The personalized AI that reads your legacy COBOL applications and reveals their business logic
Unlike generic AIs, Bosqweb adapts its intelligence to your needs: COBOL, Fortran, PL/I and other critical languages. Result: automatic COBOL documentation, COBOL code analysis, reliable legacy COBOL modernization, and measurable time savings.
- ✅ Automated tests (unit, integration, regression) on COBOL applications
- 🔎 Compliance and functional fidelity validated > 99% after COBOL modernization
- 🧭 AI tailored to your core COBOL business rules
Our COBOL and legacy domains
COBOL
PriorityAutomatic COBOL documentation, COBOL code analysis, application mapping and traceable fidelity tests.
Fortran
NewScientific computing, energy, engineering — docs & AI interop for legacy code.
PL/I • Natural
Coming soonBanking/insurance — rationalization and legacy modernization roadmap.
Our promise
At Bosqweb, we apply modern AI techniques to turn your legacy COBOL applications into a strategic asset.
Result: fewer risks, higher productivity, and a clear bridge between legacy COBOL systems and modern architectures.
Discover our COBOL documentation & modernization solutions⚖️ Comparison of legacy COBOL modernization approaches
Many legacy COBOL modernization approaches exist, but none combine simplicity, speed, transparency, and automation as effectively as ours, especially for mid-sized organizations.
| Criterion | Traditional approaches | Bosqweb approach |
|---|---|---|
| Implementation | Months-long projects, multiple consulting phases. | Fast setup: audit and COBOL documentation in minutes. 72-hour sprint. |
| Cost | High, time-based, people-heavy. | Clear, scalable subscription (COBOL packs, express audit). |
| Accessibility | Mostly for very large enterprises. | Designed for banks, insurers, public sector, and mid-sized companies. |
| Usability | Expert-only interfaces. | Clear interface for decision-makers and business users. |
| Automation | Heavy manual intervention. | Advanced AI: COBOL mapping, testing, metrics, auto-documentation. |
| Dependencies (call graph) | Manual inventories, heavy graphs. | AI mini-call graph New “This module calls X, Y, Z” — text plus list of critical COBOL dependencies. |
| I/O Mapping | Partial, expert-dependent. | Simplified I/O mapping New Files/DB accessed plus operation type (READ, WRITE, UPDATE) for COBOL jobs. |
| Data lineage | Partial traceability, heavy tools. | AI data lineage New Lightweight COBOL data-flow summaries and diagrams for decisions. |
| Proof & monitoring | Hard-to-use technical reports. | Readable COBOL KPIs: functional fidelity, business equivalence, performance, compliance. |
Tip: these “light” COBOL outputs are designed for quick decision-making and modernization roadmaps. Graphviz/Mermaid exports for COBOL call graphs and data lineage are available on request.
Not a generic AI, 100% COBOL-specialized (documentation and analysis)
Built for mainframe constraints, compliance, and mission-critical operations: automated COBOL documentation, COBOL static analysis, and impact analysis before any modernization.
Industry expertise
Banking, insurance, public sector, with embedded constraints and business rules.
- Banking rules
- Basel and Solvency frameworks
- Mainframe patterns
Bank-grade security
Standard NDA, encryption, full traceability, retention purge at D+7.
- ISO 27001
- End-to-end encryption
- Audit trail
Proven results
IT and business-validated pilots, measurable ROI.
- -40% average MIPS costs
- 99%+ validated functional fidelity
- 48h full mapping
Your competitors are already modernizing. How long can you wait?
Free strategic audit (5 min)Résultats concrets sur nos pilotes
Tested models, monitored drift, more reliable outcomes for mission-critical systems
At Bosqweb, we do not “pick an AI at random”. We evaluate assistants on COBOL use cases and enterprise workloads, and we monitor generation drift to reduce production risk.
- Performance measured on code analysis (logic, coherence, accuracy).
- Drift monitored (hallucinations, inconsistencies), deltas tracked.
- Selection based on internal tests and rigorous benchmarks.
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