How we open the dark box.
Four phases, from black box to a documented system you can modernize. Your data stays under your control throughout.
The full process, step by step.
We show every step and leave no question unanswered.
Environment & Scope Readiness
“Enterprise security, clean scope boundaries, zero data retention.”
Before analysis begins, we establish a secure environment via official Enterprise APIs where your code is never trained on or retained. All embedded secrets, API keys, and credentials are automatically masked and quarantined.
- Official Enterprise API environment with strict data privacy and zero model training
- Local ingestion of source code, DDL schemas, and existing documentation
- Automatic masking and quarantine of embedded secrets and keys (REDACTED)
- Auditable preflight check, readily verifiable by your IT/Security team
A validated analysis environment with preflight approval and clean scope boundaries.
Deep Code Discovery & Rule Extraction
“Mapping architecture, dependencies, and mining hidden business logic.”
Our senior engineers configure targeted discovery agents to work through your codebase. The agents map dependencies, flag dead code, and extract the calculations, validations, and state transitions. Each one becomes a verified Rule Card with an exact file:line citation.
- Dependency & topology map: modules, background jobs, and database lineage
- Dead code & tech debt audit: what actually executes vs. dormant modules
- Business rule extraction: Given/When/Then rule cards with file:line anchors
- Quantified complexity inventory for modular strangler-fig planning
A comprehensive technical inventory and code-anchored business rule database.
Expert Validation & Decision Tagging
“Resolving edge cases and clarifying functional intent with your SMEs.”
Automated analysis shows what the code does. Your domain experts provide business intent. In focused sessions (2–3 hours a week), we clarify discrepancies together and mark each module as an identical rewrite, a redesign, or a drop.
- Structured interviews with SMEs to clarify edge cases and business ambiguities
- 'Bug or Feature?': deciding on undocumented edge cases uncovered in code
- Decision tagging: reimplement-identical, redesign, or drop per domain unit
- Parallel real-data test preparation to lock down expected runtime behavior
A verified decision matrix and behavioral baseline for target services.
The Seed Specification & Roadmap
“From a black-box legacy system to an actionable, contract-first modernization plan.”
All discoveries, business rules, and interface contracts merge into The Seed, an interactive specification and roadmap that turns modernization from a high-risk gamble into a predictable engineering sprint.
- Business Rule Catalog: plain-language domain rules with source line citations
- Contract-First interfaces: strict gRPC .proto, OpenAPI, and TypeScript schemas
- Interactive topology visualization that leadership can explore, instead of dry text files
- Measured agentic rebuild velocity and fixed-price phase 2 modernization proposal
The Seed: complete technical specification, contracts, and fixed-cost rebuild roadmap.
What we need. What you get.
No surprises — we define exactly what's yours and what's ours.
→What we need from you
Source code (read-only)
Git repo or archive — no write access needed
DB schemas and migration history
Current and historical schema versions if available
Internal documentation
Jira, Confluence, wikis, email archives — whatever exists
Domain expert (SME) availability
Typically 2–3 hours per week in structured sessions
IT/Security sign-off for environment setup
One-time setup; no ongoing IT involvement required after
✓What you get
Interactive architecture + dependency map
Clickable, exportable — not just a static diagram
Business Rule Catalog
Every rule traceable back to the original code line
API Blueprint
How this looks rebuilt as a modern service — ready design base
Parallel test baseline & Behavioral specification
Verification against historical production data — the rewrite's behavioral safety net
Technical debt assessment with priority matrix
Where to focus first — backed by numbers, not gut feel
Prioritised modernisation roadmap
Concrete, sequenced steps — not abstract recommendations
Who does what.
We keep the load on your team light. We bring the tools, the methodology, and the work.
| Role | Attrecto | Client |
|---|---|---|
| Solution Architect | Leads | Reviews decisions |
| AI / Prompt Engineer | Leads | — |
| Security Engineer | Configures environment | Signs off on configuration |
| SME (domain expert) | Facilitates sessions | Participates (2–3 h/wk) |
| IT Manager | Technical support | Coordinates access |
| Project Sponsor | — | Decision-maker |
Solution Architect
AI / Prompt Engineer
Security Engineer
SME (domain expert)
IT Manager
Project Sponsor
No compromises on your data security.
Every configuration is auditable, every decision documented.
Zero Data Retention
AI models run in inference-only mode. No client data is used for model training, and nothing is stored on Legaseeder infrastructure.
Full Traceability
Every entry in the Business Rule Catalog is traceable to the source code line it came from. Nothing enters the catalog without a trail.
Official Enterprise Environment
All analysis executes via official Enterprise APIs where code is never stored or used for model training. Credentials and embedded secrets are automatically quarantined (REDACTED).