Product

AI Sales Platform

AI Sales Platform concept — lead pipeline from discovery to appointmentLead pipelineDiscoveryFind companiesEnrichmentContactsQualificationScorePersonalizationOutreachEngagementConversationsAppointmentMeetingsAI core — enrichment, scoring and workflow state
In development

Conceptual illustration: lead discovery → enrichment → qualification → personalization → engagement → appointment.

An AI-assisted sales platform designed to discover businesses, enrich prospect data, qualify opportunities, support personalized outreach and move leads toward meaningful sales conversations.

In development — a conceptual product, not yet shipped. This page records direction, not available software.

Overview

Built to solve a real workflow problem.

The problem

Finding and qualifying B2B prospects takes significant manual effort: repeated web research, data entry, guessing which contacts matter, and sending documentation-heavy outreach that rarely matches the context of each account. Results are hard to reproduce and even harder to improve.

Who it's for

We are designing this for sales and growth teams that need a repeatable, data-aware prospecting motion rather than another CRM entry point.

  • B2B sales and business-development teams
  • Founders running outbound prospecting themselves
  • Revenue operations looking for auditable, human-reviewed lead workflows

How it works

AI assists the repetitive work in each stage, while qualification logic, data quality and human oversight stay explicit and configurable.

Primary audienceB2B companies and sales teams running high-volume prospecting on research, enrichment, qualification or outreach.

Capabilities

What the platform is built to do.

The parts of the system, and where each one sits in the process. Every capability here is part of one system rather than a separate tool.

  • Discovery

    Lead Discovery

    Find companies through the data sources the platform connects to, instead of repeating the same manual research every week.

    • Data sources
    • Company records
    • Lead lists

    Design direction

  • Enrichment

    Lead Intelligence & Enrichment

    Complete what is missing about a company and its contacts, so the next step is taken on evidence rather than assumption.

    • Company data
    • Contact data
    • Data quality

    Design direction

  • Qualification

    ICP Qualification

    Score a lead against transparent criteria you set, so fit is visible and can be argued with before time is spent.

    • Criteria
    • Scoring
    • Fit

    Design direction

  • Outreach

    Outreach & Personalization

    Prepare drafted outreach that reflects what is actually known about the account, with a person reviewing it before it is used.

    • Drafting
    • Personalization
    • Human review

    Design direction

  • Conversation

    Conversations & Human Follow-up

    Handle replies in one place with the lead's context in view, so a person can take the conversation forward.

    • Conversations
    • Human replies
    • Audit log

    Design direction

  • Appointment

    Appointment Scheduling

    Move a qualified conversation towards a booked meeting, with scheduling handled as part of the workflow rather than as a separate chore.

    • Meetings
    • Scheduling
    • Calendar connection

    Design direction

  • Platform

    Integrations & Platform Settings

    One place to see which data sources are connected, how the workflow is configured and what has happened in each stage.

    • Connectors
    • Workflow state
    • Configuration

    Design direction

Workflow

How it works end to end.

One representative path through the system, in the order the stages run.

  1. Discover

    Connected data sources produce candidate companies.

  2. Enrich

    Company and contact records are completed.

  3. Qualify

    Leads are scored against criteria you set.

  4. Outreach

    Drafts are prepared and reviewed by a person.

  5. Conversation

    Replies are handled with the lead's context in view.

  6. Appointment

    A qualified conversation moves towards a booked meeting.

Conceptual view

How the platform is arranged.

The layers the capability set is built on, and the parts that sit in each one.

  1. Discovery sources

    Where candidate companies enter the workflow.

    • Connector-driven data sources
    • Company records
    • Source configuration
  2. Lead intelligence

    Where records are completed and leads are scored.

    • Enrichment
    • Qualification criteria
    • Scoring
  3. Engagement

    Where outreach is drafted and conversations are handled.

    • Outreach drafting
    • Inbox
    • Human review
  4. Scheduling

    Where a qualified conversation becomes a meeting.

    • Appointment scheduling
    • Calendar connection
    • Meeting state
  5. Platform foundation

    Where configuration, permissions and the audit trail live.

    • Access and roles
    • Workflow state
    • Audit log

Conceptual only. These layers describe the intended structure of the product, not deployed infrastructure, and this page does not describe a shipped system.

Interested in AI Sales Platform?

This product is in development. Talk to us about early access, partnership or a related custom build.