Research Service
AI & Digitalization Research
Industry-specific AI intelligence grounded in real industrial use cases, validated by practitioners, and focused on what actually works in your specific industry.
Published author on 'Intelligent Energy: Cognitive AI' (SAE International) -- not just researching AI, building it
Built AI workflows at Accuris including semantic search and knowledge extraction
Focus on what actually works in industrial environments, not what sounds impressive in demos
Grounded in regulated industry realities -- AI governance, auditability, and compliance
Our Methodology
AI Readiness Assessment and Use Case Inventory
Evaluate current digital maturity and catalog potential AI use cases across operations, engineering, and business functions.
Vendor and Technology Landscape Analysis
Map the relevant vendor ecosystem, comparing capabilities, pricing, deployment models, and real customer references.
Practitioner Validation
Validate findings against real industrial deployments through our practitioner network, separating vendor claims from operational reality.
ROI Modeling and Implementation Prioritization
Build business cases with realistic ROI projections and prioritize use cases by value, feasibility, and organizational readiness.
Strategic Recommendations with Risk Assessment
Deliver actionable recommendations including implementation risks, governance requirements, and change management considerations.
What We Deliver
Industry-specific AI use case identification and ROI prioritization
AI vendor landscape mapping for niche applications
GenAI impact assessments by function and industry
Digitalization maturity benchmarking against peers
Industrial AI adoption studies
AI ethics and governance frameworks for regulated industries
Who It's For
CIOs and CTOs evaluating enterprise AI investments
Innovation teams tasked with piloting AI/ML in operations
Engineering leaders exploring GenAI for technical documentation
Board members requiring AI strategy briefings
Expected Outcomes
Validated AI Use Case Portfolio
A ranked portfolio of AI use cases prioritized by ROI and feasibility, grounded in evidence from real deployments.
Vendor Shortlists Based on Evidence
Vendor shortlists based on real deployment evidence, not marketing materials or analyst quadrants.
Digital Maturity Benchmarks
Objective benchmarking of your digital maturity against industry peers with specific improvement recommendations.
Realistic Implementation Timelines
Honest, realistic implementation timelines not driven by vendor hype or unrealistic expectations.
Illustrative Projects
AI Use Case Prioritization
Identifying high-value AI applications in downstream operations
GenAI Impact Assessment
Evaluating GenAI applications for engineering documentation and quality processes
Digital Maturity Benchmarking
Benchmarking digital capabilities against 12 industry peers
Engagement Models
AI Strategy Brief
Rapid assessment of AI opportunities and risks tailored to your industry and operational context.
2 weeks
Comprehensive AI Study
Deep-dive research covering use cases, vendors, ROI modeling, and implementation roadmap.
4-8 weeks
Quarterly AI Intelligence Retainer
Ongoing monitoring of AI developments, vendor movements, and emerging use cases relevant to your industry.
Ongoing quarterly
Key Focus Areas
Interested in AI & Digital?
Every engagement starts with a free diagnostic call. Tell us about your research needs and we'll scope a bespoke engagement.
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