Security and deployment

Enterprise AI should be evaluated with clear data boundaries before launch.

Fikir Yazilim's products touch ERP data, production visuals, catalogues, browser workflows and call records. Before a deployment, the team defines data access, permissions, retention, logging and operational responsibility with the customer.

Data minimization

Each project should identify the minimum data needed for the workflow instead of copying broad enterprise datasets by default.

Permission mapping

ERP, reporting, browser automation and phone-assistant workflows should respect company roles, access rules and approval paths.

Observable automation

AI-assisted actions should remain visible and reviewable, especially for browser automation and operational reporting.

Deployment fit

Cloud, private network and customer-specific deployment options are evaluated according to data sensitivity and integration scope.

Discovery checklist

Security review topics before production use

The exact implementation depends on product scope. These topics should be clarified before moving from demo to live operation.

Frequently asked questions

Does Fikir Yazilim need full ERP access?

No default assumption should be made. ERP access should be limited to the data and permissions required by the selected workflow.

Can deployment be evaluated for private environments?

Yes. The deployment model should be reviewed according to customer security requirements, integration scope and operational constraints.

How should AI browser automation be governed?

Browser automation should use controlled sessions, visible steps and clear policies for credentials, approvals and auditability.

How should Sekreteriniz call data be handled?

Call fields, summaries, transcripts and retention periods should be limited to the business need and made accessible only to authorized users.

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