The AI sales agent that turns conversations into revenue
Qualify the visitors who are ready to buy and personalize the pitch to what they need. When a sale stalls, pick it back up where the buyer left off.

What is an AI sales agent?
An AI sales agent is an AI-native platform you connect to your business that helps grow revenue. The agent talks with customers, understands what they need, and moves them toward the right decision.
What are the types of AI sales agents?
There are 3 types of AI sales agents. Outbound agents (often called AI SDRs) prospect cold lists, and assistive agents (or copilots) draft emails and call notes for reps to approve. Inbound, customer-facing agents talk with the buyers already on your site or in your app and guide them to a purchase, and that's the type Delight.ai builds.

Outbound AI SDR
Automates outreach, qualifies prospects, and books meetings to build pipeline for your sales team.

Customer-facing agent
Delight.ai's AI sales agent works with buyers already on your site. It answers their questions, remembers what they've told you, and guides them through to purchase.
How do AI sales agents compare to chatbots and AI SDRs?
A chatbot follows a script, and an AI SDR works cold lists for your sales team. The table shows how a customer-facing AI sales agent differs from both on 5 capabilities.
| Capability | AI sales agent | Chatbot | AI SDR |
|---|---|---|---|
| Works inbound | Yes | Yes | No |
| Works outbound | Warm audiences only | No | Yes, cold outreach |
| Personalizes | Yes, every message | No, it follows a script | First message only |
| Recovers stalled sales | Yes | No | No |
| Remembers across sessions | Yes | No | Limited to CRM notes |

How does an AI sales agent turn support into sales?
Buying questions don't wait for a separate chat. A shopper tracking an order may want an add-on, and an account question can turn into an upgrade. Delight.ai runs sales and support on one customer agent, so those moments become sales instead of closed tickets. "Whether a member is browsing for a grill, looking up club hours, or asking about a renewal, they're talking to the same Bev." Scott Vandegrift, VP of Product, BJ's Wholesale Club (2026)

One customer agent vs. separate sales and support tools
Delight.ai's own research, the Delight AI Index, found that 71% of consumers already use AI customer service, but only 57% like the experience they're getting. An AI sales agent closes that gap by personalizing each conversation to what the buyer already told you. It can be the difference between a business that answers customers and one that grows revenue from every conversation.
71%
of consumers already use AI customer serviceOnly 57%
like the experience they're getting
How an AI sales agent grows your revenue
A new visitor might be a genuine buyer, or just browsing. Delight.ai reads the signals and routes each visitor to the appropriate next step.
How it works: memory plus an Actionbook match intent to the right person.

A technical question shouldn't mean repeating yourself three times. Delight.ai pulls account data, documentation, and past conversations into one answer.
Mixpanel: roughly 10 minutes of manual account verification, gone.
Shoppers describe what they want in their own words, and Delight.ai's Agent Memory Platform (AMP) translates that into the solutions that actually fit.
Hanssem: purchase conversion rose 30% in four weeks.
A stalled cart, quote, or application can still close. Delight.ai remembers exactly where the customer stopped and re-engages on the right channel.
How it works: Delight.ai picks up mid-checkout, mid-quote, or mid-signup, exactly where the customer left off.
Selling B2B?
The B2B AI agents guide goes deeper.
What should you look for in an AI sales agent?
These 6 checks show whether an AI sales agent will grow revenue or only answer questions. Each one maps to a moment your buyers notice.
Works the conversations buyers start
Buyers ask on your site, in your app, by text, or by phone. An agent limited to outbound email never meets the buyer who is ready today.
Remembers the buyer between visits
A shopper who compared two sofas on Monday shouldn't have to explain their room size again on Thursday. Memory turns a return visit into a faster sale.
Completes the next step
Answering a sizing question is half the job. The agent should also be able to check stock, place the order, or book the call.
Hands off with the full story
When a deal needs a person, your rep should get the whole conversation instead of a one-line summary and a customer who has to start over.
Lets you test before buyers see it
Staging environments and gradual rollouts let you check answers on real conversations before the agent talks to every buyer.
Keeps a record of every answer
If a buyer disputes a price the agent quoted, an audit trail shows exactly what was said and why, so your team can settle it fast.
How Delight.ai's AI sales agent works
Agent Memory Platform remembers history, preferences, intent.
Omnipresence spans chat, SMS, WhatsApp, email, voice.
A person sets the Actionbooks, which let the agent decide what happens next.
Agent Steward carries context through every handoff.
Trust OS keeps a full audit trail, so you can prove what the agent said, review every conversation, and train it to improve.
Results from real Delight.ai deployments

See Delight.ai's AI sales agent in action
One conversation. Every stage of the sale.