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Migration & Upgrades

How to Choose a Dynamics Migration Partner [2026]

The right migration partner reduces go-live risk by 40–60%, prevents cost overruns, and accelerates user adoption—but selecting the wrong partner can derail even well-planned migrations. Evaluate based on proven experience with your specific legacy system, data migration depth, risk-sharing contract terms, and strong post-go-live support.

Last updated: March 19, 202613 min read8 sections
Quick Reference
Impact of Partner ChoiceGood partner = 40–60% lower risk; poor partner = 25–50% timeline slip
Minimum Experience Required5+ completed migrations of your legacy system
RFP Timeline3–4 weeks to develop; 3–4 weeks for vendor response
Evaluation Cycle4–6 weeks (proposals, demos, reference calls, negotiation)
Data Migration ExpertiseSeparates good partners from great; often custom-built capability
Partner-Caused DelaysMost common: inadequate scoping, underestimating customization
Reference Check ImpactReferences reveal 80% of project issues; always call them
Cost VarianceInexperienced partners overrun 40–60%; experienced partners ±10%

Choosing the right implementation partner is arguably the single most important decision in a Dynamics migration. The difference between a great partner and a mediocre one is 40–60% in timeline risk, budget variance, and user adoption success. Yet many organizations select partners based primarily on cost or brand familiarity, overlooking experience, methodology, and risk-sharing structures. This guide provides a framework for evaluating and selecting a Dynamics migration partner that minimizes risk and maximizes the likelihood of a successful cutover.

Why Partner Choice Matters

Migration is a bounded, high-stakes project. Unlike ongoing system support, there's a single go-live date, a fixed scope (ideally), and defined success criteria. Partner competence directly translates to execution quality.

Studies of ERP migrations show:

  • Experienced partners (5+ prior migrations of the same legacy system) deliver on-time 85% of the time and stay within budget ±10%.
  • Inexperienced partners (first or second time with a legacy system) slip timeline 40–60%, overrun budget 30–50%, and often require significant rework post-go-live.
  • Partner-driven issues (underestimating scope, weak data migration, inadequate testing) account for 40–50% of project delays.
  • Cost differential: A great partner may cost 10–15% more upfront but delivers 40–50% better ROI through faster go-live, lower rework, and faster user adoption.

In short: cheap is expensive if the partner delays your go-live by 6 months or causes post-go-live instability.

Three Categories of Migration Partners

Not all partners are equal. Understand the three archetypes:

1. Migration Specialists

Pure-play migration firms focused exclusively on legacy system modernization. Examples: Data Migration Specialists, Konverge, Artisan Partners (varies by geography).

  • Strengths: Deep expertise in data migration, legacy system nuances, cutover logistics. Often have proprietary accelerators & tools. Obsessed with data quality & reconciliation.
  • Weaknesses: May lack depth in new system design & optimization. Less exposure to business process re-engineering. Smaller firms may not scale for large implementations.
  • Best for: Data-heavy migrations (manufacturing, financial services, utilities). Organizations with complex legacy systems. High-risk migrations.
  • Cost: Typically premium (10–20% more than generalists), but better data migration ROI.

2. System Integrators (Large Consultancies)

Big firms (Deloitte, Accenture, Avanade, KPMG) with broad ERP expertise across multiple platforms and verticals.

  • Strengths: Large bench of consultants, strong methodology, enterprise-class project management. Experienced in complex, multi-site implementations. Strong change management & training practices.
  • Weaknesses: Often less experienced in specific legacy systems. May apply generic methodology rather than tailored approach. Data migration expertise varies widely by practice. Higher cost.
  • Best for: Large enterprises (1000+ users), multi-site / multi-country migrations, organizations needing enterprise-grade governance.
  • Cost: Highest (20–40% premium), but justify through scale & brand reputation.

3. Specialized Resellers / Partners

Mid-sized firms specializing in a specific legacy system or target platform. Examples: Dynamics Partners (Microsoft ecosystem), Infor Partners, SAP Partners.

  • Strengths: Deep platform expertise, proven methodology for that ecosystem. Usually faster, more efficient than big firms. Good cost/value ratio.
  • Weaknesses: Less scale for very large implementations. May lack experience in specific industries or geographies. Smaller bench = key person risk.
  • Best for: Mid-market migrations (100–500 users). Organizations in common industry verticals. Cost-conscious buyers who don't need enterprise-scale firms.
  • Cost: Mid-range (0–15% premium).

Recommendation: Most mid-market migrations (mid-market is the most common scenario) are best served by specialized resellers with 5+ migrations of your specific legacy system. They offer the right balance of experience, cost, and agility.

Key Evaluation Criteria

Structure your partner evaluation around six dimensions:

1. Relevant Experience (30% weight)

The Question: Have they successfully migrated your legacy system (e.g., Dynamics SL, GP, NAV, AX 2012) to your target platform (Business Central, D365 F&O)?

What to Look For:

  • Minimum 5 completed migrations of your legacy + target system combination
  • Documented case studies with client names, timeline, scope, and outcomes
  • Named team members with direct hands-on experience (not just account managers)
  • Experience in your industry vertical (manufacturing, distribution, professional services, etc.) is a plus
  • Experience with your data complexity (multi-site, multi-currency, complex costing, heavy customization)

Red Flags:

  • "We've done Dynamics migrations" but no specifics about your legacy system
  • Fewer than 5 prior migrations of your legacy system
  • Case studies with unnamed clients or vague outcomes
  • High partner turnover (lead architect leaves; team gets reassigned mid-project)
  • "We're expanding into your legacy system" (you become their learning project)

2. Data Migration Expertise (25% weight)

The Question: Do they have dedicated data migration capability, or is data migration an afterthought?

What to Look For:

  • Dedicated data migration team (separate from implementation team)
  • Proprietary data migration tools or accelerators (SSIS templates, custom scripts, data validation frameworks)
  • Proven methodology for data audit, quality assessment, remediation, and reconciliation
  • Experience with complex data challenges: duplicate consolidation, orphaned records, legacy custom fields, data type conversions
  • Strong SQL & ETL capabilities (can write complex transformation logic, not just drag-and-drop tools)
  • Documented case studies of large data migration challenges and how they solved them

Why It Matters: Data migration is 30–40% of a typical implementation. Partners weak in data migration will struggle, slip timeline, and deliver poor data quality post-go-live. This is the #1 area where partners fail.

Red Flags:

  • "We use standard tools like SSIS" (everyone does; how is their approach differentiated?)
  • No dedicated data migration team (data work gets distributed to implementation consultants who prioritize config over data)
  • Data migration is a line item with no detail on approach or rigor
  • Vague statements like "we'll handle data mapping during implementation" (reactive, not proactive)

3. Methodology & Approach (20% weight)

The Question: Do they have a proven, repeatable project methodology tailored to migrations?

What to Look For:

  • Documented project methodology with clear phases, gates, and deliverables
  • Risk management framework: how do they identify, track, and mitigate risks?
  • Testing strategy: how many test cycles? What automation do they use? How do they validate data quality?
  • Cutover approach: detailed cutover plan with parallel processing, contingency steps, and rollback procedures
  • Accelerators & templates: pre-built configuration, data migration scripts, test cases (reduces custom build & rework)
  • Hyper-care approach: 4–8 weeks of post-go-live support with defined response times & escalation

What Good Looks Like: Partner presents a 1-page project roadmap showing key phases, timeline, team roles, and decision gates. They can articulate how their approach addresses your specific risks (complex data, heavy customization, multi-site, legacy integrations, etc.).

Red Flags:

  • "Every project is unique; we customize our approach" (code for: no repeatable methodology)
  • Vague timelines or phase gates
  • No mention of risk management or testing strategy
  • Minimal post-go-live support (e.g., "2 weeks of hypercare" is insufficient)
  • No accelerators or templates (everything is custom-built, increasing timeline & cost)

4. Team & Capacity (15% weight)

The Question: Will you get a dedicated, experienced team, or will key resources get pulled to other projects?

What to Look For:

  • Named, dedicated project manager (full-time on your project) with 3+ prior migrations
  • Dedicated functional leads (Finance, Operations, Supply Chain) with domain expertise
  • Named data migration lead with hands-on ETL experience
  • Engagement manager who stays consistent (not swapped out mid-project)
  • Clear escalation path: senior partner advisor available for major decisions
  • Capacity plan: how many resources allocated to your project; what if scope changes?

What Good Looks Like: Partner provides org chart showing named individuals, their roles, experience, and time commitment (% allocation). Commitment is written into the contract and includes penalties if key resources are reassigned.

Red Flags:

  • "We'll assign resources once the contract is signed" (you don't know who you're getting)
  • High turnover in prior projects (team members reassigned mid-project)
  • Account manager on the proposal; actual PM is someone you've never met
  • Part-time project manager (means they're juggling multiple projects; your project deprioritized if conflicts arise)
  • Unclear team bench or capacity planning

5. Cost & Contract Terms (15% weight)

The Question: Is the pricing competitive, and does the contract allocate risk fairly?

What to Look For:

  • Fixed-price model: Vendor assumes risk if they underestimate; incentivizes efficiency. Best if scope is tightly defined.
  • Time-and-materials: More flexible if scope evolves, but less predictable on budget. Should include a target cost with contingency.
  • Milestone-based payments: 25% at contract, 25% at design approval, 25% at UAT, 25% at go-live. Avoids front-loading payment.
  • Penalty/bonus clauses: Late delivery = vendor pays penalties; early delivery = client pays bonus (incentivizes on-time execution).
  • Hypercare terms: Clearly specify: length (4–8 weeks), availability (hours per week, on-call), cost (included or T&M).
  • Change control process: How are scope changes priced and approved? Clear change control reduces disputes.

Red Flags:

  • 50% payment upfront (high risk for client if vendor fails to deliver)
  • Vague change control (no mechanism to handle scope changes without dispute)
  • Hypercare costs are separate & undefined (could be expensive when you need it most)
  • Unreasonably low bid (vendor will make it back through change orders & time overruns)
  • Unreasonably high bid (no justification for premium)

RFP Development & Response

A detailed RFP (Request for Proposal) ensures you get comparable responses and force vendors to think deeply about your project.

RFP Contents

  • Executive Summary: Business drivers, goals, timeline, budget (high-level)
  • Current State: Legacy system (modules, customizations, data volume, user count), infrastructure, third-party integrations
  • Future State: Target system, desired functionality, timeline, success metrics
  • Scope of Work: Detailed list of deliverables (assessment, configuration, data migration, testing, training, hypercare)
  • Evaluation Criteria: Weighted scoring (e.g., 30% experience, 25% data migration, 20% methodology, 15% team, 10% cost)
  • Questions for Vendors: (See sample questions below)
  • Reference Requirements: Request 3–5 references from similar migrations
  • Timeline: Proposal due date, presentation date, decision date

Sample RFP Questions

  • "Describe your experience migrating [LEGACY SYSTEM] to [TARGET SYSTEM]. How many completed migrations? Describe three examples (client name, company size, timeline, budget)."
  • "Describe your data migration approach. What tools do you use? What is your methodology for data audit, cleansing, validation, and reconciliation?"
  • "How do you identify and manage migration risks? Walk us through your risk management process."
  • "Describe your team structure and proposed resource allocation. Who are the named team members? What is their experience and time commitment?"
  • "What accelerators or templates do you have for this migration? How will they reduce timeline & cost?"
  • "How do you handle scope changes? Describe your change control process."
  • "What is your approach to post-go-live hypercare? Length, availability, cost, staffing?"
  • "What are the biggest risks you see in this migration? How will you mitigate them?"

Pro Tip: Ask vendors to propose a specific timeline & approach for your project, not generic responses. This forces them to think deeply and reveals how well they understand your situation.

ERP Implementation Contract Review Checklist

Complete checklist for reviewing Dynamics 365 and ERP implementation contracts. Understand key contract sections, red flags, pricing models, and negotiation tactics.

Read More

Reference Checking

References are gold. They reveal issues that vendors won't mention.

How to Check References Effectively

  • Request 3–5 references from completed migrations similar in size, scope, and complexity to your project.
  • Talk to the project sponsor (C-level), not just a technical contact. Sponsors have perspective on timeline, budget, and business impact.
  • Ask open-ended questions:
    • "What went well in the migration?"
    • "What challenges did you face? How did the partner respond?"
    • "Did the migration stay on timeline? On budget?"
    • "How responsive was the partner during hypercare?"
    • "Would you hire this partner again? Why or why not?"
    • "What would you have done differently?"
  • Listen for patterns. If multiple references mention data quality issues or weak hypercare, that's a red flag.
  • Ask for informal references too. Call peers in your network who've worked with the partner. Informal feedback is often more candid than official references.

Red Flags in References

  • "The migration was fine, but we had issues post-go-live" (suggests inadequate testing or hypercare)
  • "Timeline slipped by 3+ months" (indicates planning or execution weakness)
  • "We had major data issues after go-live" (data migration expertise is weak)
  • "The team got reassigned mid-project" (key person risk; capacity planning is weak)
  • "Cost overran by 30%+" (scoping or change control is weak)
  • References who seem coached or reluctant to speak candidly (vendor cherry-picked favorable references)

Contract Negotiation & Risk Allocation

Use your RFP evaluation to select 2–3 finalists, then negotiate terms.

Key Contract Elements

Element What to Negotiate
Scope & SOW Detailed statement of work listing all deliverables, modules, customizations, integrations, training, and hypercare. Avoid vague language like "reasonable efforts".
Fixed Price vs. T&M Fixed-price is preferable if scope is tightly defined. T&M is acceptable if scope evolves (but include a target cost & contingency).
Payment Schedule Milestone-based (25/25/25/25) tied to deliverable acceptance, not calendar dates. Avoid 50% upfront.
Timeline & Milestones Specific go-live date (ideally a range, e.g., "Week of [DATE]"). Clear phase gates & approval points.
Team & Resources Named team members with time commitment %. Restrictions on reassigning key resources without your approval. Escalation for absences.
Delays & Penalties If partner causes delay, vendor pays penalty (e.g., $X per week late) or client can terminate & hire alternative partner at vendor's cost.
Change Control Any scope change requires a written change order, cost estimate, & timeline impact. Both parties must approve before work begins.
Hypercare Support Length (4–8 weeks), availability (hours/week, on-call hours), cost (included or T&M), staffing (named resources).
Knowledge Transfer & Transition Partner trains your internal team on system configuration, support processes, and ongoing optimization. Typically 4–8 weeks post-go-live.
Liability & Insurance Partner maintains errors & omissions insurance. Liability cap (typically 12 months of contract value). Limitations of liability clause.
Intellectual Property You own all custom code, accelerators, and data mapping specs created during the project. Partner owns reusable methodology & templates.

Final Recommendation

After evaluating proposals, reference checking, and negotiating with finalists, you should have clear data to make a decision. Avoid selecting based solely on cost; opt for the partner with the best combination of relevant experience, data migration depth, and reasonable terms. The 10–15% premium for a great partner typically delivers 40–50% better outcome.

Conclusion

Choosing the right migration partner is a 4–8 week process of RFP development, vendor evaluation, reference checking, and negotiation. The investment in rigorous evaluation pays for itself many times over. A partner with 5+ prior migrations of your legacy system, dedicated data migration expertise, proven methodology, and fair risk-sharing contract terms will significantly reduce project risk and maximize the likelihood of a successful, on-time, on-budget migration.

Frequently Asked Questions

Using the same partner for assessment and implementation can build continuity and leverage assessment findings—but creates a conflict of interest (vendor has incentive to inflate scope to increase fees). A hybrid approach is best: use an independent firm for assessment, then RFP implementation partners with assessment results as input. This ensures objective scope and controls costs.

Migration specialists focus exclusively on legacy system modernization; they have deep expertise in data migration, legacy system nuances, and cutover risk management. General implementation partners (often the new system vendor or large consultancies) are strong in design and configuration but may lack data migration depth. For data-heavy migrations, prioritize migration specialists or partners with dedicated data practices.

Vendor-provided references are always favorable (vendors cherry-pick them). Call 3–5 references yourself, but don't rely solely on them. Combine with (1) Gartner/Forrester analyst reports, (2) third-party review sites (G2, Capterra), (3) your own industry network. Talk to peers informally about their migrations; you'll hear candid feedback.

Fixed-price is better IF your scope is tightly defined and the partner accepts risk. But vendors often under-bid fixed-price contracts and later claim scope creep (adding cost). Time-and-materials is more flexible if scope is evolving, but budget is unpredictable. Best practice: fixed-price for core migration, T&M for optional enhancements and hypercare support.

Pass. Vendors entering a new domain underestimate complexity, discover issues late in the project, and slip timeline by 30–50%. Your migration is not an opportunity for a vendor to learn a new system. Require documented proof of 5+ similar migrations with references you can call.

Accelerators (pre-built templates, data migration scripts, configuration blueprints) reduce implementation time by 20–30% if they fit your use case. But they matter only if the partner has strong methodology (process discipline, risk management, change management). A great methodology with no accelerators beats weak methodology with templates. Evaluate both.

Next
Microsoft Dynamics Legacy Product End-of-Life Timeline [2026]

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