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AI Agent Enablement Sprint

Move beyond coding assistants in a two-day team sprint that combines practical agent training with one working workflow built around your real tools and work.

Plan our two-day agent sprint
Key Features
  • Plain-language agent training for the people doing the work
  • Two real workflows mapped and one selected for the build
  • One working agent-assisted workflow tested with realistic examples
  • Human-review, access, and stop boundaries documented
  • Reusable prompts, operating notes, and a 30-day adoption plan

Proof and resources for a two-day team sprint

The sprint works best when the team arrives with real work, a clear owner, and a safe prototype boundary. These resources help you choose the workflow and define what the agent may do before the room starts building.
worksheetAI workflow readiness checkScore a candidate workflow by impact, effort, and risk before bringing it into the sprint.worksheetAI approval policy worksheetDefine what the first agent may read, draft, change, send, escalate, and never do.guideRun a shadow week before AI automationPractice with reviewed examples before any agent-assisted workflow receives production authority.guideAI pilot proof packetSee the evidence a later implementation should produce before the team expands beyond the sprint prototype.

Assessment artifact

Bring two workflow cards

For each candidate, write down the trigger, people involved, source material, repeated decisions, current tools, sensitive data, required approvals, and the result that would make two days worthwhile. We will choose one workflow that can be prototyped safely during the sprint.

Is this the right path?
Decision-stage guidance for teams comparing options and choosing the first practical engagement.

Who this is for

For small companies whose people already use AI for coding, drafting, or research but have not yet made agents part of shared daily work. This is a strong fit when the team wants hands-on guidance, has one or two recurring workflows to bring, and needs a useful first result without committing to a broad implementation program.

Where teams get stuck

  • AI use depends on a few technical people while the rest of the team watches from the sidelines.
  • Online demos look impressive, but nobody has connected an agent to a real company workflow.
  • The team is unsure what an agent may read, draft, change, send, or never do.
  • Tool experiments keep multiplying without a shared playbook or next step.

What the first engagement looks like

Before the sprint, we collect two candidate workflows and confirm that at least one can be prototyped without production credentials or sensitive data. Day one gives the team a practical agent foundation, maps both workflows, and chooses the build. Day two creates and tests one agent-assisted workflow with realistic examples, then trains the team on operation, review, and improvement. The handoff includes reusable prompts and notes, documented access and human-review boundaries, and a prioritized 30-day adoption plan.

What counts as a successful sprint

This service succeeds when the team can explain the agent's job, run one working workflow, identify what still needs human judgment, and decide what to practice, revise, or build next. It is an enablement and prototype engagement, not a promise that a two-day workshop will safely deploy a production system.

Next step

Bring the people who do the work and two recurring workflows. We will use the fit call to confirm which one is safe and useful to build during the sprint.

Plan our two-day agent sprint

Likely build stack

AI agent toolsTeam workshopsWorkflow prototypingOperating playbooks