AI Call Center,
Initiate AI-driven calls with full logs, recordings, and summaries
AI Call Center — AI Case Study
An AI call center platform for initiating AI-driven calls, viewing detailed call logs, accessing full recordings, reviewing auto-generated transcripts, and receiving concise call summaries.
Three numbers that
tell the story upfront.
Calls resolved without human agent
An AI call center platform for initiating AI-driven calls, viewing detailed call logs, accessing full recordings, review…
AI response latency
An AI call center platform for initiating AI-driven calls, viewing detailed call logs, accessing full recordings, review…
Reduction in cost per call
An AI call center platform for initiating AI-driven calls, viewing detailed call logs, accessing full recordings, review…
Before we got here,
here's what wasn't working.
AI Call Center puts full-featured AI telephony at your fingertips. Initiate AI-driven calls by entering a number, providing instructions, and selecting a bot voice — then track every interaction through detailed call logs, full recordings, and automatically generated transcripts. Concise call summaries surface key insights at a glance, making it easy to monitor quality and performance across every conversation.
We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.
What wasn't working
BEFORESub-second end-to-end voice latency across STT → LLM → TTS
Parallelised the pipeline: STT chunks stream to LLM while TTS begins rendering the first sentence before the full LLM response completes.
Don't over-engineer.
Solve what matters, ship fast.
The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.
We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.
On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.
4 decisions we made early
CHOSEN / REJECTEDAI-Driven Call Initiation — how we built it
Custom AI-Driven Call Initiation — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Detailed Call Logs — how we built it
Custom Detailed Call Logs — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Full Call Recordings — how we built it
Custom Full Call Recordings — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Auto-generated Transcripts & Summaries — how we built it
Custom Auto-generated Transcripts & Summaries — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
4 features that
define the product experience.
Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.
AI-Driven Call Initiation
Initiate AI-driven calls by entering a number, providing instructions, and selecting a bot voice — ready in seconds.
Detailed Call Logs
View detailed call logs for analytics and performance tracking across every interaction.
Full Call Recordings
Access full call recordings for quality review and compliance, stored and searchable.
Auto-generated Transcripts & Summaries
Review user transcripts generated automatically and receive concise call summaries for quick insights after every call.
What changed,
measured against the day-one baseline.
We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.
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