Modern Gravity is generally availableBlog ↗
Seen, but not chosenNational moving and storage companyYour AI problem may not be an AI problem.
The model is often the easiest part.
The harder problems are the definitions, data, ownership, governance, operating context, architecture, and decision processes underneath it.
Foundation is a structured engagement to find those gaps, fix the ones that matter, and leave you with an operating layer your teams and AI can actually use.
Defined scope. Named deliverables. 90-day operating horizon where applicable.
Call Foundation when the AI pilot works in the demo and breaks in the business.
Everyone has a different definition of the KPI.
Important operating knowledge lives in people's heads.
Agents can access data but cannot understand company context.
Governance exists as policy documents, not enforceable operating rules.
Your AI roadmap is a collection of pilots without a shared control layer.
Three engagements. Each ends with something you can operate.
- 01
Foundation Diagnostic
Question: What is actually preventing trusted AI from scaling here?
Deliver- Current-state assessment
- Prioritized constraints
- Target architecture and operating posture
- Ranked 90-day roadmap
- Owners
- Investment sequence
Best for: Uncertainty.
Start with a Diagnostic → - 02
Foundation Build
Question: Can we stand up the missing governed layer?
Deliver- Business knowledge structure
- Certified KPI and metric registry
- Ontology, entities, relationships
- Source authority
- Fiscal and operating logic
- Decision registry
- Agent policies
- Governance workflow
- COE and ownership model
- Selected integrations
Best for: A known gap and missing infrastructure.
Scope a Build → - 03
Foundation Operationalize
Question: How does this become part of how the business operates?
Deliver- Production rollout
- Certification cadence
- Control processes
- Monitoring
- Adoption
- Operating governance
- Connection to Gravity and Agentic BI where appropriate
Best for: Moving from build to sustained operation.
Talk about operationalization →
The engagement should leave your company stronger without us.
We are not selling dependency. We are building the layer your company needs to operate.
- 01Business context layerCompany-owned.
- 02Metric registryNamed owners and certified definitions.
- 03Decision and policy registryVersioned and auditable.
- 04Reference architectureVendor-neutral where possible.
- 05Operating modelNamed roles, cadence, controls.
- 0690-day execution plan and implementation evidencePrioritized and measurable.
Foundation does not replace the products. It gets the enterprise ready to use them.
- 01FoundationGoverned context · definitions · data · policy · operating model
- 02GravityVerified answer infrastructure
- 03Agentic BIDecision-consumption layer
Discovery and Friction connect where relevant.
Built from the problems we had to own inside the enterprise.
- 5
- Major enterprises
- Carter's · NCR · Citrix · TracFone · Verizon
- $250M
- Profitability impact
- attributed to AI-powered commercial analytics
- $7B
- Business scale
- analytics and FP&A supporting growth from about $1.5B to $7B in revenue
- 2×
- Delivery throughput
- from an operating-model redesign
- 80% reporting-estate reduction
- 200 to 300 analysts enabled
- Enterprise applications, planning, and governance ownership
The people scoping the engagement have lived with the consequences of enterprise architecture and operating-model decisions.
You do not need to commit to the transformation to diagnose it.
Start with a Foundation Diagnostic. Every Diagnostic defines:
- · Scope
- · Interviews and inputs
- · Deliverables
- · Duration
- · A fixed or bounded commercial structure where possible
- · A decision gate at completion
Build only if the evidence says the gap is worth fixing.
Ownership stays with you.
What we build is yours: the context layer, the registry, the operating model.
Reference architecture is vendor-neutral where possible.
Everything we build stays reusable if Modern AI is no longer involved.
Start with the problem underneath the problem.
Three products. Structured Services. One Truth Layer. Discovery (live). Gravity (GA), with Agentic BI built on it. Friction (GA). Modern Foundation (Structured Services).