Challenge
The Fix Price IT director asked not for a standalone AI review but for a complete program: what the pipeline from a business requirement to pre-prod looks like, where AI agents operate within it, what roles the agents have, how context, rules, prompts, skills and plans are formed, where a human controls the result and how much the rollout costs. KT.Team framed the project as a change to the PIM production loop, not as the adoption of a trendy tool.
Solution
The scope covered discovery and design of the AI loop, a fast core of context + rules + agent pre-review, an MVP of a single process, expansion into analytics and development, QA/regression support, operations, metrics, training and scaling. The documents explicitly note a limitation: this is not a turnkey box and not a promise of production end-to-end AI SDLC, but a managed rollout program with phases, risks, metrics and phased expansion.
Project scope
After validation, the scope was narrowed to a PIM team of about 20 people: KT backend/core, Toolkits frontend, and the internal Fix Price team. The result was an AI SDLC program structure for the enterprise team, a risk map, a baseline plan for TTM/defect metrics, and a commercial implementation framework.
