Point of sale (POS)
Sales, tickets and location activity.
[INFORMATION REQUIRED: status]Platform
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.
Concept visualizationConnect or import the information your company already has.
Normalize it into one consistent model of the business.
Apply ELTOAN™ methodologies and AI to detect patterns, risks and opportunities.
Deliver insights, alerts, recommendations and actions, and follow up until they close.
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.
From data sources to dashboards and conversational interfaces.
Read from POS, ERP, spreadsheets, financial, HR and operations systems, documents and APIs. Where no connector exists, structured files can be imported.
Records are cleaned, mapped and unified with shared definitions for locations, cost centers, people and transactions.
Every AI request passes through one gateway that controls security, cost, logging and model choice.
Methodologies define what to review, which data and rules apply, and what output to produce.
Agents use approved tools that expose calculated, permissioned views, so answers trace back to governed data.
Findings arrive with evidence, severity and the context needed to judge them.
Insights become recommendations and assigned actions that are followed up until closed.
Leaders work in web dashboards or with Andy through WhatsApp, SMS and web.
INNERWORK connects to or imports from existing systems. Status is shown for each connector.
Sales, tickets and location activity.
[INFORMATION REQUIRED: status]Purchasing, inventory and accounting records.
[INFORMATION REQUIRED: status]Targets, budgets and operating trackers.
[INFORMATION REQUIRED: status]Financial models and exported reports.
[INFORMATION REQUIRED: status]Pipeline, accounts and commercial follow-up.
[INFORMATION REQUIRED: status]Headcount, roles, attendance and payroll inputs.
[INFORMATION REQUIRED: status]Tasks, checklists and incidents.
[INFORMATION REQUIRED: status]Accounting, invoicing and cash.
[INFORMATION REQUIRED: status]Policies, procedures and reports.
[INFORMATION REQUIRED: status]Custom sources through secure application programming interfaces.
[INFORMATION REQUIRED: status]Each problem is solved at the lowest reliable level first. Deterministic code handles what it can; AI handles what it can’t.
No module calls an AI provider directly.
Repeatable work is automated; agents are reserved for reasoning.
Agents never query raw tables.
Each customer’s data is isolated with row-level security.
Designed for the Model Context Protocol (MCP) and agent-to-agent (A2A) interoperability.