Mission Workflow Sprint
The Mission Workflow Sprint is a fixed-fee, rapid engagement designed to take you from identifying a high-friction workflow to having a working AI co-worker prototype, defined success metrics, and a clear rollout plan.
Built for organizations ready to move past AI exploration.
Three phases. Clear deliverables at each stage.
Discovery & Mapping
- Stakeholder interviews and workflow observation
- Current-state workflow documentation
- Bottleneck identification and prioritization
- Data and system inventory
- Success metrics definition
Design & Prototype
- AI co-worker architecture design
- Workflow boundary definition
- Human-in-the-loop checkpoint design
- Initial prototype development
- Integration point mapping
Validate & Plan
- Prototype testing with real workflow scenarios
- Stakeholder review and feedback incorporation
- Metrics baseline and target definition
- Rollout plan and timeline development
- Pilot scope and resource requirements
What we need from you
- Access to the target workflow and its stakeholders
- Sample documents, data, or artifacts from the workflow
- Current tools and systems inventory
- Organizational constraints and compliance requirements
- Designated point of contact with decision authority
What you get
- Current-state workflow analysis with bottleneck identification
- Working AI co-worker prototype scoped to the target workflow
- Defined success metrics with baseline measurements
- Human-in-the-loop oversight design
- Integration architecture and requirements
- Rollout plan with timeline, resources, and milestones
- Pilot proposal with scope, cost, and expected outcomes
Concerns we hear — and how we address them.
"We have already tried AI and it did not work."
Most AI initiatives fail because they are too broad, lack workflow boundaries, or skip the human oversight design. The Sprint is specifically designed to avoid these failure modes by scoping tightly, building in human checkpoints, and defining measurable outcomes before scaling.
"Our data is too sensitive for AI."
We design architectures where data stays within your authorized boundaries. The Sprint phase specifically addresses data handling, access controls, and compliance requirements for your environment.
"We do not have the budget for a large AI initiative."
The Sprint is a fixed-fee engagement designed to prove value before you commit to larger investment. It is the lowest-risk way to determine whether AI co-workers can improve your specific workflows.
"Our leadership is skeptical about AI."
The Sprint delivers a working prototype with measurable metrics—not a slide deck. Skeptical leaders respond to demonstrated results on their actual workflows, not theoretical capabilities.