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Vidratek AI Agent: 7 steps where AI joins your business data workflow

Vidratek Team
Solutions consulting team
Vidratek AI Agent: 7 steps where AI joins your business data workflow

Vidratek AI Agent is an AI layer connecting your business systems with decision-makers. Instead of only waiting for users to ask questions like an ordinary chatbot, an AI Agent can take part in the whole data workflow across 7 steps, from collecting data to alerting. Businesses already have a CRM, ERP, accounting software, operating systems and plenty of Excel files, yet whenever a report is needed, teams still download files, check, reconcile and consolidate by hand.

Infographic: the 3 phases and 7 steps where an AI Agent joins the data workflow
3 phases and 7 steps where the AI Agent joins the data workflow.

How is an AI Agent different from an ordinary chatbot?

An ordinary chatbot waits for a user to ask before it answers. An AI Agent can take an active part in the whole data workflow: pulling data, checking, standardizing, consolidating, analyzing, generating reports and sending alerts. The model has 3 phases: preparation (steps 1 to 3), AI processing (steps 4 and 5), and reporting and recommendations (steps 6 and 7).

What are the 7 steps where an AI Agent joins the data workflow?

Step 1: Collect data from many sources

Brings data into one processing flow and cuts the time spent downloading and merging files by hand.

Step 2: Check for missing, duplicate or abnormal data

Catches discrepancies early and limits decisions made on inaccurate data.

Step 3: Standardize data to one structure and set of rules

Departments share one understanding and can reconcile figures easily.

Step 4: Consolidate figures for each department's needs

Shortens report preparation time and reduces repetitive work.

The business knows not only what is happening but also why.

Step 6: Generate reports from templates or business questions

The responsible person gets the right information, on time and ready to use.

Step 7: Alert when a metric crosses a threshold or looks abnormal

Problems are caught early so the business can act before the impact becomes serious.

Example: when revenue drops

Instead of only displaying a number on a dashboard, an AI Agent can help work out whether the drop comes from a particular region, product or customer group, then send the information to the right owner.

Does an AI Agent replace existing systems?

No. The goal isn't to replace every existing system. An AI Agent uses the data from those same systems, connects the steps that are still disconnected and reduces repetitive work. Data is then not only stored or displayed. It can actively help the business spot problems and decide faster.

Frequently asked questions about Vidratek AI Agent

What is Vidratek AI Agent?

An AI layer that connects business systems with decision-makers and takes part in the whole data processing workflow.

How is an AI Agent different from an ordinary chatbot?

A chatbot waits for users to ask questions. An AI Agent can take an active part in collecting, checking, standardizing, consolidating, analyzing, reporting and alerting.

Does an AI Agent replace our ERP, CRM or current software?

No. It uses the data from those systems, connects steps that are still disconnected and reduces repetitive work.

How does an AI Agent help when revenue drops?

Instead of only showing a number, it can help identify which region, product or customer group the drop comes from and send the information to the right owner.

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