Forensic pipeline diagnostics. Genomic pattern recognition. The structural layer between "we have the data" and "we can see what it's saying." 15+ years in enterprise GTM. Patent-pending IP. A consulting practice that takes data organizations already have and makes visible what it's actually saying.
Scored audits that process existing CRM data across 11 behavioral signals to surface the structural patterns, contradictions, and signals that dashboards and AI tools confidently skip right over. Deterministic scoring. Full audit trail. Built using multi-AI orchestration. Runs without it.
Eight years positioning FICO's decision management platform. Another fifteen across SAP, Autodesk, and B2B SaaS. I build GTM for companies where the technology is ahead of the story—positioning, competitive intelligence, sales enablement, and vertical expansion for buyers who know their stuff.
Working prototypes, production websites, Python-based analytical pipelines, and enterprise demo systems. The same AI-augmented methodology that produced patent-pending infrastructure, a published research report on financial services decisioning, and 10+ working products—available for client engagements.
Co-founded with Susie Stockholm. Built patent-pending organizational alignment technology, diagnostic methodologies processing real enterprise data across 11 behavioral signals, and a consulting practice delivering results now. Sunrise IP in active acquisition discussions.
Co-launched the award-winning FICO Platform (SaaS/PaaS), driving 20% increase in client engagement. Created the first end-to-end sales framework—battlecards, demo tools, competitive positioning—reducing conversion time 25%. Led vertical expansion generating $15M+ pipeline across insurance, manufacturing, and supply chain.
Strategic consulting for enterprise technology companies including FICO (PaaS/API launches) and Ollion (cloud/GenAI positioning with AWS Bedrock). Period during which all independent frameworks, working products, DI market research, and patent-pending technology were developed.
Pursuit management, sales enablement, and product marketing leadership across major enterprise technology companies. Foundation in competitive intelligence, complex stakeholder management, and the cross-functional execution that makes large organizations actually move.
Most people use AI like a fancy search engine. I treat it as infrastructure.
Multi-AI orchestration where each model is deployed for specific strengths—adversarial review, synthesis, research validation, build. Not one-off prompts. Deliberately built context architecture that compounds over time. Iterative co-creation with real-time correction, where human judgment drives strategy and AI extends reach.
The result: enterprise-quality output at startup speed. Technical architectures, market analyses, competitive frameworks, working prototypes, diagnostic pipelines—all with the strategic judgment that 20+ years of enterprise experience provides and the execution velocity that AI collaboration enables.
Not because AI replaces expertise. Because deep domain knowledge is the only thing that makes AI output trustworthy.
Organizational alignment infrastructure developed by two co-founders, no funding, no engineering team. AI-assisted deep work, not AI-generated filler.
Decision Terrain 2026—a Three Cs audit of where decision integrity breaks in financial services. Seven use cases, enforcement evidence, and a 15-question self-audit instrument. Quorum-validated methodology.
Different models for different strengths. Adversarial review across platforms. Cross-validation, not hope. Every major deliverable stress-tested from multiple angles.
Decision intelligence, AI governance, crisis management, enterprise diagnostics. Not concepts—functioning systems with real code behind them.
Co-founded with Susie Stockholm (30+ years executive search and organizational leadership). Casimira builds diagnostic methodologies that take data organizations already have and make visible what existing systems miss—the structural patterns, contradictions, and signals that dashboards and AI tools routinely skip over.
Our patent-pending technology (Sunrise—U.S. Application #63/910,632) detects organizational drift before it surfaces in lagging indicators. The Sunrise IP is in active acquisition discussions. The consulting practice is delivering results now.
Second annual edition—pivoted from vendor scorecard to architectural audit. Applies the Three Cs (Clarity, Coherence, Continuity) to seven high-stakes financial services use cases, grounded in enforcement actions and regulatory evidence. Identifies where even well-resourced, platform-enabled institutions are structurally exposed.
Co-authored with Susie Stockholm. Why Your Pipeline Can't Explain Itself — and What That's Costing You. Book One of the Decision Integrity Series. Also: strategic advisor at DecideWise (DI research firm). Published through DecideWise and The Deliverables on Substack.
Your pipeline metrics look confident. But can the decisions behind them explain themselves? Our forensic pipeline diagnostics process existing CRM data across 11 behavioral signals to surface what dashboards hide. Deterministic. Auditable. No AI in the engine.
Explore Casimira's diagnostics →Patent-pending organizational alignment infrastructure with a complete technical architecture, working diagnostic pipeline, and commercial proof points. The Sunrise IP represents a 12–18 month head start in a category with regulatory tailwinds.
Start a conversation →GTM strategy, positioning, competitive intelligence, and full-stack product development for B2B companies where the technology is ahead of the story. Multi-AI orchestration methodology, working diagnostic pipelines, and enterprise-quality output at startup speed—applied to your challenge.
Let's talk →The pattern recognition that finds structural drift in a sales pipeline is the same instinct that writes a novel about grief as recursive code or finds the right chord change at 5 AM. The creative work isn't separate from the professional work. It's the same practice.
A story about trauma as code that keeps running, and the courage to break the circuit. Companion soundtrack available on streaming.
Every lyric is mine. Every melody started in my head, at a piano, or hummed into a voice memo. AI helps realize arrangements I couldn't create alone—but the soul comes first. Released under Know Buddies on Apple Music.
Most of my career has been spent where enterprise technology meets the humans who have to trust it. Eight years at FICO positioning decision management platforms. Another fifteen across SAP, Autodesk, Deloitte, and B2B SaaS companies where the technology was always ahead of the market's ability to explain it.
After years helping enterprise teams explain platforms they didn't fully trust, I realized the real gap wasn't better positioning. It was the structural layer between "we have the data" and "now we trust it." That's when I stopped marketing other people's systems and started building my own.
Along the way, I wrote a psychological thriller, composed 350+ songs, co-founded an enterprise infrastructure company, and learned that the same muscle powers all of it—the ability to see what others miss. To make the invisible visible.
I live in Northern California. I believe the missing layer in enterprise AI isn't better models — it's decision integrity that scales.
Whether you need GTM strategy that ships, you're exploring strategic IP, or you believe the missing layer isn't more output — it's better ways to verify what the system is actually saying.