Get the marketing team AI-operational before a critical product launch window.
2-session AI Quick Wins workshop: tool selection, prompt architecture, launch-specific workflow deployment.
12 AI workflows deployed in the team's real tools. Prompt playbook became standard GTM operating procedure.
The challenge
A late-stage cybersecurity company was preparing to launch a new product, and their marketing team knew they needed to be AI-operational fast — not six months of AI "exploration," but practical workflows they could use on the launch itself. They had tried a generic AI course internally, but nothing stuck and nothing shipped.
The bar was high: the team wanted hands-on tool deployment, specific workflows tied to the new product launch, and a way to keep the knowledge inside the company after the engagement ended.
What I did
We ran a two-session AI Quick Wins workshop series specifically scoped around the upcoming product launch.
Session 1 — Tool selection and architecture
- A fast diagnostic of the team's current stack and the specific points where AI would have the highest leverage
- Tool selection across the AI landscape, mapped to the team's real workflows, not a vendor comparison chart
- Prompt architecture principles and a starter prompt library tuned to the launch's messaging and ICP
- Safety guardrails: what to automate, what to keep human-in-the-loop, and how to review AI output for a security-sensitive brand
Session 2 — Launch-specific workflows
- A set of AI workflows designed specifically for the new product launch — content, research, competitive analysis, sales enablement, customer communications
- Hands-on deployment during the session: by the end, twelve workflows were running in the team's actual tools
- A launch-ready prompt playbook, written for the team's voice and the new product's positioning
- Knowledge transfer so the team's senior marketers could run the playbook without me in the room
The outcome
Two weeks from kickoff, the team went from "AI curious" to shipping a product launch with twelve deployed AI workflows inside their real stack. The prompt playbook became part of their standard GTM operating procedure for future launches.
We went from theory to twelve live workflows in two sessions. The prompt playbook alone saved us weeks on the launch.
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