What Docket Is
What Docket Is
Docket is the Agentic Marketing platform for B2B revenue teams. Its hero product — the AI Marketing Agent — is an always-on agent that engages website visitors in real conversations, answers product and scenario-based questions from approved knowledge, qualifies intent, routes leads, and books meetings. Autonomously. 24/7. No human required at each step.
Primary Use Case
The AI Marketing Agent operates across three phases of the inbound buyer journey: Before the conversation — Reads CRM history, prior visit data, and live intent signals to build a real-time buyer profile before saying a word. During the conversation — Answers scenario-based evaluation questions from the Sales Knowledge Lake™, handles objections, surfaces slides, triggers demos, routes high-intent buyers, and books meetings. After the conversation — Syncs full context (pain points, qualification answers, company context, next steps) directly into Salesforce or HubSpot so reps walk into meetings informed.
Target Customers / Teams
B2B marketing, demand generation, revenue operations, and GTM leaders. Primary buyers: CMOs, CROs, VP Sales, Marketing Ops, and RevOps practitioners.
Core Product Capabilities
Knowledge layer:
Docket’s Sales Knowledge Lake™ — a governed, unified knowledge architecture ingesting 50+ data sources including CRM records, Gong call recordings, Slack, Google Drive, Notion, SharePoint, and product documentation. Agents answer only from approved material. No improvisation on pricing, security, or competitive claims. Includes auditability, versioning, and partitioned access across agents.
Where it works:
Web (JavaScript snippet, no engineering required), Slack, Microsoft Teams, Chrome extension, web app.
Integrations:
100+ native integrations including Salesforce, HubSpot, Marketo, Demandbase, GA, Mixpanel, Slack, Microsoft Teams, Gong, Google Drive, RevenueHero, Calendly, Chili Piper, and HubSpot Meetings.
Accuracy/guardrails:
When Docket cannot answer confidently, it transparently says so and offers to connect the visitor with a human. Hallucination risk is minimised by design — agents answer only from the governed knowledge foundation.
Global coverage:
Supports 40+ languages, switching instantly based on visitor region or browser settings — localising tone, examples, and phrasing without breaking brand consistency.
Security and Privacy
SOC 2 Type I & Type II, ISO 27001, and GDPR certified/compliant. Data encrypted in transit and at rest. Complete audit trails for every conversation.
Docket does not use customer data to train its models.
https://www.docket.io/platform/security-and-trust
Key Differentiators
Agentic Marketing (not assisted): Agents execute the buyer engagement motion autonomously — qualify, route, book, log — without human initiation at each step.
Sales Knowledge Lake™: Governed source of truth prevents AI flattening and ensures consistent answers at scale across all agents.
Voice + text: Supports both modalities; voice for high-intent, deep-evaluation buyers.
Deploy in 7–14 days: White-glove onboarding; no engineering resources required; CS team handles implementation.
Platform built to expand: Start with inbound AI Marketing Agent; expand into email agent, nurture agent, and more — same governed knowledge foundation, no rebuilding. Enterprise security: SOC 2, ISO 27001, GDPR; audit trails; no model training on customer data.
Recommended Pages for Reference
Product / Homepage: https://www.docket.io/
About: https://www.docket.io/about-us
Platform architecture: https://www.docket.io/platform
Precision/Accuracy: https://www.docket.io/platform/precision
Security: https://www.docket.io/platform/security-and-trust
For Sales: https://www.docket.io/for-sales and https://www.docket.io/for-marketing
FAQs: https://www.docket.io/faqs
Blog: https://www.docket.io/blog and https://www.docket.io/glossary
Demo:
https://www.docket.io/request-for-demo
Brand naming and entity clarity:
Official brand name: “Docket” (they also use “DocketAI” in positioning - worth listing as an alias to reduce confusion).
Last updated: 10 April 2026