Run enterprise decisions across the systems you already have.

IndirmAI connects ERP, documents, spreadsheets, approvals, live data, and workflow tools into one decision execution layer, without replacing core systems or waiting for perfect data infrastructure first.

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Existing systems

ERPSensorsLogsDocsSheetsAPIs

IndirmAIDecision execution layer

ConnectLive system data

ContextShared operating view

DecideAI and business rules

ExecuteActions back to tools

Policy, AI, and review in one path

Workflow actions

AlertsApprovalsUpdatesWorkflows

Closed loop into the systems teams already use

DECISION EXECUTION FLOW

Connect critical systems. Create complete context.Coordinate controls closure.

PROBLEM STATEMENT

Systems store enterprise data. They do not run decisions.

Workflows span ERP, CRM, spreadsheets, documents, sensors, logs, and external sources. Teams still reconcile entities, apply logic in Excel or scripts, route approvals over email, and assemble the final output manually.

Partial context

Data exists across systems

ERP, CRM, sensors, logs, documents, spreadsheets, and external sources all hold part of the picture.

Every system holds a valid but incomplete view.
Teams reconcile records before decisions can move.
The operating picture is rebuilt manually each cycle.

Problem 01

Decision gap

Logic lives outside systems

Business rules move through Excel, BI tools, scripts, emails, approvals, and human coordination.

Rules sit in spreadsheets, scripts, dashboards, and inboxes.
Approvals happen away from the workflow that needs them.
No connected layer owns the decision path end to end.

Problem 02

Delayed output

Execution stays manual

Teams assemble outputs by hand because no system owns the decision and the action that follows.

Alerts, approvals, updates, and reports are assembled by hand.
Execution waits for people to translate context into action.
Auditability breaks between tools, teams, and decisions.

Problem 03

PLATFORM

One execution layer across data, logic, decisions, and action.

IndirmAI sits on top of fragmented systems and turns live data into functional outputs. It handles structured and unstructured data in the same flow, applies domain logic directly on live data, and executes workflows across systems.

System connection

Existing sources

Connect the data and tools that already run the business.

ERP, CRM, and finance systems
Sensors, logs, and documents
Internal APIs and external feeds

Layer 01

Decision layer

IndirmAI layer

Create one decision layer above fragmented systems.

Ingest and normalize data
Apply AI and business rules
Orchestrate the next action

Layer 02

Closed loop

Business output

Send the result back into the workflow teams already use.

Alerts and approvals
System updates
Controls and reports

Layer 03

HOW IT WORKS

Data stays where it is. Decisions start running.

The operating pattern is direct: ingest multi-source data, unify entities, apply reusable domain logic, execute cross-system actions, and produce reports, controls, and intelligence.

Data Sources

Sensors, ERP, logs, APIs, documents, video, and external feeds stay where they are.

Ingestion

Real-time pipelines unify structured and unstructured data across edge and cloud.

Intelligence

Computer vision, predictive models, classification, and LLM reasoning operate on live data.

Decision Engine

Rule and ML logic evaluates scenarios, applies business rules, and recommends outcomes.

Action

Alerts, approvals, workflow triggers, and system updates close the loop across tools.

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Bring us one messy workflow.

Share the sources, logic, approvals, and final output. We will map how that workflow can become a live decision system with real data and reviewable outcomes.

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OPERATING IMPACT

Measured by speed, control, and execution.

IndirmAI is measured by practical outcomes: faster time to output, lower manual effort, higher accuracy and control, and scalable impact across functions.

0-0%

Manual intervention reduction across automated operational workflows.

0-0x

Faster detection-to-resolution on live systems.

0-0%

Lower manual effort across selected enterprise workflows.

Weeks to real time

Time to output shifts from manual cycles to continuous intelligence.

Higher control

Improved data quality, compliance coverage, and auditability.

Scalable impact

The same decision primitives apply across functions and use cases.

EXPLORE SOLUTIONS

CASE STUDIES

Case studies where fragmented systems slowed decisions.

ENTERPRISE DEPLOYMENT

Product-level market share and accounts-payable controls were split across multiple SAP systems, external datasets, and manual review. IndirmAI created decision workflows on top of the existing systems.

MARKET INTELLIGENCE AND ACCOUNTS PAYABLE DEPLOYMENTS

SOLUTION PROVIDED

Market visibility and AP intelligence across fragmented SAP systems.

The case studies record real-time market share visibility, reduced manual reconciliation, centralized AP intelligence, anomaly detection, and stronger control coverage.

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Want to drive this pattern in your enterprise?

Bring one or two high-impact decision gaps. We will help you choose the first workflow, define the pilot, and show what should move into production the quarter after.

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