Custom AI Assistant Eases IT Burden for Governing Agency
Organizations are curious about AI—but uncertainty around data privacy, security, and practicality often holds them back. This governing agency wanted to explore AI without compromising control. Their goal? A secure, in-house assistant that could answer common questions, reduce help desk volume, and prove AI could work for them.
HBS helped bring that idea to life. By building a private, Azure-based AI assistant trained on internal documentation, the organization now has a fast, trusted way to support staff—without flooding IT. What started as an IT project is now laying the groundwork for AI expansion across departments.
Faster support, fewer help desk tickets, and growing trust in AI—with plans to expand usage across departments like HR, Marketing, and more.
The Challenge: Overwhelmed by IT Questions and Security Concerns
This governing entity wanted to dip its toes into AI, but not at the cost of data security. They’d experimented with public AI tools like ChatGPT, but the open nature of those platforms raised red flags for the IT team.
At the same time, their help desk was inundated with repetitive requests:
“How do I reset my password?”
“Where’s that policy document?”
The organization envisioned more than a chatbot. They wanted a secure, reliable internal expert—an AI assistant that could handle routine and complex questions, scale across departments, and free up IT to focus on strategic priorities.
Solution: A Secure, Scalable AI Assistant
The organization partnered with HBS to bring their vision to life: a private, intelligent AI assistant built on Microsoft Azure. The key features:
- Smart Document Knowledge
The AI assistant was trained using internal documentation like IT policies, how-to guides, and FAQs. With Azure AI Search, it became a go-to resource for employees needing quick, specific answers. - Built for Simplicity
Employees could ask questions in natural language—even with typos or awkward phrasing—and still get clear, accurate answers. - Secure and Private
The assistant ran on a closed, internal system. Unlike public tools, it didn’t expose any data to the outside world, keeping employee and organizational information secure. - Ready to Grow
While it launched for IT support, the system was designed to scale—offering a flexible framework for future use cases like HR and communications.
Implementation: From Idea to Execution
The project kicked off with a clear goal: show stakeholders how AI could make life easier, not scarier. How did that happen?
- IT was identified as the best starting point for AI adoption.
- Internal data was gathered and organized into a knowledge base.
- The AI assistant was tested, and tweaked to make sure it delivered the correct answers.
- The solution was rolled out gradually, starting with IT for feedback, then expanding to all employees.
Using Azure’s EasyAuth, setup was simple. Employees didn’t need to mess with logins or extra steps—they just started asking questions, and the assistant delivered.
Results: Saving Time and Changing Minds
The AI assistant immediately improved how the governing body handled IT support.
- Less Waiting, More Doing
Employees got instant answers instead of waiting for a help desk response. Password resets and document searches became quick and easy. - More Focus for the IT Team
The IT team wasn’t bogged down with repetitive questions anymore. They’re now allowed to focus on bigger projects that drive real impact. - Growing Confidence in AI
This was a mindset shift and not just a “tech upgrade.” Stakeholders who were initially cautious saw how AI could make their lives easier, and now everyone is excited about expanding its use.
Future Plans: Growing AI’s Role
Encouraged by early success, the organization is now developing a similar AI assistant for HR. It will handle questions about benefits, onboarding, and internal policies—freeing up even more staff time while improving the employee experience.
Why It Worked: The HBS Difference
- Employee-Centered Design
The assistant was intuitive and ready to use from day one, with no steep learning curve. - Built for Security
Transitioning from ChatGPT to a secure Azure-based solution provides data privacy and protection. - Set Up for Future Success
This is a model the tribe can expand across departments and develop into different use cases, making AI an integral part of their operations.
Conclusion: AI That Works for You
Thanks to their partnership with HBS, this organization turned AI into a valuable ally. Their IT team is more effective, employees have faster access to answers, and leadership is confidently expanding AI’s role in their operations.
Imagine what AI could do for your organization. Let’s start the conversation.
