3–6%
Conversation start rate vs 1–3% on legacy flows
3 days
Typical go-live. Faster than any competitor.
15%
Lift in qualified pipeline for Docket customers
Wall of love

Operators leading B2B GTM, on Docket

Real reviews and reactions from G2, LinkedIn, and live customer calls.
See the full wall of love →

Recorded customer call
It is kind of shocking and it's awesome. Right off the bat, Docket's the winner for me.
Click to play the clip
VP of Revenue · MarTech, 1,000+ employees
Steve Armenti
Steve Armenti
Founder, twelfth agency
LinkedIn
I implemented Docket on our website recently. Instead of hoping visitors fill out a form and waiting for follow-up, this AI agent actually engages prospects in real-time conversations.

It asks discovery questions like a human sales rep would. Qualifies prospects using frameworks like BANT automatically. Books meetings directly with me when prospects are ready.
Recorded customer call
It actually qualifies using BANT and MEDDIC. Qualified feels like it just answers your questions and pushes you towards getting the demo. This is more of an actual sales conversation.
Click to play the clip
Director of Marketing · Sales Enablement Tech, 500+ employees
SC
Sherin C.
Marketing Leader
G2
Rapid Lead Qualification with Effortless Setup
Within a week of implementation, it became a quiet powerhouse, engaging site visitors intelligently, answering complex product queries, and qualifying leads before they reached our sales team. DocketAI doesn't just chat; it understands.

WHY TEAMS SWITCH FROM QUALIFIED TO DOCKET

Playbooks break. The agent adapts.

Every new campaign, product, or segment requires new Qualified playbooks. When they go stale, someone pays the debug tax. Docket's agent understands visitor intent in real time. There is nothing to build and nothing to maintain.

Qualified: rule-based playbooks
A new playbook for every audience, page, and campaign. New segment? New product line? Someone has to build the branches, test the logic, and publish before any visitor sees it.
Playbooks go stale the moment your strategy moves. Campaign pivot. Pricing change. New competitor. Someone has to find the right node, trace every branch, and test the whole thing again.
Buyers go off-script. Playbooks hit dead ends. When a visitor asks something the playbook did not anticipate, the conversation stalls. They leave. The meeting never happens.
Dozens of overlapping rules create brittle logic. Teams spend hours debugging which rule fired, why it routed wrong, and which node to fix. After the bad conversation already happened.
Personalization is limited to what you predicted in advance. Condition-based logic can only match patterns. It cannot understand what a buyer actually wants.
Operational overhead as programs scale
Avg: 4.5 hrs to debug a broken playbook
Docket: one agent, no playbooks
One agent handles every visitor, every scenario. No rules to build. No branches to maintain. Docket reads each conversation in real time and decides what to do next.
Change your strategy without touching the agent. Update the Sales Knowledge Lake and the agent reflects it instantly, across every conversation, every segment, every page.
Buyers can say anything. The agent keeps up. Free-form discovery lets the conversation go where the buyer takes it. Real intent surfaces. Meetings get booked.
New market, new product, new ICP. No rebuild required. Add context to the knowledge base. The agent adapts. There are no playbooks to duplicate or branches to trace.
Qualification based on what buyers actually say, not checkbox logic. Docket understands intent from the conversation itself, routing and booking without predefined conditions.
Operational overhead as programs scale
Avg: 0 hrs of playbook maintenance per week

See how fast your team can go live without building a single playbook.

Book a demo

Three reasons why Docket is better than Qualified

Built to sell, not just chat

SE-caliber discovery questions that uncover budget, timeline, and decision-makers.

Built to sell, not just chat

Multimodal by design

Voice calls, visual demos, and interactive guidance that convert faster than text-only chat.

Multimodal by design

Enterprise Grade Accuracy & Control

Verified answers and knowledge graphs that prevent costly hallucinations.

Enterprise Grade Accuracy & Control

Docket vs Qualified PiperX

Explore how an AI-native conversational agent changes the game compared to a traditional chatbot

Docket
Qualified PiperX
Core philosophy
AI Product Expert (agentic, reasoning, action)
Conversational marketing/chat with AI assist
Knowledge quality
Proprietary cleansing removes noise, deduplicates, updates recency; verified Q&A; bestseller-weighted "tribal" knowledge; curated knowledge graph
Primarily static content + rules; risk of generic or stale responses
SE-quality answers
Solution-oriented, persona-aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Slides & Video Retrieval
Solution-oriented, persona-aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Multimodal selling
Voice + text + slides/images + video; can present and speak in calls and on site
Text-centric chat experiences
On-site discovery
Progressive profiling and dynamic discovery flows to qualify without friction
Form gates and staged bot dialogs
Pipeline impact
Built-in A/B testing framework and pipeline attribution (promised in product roadmap)
Form-fill/MQL oriented; pipeline tie-back typically indirect
Control/guardrails
Topic, tone, exclusions (e.g., pricing), answer verification, citations
Rules, playbooks; limited verified answer system
Recency & accuracy
Recency re-ranking, post-generation critiquing, verified answer retrieval
Relies on latest uploaded content; minimal post-gen critique
Data ingestion
Slack, Gong/Chorus/Clari, Drive, Confluence, website crawl, CRM, etc.; daily to hourly deltas
Standard CMS/CRM connects; heavy playbook setup
Setup/go-live speed
Preprocessing lifts accuracy and lowers run-time cost; 24–72h to first value typical
Multi-week playbook and rules tuning
Pricing model
Consumption-aligned; caps available; predictable enterprise bundles
Large fixed platform fees for site coverage
Docket
Qualified PiperX
Core philosophy
AI Product Expert (agentic, reasoning, action)
Conversational marketing/chat with AI assist
Knowledge quality
Proprietary cleansing removes noise, deduplicates, updates recency; verified Q&A; bestseller-weighted "tribal" knowledge; curated knowledge graph
Primarily static content + rules; risk of generic or stale responses
SE-quality answers
Solution-oriented, persona-aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Slides & Video Retrieval
Solution-oriented, persona-aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Multimodal selling
Voice + text + slides/images + video; can present and speak in calls and on site
Text-centric chat experiences
On-site discovery
Progressive profiling and dynamic discovery flows to qualify without friction
Form gates and staged bot dialogs
Pipeline impact
Built-in A/B testing framework and pipeline attribution (promised in product roadmap)
Form-fill/MQL oriented; pipeline tie-back typically indirect
Control/guardrails
Topic, tone, exclusions (e.g., pricing), answer verification, citations
Rules, playbooks; limited verified answer system
Recency & accuracy
Recency re-ranking, post-generation critiquing, verified answer retrieval
Relies on latest uploaded content; minimal post-gen critique
Data ingestion
Slack, Gong/Chorus/Clari, Drive, Confluence, website crawl, CRM, etc.; daily to hourly deltas
Standard CMS/CRM connects; heavy playbook setup
Setup/go-live speed
Preprocessing lifts accuracy and lowers run-time cost; 24–72h to first value typical
Multi-week playbook and rules tuning
Pricing model
Consumption-aligned; caps available; predictable enterprise bundles
Large fixed platform fees for site coverage

Ready to see the difference firsthand?

Most teams are live in under two weeks. No playbooks. No ramp time. No budget anxiety.

Book a demo

Why teams are replacing Qualified with Docket

Proprietary Knowledge Preprocessing

Pristine knowledge base with 90% fewer AI mistakes.

Filters out chit-chat from calls and Slack to focus on sales-critical insights, dedupes drafts, and prioritizes current documentation.

Proprietary Knowledge Preprocessing

Knowledge Graph for Revenue

Lightning-fast, contextually perfect responses that advance opportunities.

Sales-centric intelligence, not generic corporate knowledge, focused on objections, competitors, case studies, discovery questions, and ROI while maintaining granular accuracy.

Knowledge Graph for Revenue

Triple-Verification System

Enterprise-grade accuracy that protects deals and brand reputation.

Retrieves → Reasons → Critiques → Verifies before responding, multi-step validation process prevents costly AI errors by citing sources and fact-checking before delivering answers.

Triple-Verification System

Multimodal Experiences That Convert

Personalized interactions that match how prospects prefer to learn.

Voice-first or text, tailored to page intent and visitor history, to deliver seamless conversations that feel like talking to your best rep, with visual explanations (slides and screenshots) for complex concepts.

Multimodal Experiences That Convert

Ready for a qualified alternative, Docket provides…

  • Consumption-aligned pricing — start with a platform fee, then pay per engagement with a hard cap
  • No surprise true-ups. Qualified-like tools often cost 3–5x more for text-only chat
  • Docket goes live in 24–72 hours and charges for actual value delivered
  • Native integrations with Salesforce, HubSpot, Gong, Slack, and 50+ tools
Salesforce HubSpot Gong Slack Notion Google Drive SharePoint +43 more
Docket Integrations
More from the wall

Hear it. Read it. Then talk to ours.

Live audio from B2B leaders trying Docket for the first time, plus reviews from G2.
See more reactions →

Recorded customer call
All the responses were on point. Technically accurate. We will lose credibility instantly if any of that goes wrong, because our audience is very captive.
Click to play the clip
CMO · Cybersecurity, 200+ employees
SN
Sai N.
Product & Growth, Mid-Market (51-1000 emp.)
G2
Docket Turned Our Website Into a Lead Engine
What stands out most is how "alive" our website feels now. DocketAI's marketing agent doesn't just greet visitors. It holds intelligent, on-brand conversations that actually move them forward. We went live in under two weeks and saw a 10% lift in qualified inbound leads almost immediately.
Recorded customer call
I was kind of wincing because we don't have competitive information on our site. I'm wondering how it was going to respond. I actually thought it was pretty impressive.
Click to play the clip
VP Marketing · HR & Benefits Software, 200+ employees
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Frequently Asked Questions

Is this just another chatbot?
No. Docket is an AI-native Marketing Agent that educates buyers, qualifies intent, and books the right rep automatically.
How does Docket handle security?
Access is limited to approved sources; data retention is controlled; transcripts and fields write only to systems you specify. Audits are exportable for review.
What about uptime and support?
Docket has white-glove onboarding and responsive support; your agent goes live quickly and improves with feedback over time.
Do you have to have a native integration with Salesforce?
Yes, We have 50+ integrations including Native integrations with Salesforce, HubSpot etc.

Ready for a safer, smarter Qualified alternative?

See Docket In Action For Your Website