ONTOLOGY ACCELERATOR

Don't Start Your Ontology With a Blank Page.

Start with what your enterprise is already telling you.
RE-ViVE uses observed execution evidence to rapidly establish relationships across business processes, systems and supporting technology—giving ontology initiatives a practical foundation to validate and expand.
CRMSalesforceERPSAP • OracleWorkflowApprovals • TasksETLJobs • PipelinesCloudAzure • AWS • GCPAPIsServices • EventsJava ProgramsCustom ServicesDatabasesSaaS • Local • DWSchedulerFilesQueuesApprovalsTasksRE-ViVEObserved Enterprise RelationshipsSelected relationships emerge from execution evidence.BUSINESSEXECUTIONflows throughSYSTEMSusesTECHNOLOGYsupported bydepends onOBSERVECONNECTVALIDATEEXTEND
THE ENTERPRISE REALITY

Why Enterprise Ontologies Stall in Abstraction

Most ontology initiatives start by modeling how the enterprise is supposed to work. The harder problem is connecting that model to how work actually executes.
01

The Modeling Trap

The model describes how work is expected to happen.

Actual execution reveals the paths, retries, manual steps and exceptions that the model often misses.

INTENDEDOrderApprovalSettlementOBSERVEDOrderAPIQueueManual ReviewRETRYBatchSettlement
02

Disconnected Realities

Different teams see different parts of the same workflow.

Operations, engineering and architecture each have a valid view. The missing piece is the relationship between those views.

OPERATIONSDelay & ReworkSees delays, queues& rework.ENGINEERINGAPI & ComputeSees APIs, jobs& runtime behavior.ARCHITECTURESystem InventorySees applications& platforms.ONE WORKFLOW — ACTUAL EXECUTION1. Entry2. Process3. Validate4. Exception / Retry5. Complete"Every team diagnoses through their own lens. Nobody sees the connected runtime line."
03

The Actionability Gap

Static relationships explain what is connected.

Execution context adds what is happening now, what path was taken, what it depended on and where behavior changed.

STATIC RELATIONSHIPSCustomer (Entity)Order (Schema)Service (API)Database (Table)What is connected:Shows entities and relationships,but not what is happening now.EXECUTION CONTEXTOrder #1847STALLEDWorkflow:Order to CashCurrent State:Delayed — API retryActive Path:API → ERP → ReviewObserved:3 retries | manual review⚡Context for decisions, operations & AI:Shows path, state, dependency and change
THE RE-ViVE APPROACH

RE-ViVE Connects the Views.

RE-ViVE observes how a workflow actually runs across business activity, execution steps, systems and technology—and organizes that evidence into connected views.
● BUSINESS● EXECUTION● SYSTEMS● TECHNOLOGY
ONE WORKFLOW — AS IT ACTUALLY EXECUTESCustomer RequestBusinessDecisionExecutionAPISystemApplicationSystemApprovalExecutionQueueSystemServiceSystemOutcomeBusinessManual ReviewExecutionExceptionExecutionCloud JobTechnologyDatabaseTechnologyTHE SAME EXECUTION — ORGANIZED INTO CONNECTED VIEWSBUSINESSWhat outcome and value are being delivered?Customer RequestOutcome2 outcomes · 4 variantsEXECUTIONWhat paths, waits and rework actually occurred?DecisionApprovalManual ReviewException18% manual reviewSYSTEMSWhich platforms, services and APIs participated?APIApplicationQueueService4 systems · 1 retry pathTECHNOLOGYWhat technology resources were used?Cloud JobDatabaseEgress 4% · Compute 11%
FROM RELATIONSHIPS TO DECISIONS

RE-ViVE Gives the CIO Organization a New View of the Enterprise.

By connecting business execution to the systems and technology that support it, RE-ViVE helps CIO teams answer practical questions about cost, performance, dependencies, risk and modernization.
QUESTIONS RE-ViVE HELPS ANSWER
RATIONALIZATION

Technology Overlap

Which platforms provide overlapping execution capabilities across business units?

OPERATIONS

Workflow Dependency

Which systems and jobs are critical to an end-to-end business workflow?

FINOPS

Cost by Outcome

Where is technology cost accumulating across specific execution paths?

ARCHITECTURE

Redundancy

Where do duplicate jobs, data movements, or shadow platforms exist?

RELIABILITY

Performance

Which jobs or runtime dependencies are slowing down the workflow?

EFFICIENCY

Utilization

Which technology is heavily used, lightly used, or easily avoidable?

RISK & CHANGE

Change Impact

What business execution could be disrupted by an upcoming technology change?

MODERNIZATION

Consolidation

Where is there empirical evidence to retire, consolidate, or modernize platforms?

AI + EXECUTION CONTEXT

AI Can Discover the Enterprise. Execution Shows How It Actually Runs.

AI can accelerate the discovery of relationships across enterprise information. RE-ViVE adds the execution dimension—showing how those relationships are actually used across real transactions, paths, variants and outcomes.
AI-ASSISTED DISCOVERY

Discover the relationships.

AI can rapidly explore documents, code, schemas, APIs, metadata and logs to identify and connect likely relationships across the enterprise.

A faster starting point for building enterprise context.
AI-assisted discovery of enterprise relationships
THE EXECUTION DIMENSION

Discovery establishes relationships. RE-ViVE adds the execution reality.

Knowing what is connected does not show how work actually moves through those connections—or how often different paths, retries, approvals and exceptions occur.

RE-ViVE EXECUTION EVIDENCE

See how the relationships are actually used.

RE-ViVE organizes transaction-level execution into paths, variants and observed patterns—connecting volume, timing, exceptions and outcomes to the systems and technology involved.

Not just the workflow definition. The evidence of how work actually executed.
RE-ViVE observed execution paths and variants

Discovery + execution creates richer enterprise context.

Together, AI-assisted discovery and observed execution can strengthen enterprise ontology and give technology leaders better context for analysis and decisions.

PUTTING IT TO WORK

Examples Across the Enterprise.

Whether the workflow is customer-facing, technology-driven or financial, RE-ViVE connects the business outcome to how work executes, the systems involved and the technology underneath.
01

Capital Markets

Trade Processing & Settlement
BUSINESS

Institutional trade → settlement outcome

EXECUTION

Trade Capture → Validation → Allocation → Exception / Repair → Settlement

SYSTEMS

Order Management → Trade Processing → Risk / Compliance → Settlement Platform → Custodian

TECHNOLOGY

APIs · message queues · batch jobs · databases · cloud / compute dependencies

What becomes visible: where exceptions, manual repairs, dependencies and technology behavior affect settlement.
See the Capital Markets example →
02

Application Delivery

From Business Change to Production
BUSINESS

Requested capability → production release

EXECUTION

Requirement → Development → Build → Test → Approval → Deployment → Production

SYSTEMS

Work Management → Source Control → CI/CD → Test Platform → Change Management → Production

TECHNOLOGY

Build compute · pipeline runtime · deployment infrastructure · cloud resources · environment utilization

What becomes visible: where delivery slows, which systems and technology contribute, and where repeated work or dependencies accumulate.
03

Order to Cash Reporting

From Operational Activity to Management View
BUSINESS

Order to cash performance → management reporting

EXECUTION

Order Activity → Data Extraction → Transformation → Aggregation → Report Refresh → Consumption

SYSTEMS

SAP / CRM → Data Lake → Databricks / ETL → Snowflake → Power BI

TECHNOLOGY

Scheduled jobs · data movement · compute · storage · refresh frequency · runtime dependencies

What becomes visible: which jobs and platforms support each reporting outcome, where capabilities overlap, and where technology cost and complexity accumulate.
AND MANY MORE

The same approach can be applied to health insurance claims,supply chain execution, mortgage processing,commercial loan approval, customer onboarding, payments, service operations and other workflows where business outcomes depend on a connected chain of execution, systems and technology.

START WITH ONE WORKFLOW

Don't Wait for the Entire Enterprise Ontology.

Start with a business workflow where execution evidence already exists. RE-ViVE can establish a practical foundation of observed relationships and execution context—then expand from there.