Start with a mandate, not a headcount
A squad is a small, cross-functional group with enough context and authority to improve a real workflow. Before assigning people, name the business outcome, the workflow boundary, and the executive sponsor. A mandate such as ‘reduce the time to resolve supplier exceptions without increasing errors’ is more useful than ‘explore agents’.
Write a one-page charter. Include a baseline, an accountable business owner, access to representative users, and the decisions the team can make without escalation. Funding should cover discovery, integration, adoption, and operation—not just the first demonstration.
Connect three responsibilities
The Deployment Strategist makes the problem understandable and keeps value in view. The Forward Deployed Engineer makes the solution tangible and tests it against real systems. The Product or Business Owner makes business decisions and remains accountable for the outcome.
These are responsibilities, not mandatory job titles. In a small team one person may cover more than one, but the responsibilities must not disappear. Add domain experts and specialist AI engineering where the task demands it.
- Reserve recurring time with end users and domain SMEs.
- Agree who can authorize data access and production changes.
- Keep the business owner involved after the first release.
Make learning part of the operating rhythm
Review a working slice of the product with users every week. Discuss observed failures, task completion, and changes to the workflow—not slide decks and activity counts. Keep an explicit decision log so the team can revisit assumptions.
A portfolio forum should remove blockers and decide whether to continue, reshape, or stop the work. Shared platform, security, and governance functions provide guardrails and reusable services rather than becoming a queue for every decision.
Deliver a narrow, owned workflow
Begin with one bounded task and an identifiable group of users. Define acceptable quality and the conditions under which a human must approve or take over. Release progressively, watch real use, and assign responsibility for incidents and improvement.
A squad has succeeded when the workflow improves and someone owns its continued operation. A prototype alone is evidence of learning, not evidence of enterprise capability.
Put the idea to work.
Enterprise AI Squad ModelRelated concepts
References & further reading
These sources provide supporting context. The operating frameworks and recommendations are editorial interpretations, not claims of endorsement.