EPTARO — AI delivery and process automation for business
Enterprise AI · Process automation · Full control

We automate business processes with AI

We build AI agents that analyse documents, detect discrepancies, support decisions and carry out follow-up actions in your systems. We specialise in settlement, document and operational processes.

Cloud / on-prem / hybrid · EU data residency · Human-in-the-loop · Full decision audit trail
The EPTARO interface showing data analysis, confidence level, human approval, action execution and the audit trail.

EPTARO connects data, AI analysis, human approval and execution in one controlled process.

EU compliance
GDPR · EU AI Act · DORA
Data residency
EU · isolated environments
Human-in-the-loop
Critical decisions under control
Full audit
Sources, decisions and change history
What does EPTARO do?

AI delivery and process automation for business

EPTARO designs and delivers AI agents and business process automation. We specialise in settlement, document and operational processes — particularly in energy and regulated industries. Our AI agents analyse invoices, contracts and orders, detect discrepancies, prepare recommendations and carry out follow-up actions in systems such as ERP, CRM, billing platforms and e-invoicing. Every decision carries its source, a confidence level and a human approval point. Solutions can run as Private AI — data stays in your infrastructure, in line with GDPR, the EU AI Act and DORA.

Flagship use case

An AI agent that closes invoice discrepancies — from the ticket to a correction recommendation.

The system compares an invoice with the contract, the order and ERP data, identifies the cause of the discrepancy, prepares a justification and recommends the next action. Low-confidence or high-value cases go to an employee together with the full context.

Comparing source documents with ERP line items
Explaining each discrepancy with the source cited
Escalation to a human based on value and confidence level
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Business outcome

Three results that matter to the board.

Faster processes

Automating data retrieval, analysis and decision preparation shortens case handling time.

Lower cost-to-serve

Staff no longer spend time gathering data and repeating routine steps.

Risk control

Every decision carries its sources, confidence level, change history and a human approval point.

Solutions

Three groups of solutions, one coherent system.

We confirm accuracy and ROI on real cases during the pilot — no unverified figures.

Industries

AI for processes where control, security and a measurable result matter.

We design solutions for organisations handling complex data, documents and operational decisions.

Regulated sector

Finance and regulated sectors

Automation of processes that require compliance, full decision documentation and human control.

  • invoice discrepancy analysis
  • document and contract verification
  • compliance recommendations and reporting
A finance team reviewing documents, compliance and process exceptions with AI support.

AI supports document and exception analysis, leaving critical decisions with authorised staff.

See industry solutions
Critical infrastructure

Energy and infrastructure

Analysis of operational data, events and deviations in environments that require continuity.

  • SCADA and metering data analysis
  • anomaly and event detection
  • recommendations prepared for the operator
An energy operations centre reviewing power flows, events and AI recommendations.

EPTARO connects infrastructure data with AI analysis, alerts and a controlled decision process.

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Operations

Manufacturing and operations

Process monitoring, deviation detection and operational decision support based on production data.

  • quality control and anomaly detection
  • process performance analysis
  • recommended adjustments to operating parameters
A plant operator reviewing quality, performance and anomalies using EPTARO.

The system detects deviations, indicates the likely cause and prepares a recommended action.

See industry solutions
Case studies

Deployments described by results, not slogans.

We describe every case in the same structure: situation before, scale, integrations, AI scope, human approval point, before/after result and measurement method.

Finance · settlements team

Closing invoice discrepancies

Up to 80% shorter handling time
From detecting a discrepancy to a prepared recommendation — from days to a few hours.
Situation beforeManual matching of invoices against orders and contracts, cases stuck in queues.
Process scaleThousands of documents a month, many suppliers and formats.
IntegrationsERP, contract repository, document workflow system.
AI scopeData retrieval, line item comparison, justification and correction recommendation.
Human-in-the-loopApproval required at low confidence or high case value.
Before/after resultShorter case handling time and fewer backlogged cases — figures confirmed in the pilot.
Measurement methodComparison of a sample of cases before and after deployment on the same criteria.
Energy · operations

Documentation and ticket analysis

Up to 70% faster access to information
The agent searches documentation and tickets and points to the right answer with its source — in minutes instead of hours.
Situation beforeScattered documentation and long search times for the right information.
Process scaleHigh volume of tickets and technical documents.
IntegrationsDocument repositories, ticketing system, knowledge bases.
AI scopeAnswers to data questions with the source cited.
Human-in-the-loopExpert verification of critical answers.
Before/after resultFaster access to information — figures confirmed in the pilot.
Measurement methodHandling time measured on a representative sample of queries.
Security and architecture

AI designed to run inside your controlled environment.

Data residency and isolation

Data stays in the EU, in your isolated environments.

Roles and permissions

Precise control over who can do what in every process.

Audit of decisions and actions

A complete, reproducible history of sources, decisions and changes.

Human-in-the-loop

Critical decisions always pass through a human.

Simplified architecture
Data sourcesERP · CRM · documents
Integration and knowledge layer
Models and agents+ control
Applications and actions
Delivery model

Every project starts with a measurable problem, not with picking an AI model.

01

Process and data assessment

We choose a process with measurable potential and check data availability.

02

Pilot design and success criteria

We define scope, integrations and how the result will be measured.

03

Pilot on real cases

We run the solution on real data with a human in the loop.

04

Production and scaling

We move to production and extend to further processes and teams.

Team and accountability

Technology matters. Accountability for the result matters more.

EPTARO projects are led by people who combine business, process and technology experience. Every deployment has an owner accountable for scope, security, integrations and a measurable result.

The EPTARO team in a meeting in Warsaw, discussing an AI deployment at the conference table with the city skyline behind them.

Let us pick one process where AI can deliver a measurable result.

In the first conversation we assess the problem, data availability, possible integrations and how the result will be measured. You get a recommendation for the next step — no generic sales pitch.