Timeline depends on complexity, connector count, customization depth, and organizational readiness.
A typical enterprise migration ranges from 6 months to 18 months from assessment to full cutover and stabilization.

Simple, well-scoped migrations with 3–5 connectors may take 4–6 months.
Complex deployments with 20+ connectors, extensive custom code, and high data volume may take 12–18 months.

We provide detailed timeline estimates during the assessment phase, with phased milestones and risk factors called out.

Yes, absolutely. Parallel operation is the standard approach for large, mission-critical migrations.

We typically run both systems in parallel for UAT and early production cutover. This approach:

• Allows continuous reconciliation and data validation
• Reduces cutover risk; you can rollback if needed
• Gives your team confidence in the new system before full migration
• Supports phased service migration, connector by connector

Parallel operation adds infrastructure cost and operational overhead but is well worth the risk reduction and confidence gain.

Not directly. midPoint has a different connector architecture than MIM. However, we have multiple paths forward:

• Native midPoint connectors: Many standard systems (Active Directory, LDAP, SQL databases, APIs, HR systems) have first-class connector support in midPoint
• Custom connector development: We engineer connectors for proprietary or complex systems using midPoint’s connector framework
• Hybrid approach: Use native connectors where available; engineer custom connectors for unique systems

We assess your current connector landscape during the assessment phase and recommend the most efficient rebuild strategy.

Identity data migration is planned and validated carefully to ensure zero loss and data integrity.

Our typical approach:

• Extract and map identity data from MIM metaverse and repositories
• Load into midPoint using bulk import tools or APIs
• Reconcile data against source systems and MIM baseline
• Validate key metrics: user count, account status, group membership, role assignments
• Run reconciliation reports pre- and post-cutover to confirm integrity

You maintain full visibility and control. Data migration is tested in non-production environments first.

You have deployment flexibility. midPoint can run on your existing infrastructure if it meets performance and security requirements.

Deployment options include:

• On-premises VMs: Deploy on ESXi, Hyper-V, or KVM; reuse existing virtualization infrastructure
• Physical servers: Supported, though less common in modern environments
• Cloud IaaS: AWS EC2, Azure VMs, or other cloud providers
• Kubernetes / containers: Deploy midPoint in containerized environments for modern DevOps practices

We assess your current infrastructure during the design phase and recommend the deployment model that best suits your environment and future roadmap.

Yes, and often exceeds them. midPoint includes sophisticated governance, approval, and compliance automation:

• Request workflows: Multi-step approval processes for access requests, role assignments, and account modifications
• Role engineering: Flexible role hierarchies, role catalogs, and automated role assignment
• Segregation of duties (SoD): Conflict detection and prevention at access grant time
• Access reviews: Scheduled, data-driven reviews of user access with built-in approval workflows
• Joiner/mover/leaver automation: Full identity lifecycle tied to HR events (hiring, transfers, termination)

midPoint governance is more modern and more granular than MIM’s workflow engine. You’ll likely find it easier to model complex business rules and approval hierarchies.

Cost depends on scope, complexity, timeline, and staffing model. We provide a detailed cost estimate during the assessment phase.

Budget typically includes:

• Professional services (assessment, design, engineering, UAT, go-live)
• midPoint licensing (typically per-deployment, not per-user)
• Infrastructure (servers, databases, or cloud resources)
• Training and knowledge transfer
• Post-go-live support and stabilization

Many organizations find that midPoint’s per-deployment licensing model yields lower TCO than MIM’s per-user model, especially as user populations scale.

Knowledge transfer and ongoing support are critical to successful migration. We include:

• Hands-on training: Operations team training on deployment, configuration, troubleshooting, and day-to-day management
• Documentation: Architecture guides, runbooks, deployment procedures, and emergency procedures
• Stabilization support: Typically 30–90 days of post-go-live support to address issues and optimize performance
• Ongoing advisory: Many clients continue advisory or retainer relationships for governance questions, major configuration changes, or technology roadmap decisions

Your team owns and operates the platform; we ensure you have the knowledge and tools to do so confidently.

We have experience migrating from multiple legacy IAM platforms including SAP IDM, Microsoft MIM, One Identity Directory,
IBM Identity Manager, and custom in-house systems. The patterns are similar across platforms:

• Audit and document the existing platform
• Redesign identity and governance models for modern architecture
• Engineer connectors for the target system landscape
• Validate data migration and reconciliation
• Execute phased or parallel cutover

Each migration is unique, but lessons learned across multiple engagements strengthen our approach and reduce risk.

Yes. We offer several post-migration engagement models:

• Advisory retainer: Ongoing strategic and architectural guidance on midPoint governance and roadmap
• Support and SLA: Dedicated support with defined SLAs for critical issues
• Managed services: We can manage operational aspects of the midPoint deployment (patching, upgrades, backups, monitoring)
• Project-based engagements: Major features, integrations, or system enhancements as the business demands

We work with each client to define the right support model based on organizational maturity, team size, and business complexity.