Client case study

Technical Support Voice Agent

80% faster response time on inbound technical issues

Results describe this client’s implementation. Your budget and likely benefit depend on your own workload.

Problem / opportunity

Technical support calls bottlenecked at intake — engineers spent the first 15 minutes diagnosing and routing instead of solving.

Do I need AI for this?

This build used AI for parts of the work. For your business, first separate interpretation and generation from tasks that can follow fixed rules.

What’s my budget?

Enter your workload and hourly wage in the calculator to estimate the value of time saved and your setup-and-running-cost ceiling. Keep extra income separate. These are planning limits, not cash savings or supplier quotes.

Can existing tools do this?

The stack below records what this client used. Check your existing software, subscriptions and provider connectors before choosing the same approach. The calculator checks current official documentation.

Do I need a custom workflow?

This client used an integrated workflow. Your requirements may be simpler: establish the missing triggers, actions, controls or connections before commissioning custom development.

Explore this workflow for your business

Calculate my AI Budget

Published client results

Technical Support Voice Agent

50% faster response time on inbound technical issues80% faster response time on inbound technical issues

Problem. Technical support calls bottlenecked at intake — engineers spent the first 15 minutes diagnosing and routing instead of solving.

Approach. Built a knowledge layer from technical runbooks, product documentation, and escalation paths. The voice agent validates the issue, routes it to the right engineering team, and documents the call in Autotask before a human picks up.

Claude HaikuAmazon BedrockAmazon ConnectAmazon PollyAutotask

Industry: Cloud Infrastructure Distributor · Dominican Republic
Team size: 50–100
Duration: 12 weeks
Launched: 2026