Technical Decision Intelligence™ Services
Four assessments that eliminate guesswork from cybersecurity, AI development, and technology leadership decisions.
Every Assessment Uses the Same Rigorous 6-Step Methodology
All our services follow our proven Technical Risk Intelligence methodology: data-driven signal collection, proprietary scoring models, multi-client benchmarking, Monte Carlo simulation, and AI-enabled action tools. This unified approach enables portfolio-wide comparisons and consistent governance.
Learn About Our MethodologyCybersecurity Vendor & Cost Benchmarking
The Problem: Fear-based vendor selling distorts every security decision. Tool sprawl increases cost AND breach risk simultaneously. You're spending millions with zero objective visibility into whether you're overpaying, under-protected, or both. Your CIO says "we need this." Vendors claim "everyone in your industry has this." You have no way to verify either claim, and that information asymmetry is expensive.
The only quantitative, benchmarked, SOC2-aligned scoring system that cuts security spend while improving posture. Our 150-signal assessment quantifies exactly where you're overspending and where critical gaps exist. Multi-client benchmarking reveals what "good" actually costs. Consolidation roadmaps identify overlapping tools and redundant capabilities. Replace vendor FUD with objective scoring and peer-validated cost structures.
15-35%% cost reduction 48% lower breach likelihood 60% faster consolidation
Learn More AI Product Roadmap & Data Readiness
The Problem: AI failures are predictable, yet most organizations fund initiatives without understanding their data foundation is inadequate. Your team pitches impressive demos. Internal stakeholders lack alignment on priorities. You have no quantitative framework to predict cost, timeline, blockers, or success probability before committing capital. Most AI projects fail 18-24 months in when data quality, governance gaps, and infrastructure constraints surface after you've spent $2M-$8M.
Our 105-signal assessment quantifies AI readiness across five risk pillars: data maturity, infrastructure capability, organizational readiness, governance frameworks, and leadership alignment. Proprietary maturity scoring (0-3 scale) maps your current state. Stage-gated roadmaps sequence initiatives by dependency and risk. Monte Carlo simulation (5,000 scenarios) forecasts probability-based outcomes including cost ranges, timeline distributions, and success likelihood before you fund anything. Know which initiatives will succeed, which will fail, and exactly what must be fixed first.
80% reduction in failed AI spend 3x higher success rate 6-12 month faster deployment
Learn More CTO Leadership Assessment
The Problem: The #1 cause of CTO failure is misalignment between CEO expectations and technology leader capabilities, and traditional interviews cannot detect it. Candidates sound impressive in conversations. Resumes list relevant experience. You lack the technical depth to evaluate if they can actually execute at your company stage. Most CTOs excel at one phase but fail catastrophically at others. You discover the mismatch 12-18 months in, after burning $2M-$5M in salary, opportunity cost, and technical debt accumulation.
Our 120-signal assessment uses data, vector embeddings, and Monte Carlo simulation to remove bias and quantify fit. We map candidates to 8 CTO personas (statistical behavioral patterns of successful leaders at different company stages) based on your engineering maturity, product complexity, and growth trajectory. Quantified scoring across architecture capability, team-building effectiveness, and delivery track record. Simulation forecasts first-year outcomes and alignment probability. Know who fits before you make the offer.
50-70% mis-hire risk reduction 90% CEO/leader alignment 2X faster operational effectiveness
Learn More CIO Leadership Assessment
The Problem: The #1 cause of CIO failure is misalignment between CEO expectations and technology leader capabilities, and traditional interviews cannot detect it. IT costs spiral. Security incidents repeat. Legacy systems fail. You can't tell if your current CIO is the problem or if you need a different leadership persona entirely. Wrong CIO type means either over-engineering that burns cash or perpetual firefighting that destroys operational leverage. You discover the mismatch after 12-18 months of compounding dysfunction.
Our 115-signal assessment uses data, vector embeddings, and Monte Carlo simulation to remove bias and quantify fit. We map candidates to 7 CIO personas (statistical behavioral patterns of successful leaders at different company stages) based on your operational maturity, compliance requirements, and vendor complexity. Quantified scoring across IT cost management, security effectiveness, and infrastructure modernization capability. Simulation forecasts year-one cost impact and alignment probability. Plus a quantified roadmap for immediate value capture.
50-70% mis-hire risk reduction 90% CEO/leader alignment 2X faster operational effectiveness
Learn More For PE Firms: Technical Intelligence Creates Portfolio Value
Technical gaps discovered 6-12 months post-acquisition destroy 15-25% of value creation potential. Our assessments enable day-1 clarity, portfolio-wide benchmarking, and proactive governance. Learn more about PE value creation