The best AI agent for a sales team is usually the one built into your CRM: Agentforce for Salesforce, the sales agents in Dynamics 365, the Prospecting agent for HubSpot. Buy a standalone product such as 11x or Artisan when outbound volume is the job and your CRM agent can't run it. Build a custom agent when the work crosses systems no product connects.
This guide names the products in each category and what they publish about price. We read every vendor page on 5 November 2026. We have not run controlled tests of these products, so the recommendations rest on what the vendors publish and on our own delivery work. ATI builds custom agents, so we have a stake in the last category and say where it is the wrong choice.
What does it mean to treat an AI agent as a sales employee?
An AI agent works as a sales employee when it owns a defined task, such as qualifying inbound leads or updating opportunities, and someone can check what it did. The test is practical: it has a named job, a person it escalates to, a log of its actions and a metric you would also apply to a junior rep. A tool that drafts an email when asked is an assistant. Our AI employee vs human hire cost comparison covers when this replaces a hire and when it only adds capacity.
Which AI sales agents should you compare in 2026?
Compare the agent in your own CRM first, then add one standalone outbound product and one conversation product only if your task needs them. Prices below are as published on 5 November 2026. Three of the six vendors quote on request or publish no figures, which matters when you budget.
| Product | Job it is sold for | Published price |
|---|---|---|
| Salesforce Agentforce | Prospect research and outreach, lead follow-up, meeting booking, opportunity updates, pitch practice, quoting | $125 per user per month add-on for Sales, or Flex Credits at $500 per 100,000 |
| Dynamics 365 Sales agents | Sales Qualification, Opportunity, Research and Close agents (Close is marked as a preview) | Sales Enterprise $105, Premium $150 per user per month, paid yearly. Agents also need Copilot Credits; Premium includes 1,000 |
| HubSpot Prospecting agent | Researches accounts, finds contacts, drafts personalized outreach | 100 credits per lead; a pack costs $10 per 1,000 credits, so $1 per lead |
| 11x (Alice, Julian) | Alice runs outbound email and social; Julian handles inbound and expansion by voice | None published; the site offers demos |
| Artisan (Ava) | Outbound end to end: finds leads, sends outreach, handles replies, books meetings | Credit-based plans scoped to lead volume, mailboxes and dialer seats; no figures in the pricing summary we read |
| Gong (Gong Agents) | Captures customer interactions, then automates follow-ups, pipeline edits and forecast corrections | Per-user licences plus a platform fee; amounts by quote |
Is an Agentforce seat cheaper than Flex Credits?
The $125 add-on is cheaper once a rep's agent usage passes about 1,250 actions a month. Salesforce charges 20 Flex Credits per action, which works out to $0.10 at the list rate of $500 per 100,000 credits, and $125 divided by $0.10 is 1,250. Salesforce says the add-on includes unmetered employee usage. That is our arithmetic on list prices and leaves out any user licence, such as the $5 per user Agentforce User License that runs on Flex Credits. A customer-facing conversation at $2 costs the same as 20 metered actions, so count how many actions a typical conversation takes before you choose. Salesforce also says Flex Credits and Conversations can't be used in the same org.
What types of AI sales agent are there?
There are seven common types, and the choice depends mostly on where your sales data lives and how much risk a mistake carries.
1. CRM-embedded agents
These run inside the CRM and act on its records, so they are the fastest to start. Agentforce, the Dynamics 365 agents and HubSpot's Prospecting agent sit here. They suit pipeline hygiene, activity logging and rep coaching. Their limit is the CRM itself: work that crosses into other systems needs connectors, and the roadmap belongs to the vendor.
2. Cloud agent platforms
These are managed platforms for building your own agents on top of a vendor's models and connectors. Microsoft Copilot Studio is one example: its agents are paid for in Copilot Credits, on a pre-purchase or pay-as-you-go plan, and need an Azure subscription. They suit companies with several CRMs or data sources and an internal owner. Expect more integration effort than an embedded agent and some lock-in to the platform.
3. Autonomous outreach agents
These source leads, write and send sequences, and hand off replies. 11x's Alice and Artisan's Ava are sold for this job. The risk is reputational and it lands on your sending domain, so they need approval rules, sending limits and a named person who reviews samples each week. We explain why we would start elsewhere in AI pipeline generation for mid-market sales teams.
4. Conversation and voice agents
These work on live calls, either prompting a rep or handling simple calls alone. 11x's Julian qualifies inbound demand by voice; Agentforce prices voice actions at 30 Flex Credits. Call recording and consent rules apply, so check them with counsel in each country you call before switching this on.
5. Deal intelligence agents
These read calls, contracts and pricing to flag risk and correct the forecast. Gong Agents cover follow-ups, pipeline edits and forecast corrections, and Agentforce covers quote generation and amendments. They need clean deal data, and any recommendation on contract terms or concessions needs legal or deal-desk sign-off.
6. Human-in-the-loop agents
This is an operating setup you can apply to any type above: the agent finishes low-risk tasks and routes the rest to a named person. Artisan, for example, describes approvals and escalation rules for Ava. We would start here for strategic accounts and regulated industries. It costs more design work at the start because someone has to define what counts as low risk.
7. Custom agents
A custom agent is built on licensed models and connected to your own systems through APIs or browser automation. Choose it when your process is unusual or the data can't leave your environment. Skip it if a CRM agent already does the task, because you take on build and maintenance costs a subscription would have covered. In-house AI team vs AI agency compares who should build it, and ATI's AI Employee is our managed version for sales, support and operations.
What should a sales team automate first?
Automate the handling of demand you already have before you automate outbound. Inbound intake is easy to measure, because you can count missed leads and time to first response, and an error stays inside your company. Outbound errors reach prospects and your sending domain.
Our own example is an email-to-CRM build: it reads project emails, captures the requirements and creates the CRM project record. Setup became 80% faster and no offers were missed, as described in our case studies. It is one system and it did not touch cold outreach, so we can't offer it as evidence about outbound agents.
How do you pilot an AI sales agent?
Pilot one task on a limited set of accounts, with a human-only group to compare against and a metric agreed in advance.
- Pick one task with a clear metric, such as lead qualification measured by time to first contact.
- Start with your CRM's own agent unless the task sits outside the CRM.
- Keep a human-only control group and review the agent's actions daily at first.
- Measure conversation-to-opportunity rate, time to first contact, rep hours saved and error rate. Our AI ROI calculator estimates the return.
- Fix prompts, escalation rules and source data before adding accounts.
Data and security checklist
- Confirm data residency and encryption meet the rules that apply to you, such as GDPR or SOC 2 commitments.
- Set role-based access, single sign-on and audit logs for agent actions.
- Filter and record the external sources the agent can read.
- Define how personal data is handled and redacted in transcripts and emails.
- Test outputs for made-up facts and set the point at which a person reviews them.
Our AI implementation risk checklist maps AI project risks to the NIST AI RMF and the OWASP LLM Top 10.
Getting reps to use it
- Tell reps which tasks the agent takes over and which stay with them.
- Train them to check and edit its recommendations.
- Give them a clear way to escalate, and a manager who collects complaints.
- Track usage and rep feedback during rollout.
What to measure after the pilot
- Lead qualification rate and conversion.
- Hours saved per rep per week.
- Pipeline velocity and win rate on agent-assisted deals.
- Share of activities logged automatically.
- Compliance incidents and audit findings.
Frequently asked questions
How do I pick between a CRM-embedded agent and a cloud platform?
Choose the CRM-embedded agent when the task lives in the CRM. Choose a cloud platform when the agent has to work across several systems and you have someone to own it.
Are AI sales agents safe to use in regulated industries?
They can be, if you control data residency, audit logs, redaction and human review. Ask each vendor for its compliance documents, and check outreach and call-recording rules with counsel for each market.
Will AI agents replace sellers?
In the deployments we would recommend, agents take routine work such as logging and first-pass research, while people keep relationships and negotiation. Teams may still hire fewer people for routine prospecting; our hire comparison runs that math.
How quickly can I measure ROI?
Time saved shows up as soon as the workflow is live, and ATI's published timeline to the first workflow live is 6–12 weeks. Win-rate effects take longer because they depend on your sales cycle and need enough closed deals to compare.
How much does an AI sales agent cost?
Published list prices include $1 per lead for HubSpot's Prospecting agent and $125 per user per month for the Agentforce add-on, as of 5 November 2026. Dynamics 365 agents need a Sales licence and Copilot Credits. 11x, Artisan and Gong publish no amounts on the pages we read, so ask for a quote.
How to choose
Write down the one task you want taken off your reps, then check whether your CRM's agent can do it. If you need help scoping that task or connecting systems the products don't reach, see what we have built and talk to ATI.
Product and price facts come from vendor pages read on 5 November 2026 and change often, so confirm them with the vendor before you budget. Drafted with AI assistance.