Value
What could this create?
- Revenue potential
- Productivity
- Cost reduction
- Customer value
- Speed
- Quality
- Staff leverage
- Strategic importance
GRANDC AI DECISION SPRINT
Find where AI can create value. Decide what is worth pursuing. Know what happens next.
The GRandC AI Decision Sprint is a focused executive advisory engagement that helps growing organizations identify practical AI opportunities, prioritize the ones worth pursuing, understand the governance and risks involved, assess readiness, and build a clear action path.
For organizations exploring AI, prioritizing opportunities, preparing to adopt, or deciding what to scale.
Signals
Opportunities
Evaluation
Decision
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.
- 01What business problem are we actually trying to solve?
- 02Is AI the right solution?
- 03Which opportunities create enough value to matter?
- 04What exposure comes with the decision?
- 05Who owns the outcome?
- 06Are we ready to proceed?
- 07What should happen now?
03 / THE DECISION MODEL
Every 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
Understand business objectives, operating challenges, workflows, customer needs, existing AI use, and proposed opportunities.
Where could AI create meaningful value?
- 02
Evaluate
Compare the strongest opportunities. Assess business relevance, potential value, feasibility, exposure, and dependencies.
Which opportunities deserve deeper consideration?
- 03
Decide
Determine which opportunities should be pursued, explored, conditional, deferred, or avoided.
What is actually worth doing?
- 04
Govern
Clarify decision ownership, oversight, material risks, controls, human responsibility, and evidence requirements.
What needs to be true before we proceed?
- 05
Act
Translate decisions into priorities, owners, actions, dependencies, and next 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 final session is designed to help leadership reach clarity on what should proceed, what should wait, what requires conditions, and who owns the next actions.
| 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
Approximately 10 business days.
10
business days, approximately
- One executive sponsor
- 3–5 stakeholder conversations
- Bounded review of relevant business and technology information
- Analysis of 1–3 priority AI opportunities
- Executive AI Decision Package
- Executive Decision Session
The Sprint is intentionally bounded so that leadership can move from uncertainty to action without launching a large consulting program.
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.”
“Our customers are asking how we use and govern AI.”
“We already use AI and need to decide what should scale.”
09 / CLEAR BOUNDARIES
Senior advisory — not outsourced implementation.
- Software development
- AI deployment
- Systems integration
- Project management
- Staff augmentation
- Legal advice
- Regulatory representation
- Formal audit
- Compliance certification
- Conformity assessment
- Penetration testing
- Unrestricted model validation
- Large enterprise transformation
- Guarantees of outcomes
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.
11 / WHY GRANDC
AI strategy, governance, and risk should not be separate conversations.
- Strategy
- Is this worth doing?
- Governance
- Who owns it?
- Risk
- What could prevent success?
- Readiness
- Can we execute it well?
- Decision
- What should happen next?
The Sprint is powered by GRandC-5, GRandC Consulting’s proprietary Governance–Risk–Intelligence decision architecture.
UnderstandGovernDe-riskDecideAct
Clients receive the findings and recommendations produced through the methodology, not the proprietary methodology itself.
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.