A validated AI Use Case Portfolio
Each candidate use case specified to the depth required for budget approval, SOW drafting, or RFP issuance.
AI Accelerator
AI Roadmap
Turn a pile of candidate AI use cases into a sequenced, budget-ready plan.
Most organizations don't have an AI strategy problem. They have an AI prioritization problem. Leaders are surfacing use case ideas from every department, vendors are pitching the next transformational platform, and the organization is trying to decide which of thirty candidate initiatives deserve real investment. AI Roadmap is the accelerator that converts that noise into a structured, defensible plan. In four to six weeks, Spruce validates and prioritizes your candidate use cases, scores each against a multi-dimensional framework, and delivers a phased roadmap with the specificity your finance, technology, and business leaders need to commit budget and begin execution.
What the AI Roadmap engagement produces
At the end of AI Roadmap, you have three things you didn't have before:
A phased AI Roadmap
A sequenced implementation plan, with dependencies mapped and aligned to your budget calendar.
Organizational alignment
A shared, evidence-based view across business, technology, and operations on what to do first, what to do next, and what not to do at all.
Engagement scope
Use case identification and validation
Surfacing candidates from business leaders, technology teams, and operational owners; screening each for strategic fit and feasibility.
Prioritization and feasibility assessment
Scoring every validated use case against the six-dimension framework described below.
Phased roadmap development
Sequencing prioritized use cases into implementation waves with dependencies, resource requirements, and rough-order-of-magnitude investment estimates.
Budget-ready specifications
Each top-priority use case specified to a level that supports budgetary approval and SOW or RFP drafting, whether the delivery team is Spruce, yours, or another vendor's.
The three-phase process
AI Roadmap is structured as a four-to-six-week engagement across three phases. Each phase ends with a validation session so your stakeholders stay aligned as the roadmap takes shape:
Phase 01
Use Case Identification and Validation (1 to 2 weeks)
Discovery workshops, stakeholder interviews, and review of existing candidate lists. We pressure-test each candidate against strategic fit, data availability, and organizational sponsorship.
Phase 02
Prioritization and Feasibility (1 to 2 weeks)
Scoring against the six-dimension framework; feasibility checks on data, model, and integration paths; risk and compliance review.
Phase 03
Roadmap Development (1 to 2 weeks)
Sequencing, dependency mapping, rough-order-of-magnitude estimation, and drafting of use case specifications; final stakeholder working session and executive presentation.
The prioritization framework
Every candidate use case is scored across six dimensions. The framework is designed to make tradeoffs visible, not to collapse them into a single score:
- Business impact — the magnitude of the outcome the use case is expected to produce, in the terms your organization measures.
- Technical feasibility — model maturity for the problem type, data availability and quality, and integration complexity.
- Organizational readiness — sponsorship, change-management effort, skills and roles required, and operating-model implications.
- Time-to-value — how quickly a working version of the use case can be in production delivering measurable value.
- Risk — regulatory, reputational, and operational exposure; includes responsible-AI, privacy, and security considerations.
- Cost — end-to-end investment, including build, infrastructure, integration, change management, and ongoing operations.
Deliverables
AI Use Case Portfolio
Every validated candidate with scored prioritization, data and integration profile, and recommended next step.
Phased AI Roadmap
A time-based plan with implementation waves, dependencies, resourcing, and funding guidance.
Visual prioritization matrix
Impact versus feasibility view that leaders can use directly in board and executive conversations.
Budget-ready use case specifications
Top-priority use cases specified in enough depth to support budgetary approval, SOW drafting, or RFP issuance.
Rough-order-of-magnitude investment estimates
Tied to your budget calendar and to the phased roadmap.
Best for
- Organizations with a pile of candidate use cases and no structured way to prioritize them.
- Leaders preparing a funding request or multi-year AI investment case.
- Executives inheriting an AI program that has sprawled and needs to be re-sequenced.
- CIOs and CDOs balancing AI investments against other competing modernization priorities.
- Organizations considering an RFP or large vendor selection and needing defensible use case definitions first.
Who you'll work with
AI Roadmap engagements are led by a senior Spruce advisor with hands-on experience delivering AI in production. The core team typically includes a lead advisor, a solution architect who can pressure-test technical feasibility, and a domain specialist for your industry. For larger portfolios, we add a second advisor to run parallel discovery streams.
Ready to move forward?
Every Spruce engagement begins with a short conversation about your goals, constraints, and timeline.