Deskpro Unveils “Deskpro Private” for Secure, AI-Driven Help Desk in Regulated Industries

Deskpro Private, a secure help-desk software platform enhanced with private AI support, has been launched by Deskpro to enable organizations in regulated industries such as financial services, healthcare, government and aerospace to deploy AI in their support operations without compromising on security, compliance or data sovereignty.

Why Deskpro Private Matters: Bridging AI and Compliance

Many enterprises have faced a difficult choice: either adopt AI-driven help desk tools at the cost of sending data through public cloud AI models, or stick with traditional solutions in order to meet stringent regulatory standards. With Deskpro Private, those constraining tradeoffs are addressed; the platform supports deployment in private cloud, on-premise, VPC, or even sovereign cloud infrastructures.
This means sensitive help-desk data remains within the organization's secure perimeter, while still enabling powerful AI features powered by an AI model of the customer’s choice, including custom LLMs or commercial models like OpenAI, Claude, Gemini, Mistral, or internal enterprise models.

What Capabilities Does Deskpro Private Bring?

1. AI Chatbot & Self-Service
   Deskpro Private includes a chatbot that can intelligently deflect common support issues, provide instant responses based on internal documentation (manuals, FAQs, ticket histories), and reduce ticket volume.
2. AI Agent Assist (Co-pilot)
   Human agents benefit from a “co-pilot” experience: Deskpro’s AI can draft replies, summarize tickets, suggest workflow actions, and generate knowledge base articles freeing up agents to focus on more complex customer issues.
3. AI-Driven Workflow Automation
   The platform supports advanced AI-based automation including sentiment analysis, intent detection, and ticket summarization, enabling smarter routing and prioritization of support tickets.
4. Flexible Model Integration
   Organizations can use any LLM whether a proprietary or third-party one and securely connect it via APIs. For example, Deskpro Private supports using Amazon Bedrock via AWS PrivateLink in an AWS VPC deployment..
5. Extensive Deployment Options
   Deployments can happen in:

• Your existing VPC,
• On-premise data centers,
• Sovereign cloud environments,
• Even in highly isolated or air-gapped environments.

6. Strong Security & Compliance
   Deskpro Private is built for compliance-bound environments, supporting standards like SOC II, ISO 27001, HIPAA, and more.

Impact: Who Stands to Gain

• Regulated Enterprises: Banks, healthcare systems, government agencies and aerospace firms can now leverage AI-powered support without risking regulatory non-compliance or data residency breaches.
• Support Teams: Agents benefit from productivity gains, reduced repetitive work and more time to focus on high-value issues.
• IT and Security: With data never leaving the secure perimeter, IT and security leads can confidently deploy help desk AI without compromising on data governance.
• Customer Experience: End users receive fast, AI-backed responses, while sensitive data remains protected in a controlled environment.

Challenges and Considerations

• Initial Integration Complexity: Deploying in private or on-premise environments may require more setup work than standard cloud-hosted SaaS.
• Model Selection and Governance: Choosing the right LLM (commercial vs private) and ensuring its outputs remain safe, accurate and compliant can require governance oversight.
• Data Onboarding: Organizations will need to feed relevant documentation (manuals, historic tickets, help-center data) into the system to ensure the AI delivers appropriate, context-aware responses.
• Ongoing Monitoring: It's important to maintain and monitor AI operations to manage risk, especially in sensitive contexts.

Outlook: What’s Next for Deskpro Private

With the launch of Deskpro Private, Deskpro aims to democratize access to AI in help-desk operations  making intelligent, automated support feasible even for the most security-sensitive organizations.
Looking ahead, the company plans to continue embedding AI-safety and security controls, expand LLM support, and enhance the ability to surface private organizational data safely into AI-driven interactions.
In regulated sectors, this could mark a turning point: Desktop help desks will no longer be forced to choose between innovation and compliance, they can embrace both.

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