DENVER, CO – September 16, 2024 — T2M Works announced the availability of its AI-Powered Quote-to-Cash Automation Layer, an agentic workflow designed to eliminate friction across qualification, quoting, service ordering, provisioning, and invoicing.
Built on Azure AI Studio and T2M’s automation framework, the system captures sales interactions and automatically captures and structures critical business requirements discussed during the sales process, converting them into actionable steps across CRM, project delivery, and finance. This closes the gaps where most MSP and telecom deals traditionally stall, ensuring every opportunity moves smoothly from discovery to activation.
The automation layer addresses one of the MSP industry’s biggest operational blind spots: manual, error-prone handoffs. According to TSIA research, 61% of service delays originate from incomplete or inaccurate information passed between sales, engineering, and finance, while Forrester reports that organizations using automated quote-to-cash systems see 20–30% faster revenue realization. T2M Works’ system reduces these failure points by auto-generating quotes based on structured discovery data, validating pricing against rate cards and contracts, and triggering provisioning tasks without human intervention. Early VARs have cited dramatic gains, noting that the automation “catches missing details before they become problems” and “cuts days off onboarding timelines.”
Once services are activated, the workflow continues through billing and revenue operations. The platform cross-checks charges against contracts, flags variances, and posts validated billing data directly into accounting systems—significantly reducing credit/rebill events and disputes. Industry benchmarks indicate that companies with automated billing accuracy experience up to a 90% reduction in rework and 30–50% improvement in cash flow predictability. By unifying CRM, provisioning, and billing into one agent-driven workflow, T2M Works gives VARs a measurable advantage: predictable operations, faster revenue cycles, and a scalable backbone designed for Modern Work and agentic automation.
