Getting Started

Workspace Setup

What to configure in the company, team, and AI workspace before using CRAIM at production depth.

CRAIM performs best when the workspace is configured as an operating system for the revenue team, not just as a list of contacts.

Company setup

At the company level you should define:

  • legal or brand name
  • primary working language
  • default currency and commercial context
  • owner or founder context for escalations

Team setup

Use team setup to define who owns real execution and who reviews AI output.

  • founder or executive reviewer
  • sales manager
  • operator or SDR
  • RevOps or admin

Why this matters

The product already supports authenticated users, invitations, settings, and company-scoped access. If ownership is vague, inbox handling, task routing, and approval queues become noisy.

AI workspace setup

The AI workspace is where CRAIM stores operational memory and source documents for the company.

Start with:

  • company profile
  • buyer profiles
  • offers
  • objections
  • pipeline rules
  • tone of voice
  • SLA expectations

Evidence-first rule

Do not ask AI to act confidently where the workspace is still empty.

Good setup means:

  • core offers are documented
  • objection handling is documented
  • qualification signals are documented
  • tone of voice is documented

Bad setup means:

  • prices only live in random notes
  • qualification logic lives only in a founder's head
  • AI is expected to infer unsupported claims from message history

Team onboarding checklist

For sales managers

  • verify pipeline stages
  • verify assignment logic
  • verify approval expectations

For operators

  • review inbox workflow
  • review lead and task states
  • understand what AI suggestions mean and what is still manual

For admins

  • configure integrations
  • validate webhook and OAuth paths
  • check access boundaries

Production readiness signal

You are ready for broader AI automation when:

  • channels are connected
  • lead intake is creating records correctly
  • the AI workspace contains real business evidence
  • reviewers can approve outbound quickly
  • reporting and analytics reflect actual operations