One specification, verified before anything is generated.
EltegraAI reads what your systems actually do and reconstructs it as a specification your team reads, corrects and approves. Requirements, architecture, code and tests are generated from that specification and checked back against it before a person signs off and anything ships.
Nine stages, and nothing is generated until the specification is approved.
Understand, Transform and Evolve, stage by stage. Every engagement runs the same sequence, whichever of the three intents it starts from.
What should be built, and why.
Knowledge
Source code, documentation, tickets and SME interviews are read and linked into the patent-pending Enterprise Knowledge Graph: every rule, exception, edge case and dependency. The system tells us what it does, not what it was supposed to do.
Specification
The graph is reconstructed as a specification your team can read and correct. Once approved, it is locked as the baseline every later stage is checked against.
Baseline lockedRequirements
Requirements are derived from the specification, each linked to the rule it came from, and ready for your backlog.
Build it, test it, validate it.
Architecture
The target architecture is designed against the dependencies the graph has already exposed, so hidden coupling is found at design time instead of in rework.
Code
Code is generated in your target stack from the specification by the coding agents your team already uses, working from the graph over MCP.
Tests
Test cases are generated from the requirements, each traced to the requirement that produced it.
Prove it behaves, then ship it.
Automated validation
The output is checked back against the locked specification. Where behaviour differs, the difference is reported against the rule it breaks, not smoothed over.
Human approval
Your engineers and business owners sign off before anything deploys. The approval becomes part of the evidence trail.
Sign-off recordedDeploy
Released into your environment with documentation, traceability and compliance evidence attached.
Evolve. Every artifact traces back to the specification, and the knowledge graph updates as the system changes. The next change starts from current ground truth rather than from a fresh discovery exercise.
Modernize what you have. Change it when the rules do. Build what you don’t.
Each intent changes what goes in at the first stage. The verification after it stays the same.
Modernize
We need to move a twenty-year-old .NET Framework application to .NET 10.Legacy modernization
- Arrives as
- A legacy estate: source code, whatever documentation survives, and the people who still know it.
- The platform
- Reconstructs the system’s knowledge, designs the target architecture, then rebuilds and validates against the original.
- You get
- A modernized application, its specification, and the evidence that it behaves like the system it replaced.
Change
We need to support California’s new tax rules.
- Arrives as
- A business request, a regulation or a ticket, written in plain language.
- The platform
- Identifies every affected application and business rule, traces dependencies and assesses enterprise-wide impact before any code moves.
- You get
- An impact report, an updated specification for approval, and the change with regression tests validated against it.
- Arrives as
- An idea or a product brief.
- The platform
- Locates the relevant knowledge, data, systems and policies, then builds against verified ground truth rather than assumptions about what the business does.
- You get
- New applications and AI agents, with requirements and tests traced to the rules they must respect.
Your coding agents work from the knowledge graph, not from guesses about your code.
EltegraAI serves its knowledge graph and verified specifications through an MCP server. Claude, Cursor and GitHub Copilot connect to it the way they connect to any MCP tool, so your engineers keep the agents they use and every answer they get traces to a rule in the specification.
Your systems
Source repositoriesDocumentationTicketsSME interviewsWhat an agent can ask it
- Which business rules govern this field, and where are they implemented?
- What depends on this procedure, and what breaks if it changes?
- Does this change contradict anything in the approved specification?
Your engineers connect the agents they already run to the MCP server. The knowledge graph becomes shared context for every team working on the system, and it stays current as the system changes.
Use EltegraAI in a client program as the discovery and specification layer, then deliver with your own frameworks and tooling. The approved specification gives both sides a contract to check delivery against.
Embed verified legacy knowledge in your own product through the same MCP interface. Embedded use is licensed directly with our team, so talk to us before you build.
EltegraAI’s Azure-hosted environment, the default.
The full platform inside your perimeter.
No outbound path. Your agents connect inside the same network.
Every value traces back to the rule that produced it.
On the left, a benefits terminal that has been in production since the 1980s. On the right, the interface EltegraAI generated from it — not redrawn, reconstructed. This is the Modernize intent at the Development layer; the same trace exists at every layer above it.
Legacy · CICS session BEN015
BEN015 EMPLOYEE BENEFIT INQUIRY CICS / PROD--------------------------------------------------EMP ID . . . . : 104782NAME . . . . . : SMITH, MARGARET A.EARN NUMBER . : ACCT0204 STATUS: VERIFIEDPROV BN . . . : PRV-482 MATCH: EXACTBENEFIT CYCLE : 04/2024SPECIAL CODE : --- OVERRIDE: NONE--------------------------------------------------BENEFIT ACCRUAL BY AREAAREA 1 (MEDICAL) MED-A 12.00 486.00AREA 2 (DENTAL) DEN-B 4.50 162.75AREA 3 (VISION) VIS-A 2.00 58.40--------------------------------------------------ACCRUED TOTAL . . 707.15ELIGIBILITY . . . PASSEDCPS BYPASS . . . . NOPAYABLE BENEFIT . 707.15--------------------------------------------------PF1=HELP PF3=EXIT PF7=PREV PF8=NEXTModern · generated by EltegraAI
Employee 104782 · Plan PRV-482 · April 2024
Ask the system what it does.
Right now the answer to “why does this behave like that” lives in two engineers, and one of them retires next year. Once the knowledge graph exists — the patent-pending Enterprise Knowledge Graph at the centre of the platform — anyone on the team asks in plain language — and every answer cites the rule and the file it came from.
Which policies skip the standard renewal recalculation?
Three groups. Policies with a broker-negotiated rate lock skip recalculation until the lock expires. Group schemes with more than 250 members recalculate annually rather than at renewal. And any policy with an open claim older than 60 days is held for manual review — a rule added after a 2017 regulatory finding, with no automatic release.
Every answer cites its source. Nothing is inferred from variable names.
Any intent source. Most legacy stacks.
Not all legacy is COBOL, and not all intent arrives as code.
Read and reconstructed
Frozen intent, generated into
C# / .NET and Angular appear on both sides on purpose: a ten-year-old Angular front end is legacy too. Stack not listed? Ask. We have added languages on customer request before.
18.5 months to 3.5, on an 18-year-old payroll system.
| Phase | AI only | With EltegraAI |
|---|---|---|
| Discovery, dependencies, docs, requirements, test cases & Jira | 6 mo | 1 wk |
| Developer onboarding & context transfer | 1 mo | 1 wk |
| Architecture-aware prompting & kickoff | 1 mo | 1 wk |
| Flow-by-flow implementation | 5 mo | 1.5 mo |
| AC-driven self-checking & code correction | 1.5 mo | 1 wk |
| Rework from hidden dependencies | 1.5 mo | 1 wk |
| Integration validation & end-to-end testing | 1 mo | 2 wk |
| QA, UAT & business signoff | 1 mo | 2 wk |
| Program coordination & handoff overhead | 1 mo | 1 wk |
| Total, full migration | 18.5 months | ~3.5 months |
5× faster · ~15 calendar months saved on 2.5M LOC · full docs, traceability and compliance included.
Our analysis requires access to source code: if all you have is compiled binaries, we cannot build the knowledge graph. And the SME interviews depend on people who still hold the knowledge — the sooner you start, the more of it there is to capture. If you are not sure what you have, the first conversation will tell you.
See the pipeline run on a system like yours.
Bring the system your team is reluctant to change. In thirty minutes our engineers walk through what each stage of the pipeline would produce from a system like it, and what a first phase would cover. No code is needed to start, and we sign an NDA before anything technical is shared.