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MAiGRATE
Productized Migration
for Regulated Industries
How we use CLAIRE to solve a $1–3M customer problem in weeks instead of months.
CGLabs Leadership Pitch · 2026
The Problem
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Every regulated enterprise has a migration problem they cannot solve safely today.

Typical timeline 12–18 months
Typical cost $1–3M per migration
Failure rate ~60% miss original timeline
Auditor acceptance Often rejected — manual transformations are not defensibly traceable
Security stance Non-negotiable: data cannot leave their network, cannot use public AI, cannot ship schemas to a SaaS vendor
The Problem
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Every existing option fails them.

Big consultancies

Accenture, Deloitte, IBM. Slow, expensive, every project rebuilt from scratch — knowledge walks out the door at the end.

Generic ETL tools

Informatica, Talend. Don't understand GxP, no audit defensibility, no domain knowledge of quality systems.

Veeva services

Veeva-only, capacity-constrained, expensive. Doesn't help non-Veeva targets.

DIY scripts

Fast but unauditable. Regulators reject them. Tribal knowledge that doesn't survive turnover.

No vendor in this market today ships a productized migration appliance that runs inside the customer's environment, uses AI safely, and produces audit-grade evidence. That gap is what MAiGRATE fills.
The Scenario
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Three illustrative customer scenarios — different sources, different targets, different cutover strategies.

Customer A
Top-20 pharma
Source
TrackWise CQ
Target
Veeva Vault QMS
Records
160,000 CAPAs, deviations, complaints
Hard part
Inconsistent narrative quality across 8 years; auditor demands traceability
Cutover
Phased migration over 6 weeks
AI environment
Their Azure OpenAI tenant
Customer B
Mid-size biotech
Source
MasterControl Documents
Target
Veeva QualityDocs
Records
12,000 SOPs + version history + signature records + training assignments
Hard part
Bit-for-bit preservation of document version chains and signatures
Cutover
Big-bang cutover; archive source
AI environment
Their AWS Bedrock
Customer C
Specialty manufacturer
Source
TrackWise CQ
Target
ServiceNow GRC
Records
25,000 quality events
Hard part
Source and target use different object models; business must keep running during cutover
Cutover
90-day parallel run, then cutover
AI environment
Self-hosted (no cloud AI)
The Scenario
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Three different sources. Three different targets. Three different volumes. Three different cutover strategies. Three different AI environments.
Looks like three projects.
It is actually one product, configured three ways.
Our Solution
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MAiGRATE is a productized migration appliance, built on our existing CLAIRE platform, ready to deploy today.

MAiGRATE installs in the customer's own data center as a Docker appliance. It connects to their legacy quality system on one side and their target system on the other. It uses AI — running on the customer's own AI infrastructure, not ours — to map fields, clean narratives, and resolve terminology. Every transformation is logged in an audit-grade evidence pack that satisfies regulator scrutiny. The customer's data never leaves their network.

Our Solution
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What MAiGRATE gives the buyer.

Speed

Migrations in weeks instead of months. We ship a product, not a project.

Audit defensibility

Per-record evidence packs that hold up to regulator scrutiny.

Vendor neutrality

Works with multiple sources and multiple targets — Veeva, ServiceNow, SAP, more.

Security by design

Runs entirely in the customer's network. Their AI tenant. Their identity provider. Their infrastructure. No data ever leaves the building.

Our Solution
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We are not asking to build something.
CLAIRE is already in production. MAiGRATE is how we package and deliver CLAIRE to solve a specific, urgent customer problem — starting now.
How It Works
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Every customer engagement follows the same shape.
The differences are configuration, not code.

01
Install
→
02
Configure
→
03
Dry-run
→
04
Migrate
→
05
Hand off
Same install pattern. Same delivery shape. Same SE playbook. The next three slides walk through what this looks like for each of our three live customers.
How It Works
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Week 1 MAiGRATE installed in their on-premise data center. Identity provider wired up. Source and target credentials placed in their secrets vault.
Week 2 Solution engineer configures Customer A: field mappings drafted in a workshop with their QA team.
Week 3 Dry-run on a 500-record sample. Their subject-matter experts review every AI mapping decision. Rules tightened.
Weeks 4–6 Phased migration in 10K-record batches. Each batch produces an evidence pack. Auditors sign off batch by batch.
How It Works
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Weeks 1–2 Same install pattern. MasterControl integration configured.
Week 3 Customer B's configuration loaded — version-chain mapping rules and signature-record handling.
Weeks 4–5 Dry-run, mapping refinement, full migration, evidence pack delivery, sign-off.
How It Works
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Week 1 Same install. TrackWise integration reused exactly as configured for Customer A.
Week 2 ServiceNow GRC integration configured.
Week 3 Customer C's configuration loaded — different target object model, parallel-run mode enabled.
Weeks 4–6 Parallel run begins: every TrackWise change syncs to ServiceNow within 90 seconds. Runs 90 days, then cutover.
Infrastructure
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MAiGRATE runs entirely inside the customer's environment.
The infrastructure footprint is small.

Legacy
System
→
MAiGRATE VM
(Docker)
→
Target
System
↓
Customer's AI endpoint
1 VM. Docker-based. Network access to source, target, AI, and identity. That's it.
Resource Min Recommended
vCPU 8 16
RAM 32 GB 64 GB
Disk 200 GB SSD 500 GB – 1 TB SSD
OS Linux (Docker host) — RHEL / Ubuntu LTS
Infrastructure Cost
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Estimated infrastructure cost in the customer environment.

Customer VMware / on-premise They already have the host capacity ~$0 marginal
Customer Azure / AWS Equivalent of one mid-size VM + ~500 GB SSD $300 – $700 / mo
Migration window only (3 months) Scale down or decommission after cutover $900 – $2,100 total
Customer side Under $1K / month for the duration of the migration.
Our side Zero. MAiGRATE runs in the customer's environment, not ours.
In Summary
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Every regulated enterprise has a painful, expensive migration problem they cannot solve safely today.
We already have a production platform — CLAIRE — that solves it, packaged and delivered as MAiGRATE.
Across three illustrative migration scenarios, the product is ready and the infrastructure footprint is small enough to ignore.
Next Step Validate this approach against real customer migration requirements as they come in.