Platform

An enterprise intelligence layer on top of the systems you already run.

INNERWORK connects existing information, interprets it through business methodologies and uses AI to detect patterns, risks and opportunities. The result is insights, alerts, recommendations, actions and follow-up.

INNERWORK architecture screen: data sources and connectors, data normalization, AI gateway, ELTOAN™, AI agents, insights and actionsConcept visualization

Connect → Understand → Interpret → Act

  1. 1

    Connect

    Connect or import the information your company already has.

  2. 2

    Understand

    Normalize it into one consistent model of the business.

  3. 3

    Interpret

    Apply ELTOAN™ methodologies and AI to detect patterns, risks and opportunities.

  4. 4

    Act

    Deliver insights, alerts, recommendations and actions, and follow up until they close.

Connect before capture

INNERWORK does not become another system where teams re-enter information by hand. It connects or imports what already exists, and asks people for new data only when that data adds intelligence.

1. Connect or importExisting systems, spreadsheets and documents come first.
2. Capture only what adds intelligenceNew questions go to people only when no system holds the answer.

Architecture

From data sources to dashboards and conversational interfaces.

  1. 1

    Data sources & connectors

    Read from POS, ERP, spreadsheets, financial, HR and operations systems, documents and APIs. Where no connector exists, structured files can be imported.

  2. 2

    Data normalization

    Records are cleaned, mapped and unified with shared definitions for locations, cost centers, people and transactions.

  3. 3

    AI gateway

    Every AI request passes through one gateway that controls security, cost, logging and model choice.

  4. 4

    ELTOAN™

    Methodologies define what to review, which data and rules apply, and what output to produce.

  5. 5

    AI agents

    Agents use approved tools that expose calculated, permissioned views, so answers trace back to governed data.

  6. 6

    Insights

    Findings arrive with evidence, severity and the context needed to judge them.

  7. 7

    Actions

    Insights become recommendations and assigned actions that are followed up until closed.

  8. 8

    Dashboards & conversational interfaces

    Leaders work in web dashboards or with Andy through WhatsApp, SMS and web.

Connectors

INNERWORK connects to or imports from existing systems. Status is shown for each connector.

  • Available In production use
  • Pilot Being validated with initial customers
  • Planned On the roadmap

Point of sale (POS)

Sales, tickets and location activity.

[INFORMATION REQUIRED: status]

Enterprise resource planning (ERP)

Purchasing, inventory and accounting records.

[INFORMATION REQUIRED: status]

Google Sheets

Targets, budgets and operating trackers.

[INFORMATION REQUIRED: status]

Excel

Financial models and exported reports.

[INFORMATION REQUIRED: status]

Customer relationship management (CRM)

Pipeline, accounts and commercial follow-up.

[INFORMATION REQUIRED: status]

HR systems

Headcount, roles, attendance and payroll inputs.

[INFORMATION REQUIRED: status]

Operations platforms

Tasks, checklists and incidents.

[INFORMATION REQUIRED: status]

Financial systems

Accounting, invoicing and cash.

[INFORMATION REQUIRED: status]

Documents

Policies, procedures and reports.

[INFORMATION REQUIRED: status]

APIs

Custom sources through secure application programming interfaces.

[INFORMATION REQUIRED: status]

Engineering principles

Code before AI

Each problem is solved at the lowest reliable level first. Deterministic code handles what it can; AI handles what it can’t.

One AI gateway

No module calls an AI provider directly.

Automation before agents

Repeatable work is automated; agents are reserved for reasoning.

Tools before raw data

Agents never query raw tables.

Multi-tenant by design

Each customer’s data is isolated with row-level security.

Ready for connected agents

Designed for the Model Context Protocol (MCP) and agent-to-agent (A2A) interoperability.

See the platform with your own data sources.