WhyAI-Driven Migration?
Traditional migrations burn time in spreadsheets and manual fixes. We use AI to auto-map columns, normalize formats, detect anomalies, and draft transformation logic—reviewed by experts before go-live.
Smart Mapping
LLM-assisted column & entity mapping across systems; learns your business semantics and reduces manual effort by 50‑80%.
Data Quality Guardrails
Rules + ML checks for nulls, outliers, duplicates, referential integrity, and schema drift—backed by audit logs.
Human-innthe-Loop
Review flags in a single console. Approve, edit, or comment. Every change is versioned for compliance.
Core Migration Capabilities
Your shortlist from the brief plus everything needed for enterprise-grade cutovers.
Cross‑File Operations
Join, union, or reconcile across CSV/Excel/JSON; resolve duplicates with fuzzy matching and confidence scores.
Column Mapping
AI suggests target fields and transformations. Includes unit conversions, code‑set mapping, and reference data lookups.
Cleansing
Typo fixes, standardization (names, emails, addresses), case normalization, and controlled vocabulary enforcement.
Validation & Reconciliation
Row‑level checks, control totals, and post‑load reconciliation to prove completeness and accuracy.
CDC & Incremental Loads
Capture inserts/updates/deletes and run incremental batches; resume from checkpoints to avoid re-runs and shorten cutovers.
Reference & Code-Set Mapping
Map legacy codes to new master data (status, SKU, ICD/NAICS, custom enums) with lookup tables and AI suggestions.
Our 6-Step Migration Playbook
Designed to de-risk even the messiest legacy estates.
Discovery
Design
Pilot
Build
Cutover
Operate
Discovery & Scope
Source/target inventory, data profiling, risks, SLAs, and compliance constraints.
Design
Mapping catalog, transformation rules, DQ thresholds, cutover plan, rollback strategy.
Pilot
Small-batch dry runs; tune rules, confirm mappings, and benchmark throughput.
Build
IaC-ready pipelines (dbt/Airflow/Spark), connectors, and monitoring dashboards.
Cutover
Freeze window execution, checksum reconciliation, sign-off, and hypercare.
Operate
Post-migration optimizations, lineage, and runbooks for BAU.
Sources
- Legacy DB / CSV / Excel
- ERP / CRM / EMR
- S3 / GDrive / APIs
Pipelines
- Schema inference
- Transform & validate
- Human-in-the-loop
Digital products Compliance
- PII masking
- Audit trails
- Role-based access
Outcomes
- 0 data loss SLA*
- Faster cutovers
- Lower rework
What You Get
Clear business results—not just moved data.
Speed
50-80% faster mapping & transformation authoring via AI assistance.
Quality
DQ scorecards, audit trails, and repeatable pipelines reduce rework and incidents.
Continuity
Zero-surprise cutovers with rollback plans and hypercare support.
Frequently Asked Questions
Yes. We support blue‑green, phased by module/business unit, or hybrid on‑prem ↔ cloud with reconciliation at each checkpoint.
We implement masking, tokenization, and least‑privilege roles; all approvals are logged. We can deploy in your VPC for maximum control.
Perfect. Our DQ rules + ML anomaly detection + human review loops are designed for exactly that.
Yes—DQ scorecards, throughput, error queues, and cutover readiness all in one place for founders/managers.
