AI Migration Cockpit
AI-Powered System Migration
Changing CRM or HR systems means moving years of messy data — the part that blows budgets. AI does the mapping and cleanup, so data loads right the first time: 90%+ first-pass rates.
What's inside
Everything the package ships with.
Source profiling agents — schema discovery, quality scoring, referential integrity checks
Mapping-generation agents — target-system-aware with human review
Transformation workers — cleansing and enrichment during migration, not after
Load agents with retry logic and error classification
Reconciliation dashboard: source vs. target counts, deltas explained
Rollback and re-run infrastructure
Sizing & published pricing
Three sizes. One architecture.
Scope compresses down, not features. S-tier is playbook-driven — a single senior engineer delivers against pre-built accelerators inside a fixed configuration boundary. M-tier extends the same systems into landscapes with multiple sources, custom rules, and real integration complexity. L-tier is the full enterprise engagement: dedicated environments, SOC 2 wrap, roadmap co-development, and — for SAP customers — clean-core BTP integration. Same architecture at every size.
Band
≤ 500 employees · one system, one team
Timeline
6–8 weeks
Published price
from $22k
Band
500–5,000 employees · multiple sources or rules
Timeline
10–16 weeks
Published price
$95–175k
Band
5,000+ employees · enterprise scope, SOC 2, roadmap co-development
Timeline
14–20 weeks
Published price
$225–500k
Published bands are directional. Final commercial terms are per-client SOW. Managed operations are quoted separately.
Timeline
10–16 weeks from scope to live.
Every package follows the same four-phase delivery. What changes at each tier is the count of sources, rules, and integration surface — not the shape of the work.
Weeks 1–3 · Baseline
Profile source, agree wave plan, build data quality score.
Weeks 4–10 · Waves
Iterative extract → transform → load waves with reconciliation.
Post-cutover · Stabilization
30 days of exception clearing and audit support.
For SAP customers · Bridge to SAP-native
This is the same AI Data Engine that delivers our SAP migrations. Moving to S/4HANA later? The mappings, agents, and reconciliation framework carry forward. See how DEBCOR extends this into SAP →
Funded by SAP · Through 2026
This package may not cost what you think.
SAP has committed €100 million to partner-led Business AI adoption, funding Business AI deployments on the SAP stack through approved partners. DEBCOR Engineering is an approved partner: we architect the case with you, then navigate SAP's process end to end. The window closes at the end of 2026.
Scope this package
Fixed scope, fixed price. Tell us the document types and the systems, and we'll come back with a one-page proposal.
Start scopingNot sure this is the one?
Book a 30-minute fit call with a senior architect. We'll tell you if this is the right package, a different one, or nothing at all.
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