AI Assistant for Client Meetings and Sales Calls

What goes wrong in client meetings

Ask anyone who runs client calls for a living and the same moments come up:

• The question you did not prepare for. "Can it also export to SAP?" "What happens to our data if we cancel?"
• Scope creep in real time. "While we're at it, could you also add..." and saying yes too fast.
• The pricing push. A discount request, a budget objection, a comparison with a cheaper vendor.
• "As we discussed last time..." and you cannot remember what was discussed last time.
• Second-language pressure. You know the answer, but finding polished English words on the spot is hard.
• The follow-up that never gets written because the next meeting starts in two minutes.

Kalfi addresses each of these directly, without changing how the meeting looks to the client.

Client meeting mode, field by field

Each session has a type. Client meeting mode asks for exactly what a client call needs:

• Client: who you are talking to and their role.
• Project or feature: what the meeting is about.
• Scope and requirements: what has been agreed. This is what keeps answers honest.
• Meeting goals and notes: what you want out of this call.
• Talking points: pricing rules, product facts, case studies, objection handling, anything you want reused naturally.

Then set answer length (brief, balanced or detailed), tone (formal, neutral or casual) and the meeting language. The system prompt tells the AI to prefer action-oriented answers ("We can...", "Next step is...", "The risk is...") and to use earlier turns in the same thread as memory.

Four real-world scenarios

Agency account manager: the scope question

The client asks: "Can you add a loyalty program to the app before launch?" With the scope loaded, Kalfi drafts: "Loyalty isn't in the current scope, which covers checkout and accounts. We can scope it as phase two. If launch can't move, the fastest option is a simple points banner, and I'll send an estimate by Thursday." You stay helpful without silently absorbing extra work.

Freelancer on an Upwork client call

Many freelancers win and keep clients on video calls in English that is not their first language. Put your service, rates and portfolio highlights in the context. When the client asks about timeline, revisions or rate, Kalfi suggests a clear answer you can say in your own voice. If you miss part of the question, press Mic Ask and restate it.

SaaS pre-sales engineer: the technical demo

A prospect asks about SSO, data residency and API limits in the same five minutes. Paste the security overview and integration notes as talking points, and Kalfi drafts precise answers from them. Questions it cannot answer from your material are the ones to note down and follow up on, not to improvise.

Customer support and success

Support calls are client meetings with less time to think. The full workflow for support teams, including technical troubleshooting and refund conversations, is in AI assistant for customer support calls.

Memory: threads and summaries

Client work is a series of meetings, not a single event. In Kalfi you start each follow-up meeting inside the same project thread, so the context is already there. At the end of each meeting, Summary writes an overview, key points, decisions and commitments, and open questions with next steps. Paste it into your follow-up email or project tool and the next call starts from a shared record instead of memory. More on note taking in AI meeting assistant for notes and summaries.

It knows who said what

In Both mode Kalfi transcribes the meeting audio and your microphone separately. The transcript labels each line as Client or You, and the AI receives that labelled conversation. That matters: your own sentences do not trigger answers, and when you restate a client's question with Mic Ask, Kalfi knows it is your restatement and answers the client's question instead.

How Kalfi compares

Getting started

1. Download Kalfi for Mac or Windows at kalfi.app and sign up. The 3-day trial includes Hosted AI.
2. Create a Client meeting session and fill in client, project, scope and talking points.
3. Select Both as the audio source and press Start when the call begins.
4. Use the suggestions, Mic Ask for missed questions, and Summary at the end.
5. For the next meeting, continue the same thread.

Pricing

Hosted

$19 / mo

AI included. $180/year.

Team

$49 / mo

Three hosted seats, one invoice.

Bring your own OpenAI or OpenRouter key for $14/month, or buy a $9 Single Session for one big call. Every new account gets 3 days free with Hosted AI, no card required.

Questions