Renewal workflows operate with SLA-based handoffs, automatic prioritization, and escalation triggers. Contract timelines tracked continuously. Customer health signals inform outreach timing. High-risk renewals flagged early with full context for account teams.



Quote generation runs through controlled playbooks with automated validation, pricing rule enforcement, and discount governance. Product bundles configured correctly the first time. Approval chains triggered based on deal parameters. CPQ errors caught before quotes reach customers—reducing rework, accelerating cycles, and protecting margin.



Pricing policy enforcement at point of quote creation. Discount thresholds validated automatically. Non-standard terms flagged for review before commitment. Revenue recognition rules applied consistently across deal types. Leakage prevented structurally through embedded controls—not discovered during QBRs or audits.



Contract reviews, legal approvals, and commercial sign-offs orchestrated with clear ownership and turnaround SLAs. Non-standard clauses routed to the right stakeholders automatically. Contract hygiene maintained through structured templates and validation checks. Deals close faster—without margin erosion or compliance risk.



Proactive renewal workflows, SLA-based handoffs, and governance
Standardization, validation, approvals, and exception handling
Controls, auditability, and policy enforcement across deals
Faster turnaround, cleaner contracts, fewer reworks
Reconciliation between Salesforce, billing, ERP for one source of truth
Quotes out faster. Errors gone. Sales teams sell.
Data sources - AI-operated CPQ, contract generation, amendments, and approval orchestration. CRM opportunity data, product and price catalogs, discount approval matrices, contract templates, historical deal terms, margin data, and workflow logs flow into the system.
Platforms & integrations - Salesforce CPQ, DealHub, Conga, PandaDoc, DocuSign CLM, Apttus, Oracle CPQ, SAP CPQ, and HubSpot integrate seamlessly.

Catch the churn signal before the customer leaves.
Data sources - Proactive renewal tracking, risk scoring, and lifecycle orchestration across subscription portfolios. Subscription data, product usage telemetry, support ticket trends, NPS/CSAT signals, billing history, engagement scores, and churn patterns drive renewal intelligence.
Platforms & integrations - Salesforce, Gainsight, ChurnZero, Totango, Zuora, Recurly, Chargebee, HubSpot, Klaviyo, and Braze enable coordinated renewal execution.





One pipeline. One truth. Confidence in the number.
Data sources - Unified CRM, billing, and ERP pipeline intelligence with AI-driven forecast modeling. CRM pipeline data, historical win/loss records, billing actuals, ERP revenue data, demand signals, POS sell-through trends, and seasonal patterns improve forecast accuracy.
Platforms & integrations - Salesforce, HubSpot, Clari, Gong, InsightSquared, NetSuite, SAP, Oracle ERP, Power BI, Tableau, and Looker integrate for unified visibility.





Every clause validated. Every dollar accounted for.
Data sources - Continuous SLA validation, billing assurance, and compliance documentation across the contract lifecycle. Contract documents, SLA definitions, billing records, usage data, vendor invoices, rate cards, spend reports, and compliance databases ensure control.
Platforms & integrations - Icertis, Ironclad, DocuSign CLM, Agiloft, Coupa, SAP Ariba, ServiceNow SPM, Ivalua, and Apttus integrate for contract governance.




Multi-product bundles, usage-based pricing, co-terms, and evolving contract structures create renewal risk and CPQ variance. Intelligence layer brings structured renewal execution, CPQ governance, and revenue integrity controls to reduce leakage, stabilize forecasting, and protect ARR growth.
High-volume deals, bundled offers, regional pricing variations, and layered approval chains increase operational friction and booking delays. Intelligence layer streamlines deal desk operations, enforces commercial governance, and reconciles revenue signals to accelerate quote-to-book without compromising margin.
Revenue operations require strict auditability, policy enforcement, and regulatory alignment. Intelligence layer embeds control frameworks, standardized approvals, and system reconciliation to prevent leakage while maintaining compliance and forecast confidence.

Faster quoting. Higher accuracy. Unified sales workflows and better customer experiences.

Elevated customer satisfaction. Streamlined service processes. Faster case resolution and stronger support outcomes.

Improved monetization accuracy. Faster billing cycles. Scalable automation for higher revenue throughput.