Let an AI agent carry the sale to its next step

An AI sales agent is software that converses with prospective buyers, checks approved business data and completes sales tasks inside the same interaction. Unlike a scripted reply tool, it can interpret an open request, choose the next allowed action, update the customer record and involve a person when judgment is required.

The useful boundary is action. A writing assistant may draft a message, and an automation may move a record after a fixed trigger. A sales agent works through the live exchange: it understands what the buyer is trying to do, gathers missing details, calls the tools you allowed and reports the result in the conversation.

That does not make the agent an unsupervised salesperson. Your catalog, policies, calendars, payment account, CRM fields and escalation rules define the ground it can stand on. Your team still owns exceptions, negotiation and any decision that needs human judgment.

On WhatsApp and Instagram, an AI sales agent receives the buyer's message, identifies the request, retrieves approved product or policy data and takes the permitted next step. Eva keeps one customer history across channels, records the outcome in its CRM and pauses when a person takes control of the conversation.

A buyer does not need to follow a menu. They can ask in ordinary language, send a voice note or share a product image. Eva can clarify the request, look up the verified product detail and continue with the same business rules on either channel.

The channel still sets boundaries. On WhatsApp, starting a new outbound exchange outside Meta's conversation window requires an approved template, billed by Meta separately. Instagram and Messenger have their own delivery windows. Eva records a visible event when a channel cannot deliver instead of pretending the message was sent.

A traditional bot usually matches a choice or phrase to a prepared branch. An AI sales agent interprets open language, checks connected data and can complete an approved business action. The practical test is not how natural the reply sounds; it is whether the system can verify facts, act and leave an auditable record.

A traditional bot is often the right tool when every request fits a short, stable menu. It is predictable, easy to inspect and inexpensive to maintain. The tradeoff appears when buyers describe the same need in dozens of ways or when the answer depends on a live catalog, calendar or customer record.

Eva uses the agent model because sales conversations rarely stop at information. The buyer asks, changes a condition, sends a file and expects the next step to reflect all of it. The table separates the jobs without pretending one approach wins every case.

SDR automation usually organizes prospecting: list research, outbound sequences, reminders and record updates. An AI sales agent works inside the two-way buyer conversation, where the next step depends on what the person asks. Eva focuses on serving, qualifying and advancing inbound conversations across messaging channels, with human takeover when needed.

The two can complement each other, but they solve different moments. A sequence tool decides when a prepared touch should happen. A conversational sales agent decides what the current message means and whether the allowed next action is a question, a quote, a booking, a payment step, a follow-up or a handoff.

Eva is not a cold-outreach list builder. It works with the people and channels your business connects, under channel consent and delivery rules. If your main problem is sourcing accounts for outbound prospecting, choose a tool built for that job. If buyers already write and the sale stalls inside the conversation, that is Eva's lane.

AI sales agents fit industries where buyers ask variable questions but the business has a repeatable next step. A distributor can identify and quote a product, a clinic can collect booking details, a dealership can narrow inventory, and a professional firm can gather context before routing the conversation to the right person.

The shared pattern matters more than the industry label: the answer must come from approved data, and the next step must be a tool the agent is allowed to use. A catalog, a knowledge source, a calendar, a CRM stage or a payment account gives the conversation something reliable to act on.

The limits change by business. A professional-services firm may require a person before giving advice. A distributor may allow quoting but reserve negotiated terms for an account manager. A clinic may let the agent find a slot but require staff confirmation for a special procedure. Those rules belong in the configuration, not in a generic script.

Eva starts at $191 USD with annual billing or $229 USD month to month for the Essential plan. That plan includes 5,000 credits and 5 users. Assisted implementation is separate at $579 USD one time. Meta may also charge for delivered WhatsApp templates outside its conversation window.

Compare the whole operating cost, not one subscription number. The relevant lines are the included capacity, the number of team users, implementation, any extra capacity or users, and channel charges collected by Meta. Eva publishes each current amount on its pricing page so you can do that arithmetic before a call.

The right plan depends on how many agent responses your conversations use, not on a promised number of sales. Start with a representative week of messages, identify the conversations the agent should handle and keep a human-review path for the rest. That produces a more useful estimate than multiplying every incoming message by one response.