analysis, and compliance preparation — no exceptions, no gaps.
Mechanical enforcement
Policy gates that cannot be bypassed or silently overridden. Every override is logged. Enforcement is deterministic — not advisory.
Explainable reasoning
Every risk score is backed by transparent logic — never a black box. Suitable for executive briefings, regulator inquiries, and third-party audits.
Pilot feedback · placeholder quote
“We could not put agents anywhere near production until every action had a gate in front of it and a record behind it. ARF gave our risk committee something they could actually read.”
Head of AI Platform
Tier-1 financial services · pilot organisation
Pilot outcome · illustrative
- 0%
- of autonomous actions gated and recorded
- 0ms
- median policy evaluation overhead
- 0
- silent overrides — every exception is signed
Access models
A fixed deployment fee, plus either outcome-based pricing or a monthly retainer. Pilot access is time-limited and free for qualified organisations — no commitment required.
Sandbox
Simulation only
Free
- 1,000 evaluations / month
- Mock responses — not production
- Community support
Pilot
Time-limited · free
By review
- Protected core access
- Outcome-based or retainer after pilot
- Founder-led onboarding
Enterprise
Commercial · custom
Custom
- Custom deployment fee
- Outcome-based or retainer maintenance
- SSO, multi-tenancy, SLA
- Full enforcement + audit trails
Explore ARF
The public sandbox returns simulated responses only. Real enforcement and confidence guarantees require a pilot agreement.
API
Evaluation endpoint
Send an incident, get a governed decision back.
curl -X POST https://arf-ai-arf-sandbox-api.hf.space/v1/evaluate \
-H "Content-Type: application/json" \
-d '{"service_name":"api","event_type":"latency","severity":"high","metrics":{"latency_ms":450}}'Console
Governance Console
Risk, governance and compliance views on simulated decision data.
Specs
Technical specification
Data models, API contracts and decision rules, shared with qualified pilots under written terms.