SaaS Revenue.
Governed End to End.

When a usage signal crosses threshold, Arka AI scores trial eligibility across product signals, commercial indicators, and account profile — applying a confidence threshold before any action is taken. Accounts that pass suppression (opt-out, legal hold, conversion-exempted) receive a governed in-product offer. Opt-in is captured and evidenced. Provisioning routes to automated delivery for standard accounts or HITL approval for enterprise. Activation, engagement, and conversion are measured and written back to refine the scoring model for the next cycle.

Renewal risk is scored 90 days out using usage trajectory, support volume, engagement depth, NPS trend, and commercial history. Accounts above the conversion confidence threshold are routed to automated renewal sequencing. High-value accounts — above seat or revenue thresholds — require HITL approval before any commercial communication is sent. CSM handoff packages are evidence-sealed: score, contributing signals, recommended offer, and SLA. Every renewal outcome feeds the propensity model for the next cohort.

Expansion signals are composite: seat utilization trending toward cap, feature usage plateauing at tier limit, peer accounts in the same cohort with larger footprints, and engagement with add-on documentation. Accounts crossing the expansion signal threshold are scored and routed: high-propensity SMB accounts receive governed in-product expansion prompts; mid-market and enterprise route to sales with a scored, evidence-backed brief. Suppression prevents outreach to accounts in contract dispute, recently churned cohorts, or legally restricted status.

Churn risk is computed continuously across usage decay, support ticket velocity, NPS decline, login frequency drop, feature abandonment, and contract cliff proximity. Risk-ranked accounts surface to CSM queues with contributing signals prioritised — not a list, an intervention brief. High-risk accounts above revenue threshold trigger HITL escalation with a defined SLA. Every intervention is governed: the action taken, the authority who approved it, and the outcome are sealed as evidence. Closed-won saves and lost accounts both feed the churn model.

PLG motions convert product usage into revenue without a sales-led handoff. Arka AI monitors activation milestones, feature adoption sequences, and collaboration breadth signals — scoring each account's PLG conversion readiness continuously. When readiness crosses threshold, in-product moments are governed by the same OPA policy layer as all other motions: suppression applied, consent recorded, action evidenced. Accounts that convert via PLG and those that don't both produce model training data. The growth engine improves every cycle automatically.

Trials don't materialize from nothing — paid acquisition fills the top of the funnel. Arka governs the full chain: from ad impression to trial activation to conversion, under the same policy standard and evidence requirement as every revenue motion downstream. Hourly, Arka scores CPA and ROAS across channels, detects creative fatigue, reallocates budget toward high-converting audiences, and pushes decisions to ad networks — with a hard policy gate on any budget shift above threshold that routes to HITL approval before execution. Every creative rotation, audience expansion, and bid adjustment is evidenced. Brand safety and PII classification are enforced at the gate level before any audience action executes.

Every mission above requires a single, trusted, current view of each customer. Arka AI builds and certifies that foundation: unified account record across CRM, billing, support, product usage, and health signals — with a medallion certification layer that distinguishes trusted AI-ready data from exploratory data. In 72 hours from first data connection, the Customer 360 is live. Every subsequent mission reads from it, and every mission outcome writes back to it — compounding data quality with every cycle.