The North Star
A practical playbook for teams moving past AI experimentation. Translates business goals into AI workflows that ship — with clear owners, metrics, and guardrails.
Case Study · AI Strategy
AI Strategy Playbook
A company-wide framework for adopting generative AI across operations, marketing, and product teams — with repeatable plays, toolchains, and adoption metrics.
Featured walkthrough
Zesty Bowl — playbook in action
A short walkthrough showing the playbook applied end-to-end: from concept and brand strategy through identity, menu, and launch content — all built with the AI workflow stack.
Where It Applies
Operations, marketing, and product teams using generative AI to compress research, content, and launch cycles. Designed for orgs scaling from pilots to production.
The Workflow Stack
Modular toolchain combining LLMs (Claude, ChatGPT), creative tools (Midjourney, Canva, Gamma), and automation (Zapier, n8n) — orchestrated around repeatable plays.
Enablement & Adoption
Pairs every play with prompt libraries, role-based training, and adoption metrics so teams build durable AI muscle — not one-off demos.
The Plays
- Opportunity scan — find the highest-leverage AI use cases
- Toolchain selection by team and outcome
- Prompt library + brand voice guardrails
- Workflow design from idea → shipped asset
- Adoption metrics and governance checkpoints
- Live case study: Zesty Bowl brand launch
The Takeaway
A good AI strategy is not a tool list — it's a set of repeatable plays your team can run, measure, and improve. The playbook turns scattered AI experiments into a system that compounds across launches.