How MIND works

Enterprise adoption and governance lifecycle. MIND adoption is not linear: organizations enter with different levels of readiness and converge only after governance is operational.

The lifecycle at a glance

  1. Day 0-1Workspace activation
  2. Day 7-30Delivery path
  3. Day 30-90Governed operations
  4. OngoingOrg-wide governance
Time to value
30-90d
Retention
90%
Core paths
5

Lifecycle

From contract to organization-wide governance

Three delivery paths and one exit. Every path that lands converges on governed operations.

Entry fans out to standard, custom and managed paths; all converge on governed operations, then organization-wide governance; a stall exits before the coreWorkspace activationDay 0-1Standard7-14dCustom+15-30dManaged+30dStallexitGoverned operationsDay 30-90 · all paths convergeOrganization-wide governanceongoing

Stages

Every stage in detail

  1. Entry

    Workspace Activation

    Purpose

    Sales handoff to product ownership transfer. Contract is executed, tenant is provisioned, and administrative access is established. No technical work yet.

    What happens

    • MSA/SOW executed, billing initialized
    • Tenant provisioned in MIND infrastructure
    • SSO/identity integration configured
    • Admin credentials issued
    • Onboarding kickoff scheduled

    Deliverables

    Active workspace URL, admin access, billing confirmation, assigned CSM contact, onboarding timeline.

    Volume
    100%
    Duration
    0-1d
    Owner
    Sales
  2. Primary path

    Standard MIND Deployment

    Overview

    The 'happy path' for most teams. Default governance stack with managed providers, reference policies, and standard configurations. Minimal customization required.

    What gets enabled

    • Provider registry activated (managed model providers)
    • Default governance rules enabled
    • Runtime orchestration online
    • UI + API access granted
    • Standard audit logging active

    Ideal for

    Teams without complex regulatory requirements, using standard LLM providers, ready to adopt reference governance policies with minimal modification.

    Of customers
    ~60%
    To live
    7-14d
    Motion
    Self-Serve
  3. Alternative path

    Custom Governance Setup

    Overview

    For organizations requiring governance configurations beyond the standard stack. Custom policies, external providers, or organization-specific control requirements.

    Triggering conditions

    • Regulated environments (healthcare, finance, defense)
    • Custom compute / LLM providers (cloud-hosted or private endpoints)
    • Internal policy requirements that differ from reference
    • Multi-region or data residency constraints

    Additional work

    Policy design sessions, custom provider integration, compliance mapping, security review alignment, extended testing cycles.

    Of customers
    ~25%
    Extra time
    +15-30d
    Motion
    Guided
  4. Managed delivery

    Managed Enterprise Delivery

    Overview

    White-glove delivery mode for strategic accounts. Dedicated solutions engineering, policy design workshops, and SLA-backed support throughout deployment. This is a delivery mode, not a product tier.

    Delivery includes

    • Dedicated solutions engineer
    • Policy design workshops with stakeholders
    • Multi-tenant / multi-org setup support
    • Custom integration development
    • Executive business reviews

    Ideal for

    Large enterprises, complex multi-product deployments, organizations requiring change management support, executive-visibility implementations.

    Of customers
    ~10%
    Extra time
    +30d
    Delivery
    High-Touch
  5. Exit

    Adoption Stall

    Definition

    Failure to operationalize MIND within the organization. This is NOT churn: it's failure to move from contracted to deployed. The product was never truly adopted.

    Common causes

    • No internal owner / champion departure
    • Organization not AI-ready (no active initiatives)
    • Strategic deprioritization / competing projects win
    • Reorg disrupts sponsorship
    • Budget reallocated before deployment

    Prevention

    Better pre-sales qualification on AI readiness, executive sponsor identification, implementation resource commitment verification, shorter time-to-value targets.

    Exit rate
    ~5%
    To detect
    30-60d
    Recovery
    Low
  6. Core platform

    Governed AI Operations

    Definition

    This is where MIND becomes mission-critical infrastructure. All deployment paths converge here. Policies are enforced, costs are tracked, providers are orchestrated.

    Capabilities live

    • Runtime execution active
    • Budget enforcement operational
    • Audit logs collecting
    • Safety constraints enforced
    • Provider orchestration running
    • Team access provisioned

    Value realization begins

    First production workloads running through MIND. Cost visibility established. Governance posture measurable. Platform is no longer a tool: it's infrastructure.

    Reach core
    ~95%
    Timeline
    30-90d
    Owner
    CSM
  7. Success

    Organization-Wide AI Governance

    Definition

    AI governance standardized across the organization. Risk reduced through consistent policies. Spend controlled and predictable. Not everyone who reaches Core expands org-wide: some remain single-team deployments.

    Success indicators

    • Multiple teams actively using MIND
    • Predictable, controlled AI costs
    • Compliance-ready AI usage patterns
    • Governance policies adopted org-wide
    • Executive visibility into AI operations

    Expansion opportunity

    New teams onboarding, additional use cases discovered, tier upgrades, geographic expansion, adjacent product adoption. NRR engine begins.

    Of core
    ~90%
    Duration
    Ongoing
    Owner
    Account
An office floor of nine team pods. Governance goes live on the first team and spreads pod by pod until every team carries the policy seal, while a marker runs along a timeline from Day 0 to Day 90.

Plan your rollout with us.

Talk to the team about which path fits your organization.