In this guide, I'll walk through the 10 best agentic inbound agents in 2026, grouped by the work each one is built to do, so you can pick something that fits your motion without paying for the wrong category.
TL;DR
- Warmly offers the best agentic inbound agent in 2026 for B2B SaaS revenue teams with its AI Chat plus Warm Calls handoff, person-level visitor identification feeding the conversation from message one, a TAM Agent for outbound follow-up on non-converters, and the Context Graph that ties inbound and outbound together.
- Teams comparing chat-first sales platforms usually shortlist Qualified (Piper), 1mind, Salesloft, Intercom Fin for Sales, and Conversica, which all run agentic conversations with different angles on workflow, multimodal engagement, and nurture cycles.
- Companies that need agentic agents handling support volume often evaluate Sierra, Decagon, and Ada, while smaller teams looking for fast-deploy chat usually land on Tidio.
What are the best agentic inbound agents in 2026?
The best agentic inbound agents in 2026 are Warmly, 1mind, and Qualified.
Here's the full shortlist with what each tool fits and where pricing lands:
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Tool
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Best For
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Pricing
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Warmly
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B2B SaaS revenue teams that want person-level visitor ID, AI chat with full CRM context, and inbound conversations tied to outbound follow-up through a shared Context Graph.
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Free plan; inbound paid from $10,000/year. TAM Agent from $15,000/year.
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1mind
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Enterprise marketing teams replacing legacy conversational sales tools with AI-driven visitor engagement and routing workflows.
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Pricing not public.
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Qualified
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Salesforce-native revenue teams running an agentic marketing funnel anchored around Piper the AI SDR Agent across text, voice, and video.
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Pricing not public.
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Salesloft
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Salesloft customers who want AI chat agents working alongside cadence, conversation intelligence, deal management, and forecasting.
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Pricing not public.
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Intercom (Fin for Sales)
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Companies already on Intercom that want Fin handling inbound sales qualification and meeting booking next to its customer service work.
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From $0.99 per resolution.
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Conversica
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Teams running event-driven, ABM, or inbound inquiry motions that want AI agents nurturing leads across email, SMS, and chat over longer cycles.
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Pricing not public.
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Sierra
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Enterprise CX teams wanting voice and chat agents that handle support volume with brand-consistent conversation design and live assist for human reps.
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Pricing not public.
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Decagon
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Consumer brands and enterprises building concierge-style AI agents across voice, chat, and email, configured in plain language.
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Pricing not public.
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Ada
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Global enterprises running multichannel, multilingual customer service who want an agentic CX platform with deep observability and testing.
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Pricing not public.
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Tidio
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SMB and ecommerce teams looking for an inexpensive AI chatbot with live chat that can be running on-site in an afternoon.
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Free plan; paid from €32.50/month.
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What are the best agentic inbound agents for B2B sales?
These six tools are built primarily to convert anonymous website visitors and inbound inquiries into qualified sales conversations:
#1: Warmly
Warmly offers the best agentic inbound agent in 2026 for B2B SaaS revenue teams with our AI Chat plus Warm Calls live video handoff, person-level visitor identification, TAM Agent for outbound follow-up, and the Context Graph that ties every conversation together.
Heads up: Warmly is our platform. My goal here is an honest comparison and not a one-sided pitch. If a different tool below fits your situation better, that's the recommendation we'd give you.
Let’s go over the features and capabilities that I think make our platform the best agentic inbound agent on the market in 2026:
Inbound Agent: AI Chat with Warm Calls
The Inbound Agent runs AI sales chat on your website, and the moment a conversation needs a human, a rep can step in over live video through Warm Calls.
Before the first message goes out, the chat agent has already pulled the visitor's CRM history, the pages they've been on this session and historically, their company's intent signals, and the product context for the page they're looking at.
The opener changes from "How can I help you?" to something like "Looks like you're back checking out the integrations page — want me to walk through the HubSpot setup since you flagged that on our last chat with your team?"
When a rep takes over, the transcript, CRM history, and page context pass to them before they type their first reply.
From the visitor's side, the handoff is invisible.
Our smart popups and personalized landing pages also run on that same identity layer:
- Smart popups are triggered by intent signals and are personalized to who's visiting your website to give them the right offer at the right moment.
- Personalized Landing Pages dynamically customize content based on who's visiting, including their company, role, industry, and behavior.
And for the visitors who visited but left, our retargeting follow-up engine triggers personalized email sequences, LinkedIn ad targeting, and nurture campaigns based on their behavior and intent signals.
Person-level visitor identification
Most visitor ID tools surface a company name and a city. This can be useful, but not enough to actually start a conversation that lands.
Our Inbound Agent identifies 15% of traffic at the individual level with name, email, and title, with 90%+ accuracy on matched profiles.
At the company level, it covers 65% of sessions at 95%+ accuracy.
The identity resolution waterfall preferences deterministic matches (email, cookie, CRM ID) over probabilistic ones (IP, behavioral fingerprint).
Our platform goes beyond IP-to-company matching and resolves individuals with name, work email, job title, and LinkedIn profile.
The visitor data flows bidirectionally into HubSpot and Salesforce without manual exports, and every identified visitor gets enriched with firmographics, technographics, and third-party intent signals before reaching reps.
TAM Agent for outbound follow-up
The TAM Agent picks up where the Inbound Agent finishes, running outbound across email and LinkedIn, triggered by the same intent signals the inbound side captured.
It scores accounts using a model trained on your closed-won deals, identifies the buying committee, and either routes to reps or runs autonomous AI SDR sequences depending on how you set it up.
The two agents talk to each other through the Context Graph, so a visitor who chatted at 5 PM Tuesday won't get a cold outbound email the next morning.
Context Graph
The Context Graph is the data layer underneath both agents.
It tracks signals, actions taken, the reasoning behind those actions, and the resulting outcomes for every account.
Plenty of products marketed as agentic are workflow engines with an LLM layer on top.
Warmly's architecture is different: the Context Graph feeds both the inbound and outbound agents from the same intent model, which is why the chat side and the outbound side can coordinate timing, share scoring, and avoid double-touching the same person.
Every prospect touchpoint is logged in an activity ledger, which you’ll find is quite useful when a prospect is back in market after a few months.
All of this massive context also goes to the AI chatbot. The chatbot would be aware if a visitor visited your pricing page last week and a case study last month.
What makes Warmly different from other agentic inbound agents
The pattern across most products in this category is that the agent waits for a visitor to start a conversation, then tries to figure out who they are mid-chat.
Warmly flips that model.
Person-level visitor identification fires before the first message, so the agent opens already knowing the company, the role, the prior session history, and any active CRM activity.
The chat starts warm because the data feeding it starts warm.
That's the part most agentic inbound tools don't have.
- CX-native agents are designed around customer support, so the identity layer assumes the person is already a known customer when they show up.
- Sales-first agents run strong agentic conversations, but the identification layer in front of the chat is thinner, which means the opening message has less to draw from.
The second piece is the shared Context Graph between inbound and outbound.
Most teams stack 4 to 6 tools to get this coverage, which means inbound chat lives in one system, outbound sequences in another, and the intent data has to be reconciled across both.
Warmly runs one model across both sales motions.
Pricing
Warmly has a free plan covering 500 de-anonymized visitors per month, with Slack alerts and CSV export. Paid plans stack on the inbound side, plus a separate outbound plan.
- AI Web-Deanonymization runs $10,000 per year for 10K credits monthly, covering contact and company-level identification, ICP filtering, real-time Slack alerts, lead routing, CRM sync, and retargeting via email, LinkedIn, and ads.
- Inbound Chat adds the conversational layer at $20,000 per year, with the AI Chatbot (one AI Studio Agent), Warm Calling for live chat handoff, Warm Offers, chat metrics, and automated email follow-up.
- AI Inbound Autopilot runs $30,000 per year and adds unlimited AI Studio Agents, the Autopilot Agent, AI goal-setting and qualification, AI-generated mini-demo slides, AI-written chat follow-up, and auto-learning that improves the chat over time.
- AI TAM Agent starts at $15,000 per year for 60K annual credits, covering the TAM database with intent scoring, the buying committee agent, AI enrichment, the Signals Bundle (Bombora, G2, Reddit, Glassdoor, news, SEC filings, job changes, social signals, YouTube, podcasts), and HubSpot two-way sync.
The pricing is built for mid-market B2B SaaS revenue teams with meaningful website traffic, not very early-stage startups where the entry-level volume doesn't yet justify the spend.
Pros & Cons
✅ Person-level visitor identification feeds CRM context into the AI chat before the first message, so the conversation opens warm.
✅ Inbound Agent and TAM Agent share a unified Context Graph, removing the duplicate-touching problem that comes with separate inbound and outbound tools.
✅ Live video handoff via Warm Calls keeps high-intent conversations from dying at the chatbot boundary.
✅ Native HubSpot and Salesforce integrations cover most B2B SaaS CRM stacks without Zapier workarounds.
❌ There are no monthly plans: only quarterly and annual.
#2: 1mind
Best for: Enterprise marketing teams replacing legacy conversational sales tools with AI-driven visitor engagement and routing workflows.
Similar to: Qualified, Drift.
Source.
1mind positions itself as a modern take on conversational sales, with AI-led conversations that automate visitor interactions through workflows and engagement prompts.
The routing automation is the piece that gets called out most often: leads and meetings assign to the right rep based on territory or custom logic, the moment a chat finishes.
Features
Source.
- AI-led conversations: Visitor interactions run through conversational workflows with built-in engagement prompts.
- Lead qualification logic: Filters and prioritizes leads against qualification criteria you define upfront.
- CRM synchronization: Visitor and lead data syncs across connected CRMs and workflow tools.
- Routing automation: Sends leads and meetings to the right rep based on territory or assignment logic.
Pricing
1mind does not disclose pricing publicly; you'll need to contact their team for a quote.
Source.
Pros & Cons
✅ AI-led conversations adapt to workflow logic rather than fixed scripts.
✅ Built-in routing handles territory and round-robin assignment without a separate routing tool.
✅ Analytics give visibility into workflow performance and conversation activity.
❌ The platform’s contracts are annual, and enterprise estimates place it at $100,000+ per year.
#3: Qualified
Best for: Salesforce-native revenue teams running an agentic marketing funnel anchored around Piper the AI SDR Agent.
Similar to: Intercom Fin for Sales, 1mind.
Source.
Qualified built its platform around Piper, an AI SDR Agent that greets website buyers, guides them through their buying journey with text, voice, and video conversations, sends timely email follow-up, and books meetings.
The whole approach is framed as the agentic marketing funnel, with customer logos including VMware, Sodexo, and Fujitsu.
Features
Source.
- Piper the AI SDR Agent: Greets high-intent website visitors and runs face-to-face conversations using text, voice, and video.
- Email nurture and follow-up: Sends bespoke emails timed to the buyer's engagement pattern.
- AI Conversations and Meetings: Runs qualifying chats and books meetings directly on rep calendars.
- AI Signals and Offers: Surfaces intent signals and presents personalized offers based on visitor behavior.
Pricing
Qualified does not disclose pricing publicly; you'll need to contact their team for a quote.
Source.
Pros & Cons
✅ Strong Salesforce-native integration, with a leading ranking on the Salesforce AppExchange.
✅ Multimodal Piper conversations across text, voice, and video give buyers richer engagement options than chat-only tools.
❌ Starts from $42,000 per year, according to 3rd party analysts.
#4: Salesloft
Best for: Existing Salesloft customers who want AI chat agents working alongside cadence, conversation intelligence, deal management, and forecasting in one platform.
Similar to: Qualified, Outreach.
Source.
Salesloft's Revenue Orchestration Platform now includes AI chat agents inside the broader workflow that already handles cadences (Cadence), seller prioritization (Rhythm), call insights (Conversations), deal management (Deals), and forecasting (Forecast).
The Chat capability turns website visitors into leads using the same AI agents and revenue data that power the rest of the platform.
Features
Source.
- AI chat agents: Turn anonymous website visitors into qualified leads inside the Salesloft workflow.
- Cadence and Rhythm: Build pipeline and prioritize seller actions using first and third-party signals.
- Conversations: Captures insights from buyer and seller interactions across calls, email, and chat.
- Forecast and Analytics: Connects pipeline data and AI agents to revenue forecasting.
Pricing
Salesloft does not disclose pricing publicly; you'll need to contact their team for a quote.
Source.
Pros & Cons
✅ AI chat is part of a broader revenue orchestration platform, not a standalone bolt-on.
✅ Named a Leader in The Forrester Wave for Revenue Orchestration Platforms.
✅ Backed by a Forrester Total Economic Impact study commissioned by Salesloft.
❌ Pricing is not disclosed.
#5: Intercom (Fin for Sales)
Best for: Companies already running Intercom that want Fin handling inbound sales qualification, discovery, and meeting booking next to its customer service work.
Similar to: Qualified, Drift.
Source.
Fin originally took off in customer service and now handles inbound sales alongside customer support across Intercom's customer base.
Fin for Sales engages prospects as they explore the site, answers questions on pricing and features, qualifies them, and books meetings or hands off to a live rep with full context.
Features
Source.
- Proactive engagement: Starts conversations based on what buyers are exploring, on Messenger, email, and other channels.
- Discovery and product expertise: Uses your knowledge base and content to answer pricing, feature, and plan-fit questions, then recommends the right plan.
- SDR-style qualification: Asks the same questions a strong SDR would about needs, budget, and timeline, enriched with CRM data.
- AI routing and meeting scheduling: Books meetings via Calendly or Chili Piper and hands off to live reps with full conversation context.
Pricing
Intercom bills Fin AI on a separate line from the helpdesk seats, and there are two ways to deploy it:
Fin with your existing helpdesk:
- $0.99 per outcome each time Fin closes a conversation end-to-end.
- Minimum of 50 outcomes per month.
- Works out of the box with Salesforce, HubSpot, Zendesk, and others.
- Includes a 14-day free trial.
Fin + Intercom Helpdesk:
- $0.99 per outcome, plus $29 per seat monthly for the helpdesk.
- $29 is the entry-level helpdesk price; higher tiers also exist.
- Includes a 14-day free trial.
Optional add-ons:
- Pro: $99 monthly to analyze up to 1,000 conversations via CX Score, AI Topics, Trends, and Custom AI Scorecards.
- Copilot: $35 per user, per month, providing an AI assistant inside the agent's inbox.
Source.
Pros & Cons
✅ The same Fin agent handles both prospect and customer conversations, switching context as needed.
✅ Pay-per-resolution pricing aligns cost with results rather than seats.
✅ Years of customer service deployments mean Fin tends to read as conversational rather than scripted.
❌ The accuracy of responses heavily depends on the quality and structure of the knowledge base, which can require ongoing maintenance, according to a G2 review.
❌ It does sometimes have glitches, according to a G2 review.
#6: Conversica
Best for: Teams running event-driven, ABM, or inbound inquiry motions that want AI agents nurturing leads across email, SMS, and chat over longer sales cycles.
Similar to: Intercom Fin for Sales.
Source of image.
Conversica's AI Agents focus on persistent, conversational nurture: agents pick up after events, ad clicks, content downloads, ABM programs, and inbound inquiries to keep leads moving over weeks and months, not minutes.
The product positions itself less as a real-time chat experience and more as a long-cycle conversation engine.
Features
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- Event-driven nurture: Starts conversations before and after events to boost attendance, capture interest, and schedule follow-ups.
- Ad and content follow-up: Turns ad clicks and content downloads into conversations that qualify and engage.
- ABM program engagement: Personalized conversations with target accounts to uncover intent and open sales conversations.
- Multichannel reach: Runs across email, SMS, chat, and messaging apps in any language.
Pricing
Conversica does not disclose pricing publicly; you'll need to contact their team for a quote.
Source of image.
Pros & Cons
✅ Persistent multichannel conversation engine across email, SMS, chat, and messaging.
✅ Industry-trained agents with brand-safe messaging from day one.
✅ Enterprise-grade security and compliance, including GDPR, SOC 2, and data residency options.
❌ Pricing is custom.
What are the best agentic agents for inbound customer experience?
These platforms handle inbound conversations too, but the work is customer experience and support, not sales pipeline:
#1: Sierra
Best for: Enterprise CX teams that want voice and chat agents handling support volume with brand-consistent conversation design and live assist for human reps.
Similar to: Decagon, Ada.
Source of image.
Sierra powers customer experiences at brands including ADT, SiriusXM, Thrive Market, and CLEAR.
The Agent OS spans Agent Studio for no-code agent building, an Agent SDK for developers, voice agents, an insights layer for analytics and experimentation, and Live Assist that augments human reps with AI suggestions.
Features
Source of image.
- Agent Studio: Empowers CX teams to build and manage agents without code, configuring journeys, knowledge, and brand guidelines.
- Voice agents: Handle inbound and outbound phone support with natural-sounding dialog.
- Live Assist: Real-time AI suggestions and drafted responses for human reps during conversations.
- Insights: Analytics, experimentation, and observability across every agent decision.
Pricing
Sierra does not disclose pricing publicly; you'll need to contact their team for a quote. The product is positioned at enterprise CX.
Source of image.
Pros & Cons
✅ Strong voice agent capability across inbound and outbound calls.
✅ Agent Studio lets CX teams update agents without engineering involvement.
✅ Live Assist augments human reps rather than replacing them.
❌ Pricing is custom.
#2: Decagon
Best for: Consumer brands and enterprises building concierge-style AI agents across voice, chat, and email, configured in plain language.
Similar to: Sierra, Ada.
Source.
Decagon powers customer experiences for brands including Hertz, Oura, Quince, Duolingo, Gopuff, and Affirm.
The differentiator is Agent Operating Procedures (AOPs), which let teams define agent workflows in natural language so iteration doesn't require engineering sprints.
Features
Source.
- Agent Operating Procedures (AOPs): Define agent workflows in plain English rather than configuration syntax.
- Omnichannel platform: Voice, chat, and email all run on a single intelligence layer.
- Testing, observability, and experimentation: Validate and iterate agent logic with built-in QA tooling.
- Analytics suite: Turns conversations into insights about customer behavior and agent performance.
Pricing
Decagon does not disclose pricing publicly; you'll need to contact their team for a quote.
Source.
Pros & Cons
✅ Natural-language AOPs make agent iteration faster than tools requiring configuration languages.
✅ Voice, chat, and email work consistently because they share one intelligence layer.
✅ Customer roster of well-known consumer brands suggests proven performance at high conversation volume.
❌ Pricing is custom.
#3: Ada
Best for: Global enterprises running multichannel, multilingual customer service who want an agentic CX platform with strong observability and testing.
Similar to: Sierra, Decagon.
Source.
Ada calls itself the agentic customer experience platform, with AI agents that resolve, act, and continuously improve across messaging, voice, and email.
The ACX (Agentic Customer Experience) framework includes the platform, a methodology layer they call Practice, and an experts team that works alongside the customer's CX organization.
Features
Source.
- ACX Platform: Deploys and orchestrates AI agents across channels and languages with continuous improvement built in.
- Playbooks: Pre-built workflows for industry use cases including financial services, gaming, retail, technology, and travel.
- Multilingual support: Customers across 85+ countries, with multilingual conversation handling.
- Compliance and security: HIPAA, SOC 2, GDPR, and AIUC-1 compliance for regulated industries.
Pricing
Ada does not disclose pricing publicly; you'll need to contact their team for a quote.
Source.
Pros & Cons
✅ Multilingual capability across 85+ countries fits global support teams.
✅ Industry-specific Playbooks shorten time to deploy in financial services, gaming, retail, and travel.
✅ Strong compliance posture for regulated industries.
❌ Pricing is not public.
#4: Tidio
Best for: SMB and ecommerce teams looking for an inexpensive AI chatbot with live chat that can be running on-site in a single afternoon.
Similar to: Intercom (lower tiers), HubSpot Service Hub.
Source.
Tidio is the chatbot that comes up most often at the small-business end of the market.
Pricing is friendly, deployment is fast, and the platform delivers more than the price tag suggests. Lyro, its AI agent, fields routine questions, qualifies inbound leads, and schedules meetings.
Features
Source.
- Lyro AI agent: Natural-language AI trained against your knowledge base and product documentation.
- Live chat alongside the chatbot: Pairs the AI agent with human takeover whenever needed.
- Unified multichannel inbox: Manages chat, email, and Instagram or Messenger from one place.
Pricing
- Free: €0 monthly, covering 50 AI conversations, 1 AI Action, and basic guidance.
- Core: From €32.50 monthly for 50 to 1,000 AI conversations, 3 AI Actions, product recommendations, and Lyro for emails.
- Plus: From €749 monthly for custom conversation volume (from 300), up to 10 AI Actions, live knowledge refresh, Lyro for sales, MCP connections, OpenAPI access, and a dedicated success manager.
- Premium: Custom pricing, including pay-per-resolution billing, AI insights with CSAT, SSO, compliance, and Lyro as a managed service.
Source.
Pros & Cons
✅ Friendly entry pricing for SMB and ecommerce teams.
✅ Fast deployment, often in a single afternoon.
✅ Unified inbox handles chat, email, and social DMs together.
❌ Making sophisticated features more available without having to switch to higher price tiers too soon is one area Tidio might do better, according to a G2 review.
❌ The pricing structure feels a bit steep when scaling up or needing access to more advanced features, according to another G2 review.
Generate more qualified pipeline with Warmly
The agentic inbound agent category has split into something useful.
Some tools chase support resolution, others chase pipeline, and a smaller group is building toward a unified inbound experience where chat, voice, and outbound share the same context.
For mid-market B2B SaaS revenue teams trying to consolidate a chat tool, a visitor ID tool, a routing tool, and an outbound sequencer into one platform, Warmly's two-agent architecture with the shared Context Graph is the closest fit.
The free plan covers 500 visitors per month, which is enough volume to see whether person-level identification plus AI chat changes the shape of your inbound before committing.
You can start with Warmly's free plan to identify your first visitors, or book a demo if your team needs the full Inbound and TAM agent setup.
⚠️ Disclaimer: This article was last updated on the 28th of May, 2026, and if there's any misinterpretation of the information, please contact us, and we will fact-check it.