Sidetrade Targets 30 to 35% EBITDA by 2030 Through Its Agentic Model

A Restructured R&D Model Around AI Agents

The core of this transformation lies in PodFlow, an R&D model built in 2025 and now applied across the company. In an initial pilot, a team of three delivered what previously required a team of six, while functionalities that once took 80 man-days to develop are now completed in three days. Sidetrade's 22 R&D teams now operate according to PodFlow, and the program has recouped its investment cost within six months. In this architecture, AI agents validate problems, generate specifications, write code, execute tests, and prepare documentation. Developers have shifted from an execution role to one of oversight, validation, and governance of what the agents produce. No feature enters the R&D pipeline without a validated problem, and none exits without complete documentation.

Expansion Across the Entire Organization

The agentic model now extends to every business function of Sidetrade, beyond engineering. Each transformation phase is self-financed by the savings from the previous phase. The company targets a productivity gain of 20% by 2026, with further improvements expected in 2027. The resources freed up will be reinvested to enhance the customer experience. This operational transformation also meets the growing expectations of corporate buyers, who increasingly expect software vendors to apply the AI technologies they advocate to their own activities. Sidetrade integrates the six categories of AI activators defined by The Hackett Group (predictive, conversational, insight, workflow, cognitive, and content) into its daily production.

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