PLATFORM

The technical layer for enterprise decision execution.

IndirmAI connects existing data sources, AI models, decision logic, and workflow systems into one governed operating layer. It is built for production workflows, not isolated demos or dashboards.

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OVERVIEW

Built on top of fragmented infrastructure.

IndirmAI delivers functional outputs directly without forcing enterprises to pre-build a centralized data warehouse, lake, or perfectly aligned schema. Existing systems remain in place while the decision layer runs above them.
ERPCRMSensorsLogsDocsAPIs
IndirmAI decision execution layerIngestion, context, intelligence, decision logic, orchestration
AlertsApprovalsUpdatesControlsReportsActions
  • Runs enterprise workflows across multiple systems.
  • Works with structured and unstructured data.
  • Applies domain logic directly on live data.
  • Executes workflows across existing systems.
  • Produces functional outputs, not just data views.
  • Keeps decision logic reviewable as workflows move to production.

OPERATING FLOW

Integration first. Then intelligence, decisions, and execution.

Enterprise workflows rarely live inside one clean system. IndirmAI connects to fragmented sources, handles structured and unstructured data together, and builds usable context without waiting for all data to be standardized first.
01 / Integration

Integration

Connect ERP, CRM, logs, APIs, documents, spreadsheets, external feeds, and operational tools.

  • Multi-source ingestion.
  • Structured and unstructured data handling.
02 / AI Layer

AI Layer

Apply computer vision, predictive models, classification, entity resolution, and LLM reasoning in context.

  • Read source data in context.
  • Surface the signals that matter.
03 / Decision Engine

Decision Engine

Rule and ML logic evaluates scenarios, applies business rules, and recommends or triggers outcomes teams can inspect.

  • Evaluate scenarios and rules.
  • Recommend the next step with rationale teams can review.
04 / Execution

Execution

Alerts, approvals, workflow triggers, system updates, reports, controls, and intelligence outputs close the loop.

  • Trigger workflows and updates.
  • Return controls and reports to teams.

Map the operating flow before rollout.

Start with the four-stage path: integration, AI layer, decision engine, and execution. We will identify the systems, data, rules, and actions needed for a production-ready workflow.

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DEPLOYMENT

Pilot in weeks. Production in a quarter.

01DiscoveryAbout 2 weeks

Identify high-value decision gaps across operations, finance, IT, marketing, and adjacent functions.

02Pilot6 to 10 weeks

Focused use-case deployment with real data, real workflows, and real outcomes.

03ScaleNext quarter

Expand to adjacent workflows, new data sources, and multi-system integration.

04Platform RolloutOngoing

Governed, observable, optimized platform across the enterprise.

WHY IT WORKS

Built for deployment, not demos.

AreaIndirmAITypical vendors
System scopeSystem-level integrationPoint solutions
OutputDecision and actionAnalytics only
Delivery postureProduction-first deploymentPilot-heavy delivery
GovernanceGoverned, observable rolloutUnclear production ownership
ArchitectureOpen architectureVendor lock-in
Operating environmentBuilt-in edge capabilityLimited edge capability

ROADMAP

From single decisions to decision networks.

01

Now

Multi-system workflows running end-to-end.

02

Next

Autonomous decision networks across functions.

03

Future

Cross-domain intelligence platforms operating continuously.

04

Final

Enterprise decision networks coordinating workflows across functions, systems, and operating teams.

Ready to map your first workflow?

Start with one decision gap, the systems it depends on, and the action that should follow. We will map the path from source data to an executable workflow that can expand over time.

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