From Broad GenAI Experiments to a Governed RFP Workflow
Moved broad enterprise AI experimentation into a private, source-grounded RFP workflow with defined acceptance criteria, evidence controls and accountable human review.
Selected work showing how high-stakes mandates were turned into clearer decisions, accountable execution and measurable operating evidence.
InteliGems Advisory helps boards, investors and executive teams determine whether they are facing an execution issue, a product issue or a weakening business thesis and carry that decision into operating change rather than leaving it as a recommendation.
Moved broad enterprise AI experimentation into a private, source-grounded RFP workflow with defined acceptance criteria, evidence controls and accountable human review.
Advisory work for orthopedic manufacturer board gate decisions to scale commitment. Prove buyer-specific business case economics, clinical workflow fit and sales interest under bundled payment risk.
Applied a custom case tagging framework for pinpointing evidence. 100K mixed records, deposition deadlines while keeping privilege, source traceability and legal counsel control. Curation cut first-pass from 42 days to 2.5 days.
Reset accountability, risk management, release discipline and KPI cadence to restore operating control in a high-stakes Medicaid environment.
Moved broad enterprise AI experimentation into a private, source-grounded RFP workflow with defined acceptance criteria, evidence controls and accountable human review.
Aligned account strategy, executive sponsorship, delivery dependencies and growth priorities around the customer’s operating requirements.
Aligned data architecture, workflow redesign, validation requirements, governance and delivery into a modernization path that preserved data integrity and auditability.
Redirected capital, team capacity, product work and GTM from a commoditizing meeting-intelligence market into private, governed AI for control-sensitive enterprise work.
Applied a private, evidence-linked workflow that automated retrieval and synthesis while preserving privilege, source traceability, and final legal determination with counsel.
Standardized screening and evidence assembly while preserving controlled sources, escalation thresholds, traceability and specialist decision authority.
Applied an AI-assisted evidence workflow to verify source-linked hits, remove false positives, and classify recurring bias mechanisms.
A $1M+ license rested on ~$300K of emergency dept. avoidance value. Four pathways expanded the modeled case to $1M–$5M+ a year, with a value model tool so buyer executives could test local assumptions. The practical tool opened doors for deeper enterprise sales conversations.
Built the commercialization path from market and buyer definition through proof-of-value design and sales execution.
Field research across five sites shifted the decision from digitizing every interaction to where digital change justified the interaction cost.
Commercialization under uncertainty: Military-tested IV platform, many plausible civilian markets, no clear beachhead. Compressed validation cycles to 30 days across 10 market segments and anchoring a $498M promising market. Validate which buyers will adopt, preserve capital for regulatory filings.
Combined clinical beta results, site-specific ROI models, and business-development evidence into a field-tested business case before advancing investment.
Structured buyer, use-case, persona, product-market-fit and sales-enablement decisions into a commercialization plan.
Led enterprise planning, delivery, execution and operating accountability across a $90M P&L and 1,100-person global team.
Built and led a 100+ employee healthcare technology company across mobile applications, SaaS products and professional services through exit.
Built a customized AI capability after general-purpose models did not meet the workflow’s accuracy and privacy requirements.