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Support AI Lab

Connaissances legacy prêtes pour l’entreprise, pour vos équipes IA

Emballer, étiqueter et transmettre des artefacts COBOL, RPG et mainframe pour une IA basée sur des preuves documentées.

Conçu pour les équipes exigeant gouvernance, auditabilité et traçabilité.

Demander l’accèsParler à l’équipe

Proof before rollout

What AI labs verify before operating at scale

Each engagement is prepared for ingestion-grade trust: training-data provenance, documented SME review, and policy-aware handoff rules.

Sans hypothèses opaques. Seulement de la preuve et de la traçabilité.

4

legacy tracks with provenance and SME accountability mappings

94%

source lineage fields preserved across data and specialist handoffs

48h

from sourcing assessment to dual-track training-ready handoff

0

audit findings from policy exceptions entering release

Offer matrix

Three support lanes for AI lab delivery

Combine governed data, AI specialists, and operating support so model teams can work with legacy-system knowledge without losing control.

Package 1

Specialist Support

COBOLpro provides legacy SMEs and runbooks; your lab retains model training decisions and deployment control.

Includes

  • •Legacy operations SMEs, compiler experts, and systems specialists from COBOL, AS/400, mainframe, and RPG estates
  • •Structured handoff runbook with role boundaries, escalation paths, and annotation responsibilities
  • •SME onboarding cadence for labeling workflows, reviewer lanes, and quality gates
  • •Annotation and policy alignment for legal, security, and model-governance controls

Output: Annotated SME roster + onboarding runbook + policy alignment memo

Package 2

Training Data Support

Data packages are delivered with immutable manifests, lineage graphs, and readiness checks for model training and RL environments.

Includes

  • •Legacy artifacts and labeled bundles from COBOL, AS/400, mainframe, and RPG sources
  • •RL-ready and simulator-ready formats with schema-aligned examples
  • •Provenance lineage, extraction logs, and reproducibility metadata per bundle
  • •License-safe descriptors and reuse rules for model-training reuse

Output: JSONL + Parquet + manifest + policy map

Package 3

AI Operations Support

COBOLpro supports the operating layer around legacy-system knowledge; your lab controls model training, evaluation, and deployment decisions.

Includes

  • •Workflow design for intake, labeling, reviewer lanes, QA, escalation, and delivery checkpoints
  • •Specialist review loops for ambiguous legacy-system behavior and source-backed interpretation
  • •Operational evidence for governance, safety, policy, and procurement review
  • •Controlled handoff into model-training, evaluation, RAG, or simulation workflows

Output: Operating runbook + QA checklist + escalation path + handoff evidence

4-step workflow

From source assessment to governed AI-lab handoff

Assess the source domain, design support lanes, validate evidence, and hand off governed data and specialist support into approved AI workflows.

Step 01

Source assessment

Assess legacy estates, ownership, and policy constraints to identify data, specialist, and operating-support requirements.

Step 02

Track design and readiness

Define train/rl readiness criteria, handoff boundaries, and governance checkpoints for each selected track.

Step 03

Dual-track onboarding

Operationalize SME onboarding and dataset preparation in parallel, then validate annotations, quality gates, and policy controls together.

Step 04

Model and RL handoff

Deliver dual-track packages with reproducibility trails, governance evidence, and model- or RL-ready acceptance checkpoints.

Compliance and controls

Auditability for AI lab support workflows

COBOLpro is built for AI labs and model teams requiring evidence, policy enforcement, and reproducible handoff before training or evaluation.

Control layer

  • •Identifiants de provenance stables de la source au lot exporté
  • •Contraintes de licence et de réutilisation intégrées aux métadonnées
  • •Masquage selon politiques de gouvernance avant export
  • •Journal d’audit avec version, réviseur et statut d’approbation

Final controls

Designed for AI labs and model teams that require auditable compliance across annotation, training, and RL operations.

Request AI lab intake

Ready to scope AI lab support for legacy-system knowledge?

Book a scoped intake to validate data provenance, specialist support, governance, and reproducibility before procurement.

Talk to the teamRequest AI lab intake
AI Lab Support | COBOLpro