Not frameworks I read in a book. Frameworks I built inside twenty-five years of claims platform migrations, workforce enablement programs, AI transformations, and enterprise digital hubs. Every engagement runs on at least one of these.
Hover a methodology to preview. Click to expand. Click the center to reset.
The typical GGenesis engagement follows this arc. Every stop names which methodology is active, what gets produced, and how long it takes. No mystery.
Most consulting engagements end with a stack of decks and a client who cannot articulate what they bought. Named methodologies solve that. Each has a defined scope, a documented set of deliverables, and a measurable outcome. When a leadership team hires GGenesis, they know exactly which framework is running, what it will produce, and how success will be judged.
"I do the work. Then I name the work so the client can prove what changed."
Every operating dollar spent, mapped to the revenue behavior it produces.
Leaders make pricing, staffing, and workflow decisions with cost data on one side and revenue data on the other. The two sides never touch. Finance can tell you what payroll costs. Operations can tell you what claims volume produces. Nobody can tell you which operating dollar creates which revenue outcome, or which cost line is silently killing margin.
The Cost-to-Revenue Method™ maps each cost line to a specific revenue-generating behavior. Every operating dollar (labor, tools, vendors, overhead) gets assigned to a downstream revenue event (claim adjudicated, member enrolled, customer converted, contract renewed). The output is a decision layer that shows which spend produces which revenue at what ratio.
Every GGenesis consulting engagement runs Cost-to-Revenue Method™ analysis. It's the analytical framework baked into CaliberSuite™. It's the diagnostic layer inside the GGenesis CMM Diagnostic™ engagement. When a client tells me "we're spending too much on X" or "our margins are compressing," this is the first thing that runs.
Strategy becomes operational playbook. Every time. On a clock.
Strategy decks read like poetry. Operations teams need instructions. The gap between "here's the plan" and "here's exactly what my team does Monday morning" is where transformations die. Most consulting engagements produce a strategy deliverable and then leave the client to translate it themselves, which never happens.
The Operational Translation Sprint™ is a fixed 4-to-12-week engagement that takes a strategic direction and produces the operational playbook that makes it real. The sprint runs on weekly cadences with named deliverables at each week. No open-ended discovery. No "we'll get back to you." Every week produces something the operations team can use immediately.
Every consulting engagement runs on Operational Translation Sprint™ delivery cadence. Whether the underlying work is claims platform migration, AI strategy deployment, workforce transformation, or payer operations turnaround, the delivery structure is the same. That's why GGenesis engagements finish on time with documented outcomes.
Every technology change mapped to the workforce impact it will actually create.
Surprise kills adoption. Every failed platform migration, every stalled AI rollout, every technology-driven workforce shift has the same post-mortem: "the team was surprised." Change Impact Crosswalk™ prevents surprise by mapping every technology change to the workforce and process shifts it triggers, before the technology is deployed.
The Crosswalk™ takes each proposed change (system upgrade, new AI tool, workflow automation, org restructure) and maps it across four dimensions: what breaks in the current process, what new skills the workforce needs, what communications the leadership must send, and what readiness activities must happen before the change goes live. The output is a matrix that shows every downstream impact, quantified.
Change Impact Crosswalk™ runs on every platform migration engagement (HealthRules, GuidingCare, QNXT, FACETS), every AI deployment, every workforce transformation. It's why my $18M HealthRules migration hit go-live with zero critical defects and claims inventory sustained under 30 days · the workforce was ready before the technology was.
Adapted from public-domain capability maturity science. Built for owner-operators.
A five-pillar capability maturity diagnostic that measures where a business stands on AI readiness across the dimensions that actually matter. Applied inside the GGenesis CMM Diagnostic™ engagement (six weeks, scoped after fit call) and inside CaliberSuite™. Grounded in public-domain CMM research and industry-standard responsible AI principles.
AI vision tied to business outcomes, not shiny tools. Executive alignment. Roadmap horizon.
Ownership, quality, security, retention, and access controls. The unglamorous foundation.
The stack that fits your stage. Not someone else's template. Build, buy, or partner decisions.
Skills, roles, adoption, and change readiness. AI dies without the workforce ready to use it.
Policies, oversight, model risk, ethics committee, responsible AI principles applied.
Every GGenesis engagement runs on at least one named methodology. Most run on three or four stacked together. Here's the map.
| Engagement Type | CRM | OTS | CIC | 5-Pillar |
|---|---|---|---|---|
| GGenesis CMM Diagnostic™Six-week productized advisory | • | • | • | |
| Health Plan TurnaroundClaims, configuration, provider network, payer platform migration | • | • | • | |
| AI Transformation SprintStrategy plus deployment for founder-CEOs and executive teams | • | • | • | • |
| Workforce Enablement ProgramLearning academy design, SCORM curriculum, LMS deployment | • | • | ||
| CaliberSuite™ DeploymentAI executive advisor setup and calibration for a business | • | • | • | |
| AI Community MembershipOngoing self-service application of frameworks | • |
Attribution. The Cost-to-Revenue Method™, Operational Translation Sprint™, and Change Impact Crosswalk™ are original GGenesis Strategic Solutions™ intellectual property, developed over twenty-five years of enterprise operational leadership and used inside every client engagement. The GGenesis Five Pillars of AI Maturity™ is a productized adaptation of the Capability Maturity Model, originated at Carnegie Mellon University's Software Engineering Institute (public domain), and integrates the industry-standard Six Principles of Responsible AI drawn from NIST AI RMF, Microsoft Responsible AI Principles, and OECD AI Principles. No affiliation with, endorsement by, or use of proprietary intellectual property from any academic institution is claimed or implied.
30 minutes. Bring your operation, your bottleneck, and what you've already tried. I'll tell you honestly whether one of the four methodologies is the right fit, and which one.