How ARKA AI governs revenue execution across churn prevention, expansion scouting, and renewal orchestration — with policy enforcement, human authority, and evidence-backed outcomes.
Multi-product SaaS companies face a compounding revenue challenge: as your product portfolio grows, the decision complexity for your revenue team grows exponentially. Expansion signals get missed. Churn patterns aren't caught until it's too late. Renewal governance falls to spreadsheets and tribal knowledge.
Usage data, support tickets, NPS scores, and billing events live in separate systems. No unified view of account health across products.
Every CSM runs their own approach. No standardized decision criteria for intervention timing, escalation thresholds, or expansion triggers.
When a deal is saved or lost, there's no forensic record of what happened — which signals fired, who decided, and what evidence supported the decision.
Preventable churn, missed expansion windows, and undisciplined discounting erode net revenue retention quarter after quarter.
The ON: Revenue runs three categories of governed Missions — each with dedicated AI workers, policy gates, human authority routing, and cryptographic evidence sealing.
AI workers continuously monitor account health signals — usage decline, support escalation patterns, NPS drops, billing anomalies. When risk thresholds are breached, the system generates intervention plans and routes them to your CSM team for approval. The system recommends — humans decide and act.
Workers analyze cross-product adoption patterns, usage headroom, and contract timing to identify expansion opportunities. Recommendations must pass policy gates (minimum confidence threshold, cross-sell eligibility rules) before reaching the revenue team. All outreach and pricing remain with your team.
Automated renewal health checks 90/60/30 days before contract end. Policy enforcement ensures discount compliance, multi-signer authority for high-value renewals, and evidence-sealed approval chains for every renewal decision.
We start with a read-only analysis of your current revenue operations — decision patterns, system integrations, and governance gaps. No data migration, no system changes. You see an Observed Decision Graph of how your team actually makes revenue decisions today.
Before any commitment, we validate whether your target KPIs (NRR improvement, churn reduction, expansion lift) are achievable given your data quality, process maturity, and policy readiness. If the gate returns BLOCKED or AT RISK, we tell you why — and whether advisory engagement can unblock it.
AI workers run in shadow mode alongside your team — generating recommendations and evidence packs without executing any actions. Your CSMs see what the system would have recommended, compare it to their own decisions, and validate accuracy through concordance scoring.
Workers graduate from shadow to supervised mode. Every high-value decision routes through human-in-the-loop approval gates. Kill switches at Mission, Blueprint, and Account levels ensure instant halt capability. Evidence is sealed for every decision.
Results are evidence-backed and measured against locked baselines. Billing is aligned to proven outcomes — not seats, tokens, or usage.
Ranges based on feasibility assessment. Actual targets are defined in Outcome Contracts with locked baselines and measurement periods.
30-minute call. We analyze your decision reality before proposing anything.
No commitment required to proceed.