Operational Agents

Decisions Are Only Valuable When They’re Executed

Operational Agents are how Arya-AI closes the loop. They take the decisions your platform produces and run them inside your existing ERP, MES, and CRM systems, end to end, with human approval at every critical step.

Explore the Agents

Think of it as something between three things you already know. Like a script, it runs automatically. But unlike a script, it does not break the moment something unexpected happens. Like an RPA bot, it works across your systems. But unlike RPA, it does not blindly repeat fixed steps, it understands the goal and adapts to reach it. And like an AI assistant, it can reason. But unlike a chatbot, it does not wait for prompts, it acts on the decisions your platform has already optimized.

The result is simple: a decision gets made, and the work actually gets done. Automatically, inside your systems, with a human approving every critical step.

Why this matters now

Your team’s best thinking gets buried under repetitive execution. Posting invoices, matching payments, updating schedules, chasing confirmations. These are decisions that have already been made, being carried out by hand, over and over.

The technology to execute this work reliably and transparently has finally matured. Operational Agents take the repetitive execution off your team’s plate, so the people who understand your business spend their time on judgment, not data entry.

The decision is made. Now it has to happen.

Arya-AI’s Decision Intelligence Agent finds the optimal decision. But a decision that sits in a dashboard creates zero value. Operational Agents are the execution layer that turns that decision into real business output, automatically.

A great decision is only as good as its execution. Select departments, pick tasks, and build your digital team. Human-controlled at every critical step.

Accounting
33 tasks
ERP Purchase Invoice Entries
ERP Sales Invoice Entries
Integrator Sales Invoice Processing
Integrator Purchase Invoice Processing
Global Invoice Management Systems
Account Reconciliation Operations
Current Account Operations
Return Processing
Personnel Account Operations
Expense Operations
Regulation-Compliant Money Transfer Operations
Bank Account Operations
Check and Promissory Note Operations
Collection Tracking Operations
Preliminary Stock Operations
Income, Expense and Balance Sheet Reports
Balance Sheet Comparison and Analysis Reports
Tax, Official Notification and Declaration Operations
Data Operations for Other Departments
Period Closing and Control Operations
Penalty Tracking Operations
Investor and Executive Report Operations
Exchange Rate Adjustment and Related Operations
Social Security Payments
VAT Payments
VAT Accrual Report Preparation
Tax Payments
E-Ledger Records
Custody Tracking and Recording Operations
Business Advance Operations
Multinet Control and Loading
Vehicle Tracking Compliance Analysis
Transfer Records

RPA vs. AI agents

RPA repeats fixed rules and breaks when a screen changes; an AI agent understands the goal, handles the exception and adapts to change.

RPA / MacrosAI Agent
How it worksFixed, recorded stepsGoal-driven, adaptive
ExceptionsStops / errors outReasons and resolves
InputStructured dataDocuments, email, free text
Resilience to changeBrittleFlexible
ScopeSingle taskEnd-to-end process

Core capabilities of an operational agent

System integration

Works directly with ERP, MES, CRM, email and spreadsheets; moves data across systems.

Document understanding

Reads, extracts and validates information from invoices, waybills, contracts and email.

Reasoning & exception handling

Doesn’t stop on the unexpected; uses rules and context to pick the best action.

End-to-end execution

Follows a task from trigger to outcome — the whole process, not just one step.

Human-in-the-loop

Escalates risky steps for approval; autonomy opens gradually as trust grows.

Traceability

Every action is logged and justified; ready for audit and compliance.

Live data feedback

Agents don’t just execute. They feed live operational data back into the platform, so the next decision starts on fresher ground.

Which departments does it work in?

Operational agents work in any department where high-volume decisions have to become action. Pick a department to see what they carry out:

Accounting & Finance

Invoice entry, account reconciliation, payment lists, cash flow and budget-vs-actual reports.

Procurement

Supplier evaluation, order tracking, price comparison and contract-invoice compliance checks.

Production & Planning

Work order preparation, scheduling, OEE reports and MES-ERP data matching.

Logistics

Shipment tracking, warehouse stock management, freight cost analysis and route optimization.

Sales & HR

Quote preparation, customer segmentation, CV evaluation and payroll control operations.

How to choose the right operational agent?

A good agent is not the one that clicks the most screens but the one that drives your process to outcome most reliably. When evaluating, look at integration depth (does it really talk to your systems), exception handling, explainability, human-approval controls and time to deploy.

The most robust method is to pilot on a single high-volume process (for example invoice entry or reconciliation) and measure accuracy and hours saved with real data.

What’s the difference between RPA and an agent?

How to calculate ROI

The return of an operational agent is concrete: hours saved × frequency of the work × unit cost − agent cost. On repetitive, high-volume work the gains accumulate fast; and as errors fall, rework and penalty costs drop too.

The hidden returns — round-the-clock operation, consistency, auditability and shifting your team to higher-value work — are often larger than the direct time savings.

What is decision automation?

Customers running Operational Agents

Enterprises with agents executing inside their systems today:

Lazzoni

Real-time POS payment recording — 80%+ of the time spent on payment entry saved.

Gün Partners

Inter-company cost allocation — one standardised rule across affiliated companies.

Coante

End-to-end operations management — every critical workflow on one integrated platform.

How to get started (deployment)

Success comes not from handing over the whole operation at once but from a single, well-chosen process. A pilot is set up on a high-volume process with clear rules and measurable output, accuracy and hours saved are measured, and autonomy and scope expand as trust builds.

Arya AI places agents inside your existing ERP/MES processes without replacement — integration-first, with human approval on from day one.

  1. 1Choose a single high-volume process
  2. 2Connect the agent to existing systems (ERP/MES/CRM)
  3. 3Pilot with human approval; measure accuracy and hours saved
  4. 4Open autonomy gradually as trust grows
  5. 5Spread the success to neighboring processes and departments
How to design integrated agents

Frequently asked questions

RPA repeats fixed, recorded steps and breaks when the process changes. An operational agent understands the goal, reasons through exceptions to resolve them, and can work with unstructured inputs like free text and documents.

No. Agents run inside your existing ERP, MES and CRM systems; integration is the priority and no system replacement is required.

Autonomy is adjustable. Risky steps escalate for human approval (human-in-the-loop); autonomy is increased gradually as trust and accuracy are proven.

In high-volume, repetitive work such as invoice entry, reconciliation, reporting, data matching, ordering and scheduling.

Yes. Every action is logged and justified, leaving a traceable record for financial and compliance audits.

See your decisions carried out

Let’s evaluate together which process, in which department, you can hand over to an agent first.