Three formats, led by practitioners and built on your real briefs, reports and campaigns. Your team leaves with workflows that already work, and a way to keep them working.
Each format stands on its own. Together they take a function from agreeing where AI fits, to doing the work with it, to owning it.
For CMOs and heads of growth: where AI changes your marketing economics, what to fund first, and who owns the risk.
You leave with
Your marketing, content or growth team builds with AI on live work: research, briefs, reporting, creative QA.
You leave with
We train a small group inside your team to build, run and improve agents, so the capability stays after we leave.
You leave with
Microsoft found that only 39% of global AI users had received company-provided training, while most brought their own AI tools to work.
Microsoft and LinkedIn, Work Trend Index 2024 (opens in a new tab)
BCG reports the share of employees who feel positive about GenAI rises from 15% to 55% with strong leadership support.
MIT NANDA's 2025 study found most generative AI pilots stall, and pointed to a learning gap rather than model quality.
As reported by Fortune, August 2025 (opens in a new tab)
Public research, quoted for context. These are not ThinkPivot results.
All three are practitioner-led, run on your own work and tools, and come with follow-through.
| Format | Audience | Duration | What you leave with | Best when |
|---|---|---|---|---|
| AI leadership briefing | CMOs, heads of growth and their direct reports. Up to 12. | Half day on-site or remote |
Opportunity map, three funded priorities, AI use policy, operating-model decision | Leaders need to agree where AI money and risk sit before teams scale. |
| Hands-on team workshop | Marketing, content, growth and ops teams. 8 to 20. | 1 or 2 days on-site or remote |
Shared prompt library, 2 to 3 working agents, playbook, before-and-after times | The team has the tools, but the weekly work looks the same. |
| AI champions programme | 4 to 8 champions, plus a leadership sponsor. | 6 weeks hybrid |
Trained champions, one shipped workflow each, operating guides, adoption scorecard | You want the capability to stay inside the team after we leave. |
Not sure? Tell us what is happening and we will recommend a format, or a smaller first step if that would serve you better.
Leadership cannot agree where AI fits, or who owns the risk.
Start with the leadership briefing.Leadership briefing
People have the tools, but the weekly work looks the same.
Run the hands-on team workshop.Team workshop
You trained the team once, and use faded within weeks.
The champions programme makes it stick.Champions programme
You want all three.
A common sequence is briefing, then workshop, then champions, over about a quarter.
The session is the middle of the work, not all of it.
Before
A short review of the team's real workflows, tools and bottlenecks, so every exercise is built on your own material.
During
Small groups build live on their own briefs, reports and campaigns. Every participant ships something they will use the next morning.
After
Office hours, a check on what the team is actually using, and a short adoption report for leadership.
We work in the tools you licence, on accounts you control. Nothing is copied to ours.
Your voice guide, claims rules and regulatory limits shape every exercise.
Every workflow has an owner, and nothing reaches a customer without human approval.
We start with what you already pay for, and explain any gap that matters.
We track a few numbers that show whether the work changed. No vanity scores, no satisfaction surveys passed off as results.
Weekly use of the workflows the team built, not logins or licences.
Measured by usage data from your own tools.
Time per task on real work, timed before and after.
Measured by timing the same task twice, not a survey.
Agents and prompt systems still in regular use after 30 days.
Measured by the team library and agent log.
Errors caught before review, and rework per draft.
Measured by QA logs and reviewer notes.
We agree the baseline with you before we start, and we report what we measure, including what did not stick.
Sessions are led by Rajeev Pandey and the ThinkPivot team, who design and run these workflows for clients every week. The examples come from live operating work, not a course library.
Each format is led by people who build and run AI workflows for marketing teams every week. Rajeev leads the leadership briefings himself.
Meet the teamEach format page has its own questions too.
Start from the problem. If leaders have not agreed where AI fits, start with the briefing. If the team has tools but the work has not changed, the team workshop. If you have trained before and use faded, the champions programme.
The formats are built for marketing, growth, content and sales teams. The same method works for adjacent functions that run recurring, judgement-heavy work, and we will tell you plainly if it is not a fit.
The ones you already licence, such as ChatGPT, Claude, Gemini or Microsoft Copilot. We are not tied to a vendor.
We work inside your accounts on data you approve, under your NDA if you have one. Nothing is copied to our systems.
No. Participants are trained on their own work, and what they leave with is workflows that run. We would rather show what shipped than issue a certificate.
Adoption, hours saved on real tasks, workflows still in use after 30 days, and quality. We agree the baseline before we start and report what we measure, including what did not stick.
It depends on the format, group size and location. After a short call we send a clear written proposal with scope, dates and fees.
Tell us the team, the size and the work. We will recommend a format, or tell you if a smaller first step would serve you better.
Request a workshop
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