A mid-market marketing organization had individual team members experimenting with AI tools on their own time, with no shared workflows, no formal training, and no consistency in how, or whether, those tools actually got used day to day. Good ideas stayed siloed with whoever discovered them.
ThrottleLoop ran an org-wide AI transformation engagement: auditing existing workflows across the team, identifying where AI agents and automation could remove genuinely repetitive work, and building MCP-based workflows tailored to the tools and processes the team already used. Alongside implementation, ThrottleLoop ran hands-on training sessions so the team understood not just how to use the new workflows, but why they worked, with the explicit goal of the org running everything independently once the engagement wrapped.
The organization moved from scattered, individual experimentation to a set of shared, repeatable workflows adopted across the team. Manual reporting and campaign administration took up noticeably less of the week, freeing time for the strategic work that had been getting squeezed out.
Illustrative example — real case studies are added as engagements complete.