Databook has launched its GTM Decision System, a platform that provides enterprise revenue teams with verified customer context and AI-powered workflows. The system is built on Databook's Customer Context Graph, which combines licensed data, proprietary information, and CRM insights to deliver actionable intelligence for sales and marketing teams. The company, whose customers include Salesforce, Microsoft, and Databricks, is introducing an outcome-based pricing model. Databook charges a base fee plus a share of revenue generated strictly above the customer's financial plan, with a 90-day risk-free proof of value period. The platform features modular AI workflows that can deploy in weeks, a composable interface for flexibility, and tools allowing non-technical users to configure agents without IT support. Every data point includes its source and provenance for transparency. The system is available immediately to new and existing customers.

Databook has appointed Anton Stetsenko as VP of AI Strategy and Deployment to lead its AI-native services organisation. Stetsenko joins from Alvarez & Marsal, where he was a managing director leading AI transformations for private equity firms and portfolio companies. He previously spent over a decade at McKinsey & Company as an associate partner. In his new role, Stetsenko will oversee forward-deployed engineers and AI strategists who work with customer revenue teams to design and deploy AI go-to-market systems. The appointment reflects Databook's shift towards embedding AI technology into how sales teams actually work, rather than simply providing software. Databook's services now include a 90-day proof of value programme covering evaluation, co-design, deployment, adoption enablement, and value realisation, with integration into existing CRM and collaboration tools.