Qualified alternatives (Piper AI) in 2026: what GTM teams are evaluating after the Salesforce acquisition

‍TL;DR: the best AI SDR tools by use case

• The AI SDR category covers two distinct tool types in 2026: outbound (prospecting and cold outreach at scale) and inbound (qualifying website visitors in real time). Before evaluating any specific tool, figure out which problem you are actually trying to solve.
• Best for inbound qualification: RepX by Storylane qualifies visitors and demos the product in the same session, a capability not found in other inbound tools we reviewed.
• Best for outbound prospecting: AiSDR, Salesforge, Artisan, and 11x.ai each have genuine strengths for different outbound motions.
• Best for data and enrichment: Clay and Apollo.io are the tools that power the AI SDR workflow before outbound sequences run.

There is a useful version of the AI SDR software category and a confusing one. The confusing version treats all these tools as roughly interchangeable, differing only in price and feature count. The useful version recognizes that tools built to find new prospects through cold outreach and tools built to qualify visitors already at your website are solving genuinely different problems, and require genuinely different architectures to solve them.

The eight tools in this roundup are organized by which problem they were built for. Most "best AI SDR tools 2026" lists lump everything together. I’ve made sure that this one does not. (Nine tools total, up from our original eight, after adding 1Mind to the inbound category.) Wherever possible, I’ve tried out the product to share my two cents on the experience (all opinions are personal).

This list is updated for Q2 2026. Some AI SDR platforms that were early stages a year ago have matured meaningfully. A few others have stagnated. The distinctions matter more now than they did when the category was newer. For a broader look at the G2 AI SDRs category, their rankings track closely with the patterns we see below.

Why the right AI SDR tool depends on where your pipeline is breaking

There is a diagnostic question worth asking before any AI sales agent evaluation: is your problem that you need more conversations with new prospects, or is it that you are not converting the demand that is already arriving at your website?

If your pipeline is thin because you are not generating enough top-of-funnel activity, outbound AI SDR tools are the right category. These automate the research, personalization, and sequencing that SDRs do to build cold pipeline from target account lists.

If you have meaningful website traffic and it is not converting into qualified pipeline, the inbound AI SDR category is more relevant. These tools engage visitors in real time, answer product questions, surface product demos, and qualify intent without requiring a form fill or a calendar invitation. This is what intent-based marketing looks like in practice: capturing buying signals from visitors who are already on your site.

Both types exist in the market. The eight tools below are organized by type so the comparison is actually useful.

AI SDR tools comparison: the 8 best platforms for B2B teams in 2026

G2 ratings as of Q2 2026. Pricing reflects publicly available information and may vary by contract terms.

Inbound AI SDR tools

1. RepX by Storylane: best inbound AI SDR tool for demo-led qualification

RepX turns your website visitors into qualified pipeline without requiring a form fill, a calendar invite, or a human SDR in the loop. It is Storylane's inbound AI SDR: a voice and video agent that engages visitors in real time and qualifies them mid-demo.

What sets RepX apart from other inbound platforms in this roundup is demo-nativity. When a visitor asks a product question, RepX does not respond with a generic chat message or a link to a help article. It surfaces the relevant Storylane interactive demo and walks the visitor through it mid-conversation. You get qualification and product demonstration in the same session, something none of the other tools on this list offer (verified across G2 feature comparisons in the AI SDRs category).

RepX is trained on your product documentation, website content, and sales call transcripts. When the conversation signals genuine fit, it routes the visitor to a calendar booking or self-serve signup and pushes the full conversation context to your CRM. Your rep follows up with a complete picture of what the visitor asked, which demo they watched, and where interest peaked.

One B2B SaaS team using RepX reported that their website-to-meeting conversion rate increased by 40% in the first 60 days, primarily because buyers could self-qualify through a demo before committing to a sales call.

Deployment typically takes under a week. Pricing starts at $1,500/mo.

Honest tradeoff: RepX is purpose-built for inbound. If your bottleneck is generating new cold pipeline from prospect lists, this is not the tool for that job.

Best for: B2B SaaS teams whose buyers want deep product understanding before committing to a full sales conversation. See how it works on the RepX AI Sales Agent product page, or compare it with other sales demo tools in a broader context.

2. Qualified (Piper): best for Salesforce-native enterprise inbound

If your team runs Salesforce and needs every inbound interaction enriched with deal history and account signals, Qualified's Piper is built for that workflow. With 4.9 stars across 1,400+ G2 reviews, it is the dominant inbound AI SDR for enterprise Salesforce environments. Real-time account signals, deal history, and CRM data feed into how Piper qualifies and engages each visitor. If a prospect is already in an active Salesforce opportunity, Piper knows it and adjusts the conversation accordingly.

My personal opinion: Piper has a clean UI and, for the most part, runs pretty seamlessly. I especially like that the chat modal isn’t intrusive to the rest of my browsing experience, it sits on the right side of the screen. That being said, I think the experience falters when it comes to showing off the actual product (no interactive demos, product walkthrough videos, etc) which is quite a bummer. To me, the whole point of an inbound SDR is self-guided product discovery and qualification.

The tradeoff is the pricing and implementation commitment. At roughly $42K per year with enterprise-scale onboarding, Qualified is a serious investment. For teams outside the Salesforce ecosystem, or teams that need to get an inbound AI SDR live quickly at lower cost, RepX is the more accessible starting point.

Best for: Enterprise B2B teams where Salesforce is the center of their revenue operations and real-time CRM signal integration is a requirement.

3. 1Mind (Mindy): enterprise inbound AI SDR with a video-native persona

1Mind’s Mindy is a video-native AI agent with a lifelike human avatar that engages website visitors in real-time video conversations. The positioning is a "Superhuman" closer that can hold an enterprise-quality discovery conversation without the latency or inconsistency of a human rep.

My personal opinion: For how much Mindy/1Mind reportedly costs, I have to say: I was disappointed with the experience. Have a look at the screenshot above, even after repeated attempts, Mindy failed to pull up functioning assets. But maybe (hopefully) this is a one-off issue. Given the logos 1Mind works with, I’m sure their product does work reliably for the most part.

Overall, with 1Mind, the differentiator is the “realism” and “presence” of the interaction. For companies selling complex, high-ACV products where trust and perceived competence in the early conversation matter, a video-native AI agent can cover more discovery ground in the first touchpoint than a text chat or voice-only approach (but only when it works). 

Pricing is custom and enterprise-only, with reported contracts in the six-figure range annually. G2 shows a 4.9 rating, though the review count is small and worth verifying before using that figure in any formal evaluation.

Honest tradeoff: 1Mind is not an accessible mid-market option. The price point, deployment timeline of one to two months, and the enterprise-first motion mean it is a fit for a specific profile: large organizations with sufficient inbound traffic, a high-ACV product, and the budget and internal capacity to implement a custom AI agent properly.

Best for: Enterprise teams with a high-ACV product, meaningful inbound traffic, and the budget for a six-figure annual AI sales agent contract.

Outbound AI SDR tools

4. AiSDR: best outbound AI SDR for transparent, multichannel prospecting

If you want multichannel outbound without seat-based pricing surprises, AiSDR delivers email and LinkedIn sequences for a flat $900/mo. Its G2 score of 4.7 stars is notably strong relative to its review count (76 reviews), which suggests real customer satisfaction rather than a review volume campaign.

One G2 reviewer noted: "The ability to run personalized outbound across email and LinkedIn from a single dashboard, without per-seat charges, made this the easiest AI SDR to justify internally."

The limitation that surfaces in reviews: the personalization logic works well on tightly defined ICPs with clean lists, but produces less sharp output on complex enterprise accounts with nuanced messaging needs. It performs best when the targeting work has been done upstream (ideally with a data tool like Clay).

Best for: Outbound teams that want multichannel AI SDR capabilities with straightforward, predictable monthly pricing.

5. Salesforge (Frank): best for outbound email deliverability

If your outbound emails are landing in spam instead of inboxes, Salesforge's AI agent Frank is built specifically for that problem. Most outbound AI SDR tools optimize for sequence length and personalization depth. Salesforge optimizes for inbox placement, which has become an increasingly consequential variable as spam filters have tightened and buyer email fatigue has compounded across the market. According to recent AI SDR adoption data, email deliverability is now the number-one concern for outbound teams evaluating AI tools.

At $599/mo, it is the most accessible full-featured outbound option on this list. The email focus means it is not the right choice for teams that need LinkedIn outreach or voice capabilities included in the same platform.

A Salesforge user on G2 summarized the core value: "We switched to Frank specifically because our reply rates doubled once deliverability improved. The AI personalization is solid, but the inbox placement is the real reason we stayed."

Best for: Outbound teams where email deliverability is the primary constraint, not outreach volume.

6. Artisan (Ava): all-in-one outbound with built-in prospecting data

Artisan's AI agent Ava attempts to consolidate prospect data, personalization, and multichannel sequencing into a single platform. The core pitch is that you do not need a separate data provider if Ava covers both database access and outreach automation.

The G2 score of 3.9 stars from 22 reviews is the lowest on this list, and it is worth taking seriously. The reviews reflect visible rough edges, particularly around data quality for specific verticals and consistency of AI-generated personalization. The product has an ambitious vision that the execution is still working to catch up with. It is worth revisiting in 12 months.

Best for: Outbound teams comfortable being early adopters who want a single consolidated platform and are willing to trade some reliability for the convenience of an integrated database.

7. 11x.ai (Alice): enterprise multichannel outbound with voice

11x.ai's Alice is the enterprise option at the high end of the outbound AI SDR category. Where tools like AiSDR and Salesforge are optimized for accessible pricing and fast deployment, Alice is designed for high-volume enterprise outbound that includes voice as a channel alongside email and LinkedIn.

My personal opinion: Uncanny valley…

Starting at roughly $5K+/mo, it is priced for enterprise budgets and implements at enterprise timelines. For teams running outbound at serious scale who need a voice component in the motion, Alice is worth the evaluation. For smaller teams or those without a mature outbound motion to augment, the cost is hard to justify.

Best for: Enterprise teams running high-volume multichannel outbound where voice calls are part of the outreach strategy.

Data and enrichment tools that power AI SDR workflows

8. Clay: the enrichment layer behind sharper outbound sequences

If your outbound sequences are underperforming, the problem is often the quality of the list they run on. Clay solves that by pulling from 50-plus data sources to build enriched prospect lists, then using AI models to generate research summaries and personalized messaging drafts before any sequence runs. It is not a pure AI SDR tool in the way the platforms above are; it is the data infrastructure layer that makes those tools sharper.

The teams getting the most value from Clay are running it as the data infrastructure layer that makes their outbound AI SDR sequences sharper, not as a direct replacement for those sequences. It makes AiSDR or Salesforge more effective by improving the quality of the inputs those tools work from.

Best for: RevOps and sales ops teams building the enrichment infrastructure that powers higher-quality AI SDR outbound.

9. Apollo.io: combined data, sequencing, and outreach in one platform

Apollo has been around the block. It’s a classic SaaS tool that offers prospect data, email sequencing, and AI-assisted outreach in a single platform, eliminating the need to stitch together three separate vendors. With 4.8 stars across 7,000+ G2 reviews, it is the most widely adopted tool in the combined data-plus-outreach category. The AI-native features have expanded substantially in the past couple of years, including intent signals, AI-written email suggestions, and buying committee identification.

The honest tradeoff: Apollo tries to do everything, and specialists in narrow categories still outperform it in those categories. The data is strong. The sequencing is solid. The AI SDR autonomous engagement features are improving but are not yet at the level of platforms built specifically for AI-driven outreach.

Best for: B2B teams that want a single platform covering prospecting data, email sequencing, and AI-assisted outreach without managing multiple vendors.

How to choose the right AI SDR tool in 2026

The decision tree is more straightforward than most evaluation guides suggest. The first cut is diagnosing whether your constraint is inbound conversion or outbound pipeline generation.

If your constraint is inbound: RepX, Qualified, and 1Mind are the three serious options. RepX deploys in under a week and starts at $2,000/mo, making it the fastest path to live. Qualified requires enterprise onboarding and starts at $42K/yr, with the deepest Salesforce integration. 1Mind is the best fit when the ACV and deal complexity are high enough to justify a video-native AI persona and the enterprise price point that comes with it.

If your constraint is outbound: The choice depends on channel mix (email only versus multichannel versus voice), pricing model, and whether data enrichment is handled upstream or needs to be bundled in.

A few things worth verifying before signing any contract in this category:

1. Ask how the AI was trained on your specific product and ICP. Generic tools that have not been trained on your documentation, positioning, and customer language will consistently underperform tools that have.
2. Check CRM integration depth. A tool that does not push clean, structured conversation data to your CRM creates a downstream data problem that compounds over time.
3. Talk to an existing customer in your segment who has been using the tool for at least six months.

For a broader look at the best SDR tools category (including non-AI options), we have a separate roundup.

The AI SDR market is still moving quickly. Gartner's 2026 analysis confirms that the most durable tools are solving specific, well-defined problems rather than trying to cover the entire SDR workflow. That pattern tends to hold in most software markets, and this one is not an exception.

FAQ: AI SDR tools in 2026

1. What are the best AI SDR tools in 2026?

The top AI SDR tools in 2026 depend on your use case. For inbound qualification, RepX by Storylane and Qualified (Piper) lead the category. For outbound prospecting, AiSDR, Salesforge, Artisan, and 11x.ai each specialize in different outbound motions. Clay and Apollo.io are the strongest options for the data enrichment layer that feeds outbound sequences.

2. What is the difference between inbound and outbound AI SDR tools?

Outbound AI SDR tools automate cold prospecting: they research target accounts, personalize messaging, and run multichannel sequences to generate new pipeline from scratch. Inbound AI SDR tools qualify and engage visitors who are already on your website, answering product questions, surfacing demos, and routing qualified leads to sales in real time. The two categories solve fundamentally different pipeline problems.

3. Which AI SDR tool should I use in 2026?

Start by diagnosing where your pipeline is breaking. If you have website traffic that is not converting, evaluate inbound tools like RepX (for demo-led qualification) or Qualified (for Salesforce-native enterprises). If you need to build cold pipeline, evaluate outbound tools based on your channel needs and budget. If your data quality is the bottleneck, start with Clay or Apollo.io before layering on outbound automation.

4. What is the best inbound AI SDR tool in 2026?

RepX by Storylane combines real-time visitor qualification with interactive product demos in the same session, a capability we did not find in other inbound AI SDRs on G2 as of Q2 2026. Qualified (Piper) is the leading alternative for enterprise teams with deep Salesforce requirements. RepX starts at $1,500/mo and deploys in under a week; Qualified starts at approximately $42K/yr.

5. How much do AI SDR tools cost?

AI SDR tool pricing ranges from free tiers (Apollo.io, Clay) to $5K+/mo for enterprise platforms like 11x.ai. Mid-market options include AiSDR ($900/mo), Salesforge ($599/mo), and RepX ($1,500/mo). Pricing models vary between flat monthly rates, per-seat charges, and usage-based tiers, so compare total cost of ownership rather than headline prices alone.

TL;DR

• An AI agent for sales is software that autonomously executes pipeline tasks (prospecting, qualifying, demoing) without waiting for a human to click
• There are three categories of AI sales agents: prospecting agents, qualification agents, and demo agents. Each replaces a different manual bottleneck.
• The real value of AI agents in sales is not doing things faster. It is running revenue workflows that would otherwise never happen: engaging every visitor, qualifying at 2 AM, delivering a personalized demo immediately, without waiting for a rep to be available.
• RepX by Storylane is an always-on AI sales agent that lives on your website and engages every prospect with a personalized demo experience, without requiring a human rep.

Why your pipeline math is broken (and what AI sales agents fix)

Most sales leaders are running the same calculation right now: they need significantly more pipeline with the same headcount and no budget for additional reps. The instinct is to squeeze more out of existing reps through more sequences, calls, and follow-ups. That approach hits a ceiling quickly. A rep can only run so many conversations per day, and most of the pipeline gap is not in execution. It is in coverage. Your website gets traffic at midnight. Inbound leads sit for hours. Prospects who are not ready for a call get ignored. AI sales agents close that coverage gap, not by replacing reps, but by running the workflows that never had a human assigned to them in the first place.

What is an AI agent for sales?

An AI agent for sales is software that perceives its environment (your CRM, website traffic, email threads), decides what to do next, and takes action, all without a human in the loop. Unlike a chatbot that follows a script or an automation tool that runs a fixed sequence, an AI sales agent operates on a continuous loop of observing data, reasoning about the next best action, executing that action, and learning from the outcome.

Here is a concrete example of how AI agents work in sales:

1. A visitor lands on your pricing page at 11 PM.
2. The AI sales agent detects the visit, checks enrichment data, and identifies the visitor as a mid-market SaaS company.
3. It decides to surface a personalized product demo rather than a generic chat prompt.
4. The visitor engages. The agent qualifies them using your ICP criteria.
5. If qualified, the agent books a meeting with the right AE. If not, it routes them to a self-serve resource.

No human touched that workflow. The agent observed, decided, acted, and logged the result.

How this differs from traditional sales automation: Automation tools execute pre-built 'if/then' rules. AI sales agents evaluate context in real time and choose their next step. A drip campaign sends email #3 on day 7 regardless of what happened. An AI agent reads the reply to email #2 and adjusts.

The three types of AI agents in a B2B sales workflow

Not all AI sales agents do the same thing. They break into three categories based on where they operate in the pipeline. Here is how each one works, when to use it, and what to watch for.

Comparison: AI sales agent types at a glance

1. AI prospecting agents (AI SDR agents)

Prospecting agents handle the top of the funnel: finding accounts that match your ICP, enriching contact data, and initiating outbound sequences. Think of them as an AI SDR that runs 24/7 without quota fatigue.

A host of things that are all packaged that your SDR would be doing in that ten minutes before a call, and this agent is able to do it for you. Essentially it is automating the front-end piece of the SDR role that you would otherwise have to train someone on, and that someone has a significant chance of churning before they get good at it.

When to use a prospecting agent:

• Your outbound team spends a significant share of their time on list building and initial outreach (a common pattern in teams without dedicated data ops)
• You have a large total addressable market but limited SDR capacity
• Your sequences are high-volume and pattern-based

What to watch for: Prospecting agents are only as good as the data they operate on. If your ICP criteria are vague, the agent will scale bad targeting, not good targeting.

2. AI qualification agents

Qualification agents sit between inbound and your AE team. They engage new leads through chat, email, or voice, ask qualifying questions based on your sales qualification process, and route hot leads to the right rep.

You will see a lift in qualified leads. There will be fewer leads overall, but they will be more qualified, and the end stage of the pipeline is going to look considerably healthier.

When to use a qualification agent:

• Your inbound volume outpaces your SDR team’s capacity
• Leads from intent signals arrive outside business hours
• You have clear ICP and disqualification criteria that can be codified

What to watch for: Over-qualifying can be as costly as under-qualifying. If the agent's criteria are too strict, it will reject good-fit prospects. Calibrate with your sales team before going live.

3. AI demo agents

Demo agents represent a newer category. Instead of qualifying leads with questions alone, they qualify through product experience. A demo agent delivers a personalized, interactive demo to the prospect based on their profile, use case, or behavior, then captures engagement data and routes the lead accordingly.

Once I learned about it, I was like, that is really interesting how it interacts with your users. It responds to that user's specific questions, which a video is not going to do. It can just get to that user's needs.

A particularly candid observation from a sales training leader who watched buyer behavior during demo agent sessions: People just cut off the AI agent and say, 'I don't care about that, tell me about this. It's like the conversations people want to have with sales reps, but they're maybe too polite to cut off a real one. One possible implication: buyers may self-direct more freely with an agent than with a human rep, which can surface cleaner intent signals before the first conversation.

When to use a demo agent:

• Your product has a strong 'show, don't tell' value prop
• Prospects want to evaluate the product before talking to sales
• Your sales team is small and cannot run a live demo for every lead (see: demo automation for small sales teams)

What to watch for: A demo agent that shows a generic product tour is no better than a recorded video. The value comes from personalization: showing the prospect the features and workflows relevant to their role, industry, or use case.

AI agent vs. SDR: what each does better

For most GTM teams, the question is not whether to choose between an AI agent and an SDR. It is which tasks belong to each. The table below maps capabilities to the right resource.

The practical framework: Use AI agents for the bulk of pipeline tasks that are repeatable and high-volume. Reserve human reps for the portion that requires judgment, nuance, and relationship depth. The goal is not AI vs. SDR. It is giving your reps more at-bats with qualified buyers by offloading everything upstream.

Where AI agents fit across the sales funnel

Choosing the right AI sales agent starts with one question: where is your pipeline leaking?

Use this checklist to identify your biggest coverage gap:

• Top of funnel (TOFU): Are you reaching enough of your TAM? Is outbound stuck at the same volume? Consider a prospecting agent.
• Middle of funnel (MOFU): Are inbound leads waiting too long for a response? Are qualified leads slipping through because no one followed up? Consider a qualification agent.
• Product experience gap: Do prospects drop off before they see the product? Is your demo-to-close rate lower than it should be? Consider a demo agent.

Most B2B teams start with one agent and expand. The common starting point depends on your motion:

• Outbound-heavy teams start with prospecting agents.
• Inbound-heavy teams start with qualification agents.
• Product-led or hybrid teams start with demo agents.

You do not need to rip out your existing stack. AI agents layer on top of your CRM, enrichment tools, and intent-based marketing workflows.

Where Storylane fits: RepX Chat, an always-on AI sales agent

RepX is Storylane's conversational sales agent. It lives on your website and engages every visitor with a personalized, interactive demo experience, without requiring a human rep to be online.

Here is what RepX does:

• Identifies visitor context using firmographic and behavioral data
• Delivers a personalized demo tailored to the visitor's likely use case, role, or industry
• Qualifies in real time by tracking engagement depth, feature interest, and intent signals
• Routes qualified leads to the right AE with full context on what the prospect explored
• Operates 24/7, capturing pipeline from traffic that would otherwise bounce

RepX combines the qualification and demo agent categories into a single experience. Instead of asking a prospect 5 qualifying questions in a chat window, it qualifies by showing them the product and observing how they engage.

Storylane is the #1-rated demo automation platform on G2 (4.8 stars, 1,400+ reviews), used by 5,000+ GTM teams with 200,000+ demos created. RepX extends that foundation into autonomous sales engagement.

What to look for when evaluating an AI sales agent

Not every AI sales agent delivers real pipeline value. Before you buy, run each vendor through this checklist.

Evaluation checklist for AI sales agents

1. Autonomy level: Does it actually take action, or does it just surface recommendations for a human to execute? A true agent acts on its own within guardrails you define.
2. Integration depth: Does it plug into your CRM, enrichment tools, and routing logic natively? Or does it require a middleware layer that adds complexity?
3. Personalization capability: Can it tailor its outreach, qualification, or demo to each prospect? Or does every visitor get the same experience?
4. Feedback loop: Does it learn from outcomes? An agent that books meetings but never improves its qualification criteria will plateau quickly.
5. Transparency: Can you see why the agent made each decision? If you cannot audit its logic, you cannot improve it.
6. Time to value: How long does it take to go live? Some agents require months of training data. Others (like RepX) can deploy on your existing interactive demo content and start engaging visitors within days.
7. Data privacy and security: Does the agent comply with your data handling requirements? Where is prospect data stored and processed?

According to BCG's research on AI agents in B2B sales, companies that deploy AI agents with clear guardrails and integration into existing workflows see measurably higher ROI than those that bolt on standalone tools. IBM's framework for AI agents in sales similarly emphasizes that the most effective AI agents operate within defined boundaries, not as black boxes.

Frequently asked questions about AI agents for sales

What is an AI agent for sales?

An AI agent for sales is autonomous software that handles pipeline tasks like prospecting, qualification, and product demos without human intervention. It observes data from your CRM and website, reasons about the next best action, executes that action, and learns from the outcome.

How do AI agents work in sales?

AI sales agents operate on a continuous loop: observe (ingest data from your CRM, website traffic, or email threads), reason (evaluate context against your ICP criteria and engagement signals), act (send an email, deliver a demo, book a meeting), and learn (adjust based on outcomes like reply rates, meeting show rates, and deal progression).

How much does an AI sales agent cost?

Pricing varies by category. Based on a review of publicly listed pricing from vendors like 11x, Artisan, Conversica, and Qualified, AI SDR and prospecting agents typically range from $1,000 to $5,000 per month depending on volume. Qualification agents are often bundled into conversational sales platforms at $2,000 to $10,000 per month. Demo agents like RepX are typically priced based on website traffic or engagement volume. The right comparison is not cost of tool vs. zero; but cost of tool vs. the pipeline value you are leaving on the table.

Can an AI sales agent replace my SDR team?

Not entirely. AI agents excel at high-volume, repeatable tasks: initial outreach, lead scoring, first-response qualification, and product demos. Human SDRs are still stronger at complex objection handling, relationship building, and nuanced enterprise conversations. The highest-performing teams use AI agents to handle the bulk of repeatable interactions and free up human reps for the conversations that require judgment and empathy.

The bottom line

AI agents for sales have moved from experimental to operational for B2B GTM teams that need more pipeline without more headcount. The common thread across teams using them well: they identify a specific coverage gap (midnight traffic, unqualified inbound, prospects who never see the product), deploy an agent to fill it, and keep human reps focused on the conversations that require judgment and relationship depth.

Start by identifying your biggest pipeline gap. Pick the agent category that addresses it. Run vendors through the evaluation checklist above. And if your gap is; prospects never see the product before a call RepX was built for exactly that problem.