StakforgeLet's Talk

Applied research + technology delivery

From scattered systems to intelligent products.

Stakforge studies how information, decisions, and work move through an organization—then designs the AI, data, and software systems that help people coordinate, decide, and act with greater intelligence.

Explore our work Build What’s Next
Operating system / reference architectureData becomes context, action, and evidence
System map / traceable
Data becomes context, action, and evidenceERP, CRM, Documents, Events connect through Orchestration to produce Application • Workflow • Decision • Audit trail. Controls and feedback preserve trust and improve the system over time.01 / SOURCE PLANE02 / CONTEXT PLANE03 / INTELLIGENCE04 / OPERATIONSnormalizegroundgovernERPtransactionsCRMcustomersDocumentsknowledgeEventsoperationsIdentitypermissionsEntity graphrelationshipsSemantic layershared meaningQuality + lineagetrust controlsOrchestrationdecide • route • executeApplicationuser experienceWorkflowsystem actionDecisionsignal + reasonAudit trailevidence
01 / SourcesERP • CRM • Documents • Events
02 / ContextIdentity • Entity graph • Semantic layer • Quality + lineage
03 / OrchestrationOrchestration
04 / OperationsApplication • Workflow • Decision • Audit trail

Experience across complex operating environments

HealthcareInsuranceFinancial operationsProfessional servicesConstruction & Manufacturing

What we build

One practice across technology, behavior, and operations.

We connect strategy, data, software, AI, and organizational context so the final system changes more than the interface—it improves how the work happens.

01

AI & Intelligent Automation

Turn high-friction decisions and repetitive workflows into reliable, human-centered systems.

  • Enterprise assistants and RAG
  • Agentic workflows
  • Human review patterns
02

Data Platforms & Engineering

Connect fragmented source systems into dependable, observable data products.

  • Source integration
  • Pipelines and transformation
  • Warehouse and lakehouse architecture
03

Custom Software & Digital Products

Ship focused internal tools and customer products around the way work actually happens.

  • Internal applications
  • Client portals
  • Workflow systems
04

Business Intelligence & Decision Systems

Give leaders and operators a shared picture of performance, change, risk, and the next responsible action.

  • Executive intelligence systems
  • Operational analytics
  • Forecasting and scenarios
05

Cloud & Technology Modernization

Create a more reliable, adaptable technology foundation while keeping delivery moving.

  • Cloud architecture
  • Platform modernization
  • Integration strategy
06

Forward-Deployed Technology Leadership

Provide fractional or interim leadership, build the internal technology function, and represent the client's interests through complex programs and transitions.

  • Fractional CIO / CTO leadership
  • Technology department building
  • Client-side program leadership
Explore all capabilities

Complex work travels across industries.

Map the system. Test what matters. Build what holds up in the field.

See how we work

Selected client work

Built for real organizations and real operating environments.

Revenue cycle / decision intelligenceOne performance story. Three decision lenses.
Revenue-cycle decision fieldFour source domains converge in a governed claims-and-payments model; executive, manager, and analyst views branch from it, with feedback from decisions to operations.PAYER PORTALSPM SYSTEMSCLEARINGHOUSEWORK QUEUESSHARED METRICSClaims +paymentsEXECUTIVEPortfolioMANAGERQueue actionANALYSTRoot cause
Illustrative system model / anonymized engagement
Healthcare RCM companyHealthcare, revenue cycle

A full-suite analytics platform for revenue cycle management

Unified dashboards, governed metrics, and ML-powered early warning signals gave an RCM company a single performance story for both internal leaders and client reporting.

Analytics PlatformsHealthcareRevenue Cycle
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Healthcare payer / typed ontologyTrace the feature back to the entity.
Payer feature lineageA member-centered ontology links coverage, claims, providers, and encounters to three candidate feature families, then applies quality and access controls before authorized use.COVERAGECLAIMMEMBERENCOUNTERPROVIDERUTILIZATIONRISKCARE GAPSQUALITY + ACCESS GATEAUTHORIZED TEAMS
Illustrative system model / anonymized engagement
Regional healthcare payerHealthcare, payer

Building an ML-ready data foundation for a healthcare payer

Conformed entities, reusable features, and hardened pipelines reduced model setup friction and increased trust in analytics across regulated healthcare workflows.

Data EngineeringHealthcareML Foundation
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INSURANCE / DATA LANDSCAPEFrom fragmented streams to governed domain productsIllustrative model / anonymized engagement
Insurance data as a governed landscapeIllustrative, anonymized insurance lineage. Policy administration, claims, billing, and broker sources enter incremental capture. A canonical model relates policy, coverage, exposure, claim, and reserve. Tests, freshness monitoring, and release approval govern reusable data products for underwriting, claims, actuarial, and finance. Data operations use alerts, runbooks, promotion, and rollback.01 / FRAGMENTED SOURCES02 / CANONICAL INSURANCE MODEL03 / GOVERNED RELEASEPolicy adminClaimsBillingBrokerINCREMENTALCAPTUREPolicyCoverageExposureClaimReservehashas claimcovershas reserveQUALITY GATEtest · freshnessrelease approvalUnderwriting1Claims2Actuarial3Finance4REUSABLE DOMAIN PRODUCTSOPERATIONS LOOPFreshness · schema drift · failed dependenciesRELEASE DISCIPLINERunbooks · environment promotion · rollbackLINEAGE: SOURCE → ENTITY → TESTED PRODUCT → DECISION USEInsurance source-to-product lineageIllustrative, anonymized insurance lineage. Policy administration, claims, billing, and broker sources enter incremental capture. A canonical model relates policy, coverage, exposure, claim, and reserve. Tests, freshness monitoring, and release approval govern reusable data products for underwriting, claims, actuarial, and finance. Data operations use alerts, runbooks, promotion, and rollback.SOURCESONTOLOGYPRODUCTSPPolicyCClaimsBBillingRBrokerMODELPolicyClaimTEST + RELEASEUnderwritingActuarialOBSERVE FRESHNESS / DRIFT / FAILED DEPENDENCIES
Trace / source to entityControl / test and releaseUse / shared domain products
Regional commercial insurerInsurance

Shipping a modern data platform for a commercial insurer

A modern ingestion, transformation, and observability stack replaced brittle extracts with a durable policy and claims data foundation.

Data EngineeringInsuranceLakehouse
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View all work

Start with the hard part

Bring us the product idea, broken workflow, or data problem.

We’ll help determine what to build, how to build it, and what it will take to make it work in your environment.

Build What’s Next