Value
What could this create?
- Revenue potential
- Productivity
- Cost reduction
- Customer value
- Speed
- Quality
- Staff leverage
- Strategic importance
GRANDC AI DECISION SPRINT
A focused executive engagement for organizations that need clarity on an important AI decision.
The GRandC AI Decision Sprint helps leadership identify which AI opportunities deserve attention, evaluate their potential value and exposure, assess readiness, and determine what should happen next — within a defined scope and timeline.
Value + Exposure + Readiness → Decision
Signals
Opportunities
Evaluation
Decision
DESIGNED TO REACH A DECISION
Designed to reach a decision
The Sprint is built around a specific executive decision. Scope, stakeholders, priorities, and outputs are defined from the outset so the work stays focused on what materially affects that decision.
Focused scope. Defined timeline. Accountable judgment. Clear next steps.
01 / WHERE YOU ARE
You do not need to have AI figured out before you call us.
The Sprint is designed for companies at different stages of AI adoption. The common requirement is not technical maturity — it is that leadership faces a meaningful AI decision.
You know AI may matter, but you are not yet clear where it can create enough value to justify attention or investment.
Different starting points. One decision process.
02 / THE DECISION
The question is not “Should we use AI?”
The question is where, why, and under what conditions.
AI creates many possible applications, but not every opportunity deserves investment. Leadership needs a disciplined way to distinguish meaningful business value from experimentation, vendor pressure, competitive anxiety, or technology hype.
- 01Where can AI create meaningful value?
- 02Which opportunities are worth pursuing?
- 03What risks or governance conditions matter?
- 04What needs to be true before we proceed?
03 / THE DECISION MODEL
Every priority opportunity is evaluated through value, exposure, and readiness.
Exposure
What comes with the decision?
- Data and privacy
- Operational consequences
- Customer impact
- Third-party dependency
- Technology uncertainty
- Regulatory exposure
- Reputation
- Implementation risk
Readiness
Can the organization execute it well?
- People
- Ownership
- Process
- Technology
- Controls
- Data
- Vendor capability
- Evidence
Decision
PursueExploreConditionalDeferAvoid
The objective is not to eliminate risk. It is to determine whether the value justifies the exposure and whether the organization is ready to proceed.
04 / THE ENGAGEMENT
A focused path from business question to executive decision.
- 01
Discover
Clarify the business objective, decision question, and strongest opportunities.
Where could AI create meaningful value?
- 02
Evaluate
Compare potential value, feasibility, exposure, and dependencies.
Which opportunities deserve deeper consideration?
- 03
Decide
Determine what to pursue, explore, condition, defer, or avoid.
What is actually worth doing?
- 04
Govern
Clarify ownership, oversight, controls, and evidence requirements.
What needs to be true before we proceed?
- 05
Act
Set priorities, owners, next actions, and decision gates.
What should leadership do next?
05 / THE OUTPUT
One Executive AI Decision Package.
Not a generic AI strategy deck. Not a transformation report.
GRandC / EXECUTIVE ADVISORYDECISION PACKAGE
Business & AI Context
What the organization is trying to achieve and where AI may be relevant.
AI Opportunity Landscape
A structured view of potential opportunities.
AI Decision Portfolio
The priority opportunities, decision states, and rationale.
Governance & Accountability
Who should own material decisions and where oversight is required.
Conditions to Proceed
The governance, control, readiness, evidence, or implementation requirements associated with priority opportunities.
90-Day Action Roadmap
Clear actions, owners, priorities, dependencies, and next decision points.
Leadership brief · Decision portfolio · 90-day action path
06 / THE DECISION ROOM
The Sprint ends with a decision session — not a report presentation.
The engagement concludes with a focused executive discussion to confirm the decision, its conditions, ownership, and clear next steps.
| Value | What creates the strongest business value? |
|---|---|
| Priority | What should we prioritize? |
| Boundaries | What should not proceed? |
| Conditions | What requires additional evidence or control? |
| Ownership | Who owns the next steps? |
| Review | What should be revisited later? |
07 / FOCUSED BY DESIGN
Bounded from the outset.
10
business days, approximately
- Defined duration: approximately 10 business days
- Defined scope: one decision question and limited priority opportunities
- Defined participants: an executive sponsor and agreed stakeholder group
- Defined outputs: Executive AI Decision Package and Executive Decision Session
A defined advisory period, decision question, stakeholder group, priority opportunities, and outputs keep the engagement proportionate.
DiscoverEvaluateDecideGovernAct
08 / WHEN THE SPRINT FITS
Common reasons companies engage GRandC.
“We know AI matters, but we do not know where to start.”
“We have several AI ideas and need to decide where to invest.”
“We have identified a use case but are unsure what needs to be in place first.”
“We are already using AI and need to decide what should scale.”
09 / CLEAR BOUNDARIES
Senior advisory — not outsourced implementation.
- Software development
- Implementation ownership
- Legal advice
- Certification
- Enterprise-wide transformation
- 24/7 operational support
GRandC structures and advises the decision. Management retains responsibility for business decisions and implementation.
10 / AFTER THE DECISION
Deeper support only where the decision requires it.
Governance & Control Design
Accountability, selected policies, decision rights, vendor governance, human oversight, and controls.
Evidence & Validation Support
Testing, validation, documentation, governance evidence, and human-review evidence.
Decision Implementation Support
Governance checkpoints, readiness reassessment, vendor decisions, evidence review, and next-stage decision gates.
Additional work is scoped separately and only where a legitimate client need is identified.
12 / FIT
Designed for growing organizations where AI decisions are becoming consequential.
GRandC primarily works with US and Canadian organizations of approximately 30–200 employees, with a particular fit for businesses in the 50–150 employee range.
Typical executive counterparts: Founder / CEO · CTO / CIO · COO · General Counsel · Risk / Compliance.
A meaningful AI decision exists and leadership wants a structured basis for making it.
START WITH THE DECISION
What AI decision is your organization facing?
Whether you are trying to determine where AI fits, choosing between competing opportunities, preparing to implement a use case, or deciding what to scale, the first step is understanding the decision.
Discuss Your AI Priorities
A focused conversation to determine whether the AI Decision Sprint fits your situation.