A short diagnostic session that provides finance and operations leaders visibility into how payments actually move across channels, revealing gaps that impact cost, compliance, and performance.
A new 30-day activation approach helps organizations move beyond just going-live to actively measure, manage, and improve payment performance
Datatel Inc. today announced that Co-Founder and Co-CEO Barnard Crespi will participate as a panelist at The Future of Commerce: Data, AI, and the Rise of Autonomous Buyers, hosted by the Ontario Chamber of Commerce in collaboration with Northeastern University Toronto, on May 7, 2026.
Datatel, a leader in IVR Payments and secure payment automation, today announced the release of its Phone Payment Risk & Optimization Worksheet to help organizations assess operational friction, customer experience gaps, and PCI exposure in phone payments.
Phone Payment Resilience Snapshot a rapid self-assessment tool, designed to help organizations identify hidden cost exposure and PCI risk within their phone payment processes, all in under 3 minutes
Datatel, a leader in IVR Payments and secure payment automation, today announced CryptoIVR™ AI AgentGuard, a new payment isolation layer designed to enable Voice AI deployment in live phone payment journeys without expanding PCI scope or compliance exposure.
Session to discuss “AI, When the Buyer Isn’t Human: CIO Strategies for the Rise of Agentic Commerce“ on May 18, 2026
Datatel, a leader in IVR Payments and secure payment automation today announced the release of the 2026 edition of “IVR Payments Simplified. A Practical Guide to Secure, Scalable Phone Payments.
In this episode, Datatel Co-CEO Barnard Crespi explores the evolving role of Voice AI in payment environments and the critical intersection with PCI compliance, drawing the line that protects innovation while safeguarding cardholder data.
Datatel, a leader in IVR Payments and secure payment automation, announced today the release of a new video podcast. Featuring Co-CEO Barnard Crespi, the podcast examines why many artificial intelligence initiatives fail to deliver expected productivity gains.