Thalawai AI,
Real-time AI voice operations for connected teams
Thalawai AI — AI Case Study
An AI-powered voice operations platform combining real-time calling, call records, contact management, AI tasks, reminders, and automated communication workflows.
Three numbers that
tell the story upfront.
Illustrative calls supported by AI
An AI-powered voice operations platform combining real-time calling, call records, contact management, AI tasks, reminde…
Illustrative reduction in manual follow-up
An AI-powered voice operations platform combining real-time calling, call records, contact management, AI tasks, reminde…
Illustrative faster call-to-action handling
An AI-powered voice operations platform combining real-time calling, call records, contact management, AI tasks, reminde…
Before we got here,
here's what wasn't working.
Thalawai AI brings voice conversations and follow-up work into a single workspace. Teams can handle AI-powered calls in real time, review recordings and transcriptions, manage contacts and shared files, and coordinate call routing, schedules, tasks, reminders, and automated actions.
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
BEFOREKeeping AI voice conversations responsive while handling calls in real time.
Use streaming voice interactions and the OpenAI Realtime API to support responsive conversations while call events are processed.
Keeping call outcomes and follow-up work connected across teams.
Bring recordings, transcriptions, contact messages, tasks, and reminders together in the CRM workflow.
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 Voice Calling — how we built it
Custom AI Voice Calling — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Call History, Recordings & Transcriptions — how we built it
Custom Call History, Recordings & Transcriptions — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Contact CRM, Messages & Files — how we built it
Custom Contact CRM, Messages & Files — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
AI Tasks, Reminders & Automated Actions — how we built it
Custom AI Tasks, Reminders & Automated Actions — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
5 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 Voice Calling
Handle voice calls with AI-powered, real-time conversations and interaction workflows.
Call History, Recordings & Transcriptions
Review call history, play back recordings, and read conversation transcriptions.
Contact CRM, Messages & Files
Keep contact details, communications, and related files together in a shared CRM workspace.
AI Tasks, Reminders & Automated Actions
Organize follow-up work with AI tasks, reminders, and automated actions.
Call Routing & Scheduling
Coordinate call routing, schedules, and communication across the platform.
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.
Related services
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something like this?
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