Placeholder Client A — 2026
Helix Support AI
A placeholder case study. An AI support agent grounded in the client's knowledge base that resolves routine tickets end-to-end and hands complex ones to humans with full context.
- Client
- Placeholder Client A
- Industry
- SaaS
- Year
- 2026
- Services
- LLM Agents, RAG Pipeline, Helpdesk Integration, Evaluation Suite
Every customer answered in seconds, at any hour.
62%
Tickets auto-resolved
1.4s
Median first response
24/7
Coverage across time zones
(Case study)
The challenge
Placeholder copy. Describe the client’s situation: support volume was growing faster than the team, response times were slipping, and knowledge was scattered across docs, tickets and people’s heads.
Our approach
Placeholder copy. We mapped the top ticket intents, built a retrieval pipeline over the help centre and past resolutions, and designed an agent that can look up orders, issue refunds within policy and escalate with a summary. An evaluation suite scored every release against real historical tickets before it shipped.
The outcome
Placeholder copy. Summarise the measurable results, what the support team now spends its time on, and what comes next.
62%
Tickets auto-resolved
1.4s
Median first response
24/7
Coverage across time zones
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