How MIND works
The lifecycle at a glance
- Day 0-1Workspace activation
- Day 7-30Delivery path
- Day 30-90Governed operations
- 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.
Stages
Every stage in detail
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Plan your rollout with us.
Talk to the team about which path fits your organization.