Docket's inbound AI agent sits on your website and turns visitors into qualified meetings in real time. Conversational AI for sales that reasons, answers, qualifies, and books. Voice or text, in 40+ languages. Live in 7-14 days.
Trusted by enterprise B2B revenue teams at
"The agent was immediately having informed, deep conversations about our product. The level of enterprise control we have over accuracy and routing is exactly what we needed."
Real reviews and reactions from G2, LinkedIn, and live customer calls.
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WHY B2B SAAS TEAMS PICK INBOUND AI OVER OLD CHATBOTS AND FORMS
Forms convert 1-3%. Branching chatbots convert worse because buyers go off-script and hit dead ends. Docket's inbound AI agent reasons before it responds, answers from your approved content, and books meetings in the same session. Same traffic. 3-6% conversion. Pipeline that revenue teams can trust.
See what your inbound looks like when an AI agent reasons instead of a chatbot scripts.
Book a demoDocket's inbound AI does not follow scripts or branching trees. It reads the conversation, decides what to ask, surfaces proof, and books the meeting in the same session. Conversational AI for sales that handles whatever the buyer brings.
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73% of inbound AI conversations on Docket include voice. Buyers switch modes when questions get technical. The agent meets them where they are without forcing a channel choice. Voice initialization in 4-6 seconds.
Every answer is grounded in your approved content. The inbound AI agent says "I don't know" rather than hallucinating, then routes to a human. Critical for pricing, security, and compliance topics where old chatbots break.
How a reasoning-based inbound AI agent changes inbound conversion compared to the chatbot-and-form playbook most B2B SaaS teams still run.
Ready to see the inbound AI agent live?
Most B2B SaaS teams are live in 7-14 days. CS team handles the build. Pilot before contract.
Before the conversation, during the conversation, and after the meeting is booked. Inbound AI does not stop at chat. It carries the full buyer journey from first click to context-rich handoff in your CRM.
The inbound AI agent reads CRM history, prior visit data, and live intent signals before the buyer types a word. Every conversation starts warm.
Docket recognizes the visitor's company before they introduce themselves. It pulls CRM history, prior site visits, and live intent signals into a real-time buyer profile.
The inbound AI agent opens with relevant context: the product they care about, the pain they signaled, the deal stage they sit in. No cold introductions, no repeat questions.
Every answer the inbound AI agent gives is grounded in your approved content. The Sales Knowledge Lake ingests from over 100 sources including product docs, Gong calls, Slack threads, SharePoint, Notion, and your CRM. It deduplicates, resolves contradictions, and stays current.
The result: an inbound AI agent that says "I don't know" rather than hallucinating on pricing, security, or compliance.
A reasoning engine qualifies the buyer, routes to the right rep, and books the meeting in the same session. Voice or text, in 40+ languages, with calendar slots picked on the spot.
The inbound AI agent does not follow playbooks or scripts. It reasons before it responds, asks the right discovery questions, handles objections, and surfaces slides or demo videos at the moment they prove the point.
Configurable to BANT, MEDDPICC, or your own qualification framework. Captures pain, technical fit, competitor named, and buying stage in natural conversation. Routes high-intent buyers to the right rep and books the meeting in the same session.
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73% of conversations on Docket include voice. Buyers switch modes when questions get technical, when they want to talk through a scenario, or when they are on mobile.
The inbound AI agent meets buyers where they are. Voice or text, in 40+ languages, with no separate multilingual sites or support teams required. Voice initialization in 4-6 seconds, the fastest in the category.
Most platforms make RevOps build branching condition trees: if industry is X and headcount is Y and intent is Z, route to rep A. Every new segment, new product, or new market means rebuilding the tree.
Docket replaces all of that with natural-language routing logic. Type the rule the way you would explain it to a new BDR: "Route enterprise SaaS in North America with 1,000+ employees to the strategic AE pair. SMB to round-robin." The agent reads the conversation, understands intent, and routes.
When the inbound AI agent qualifies a buyer, it surfaces the right rep's actual calendar inside the conversation. The buyer sees live availability, picks a slot, and the meeting is booked. Calendar invite hits both inboxes the same minute.
No "we will follow up to schedule." No back-and-forth email volley. No 24-hour SDR delay. The hottest 4 minutes of buyer intent end with a booked meeting on the right calendar.
Full conversation context written to your CRM. Returning buyers picked up from where they left off. Discovery is already done before the rep joins the call.
The moment a meeting is booked, Docket writes everything back to Salesforce or HubSpot. Pain surfaced. Technical requirements captured. Competitive alternatives mentioned. Buying stage assessed. Recommended next step.
Your AEs walk into every first call already past discovery. Your RevOps team gets clean, structured pipeline data. Your CMO gets attribution from first conversation to closed deal.
A buyer comes back two weeks later. Docket remembers what they asked, where the conversation left off, and what stage they were at. The inbound AI agent picks up the thread instead of starting over.
For multi-stakeholder buying committees, memory unifies engagement across the same account. Different stakeholders, one conversation history, full context for the rep.
An inbound AI agent built for the security, integration, and deployment standards B2B SaaS revenue teams already require.
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Live audio from B2B leaders trying Docket for the first time, plus reviews from G2.
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3-6% conversation start rate. 15% lift in qualified pipeline. Live in 7-14 days. CS team handles the build. Pilot before contract.
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