AI Discovery

Our AI Discovery Service helps you identify your most valuable AI opportunities and develop an implementation roadmap that delivers tangible business impact. Instead of pursuing AI for its own sake, we take a systematic approach to identify where AI can create the greatest value for your organization.

4 - 6 Week Assessment

AI Discovery

Our AI Discovery Service helps you identify your most valuable AI opportunities and develop an implementation roadmap that delivers tangible business impact. Instead of pursuing AI for its own sake, we take a systematic approach to identify where AI can create the greatest value for your organization.

4 - 6 Week Assessment

AI Discovery

Our AI Discovery Service helps you identify your most valuable AI opportunities and develop an implementation roadmap that delivers tangible business impact. Instead of pursuing AI for its own sake, we take a systematic approach to identify where AI can create the greatest value for your organization.

4 - 6 Week Assessment

Service Overview

Service Overview

Deliverables

Comprehensive Assessment Report: Detailed documentation of your current state, AI opportunities, data readiness, and implementation considerations 

Prioritized Opportunity List: Ranked AI initiatives based on business impact, implementation complexity, and strategic alignment 

Data Readiness Assessment: Evaluation of your data landscape with recommendations for addressing gaps and quality issues 

Implementation Roadmap: Phased approach to AI adoption with clear milestones and dependencies 

Business Case Frameworks: Templates and initial ROI calculations for priority initiatives 

Service Overview

Deliverables

Comprehensive Assessment Report: Detailed documentation of your current state, AI opportunities, data readiness, and implementation considerations 

Prioritized Opportunity List: Ranked AI initiatives based on business impact, implementation complexity, and strategic alignment 

Data Readiness Assessment: Evaluation of your data landscape with recommendations for addressing gaps and quality issues 

Implementation Roadmap: Phased approach to AI adoption with clear milestones and dependencies 

Business Case Frameworks: Templates and initial ROI calculations for priority initiatives 

Goals

Identify high-ROI AI opportunities within your organization 

Assess your data readiness for AI initiatives 

Create a prioritized implementation roadmap based on impact and feasibility 

Align AI initiatives with your business objectives and metrics 

Build business cases for priority opportunities 

Key Success Factors

Executive Sponsorship: Active engagement from leadership to ensure strategic alignment and resource commitment 

Cross-Functional Participation: Input from business, IT, and data stakeholders to ensure comprehensive assessment 

Data Transparency: Willingness to share insights about data quality, accessibility, and governance challenges 

Process Knowledge: Access to subject matter experts who understand current processes and business objectives 

Strategic Alignment: Clear understanding of business priorities and strategic initiatives to ensure AI investments deliver maximum value 

Methodology & Timeline
Week 1 - 2
Initial Assessment
  • Stakeholder interviews and process mapping sessions 

  • Data landscape review and preliminary assessment 

  • Business objective alignment and KPI identification 

Week 3 - 4
Deep Dive Analysis
  • Process inefficiency and enhancement potential analysis 

  • Detailed data quality and readiness assessment 

  • Quick-win opportunity identification and prioritization 

Week 5 - 6
Roadmap Development
  • Business case development for priority initiatives 

  • Implementation roadmap creation with dependencies 

  • Final report preparation and recommendations refinement 

Week 6
Final Presentation
  • Executive presentation of findings and recommendations 

  • Stakeholder alignment on priorities and next steps 

  • Transition planning to implementation phase 

When to Opt for This Service
Organizations New to AI

You're considering AI adoption but unsure where to start

You want to avoid costly mistakes and focus on high-value use cases

You need to build internal alignment around AI strategy and priorities

Oraganizations with Failed AI Initiatives

Previous AI projects failed to deliver expected value

You need a more structured approach to AI opportunity identification

You want to rebuild momentum and confidence in AI initiatives

Organizations Looking to Scale AI

You've had some AI successes but struggle to identify the next wave of opportunities

You need a more systematic approach to prioritizing AI investments

You want to move from isolated AI projects to enterprise-wide adoption

Organizations Undergoing Digital Transformation

AI is a key component of your broader digital strategy

You need to align AI initiatives with other transformation efforts

You want to ensure AI investments deliver maximum business impact

Organizations New to AI

You're considering AI adoption but unsure where to start

You want to avoid costly mistakes and focus on high-value use cases

You need to build internal alignment around AI strategy and priorities

Oraganizations with Failed AI Initiatives

Previous AI projects failed to deliver expected value

You need a more structured approach to AI opportunity identification

You want to rebuild momentum and confidence in AI initiatives

Organizations Looking to Scale AI

You've had some AI successes but struggle to identify the next wave of opportunities

You need a more systematic approach to prioritizing AI investments

You want to move from isolated AI projects to enterprise-wide adoption

Organizations Undergoing Digital Transformation

AI is a key component of your broader digital strategy

You need to align AI initiatives with other transformation efforts

You want to ensure AI investments deliver maximum business impact

Organizations New to AI

You're considering AI adoption but unsure where to start

You want to avoid costly mistakes and focus on high-value use cases

You need to build internal alignment around AI strategy and priorities

Oraganizations with Failed AI Initiatives

Previous AI projects failed to deliver expected value

You need a more structured approach to AI opportunity identification

You want to rebuild momentum and confidence in AI initiatives

Organizations Looking to Scale AI

You've had some AI successes but struggle to identify the next wave of opportunities

You need a more systematic approach to prioritizing AI investments

You want to move from isolated AI projects to enterprise-wide adoption

Organizations Undergoing Digital Transformation

AI is a key component of your broader digital strategy

You need to align AI initiatives with other transformation efforts

You want to ensure AI investments deliver maximum business impact

Service Requirements
Time Commitment

Executive Sponsor: 3-4 hours (kickoff, mid-point check, final review)

Business Stakeholders: 6-8 hours (interviews, workshops, review sessions)

IT/Data Teams: 8-10 hours (data assessment, process reviews, technical validation)

Subject Matter Experts: 4-6 hours (process understanding, opportunity validation)

Information Access Needed

Business strategy and objectives documentation

Process documentation and workflow diagrams

Access to key stakeholders across business functions

Sample data sets for quality assessment (no PII required)

Previous analytics and AI initiative documentation (if available)

IT architecture and data infrastructure information

Time Commitment

Executive Sponsor: 3-4 hours (kickoff, mid-point check, final review)

Business Stakeholders: 6-8 hours (interviews, workshops, review sessions)

IT/Data Teams: 8-10 hours (data assessment, process reviews, technical validation)

Subject Matter Experts: 4-6 hours (process understanding, opportunity validation)

Information Access Needed

Business strategy and objectives documentation

Process documentation and workflow diagrams

Access to key stakeholders across business functions

Sample data sets for quality assessment (no PII required)

Previous analytics and AI initiative documentation (if available)

IT architecture and data infrastructure information

Time Commitment

Executive Sponsor: 3-4 hours (kickoff, mid-point check, final review)

Business Stakeholders: 6-8 hours (interviews, workshops, review sessions)

IT/Data Teams: 8-10 hours (data assessment, process reviews, technical validation)

Subject Matter Experts: 4-6 hours (process understanding, opportunity validation)

Information Access Needed

Business strategy and objectives documentation

Process documentation and workflow diagrams

Access to key stakeholders across business functions

Sample data sets for quality assessment (no PII required)

Previous analytics and AI initiative documentation (if available)

IT architecture and data infrastructure information

Next Steps in Your AI Journey

The AI Advisory Service provides the strategic foundation for your AI transformation. Based on the roadmap and frameworks developed, we can help you move forward with: 

  • AI Discovery Service - For organizations that need to identify specific high-value AI opportunities before developing a broader strategy 

  • AI Solution Development - Implement high-priority use cases with custom AI models, MLOps, and integration services 

  • Data Foundation Services - Address data quality, integration, and governance issues identified during discovery 

  • Data & AI Talent Services- Access specialized expertise and develop internal capabilities identified in your strategy 

Ready to discover your most valuable AI opportunities? Contact us to schedule your AI Discovery engagement.