ChatSuggest
Live call transcription with an AI answer ready before you need it.
- Client
- ChatSuggest
- Sector
- Sales enablement and communication
- Our role
- Product build on the MERN stack
- Status
- Live, released as a public beta
The brief
What was breaking
High-stakes conversations reward preparation, and preparation does not scale. A candidate cannot memorise every DevOps question, and a sales associate cannot research every prospect before every call. The information usually exists. It is just not available in the ninety seconds when it would help.
- Every interview, pitch, and sales call needed manual research that took longer than the conversation itself.
- Communication quality varied by person and by how much time they had to prepare that week.
- Knowledge gaps surface mid-conversation, exactly when there is no opportunity to go and close them.
What we built
The system we delivered
Live transcription during the call
The conversation is transcribed as it happens, with a manual fallback for when transcription cannot start, so the assistant is working from what was actually said.
Answers generated as the other side speaks
A response is drafted from the live transcript, and can be generated automatically the moment a transcription segment ends rather than on a button press.
A prompt library for real scenarios
Each prompt sets who you are, who you are speaking to, and what the conversation is, covering job interviews, growth-hacker screens, fund accounting, sales prospecting, and investor Q&A.
Shared and private prompt sets
Public prompts give new users working setups immediately, while private prompts let a team keep their own scenarios.
Usage-based billing
Time is bought in blocks with the remaining balance visible in the header during a session, so users can see what a call is costing while it runs.
Built with
The stack behind it
The lead tier is what makes this system what it is. Everything under it is the platform that carries it.
AI and intelligence
Frontend
Backend
Platform
What changed
The result in production
Research time collapses into the call itself
The preparation step is replaced by suggestions that arrive while the conversation is still happening.
Consistent communication across a team
Shared prompt setups mean everyone walks into the same kind of call with the same quality of support.
A feedback loop into the product
Users report what helped and what missed, which drives what the assistant is tuned on next.
The screens
What it looks like in use
Same problem?
Let's scope what this would look like for you
Start with a two-week Discovery Sprint. We map your highest-value workflows and deliver a prioritised pilot roadmap grounded in what we have already shipped.