Enterprise AI Strategy
AI adoption planning grounded in workflow and systems-of-record reality: where agents belong, what governance is required, and how to defend ROI with line-of-business owners.
Advisory
Diagenic AI advises investors, founders, and enterprise technology leaders on decisions where workflow platforms, systems of record, partner ecosystems, and services economics actually change business outcomes.
What We Do
Engagements are partner-led, scoped with care, and built for judgment rather than volume.
Workflow Modernization
Phased deployment planning across inference, orchestration, and action layers, connecting fast AI work to slower enterprise control systems without theater.
Partner Ecosystem Strategy
GSI/SI program design, field alignment, and commercial motions that get direct sales, partners, and delivery teams moving toward the same customer outcome.
PE Diligence & Value Creation
Commercial diligence, target validation, and value-creation support for AI services and enterprise software assets. The work tests revenue quality, delivery margin, and whether AI actually changes economics.
Implementation Strategy
Operating readiness, go-to-market alignment, and capability buildout for services firms scaling beyond founder-led delivery into repeatable platform plays.
AI Governance Advisory
Control models for production agents: evidence, policy, interoperability, security review, and the operating capability required once AI touches real workflows.
How Engagements Work
Diagenic is not a staff-augmentation shop. The work starts with the business outcome that matters: customer impact, ROI, delivery margin, risk, or decision quality. Then it works backward through the technology lever and organizational friction around it.
Typical engagements include diligence support for transactions, operating model design for services firms, partner ecosystem diagnostics, and executive pathfinding on enterprise AI adoption. Scope is explicit, timelines are practical, and deliverables are built for the people who own the numbers.
Without customer impact and ROI, the technology discussion is mostly theater.