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Avoid Your Team Becoming Slow, Risky And Stuck On The Sidelines
When AI starts to roll out in pockets of the business but your SFCC teams are still working the old way, you end up with the worst of both worlds: manual processes, mounting risk and little to show for the investment. Every change still runs through Business Manager clicks, a handful of specialists gatekeep critical settings, and each new AI idea rebuilds its own plumbing—so tools stay disconnected, momentum stalls and your team is left watching others move faster
- Slow, manual execution instead of AI‑assisted work
Teams still click through Business Manager for every change, so real productivity gains never appear. - Productivity capped by specialist bottlenecks
A few SFCC experts handle advanced settings, so simple changes queue instead of going to AI co‑pilots. - Fragmented AI efforts and slow adoption
Each new AI idea rebuilds plumbing from scratch, so many die in slides and tools stay disconnected.
TCTG’s SFCC MCP Server turns AI from scattered experiments into a safe, shared engine your whole team can use. By exposing governed, reusable SFCC capabilities to Agentforce and other AI tools, it lets trading, content and ops teams trigger changes and workflows through AI‑driven automation instead of endless BusinessManager clicks, increasing productivity without adding headcount and reducing dependency on a few specialists. At the same time, centralised permissions, data access and audit controls mean every new AI use case can plug into the same secure foundation-accelerating adoption of AI‑powered commerce journeys while keeping risk tightly managed
