AI sales assistant

An AI sales assistant helps most while the prospect is still on the line. Dialpad Sell brings real-time guidance into every sales call, surfacing battlecards when a competitor comes up, tracking your sales methodology as reps talk, and helping managers spot calls that need attention. When the call ends, it writes the recap and logs it to your CRM.

In an IDC Business Value Study based on interviews with Dialpad customers, sales teams using Dialpad were 19% more productive.

Plans & Pricing

What is an AI sales assistant?

An AI sales assistant is software that uses artificial intelligence to support sales reps and managers, during and after customer conversations. It can transcribe calls, surface answers and battlecards in real time, track adherence to a sales methodology, summarize calls, log activity to the CRM, and highlight coaching opportunities.

Some AI sales assistants work only after the call, analyzing recordings and transcripts. Others work during the call, listening to the conversation and guiding the rep while the outcome can still change. Dialpad Sell does both, because calling, AI, and analytics run in one place.

AI sales assistant vs. AI sales agent vs. sales copilot

The terms overlap, but they usually describe different jobs:

	AI sales assistant	AI sales agent	Sales copilot
Who talks to the buyer	The human rep	The AI	The human rep
What the AI does	Guides, summarizes, logs, and scores conversations	Holds the conversation and takes actions, such as qualifying a lead or booking a meeting	Answers the rep's questions and drafts content on request
When it works	During and after calls	In place of a first conversation, or before a handoff	Whenever the rep prompts it
Typical example	Live coaching cards and AI call recaps	Voice and digital AI agents for inbound lead intake	A chat assistant inside the CRM

Many sales teams use more than one. A practical setup might have AI agents handle first contact and qualification, then hand the lead to a rep, with an AI sales assistant guiding that rep through the call.

How does an AI sales assistant work?

Most AI sales assistants follow the same basic loop: capture the conversation, understand it, act on it, and keep a record.

Capture. Speech recognition transcribes the call as it happens, for both the rep and the prospect.
Understand. Natural language processing (NLP) and machine learning models pick out what matters, such as keywords, questions, objections, competitor names, and how the conversation feels.
Guide. When something important comes up, the assistant responds in the moment. It might show the rep a battlecard, check off a discovery question, or show a manager that a call is going badly.
Record. After the call, it summarizes the conversation, pulls out action items, scores the call against your criteria, and logs everything to your CRM.

How well this works depends heavily on where the AI sits. An assistant that runs inside the same system as your calls can transcribe and analyze conversations in real time. Dialpad AI is trained on business conversations and runs natively in Dialpad Sell, so the guidance and the record come from the same conversation data.

An AI sales assistant built into Dialpad Sell

Dialpad Sell is a sales dialer and outreach solution with Dialpad AI built in. Because reps make their calls in Dialpad, the AI can help during the conversation and then turn it into a usable record without a separate recording tool.

During the call: answers and objection handling in real time

AI Live Coach Cards pop up on the rep's screen when Dialpad AI detects a trigger word or phrase, whether the rep or the prospect says it. Sales managers can build cards for pricing questions, common objections, or competitor names, so a rep hears "we're also looking at Competitor X" and sees the right sales battlecard a moment later. Cards also work in external Dialpad Meetings, which helps during demos.

AI Live Coach goes a step further, searching your connected knowledge sources to find answers to questions as they come up, so reps don't have to put a prospect on hold or message a manager.

During the call: methodology tracking with AI Playbooks

AI Playbooks lay out the questions and talking points your methodology requires, such as BANT, SPICED, or SPIN. As the rep covers each step, Dialpad AI checks it off on screen, and managers can see what was missed without listening to the full call.

During the call: live sentiment for managers

With live sentiment analysis, managers can watch the tone of active calls from one screen. When a call trends negative, they can open the live transcript, understand the context, and decide whether to step in before the deal slips.

After the call: summaries and CRM logging

When a call ends, AI Recaps generate a summary with action items and highlights alongside the transcript and recording. With Dialpad's CRM integrations for tools like Salesforce, HubSpot, and Zoho CRM, calls and texts can be logged to the CRM automatically, so reps spend less time on notes and the record stays complete.

After the call: QA and coaching

AI Scorecards suggest when scorecard criteria were met on each call, which can speed up QA reviews and point managers to specific coaching moments. The AI Coaching Hub brings scorecard grades, performance metrics, and leaderboards into one view for planning sales coaching.

Across calls: sales call intelligence

One call shows how a deal is going. Hundreds of calls show why deals are won and lost. Dialpad's sales call intelligence helps revenue leaders spot recurring objections, pricing concerns, competitor mentions, and deal risks across conversations, and use them to inform messaging, enablement, and sales strategy.

How AI helps coach BDRs and new sales reps

New SDRs and BDRs usually need the most help on live calls, and managers often have a lot to cover across their teams. An AI call coach closes part of that gap. Live coach cards act as an always-available cheat sheet for objections and product questions, AI Playbooks keep discovery calls on track, and AI Scorecards show managers where each rep needs work without reviewing every recording.

For Corovan, a transportation and logistics company, those training features cut rep onboarding from about a week to one day. The team credits real-time coaching cards with getting new sales reps productive faster.

ConstructConnect, which provides data and software for the commercial construction industry, used Dialpad to standardize coaching across its sales teams and saw a 28% year-over-year improvement in inbound lead conversion rates.

"Dialpad played a key role in helping us bring coaching, scorecards, and process standardization to life."

- Terah Volpenhein, Chief Revenue Officer, ConstructConnect

The common thread is consistency. When every rep gets the same in-call guidance and every call is scored against the same criteria, coaching conversations can start from what actually happened on calls rather than what a rep remembers afterward or what a manager had time to read in a transcript. That's the foundation of Dialpad's approach to AI sales coaching.

Where AI agents fit alongside an AI sales assistant

An AI sales assistant can make your reps more effective on calls. AI agents can take some calls off their plate entirely, especially the first conversation with an inbound lead.

Dialpad Resolve provides AI agents for voice and digital interactions that can handle work like:

Qualifying inbound leads and routing them to the right rep or team
Capturing leads after hours and booking meetings on reps' calendars
Answering common product and pricing questions
Looking up order or account status for existing customers

When a conversation needs a person, the AI agent hands it to a rep along with context such as the reason for the call, the details already collected, and the customer's desired outcome. The rep doesn't start from zero, and the AI sales assistant can pick up from there during the live call.

This can have the most impact for teams that run both inbound and outbound contact center operations. Sales reps, support agents, and AI agents can all work in Dialpad's platform, so customer context can carry from the first AI-handled conversation through the sale and into support.

Key features to evaluate in AI sales assistant software

AI sales assistant tools vary widely, and each may focus on a different part of the sales process. These are the questions that tend to separate them:

Does it work during the call, or only after? Post-call summaries are useful, but real-time guidance is what helps a rep handle an objection while the prospect is still listening.
How does it work with your calls? Look for AI that works natively with your calling, so transcription, coaching, and analytics can draw from the same conversation data.
How does it connect to your CRM? Look for automatic logging of calls, texts, and summaries to tools like Salesforce or HubSpot, plus click-to-call from inside the CRM.
Can managers act on what it finds? Look for live call monitoring, scorecards, methodology tracking, and a single view of coaching data, beyond transcripts.
Does it measure outcomes, not just activity? Call counts and talk time are easy to track. Look for insight into sentiment, objections, and which conversations lead to deals.
How is customer data protected? Ask how the vendor handles security, privacy, and AI data use. Dialpad's practices are documented in the Dialpad Trust Center.
Will it grow with your team? Adding a new team or region should be a configuration change, not a new tool.

Benefits of an AI sales assistant

More selling time

Notes, CRM updates, and searching for answers take time away from conversations. When AI handles sales automation tasks like transcription, call summaries, and activity logging, reps can spend more of the day talking to buyers.

Better conversations in the moment

Real-time guidance helps reps answer tough questions, respond to competitor comparisons, and cover every step of discovery while the prospect is still on the line. That consistency can help shorten the sales cycle and improve conversion rates.

Coaching that scales

Managers can't listen to every call. AI can score calls against the same criteria every time and show which reps need help with what, so coaching time goes where it has the most impact.

A clearer picture of your buyers

Every sales call holds information about what buyers care about, what worries them, and who else they're evaluating. When those conversations happen in one place, they add up to insight that helps sales leaders truly understand their customers and make better decisions.

Will AI replace sales reps?

Unlikely, at least for complex sales. Building trust, reading a room, and negotiating still depend on people. AI is better suited to the repetitive, data-heavy parts of the job, which frees reps to focus on the human parts.

The teams that see results usually start small. Pick one or two workflows, such as live coach cards for your top objections or automatic CRM logging, run a pilot with one team, and compare results before and after. Measure outcome quality, such as conversion and customer sentiment, not just activity volume. Then expand what works.

One platform for every customer conversation

Dialpad Sell is part of Dialpad's AI platform for customer experience, alongside Dialpad Connect for business communications, Dialpad Support for contact centers, and Dialpad Resolve AI agents for voice and digital interactions. Dialpad products run on the same platform, so calling, messaging, meetings, and inbound and outbound contact center work share one app and one set of customer data.

For sales teams, that means the context from a prospect's first conversation can follow them from AI agent to rep to support team. Each of those conversations can add to the conversation intelligence your business uses to make decisions, turning interactions into operational insight.