Docket sits at the front of your GTM stack. The AI agent qualifies inbound buyers in real time, routes them with natural-language logic, and writes context-rich pipeline back to Salesforce or HubSpot. Live in 7-14 days. No condition trees to maintain.
Trusted by enterprise B2B marketing 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 REVOPS TEAMS REPLACE BRANCHING TREES WITH A GTM AI PLATFORM
Every new segment, product, or campaign means another if/then/else branch in your routing logic. Branches go stale, rules conflict, and pipeline gets misrouted. Docket's GTM AI platform replaces all of it with natural-language routing the agent reads and applies in real time. Cleaner pipeline. Less RevOps maintenance tax.
See how a GTM AI platform routes by reading the conversation, not by maintaining branching trees.
Book a demoType the rule the way you would explain it to a new BDR. Docket's GTM AI reads each conversation and routes by intent. No if/then/else trees to build, debug, or republish.
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Pain, technical fit, competitor named, buying stage, budget signal. All written to Salesforce or HubSpot at booking. RevOps gets clean, structured pipeline. Forecasts built on real signals, not guesses.
Salesforce, HubSpot, Marketo, Outreach, Salesloft, Gong. Docket layers on top, captures and qualifies inbound, then writes context-rich data back. No CRM rip-and-replace. No tool sprawl.
How a GTM AI platform changes RevOps and demand gen operations compared to the form-and-routing-tree playbook most B2B SaaS teams still run.
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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. The GTM AI platform carries every inbound buyer from first click to context-rich handoff in your CRM. Discovery is already done before the rep joins the call.
The GTM AI platform 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 GTM 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 GTM 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: a GTM AI platform 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 GTM 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 GTM AI platform 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 GTM 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 GTM AI platform 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 GTM AI platform 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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