THE FOUNDATION
AI Discovery Sprint
Define where AI creates measurable business impact – before you build anything.
Most organizations already have AI initiatives in motion. Very few have clarity on which ones will actually move the business.
550+ Engagements Since 2006 — Trusted By
THE CLARITY CHECK
When Discovery Is the Answer
Most organizations already have AI initiatives in motion. Very few have clarity on which ones will actually move the business.
No Clear ROI on AI
Initiatives are in motion, but none are clearly tied to business outcomes or on a path to scale. Activity is accumulating without a prioritization layer.
Leadership Pressure to Show ROI
There is a board mandate to demonstrate AI ROI — but no structured basis for deciding where to direct effort first.
Data, No Decision Layer
Data exists, but there is no clear framework for deciding where AI should be applied, what should be prioritized, and what should not be built.
Engineering Without Direction
Engineering effort is being committed without a validated roadmap, before there is clarity on where AI will actually move the business.
SPRINT DELIVERABLES
What You Walk Away With
This is not exploratory output. It is a decision-ready plan that defines where AI should be applied, what should be prioritized, and what should not be built.
Prioritized Use Case List
A prioritized list of AI use cases ranked by business impact — so leadership knows exactly where to invest first.
Value Articulation
A clear definition of where AI will and will not create value. A clear view of what not to build is equally important as what to build.
Pilot Scope
Defined scope with expected outcomes and success metrics for your first AI implementation.
Execution Roadmap
A structured execution roadmap aligned to business priorities — not a list of ideas still to evaluate.
Investment Case
An investment case the leadership team can use to approve and fund the next phase. Decision-ready, not exploratory.
DEFINED OUTCOMES
Review a Sample Discovery Output — Download the DARE Framework Brief
See exactly what a decision-ready Discovery output looks like — use cases ranked, pilot scoped, investment case defined. Before committing to anything.
OUR TRACK RECORD
The Scale Behind the Work
Every engagement is backed by two decades of consistent engineering delivery and over a thousand products shipped to production.
20+
Years of Engineering Products
1000+
Products Shipped to Production
350+
Product Engineers
90
Day Production Warranty
600+
Projects
PROOF OF CONCEPT
What Discovery Has Unlocked
These outcomes were defined during Discovery and validated before any implementation began.
Investment Operations
Deal evaluation cycles reduced from weeks to days.
Real Estate Operations
Invoice processing time reduced from 20+ days.
Enterprise Finance Operations
Analyst capacity shifted from annual tasks to decision-making.
TAKE THE FIRST STEP
Start With Clarity. Then Decide What to Build.
A 30-minute conversation to assess fit and discuss your AI priorities. No sales pitch.
ENGAGEMENT STRUCTURE
Clear Scope. Fixed Engagement.
The engagement is led by a senior consulting practitioner with direct involvement throughout. No handoff to project teams.
INVESTMENT
Discovery Sprint
A fixed-scope, fixed-fee engagement to diagnose your AI potential and define a decision-ready roadmap.
- $25,000 fixed fee
- 3–4 weeks
- Non-recurring
- Direct with business and functional stakeholders
- Led by a senior consulting practitioner throughout
Best for: Organizations ready to define where AI should move the business.
NEXT STEP
AI Pilot Program
Validate ROI on the highest-impact workflows identified in Discovery. Begins only after Discovery is complete.
- Scope defined in the Discovery Sprint
- Targets measurable ROI on priority workflows
- Begins only after the Discovery output is validated
Best for: Teams ready to validate the business case identified in Discovery.
AT SCALE
AI Transformation
Scale AI across the organization after a pilot has demonstrated measurable ROI.
- Follows validated pilot ROI
- Organization-wide AI scaling
- Dedicated consulting governance
Best for: Organizations ready to scale AI across functions with proven outcomes.
WHERE WE WORK
Sectors Where Discovery Creates the Most Impact
The Discovery Sprint has been delivered across industries where AI decisions carry significant operational and financial consequences.
HOW IT UNFOLDS
What to expect during the Sprint
The engagement runs over 3–4 weeks and is structured around focused working sessions. You work directly with business and functional stakeholders throughout. No delegation to delivery teams.
Week 01
Workflow Mapping and Problem Definition
Identifying core bottlenecks and value leakage points across the business to define where AI can have a measurable impact.
- Workflow mapping
- Value leakage identification
- Problem definition
Week 02
Feasibility Assessment and Use Case Shaping
Evaluating data maturity and technical readiness to determine what is realistically implementable with current systems.
- Data maturity evaluation
- System readiness review
- Use case shaping
Week 03
Prioritization and Pilot Definition
Ranking use cases by impact vs effort and scoping the first pilot with defined success metrics.
- Impact vs effort ranking
- Prioritized use case stack
- Pilot scope defined
Week 04
Executive Readout, Investment Case, and Roadmap Sign-off
- Presenting the decision-ready roadmap to leadership with a clear investment case for the next phase.
- Executive readout
- Investment case delivery
- Roadmap sign-off
HOW WE HELP
Our Core Capabilities
From diagnosis to deployment — each capability is designed to move AI from ambition to execution at the right stage.
CUSTOMER STORIES
Our Thinking on AI Prioritization
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Book a Discovery Call
Start With Clarity. Then Decide What to Build.
A 30-minute conversation to assess fit and discuss your AI priorities. No sales pitch.
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What You Need to Know
Frequently Asked Questions
A standard AI strategy engagement produces a report. The Discovery Sprint produces a decision. It is a structured diagnostic process that maps workflows, assesses feasibility, ranks use cases by impact, and defines a pilot-ready scope before any build commitment is made.
Without a structured diagnostic process, engineering effort tends to get directed at workflows that look like the problem but aren't. The Discovery Sprint establishes where AI will actually move the business before any build commitment is made, so investment goes toward the right problems from the start.
The engagement delivers a prioritized set of AI use cases ranked by business impact, a defined pilot scope with success metrics, and an investment case structured for leadership sign-off. It also defines what not to build, which is as valuable as what to pursue.
DARE is a diagnostic sequence, not a facilitated session. It produces a ranked use case stack, a feasibility assessment, and a pilot-ready scope with a defined investment case. The output is something leadership can act on immediately, not a set of ideas that still need evaluation.
Every element of the Discovery output is tied to a specific decision. Use cases are ranked by impact and feasibility, the pilot scope comes with defined success metrics, and the investment case is structured for leadership sign-off. There is nothing in the output that requires further evaluation before acting on it.
The engagement is run directly with business and functional stakeholders, not delegated to delivery teams. If leadership is unwilling to participate in the process, we are typically not the right fit.
The Discovery output directly defines the scope of the next stage. If a clear pilot opportunity is identified, the AI Pilot Program follows, scoped from the Discovery output. Transformation is only initiated after the pilot has demonstrated measurable ROI. Each stage is validated before the next begins.
It is designed for organizations that want to make a validated decision before committing engineering effort. If the goal is to directly outsource development or experiment without defined business outcomes, the Discovery Sprint is not the right starting point.
The Discovery Sprint is time-bounded and fixed in scope. There is no ongoing billing and no ambiguity about what gets delivered. It is a defined input with a defined output, not an advisory relationship.
The issue in this situation is rarely a lack of activity. It is that existing initiatives are not clearly tied to business outcomes or on a path to scale. The Discovery Sprint provides the prioritization layer that is missing.