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Enterprise Internal AI Knowledge & Decision Hub

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Large Enterprises & Corporates – Use Case Portfolio

Large enterprises operate across multiple departments, geographies, systems, and regulatory environments. While AI adoption is accelerating, most enterprises struggle with fragmented data, unsafe AI usage, lack of governance, and limited operational impact.

NeoroTalks acts as the enterprise AI operating layer-connecting systems, data, and teams through governed Agentic AI that runs securely on-prem or in private cloud.

Enterprise Internal AI Knowledge & Decision Hub

Large organisations store critical knowledge across documents, emails, portals, wikis, and systems. Employees waste time searching, asking colleagues, or relying on outdated information. Public AI tools cannot be used due to confidentiality risks.

Current Enterprise Challenge

What NeoroTalks Solves

NeoroTalks creates a secure Internal AI Knowledge Hub that allows employees to query enterprise knowledge safely.

It:

Ingests policies, SOPs, contracts, manuals, reports

Applies role-based access and data isolation

Provides traceable, source-backed answers

Logs every interaction for audit

This replaces unsafe AI usage with a governed alternative.

How It Works

Enterprise documents are securely indexed

Employees ask questions in natural language

AI retrieves answers from approved sources only

Responses include references and confidence levels

Usage is monitored and audited

Business Impact

Faster decision-making

Reduced internal queries and emails

Consistent information across teams

Safe AI adoption at scale

Deployment Snapshot

Industry: Large Enterprises & Corporates

Solutions Used: Private AI Chat, Enterprise LLM, Access Controls

Deployment: On-Prem / Private Cloud

Impact: Productivity gains, safer knowledge access

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