The Challenge
Customer support teams were working with knowledge spread across internal policies, product guides, FAQs and previous support records. Even a familiar enquiry often required checking multiple sources, while more complex requests moved between teams without a consistent handover.
The organisation needed a more reliable way to give customers timely guidance, reduce repeated research for service agents and keep escalation decisions aligned with its support policies.
The Solution
With cognipeer Studio, our team brought the organisation’s approved knowledge sources into a dedicated AI support agent, configured around its policies, customer journeys and escalation rules. The agent could interpret incoming enquiries, retrieve relevant information and guide users towards the next appropriate step.
We connected the support experience with the organisation’s existing service processes so requests requiring human attention could be handed over with relevant context. cognipeer Console provided the model-management, guardrail and observability capabilities behind the solution.
Implementation
- Connected institutional knowledge. We organised the approved FAQs, product information and support policies used by the agent.
- Designed the AI support agent. We defined its scope, response behaviour, escalation conditions and authorised actions in Studio.
- Linked support workflows. We configured the agent to provide guidance for routine enquiries and pass more complex cases into established support processes.
- Introduced operational oversight. We aligned review and monitoring with the organisation’s requirements for support quality and control.
Business Impact
The AI-assisted workflow brought answers and handovers into a more connected support experience. Customers had a clearer route to help, while support teams could focus more attention on cases needing specialist intervention.
- Faster access to support knowledge for common customer questions.
- More consistent responses grounded in approved documentation.
- Less repetitive research across service teams.
- More structured handovers when human support was needed.