Workflow proof for AI-assisted integration work
Guide workflow development along a safe vector.
Flowvec turns workflow engines into reviewable graph, schema, mapping, validation, and runtime evidence so teams can build with AI, support what they ship, and replatform without losing the business rules.
Vector Path
Intent to correction without hiding the rules.
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01
Intent
Turn a workflow goal into engine-specific starting points.
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02
Design
Use catalogues, examples, defaults, and opinionated design rules.
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03
Validate
Catch schema, connector, relationship, expression, and script issues before deployment.
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04
Deploy
Use controlled APIs, canonical contracts, scenarios, and CLI tooling.
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05
Observe
Inspect runtime status, bulletins, outcomes, and operational evidence.
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06
Correct
Convert observed failures into design guidance and better future generation.
Live proof
NiFi workflows become reviewable evidence.
Graph, source references, schemas, mappings, validations, bulletins, runtime status, and failure paths stay visible so teams can inspect behavior before it becomes operationally important.
Platform optionality
Keep delivering while the platform landscape changes.
Flowvec can run on top of a proven NiFi foundation so teams can add the connections they need now, such as AML checks, CRM transitions, cheaper SaaS replacements, and competitive integrations, without committing too early to a full platform replacement.
Replatforming proof
Turn dark workflow logic into reviewable proof.
Workflow platforms can hide logic in connector settings, expressions, datapill mappings, permissions, retries, and runtime branches. Flowvec exposes graph, schemas, mappings, rules, validations, evidence, and failure paths.
Operations
Every change stays traceable.
Workflow graph, source references, schemas, mappings, validation findings, evidence, and failure paths stay visible. Error queue handling keeps failures supportable instead of burying them in dark workflow logic.
Catalogue
Live proof, evidence packs, and research candidates.
Flow Vector for NiFi
Opinionated NiFi design guide and delivery workbench.
Flow Vector for Azure
Review-first Azure workflow and container-app scenario builder.
Flow Vector for Workato
Evidence-first Workato recipe inspection and generation support.
Additional offering
Hosted NiFi stays separate from Flow Vector tooling.
Use cases
Evidence for delivery, review, and migration decisions.
Verify business rules before an integration goes live
Review schemas, mappings, routing rules, validation findings, and operational evidence without reading hidden code.
AI and agent teamsGive agents safe workflow-engine tools
Give agents constrained workflow-engine tools with visible validation, evidence, and correction paths.
Migration and replatforming leadsExtract business logic before replacing a workflow platform
Extract the business logic, schema assumptions, runtime paths, and failure behavior before choosing what to preserve or rebuild.
Platform engineering and integration leadersKeep delivering before making a full platform replacement bet
Keep delivering urgent integrations on a proven foundation while the target platform decision matures.
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