Case study

AI-assisted customer support triage for a B2B services team

An anonymized look at how a support team replaced manual ticket triage with an AI-assisted workflow — faster routing and consistent first answers, with agents in control of sensitive replies.

Client context

A B2B services company with a small support team handling a growing volume of inbound requests across email and a help desk. Details are anonymized at the client's request.

The business problem

Tickets were triaged by hand, repetitive questions consumed most of the team's time, and answer quality varied between agents as volume grew.

The process before Mindstructs

Every request was read, categorized, matched to a knowledge-base article or past ticket, and routed manually — with complex cases bouncing between people.

Discovery and requirements

Through AI-guided discovery we mapped the real support process, the categories that mattered, and the cases that must stay with a human, and turned them into structured requirements and task cards.

The solution we designed

An AI workflow that classifies each request by intent and urgency, searches the knowledge base, drafts a reply in the customer's language, and routes anything sensitive or low-confidence to an agent for approval.

Implementation

We integrated with the existing help desk and knowledge base, added human-in-the-loop approval on sensitive categories, and logged every step for review.

Technologies used

LLM-based classification and retrieval over the knowledge base, integrated with the help desk through its API, with monitoring on answer quality.

Results

Repetitive questions were handled faster and more consistently, triage stopped being a manual bottleneck, and agents spent more time on cases that needed judgment. Outcomes are described qualitatively at the client's request.

What was supported after launch

We kept the workflow monitored, tuned categories and answers as volume and edge cases grew, and adjusted the human-in-the-loop rules over time.

Related services

Could this work for your process?

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