Every Arka AI capability is designed around one principle: execution without governance is liability. The ActionGateway (9 gates), Zero-LLM Control Plane, Trust Progression State Machine, and Dual Ledger are not features — they are the architecture.
Arka AI is built on four interconnected capability pillars. Together they produce a governed, evidenced, and replicable operational platform — from first pilot through PE portfolio rollout.
The ActionGateway is the governance core of Arka AI. Every mutation request — every state-changing action a worker attempts — must pass all 9 gates before execution. Gates run synchronously, in sequence. No gate can be skipped, bypassed, or deferred.
The control plane is Zero-LLM: OPA/Rego policy evaluation — not language model inference — decides whether actions are permitted. This means governance results are deterministic, auditable, and reproducible. A worker cannot hallucinate on a tax filing. A policy cannot be talked around.
Fail-Closed: if any gate fails, execution drops to QUARANTINED. The worker does not retry. No partial execution. Humans are notified.
Autonomy is earned, not assigned. Every Arka AI worker must progress through 9 trust states before it can execute autonomously on production data. Shadow mode is mandatory: the worker executes against real production data, but all outputs are discarded and compared to human baselines. Only when outputs consistently match the baseline does the worker advance to Qualified — and then Autonomous.
Arka AI's operational workers are domain-specific, qualification-gated AI agents — each authorized for specific capabilities within the 9-gate governance pipeline. Workers are not general-purpose chatbots. They are specialized, tested, and Trust Progression-qualified before any production deployment. Workers connect natively via the MCP Gateway to Claude, Copilot, and ChatGPT — making Arka AI invisible in the tools your team already uses.
Every enterprise will have multiple agents interacting with its operations — Claude, Copilot, ChatGPT Enterprise, internally-built agents, SI-built agents. The question is not whether agents access your systems. It's who governs that access, who has identity, what actions are permitted by tier, and what every interaction costs. Arka AI's MCP Gateway is that layer.
Every agent request — internal or external — is evaluated against OPA/Rego policy, identity-verified, metered, and logged to the Evidence Ledger. Write access requires the same 9-gate governance as a Sovereign Worker. Read access is tier-controlled. No agent operates outside the governance boundary.
For system integrations, Arka AI connects to your existing ERP, HRIS, CRM, and billing platforms via pre-built adapters. A new PortCo connects to the same Mission Library in approximately 10 days — no platform rebuild required.
The agent that governs access to your operations owns the commercial relationship. Arka AI's MCP Gateway is the identity, policy, and metering layer — for every agent that touches governed workflows.
Arka AI's revenue mission workers don't act on guesswork. Before any commercial action executes against an account, the propensity engine scores that account across five structured signal groups. The score — and its confidence level — are first-class evidence requirements, integrated directly into Gate 6 (Evidence provenance). Below the confidence threshold: the account routes to HITL, not to autonomous execution.
The engine uses gradient boosting with class-balancing techniques and k-fold cross-validation. Model performance is measured continuously against held-out validation sets. A model that drifts below its performance threshold triggers a re-qualification cycle before it can drive another mission action.
Confidence gate: propensity scores below the mission-defined confidence threshold route to HITL — not to autonomous action. The engine is a guide, not a trigger.
Real product UI. The Sovereign Control Hub gives operators live visibility across every mission, worker, blueprint, and evidence record — with governance status and alerts surfaced at a glance.
We demonstrate against real operational scenarios — billing reconciliation, tax filing, customer 360 — with live governance gates and evidence production. No mock data, no slide deck walk-through.