CASE STUDY
Elevating Customer Support with AI Automations
Challenge
Customer Support teams are focused on helping clients get answers quickly, while also maintaining high-quality service and keeping engineers from being overwhelmed by manual searches through client documentation.
These challenges mean slower response times, higher stress on engineers, and reduced customer satisfaction. The support team at designDATA, a managed services provider (MSP), knew it was time for change.
Solution
designDATA’s support team members collaborated with Doyon Technology Group’s AI experts to develop Sophie, an internal AI-powered chatbot designed to integrate with existing workflows and accelerate customer support. Unlike off-the-shelf chatbots, Sophie was customized to the MSP’s environment using Azure AI Foundry for flexibility and scalability.
Key Features of Sophie:
Instant Access to Client Knowledge
Sophie connects directly to IT support ticketing and documentation platforms, retrieving documentation, policies, and application instructions, and relaying them back to a Microsoft Teams chat.
Engineers can ask the Teams chatbot simple, plain-language questions (“What antivirus does this client use?”) and instantly receive accurate answers.
Smarter Ticket Triage with Sentiment Analysis
Sophie analyzes incoming emails and ticket notes for urgency and tone.
Tickets flagged with urgent or frustrated language are prioritized automatically, enabling faster response to high-stakes issues.
“It does a really good job of telling me which tickets we need to focus on based on the sentiment… if the user is saying, ‘I need this done now,’ it tells me, ‘Hey, you need to escalate this.” – Saul De Jesus, Director of Customer Service and Delivery at designDATA
Ticket Supplementation for Faster Resolutions
Before an engineer even opens a ticket, Sophie pre-populates it with context: client history, past issues, escalation points, and suggested solutions.
This “hydrated ticket” model allows engineers to respond faster and with greater confidence.
“Routine or repetitive support tasks like password resets, onboarding steps, or FAQ-type issues are made easier with Sophie’s automation and knowledge retrieval, freeing me up to handle more complex client issues.” – Jayron Trader, End User Support Technician at designDATA
Log File and Error Message Interpretation
Sophie AI can analyze and interpret complex error logs – especially Windows Event Viewer messages, application logs, or system-level errors.
It highlights the most relevant lines and often provides context or suggested root causes, which accelerates troubleshooting for support technicians.
Manager Insights & Client Meeting Prep
Supervisors use Sophie to generate summaries of recent tickets, identify red flags, and prepare for client meetings without combing through scattered, raw data.
Scalable & Flexible Architecture
Built on Azure AI Foundry, Sophie can switch between large language models (ChatGPT, Claude, LLaMA, etc.) with minimal disruption.
This modular approach ensures long-term adaptability as AI technology evolves.
RESULTS
The introduction of Sophie elevated how the designDATA Customer Support team operates, creating measurable improvements in efficiency, responsiveness, and customer satisfaction.
- Faster Ticket Resolution: Engineers no longer waste time searching across multiple systems; they get immediate, AI-powered answers in Microsoft Teams.
“Sophie has helped me reach resolutions faster by giving me quick steps to troubleshoot an issue. It also helps me communicate in a more professional way, ensuring the customer feels seen and their issue addressed,” commented Taqqe Porter, End User Support Technician at designDATA
- Improved Prioritization: Sentiment analysis ensures urgent customer issues are escalated quickly, avoiding service delays.
- Consistent Ticket Quality: Supplemented tickets provide standardized, information-rich starting points for engineers, reducing inconsistencies in response quality.
- Smarter Client Conversations: Managers use AI-generated ticket summaries and red flag alerts to enter client meetings well-prepared, improving client trust.
- Reduced Onboarding Time: New support team members gain instant access to client history and documentation, lowering the dependency on domain expertise.
- Custom Control & Security: Because Sophie runs in a company-controlled tenant, all data stays secure, and processes can be tailored to internal workflows.
Over time, Sophie has been refined into a powerful customer support co-pilot. The tool now serves as a central hub for knowledge retrieval, ticket prioritization, and proactive insights – helping engineers and managers deliver faster, smarter, and more consistent service.
Ready to Take the Next Step?
Connect with Doyon Technology Group to explore how AI can make a meaningful impact for your organization.
At Doyon Technology Group, we view our family of companies as customer zero for AI innovation and experimentation. We continually explore ways to streamline and automate manual processes, using our own successes to fuel success for our clients. We also recognize that, like our internal teams, our clients are at different stages of their AI journey – some highly advanced and others just beginning. We meet them where they are, just as we’ve done internally: crawl, walk, run.