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Security and trust

Review before rollout

Customer-facing AI needs boundaries before it needs scale.

Guftara gives businesses a controlled path from authorized knowledge to a privately reviewed agent, with sources and human handoff kept visible.

Product controls

Know what the agent knows—and where it should stop.

Authorized knowledge only

Users confirm they own a submitted website or have permission to prepare it for an agent.

Private review first

Teams test the assistant in an authenticated preview before deciding whether it is ready for a customer workflow.

Business-scoped context

Prepared knowledge and answers stay tied to the active website to reduce cross-customer context mixing.

Inspect the evidence

Reviewers can show source pages and check what supports an answer before wider use.

Data lifecycle

Clear about what the product handles and why.

  1. 01

    Collect

    Account details, a submitted URL, permitted public website content, preparation records, and private review activity.

  2. 02

    Use

    Operate the product, prepare business knowledge, answer questions, protect the service, and improve reliability.

  3. 03

    Retain

    Keep information only while needed to provide the product, maintain records, prevent misuse, or meet obligations.

  4. 04

    Request

    Questions or requests concerning retained information can be sent to contact@guftaraai.com.

Responsible AI

Grounded in evidence. Accountable to people.

Prefer evidence over improvisation

Guftara is designed to answer from approved business knowledge rather than behave like an unrestricted general-purpose assistant.

Keep people responsible

Business teams review the agent and define where customer conversations must move to a person.

Agree boundaries before launch

Language coverage, sensitive questions, escalation routes, and success measures are defined before a pilot begins.

Avoid unsupported claims

Guftara does not claim certifications or regulatory compliance that have not been independently verified.

Bring trust requirements into the pilot from day one.

Share the intended workflow, sensitive questions, review expectations, and escalation rules so we can define the right boundary together.