Agentic AI For Enterprise · SDLC Platform
The autonomous AI teammate for your entire software lifecycle
Most teams juggle a different tool for each stage. Sanciti AI puts requirements, code, testing, security and legacy modernization in one governed platform. Every phase of the SDLC then runs under the same rules.
It is a generative AI framework built for enterprise teams that need SDLC automation they can govern, from the first requirement to the last release, legacy modernization included.
Sanciti AI, a V2Soft company, is now a Certified Claude Partner Network member
LLM-agnostic · Secure by design · Four security checks on every output · OWASP & NIST aligned · Audit-grade traceability · Human approval built in · Best-fit model per task
Faster modernization cycles
Lower enterprise QA costs
30-50%
Faster deployments
Automated test coverage
Fewer production defects Self-healing test automation
One platform, five agents that work as a team
They cover requirements, code, testing and deployment. Every handoff is governed and traceable.
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RGEN
Reads your legacy code and artifacts, then pulls out requirements, use cases and test cases, each one traceable.
CodeGen
Generates 80–90% complete, secure, story-aligned code, including backend, frontend, APIs, and deployment scripts.
TestAI
Automated, fast, high-quality testing with autonomous execution, self-healing tests, and 90%+ coverage.
Deploy
Packages validated builds into production-ready bundles with compliance gates, rollback, and audit evidence.
PSAM
Handles live operations after go-live: triage, diagnosis, and runbook generation, with knowledge captured on every incident.
Orchestration overview
Every agent, and how they connect
The five agents run as one pipeline. The orchestration layer passes work from one to the next, checks the rules at every gate, and keeps a single record of the run.
- Governed handoffs, with a person approving at the gates
- The best-fit model selected for each task
- One audit trail for the whole run
ORCHESTRATION LAYER
Coordinates handoffs, enforces governance, keeps the recordRGEN
Requirements, use cases and test casesCodeGen
Secure, story-aligned codeTestAI
Autonomous testing and coverageDeploy
Release bundles with compliance gatesPSAM
Live operations after go-liveLEGMOD
Modernize legacy systems without the guesswork
LEGMOD takes your legacy business and technology systems to modern, secure, scalable architectures, faster and with less risk. It plans each modernization wave, then hands the work to RGEN, CodeGen and TestAI. People and governance checks stay involved the whole way.
- Reduced modernization risk with risk-managed waves
- Faster time to value and lower total cost of ownership
- Business rules carried forward intact
- Scalable modernization across entire application portfolios
Modernization projects usually stall because nobody has the full picture. There are dependencies nobody wrote down, business rules buried in old code, and a lot of guesswork. LEGMOD maps all of that first, so leaders can see what they’re modernizing before they commit.
Portfolio Intelligence
Application mining, dependency & impact analysisWave Planning
Cost-benefit & business case optimizationRe-Engineering
Target architecture design & secure code generationMigration & Testing
Build it, validate it, then retire the old system and archive its dataAI governance
Guardrails at every step
Sensitive data gets redacted before it leaves. The code goes through four checks, and a person signs off before anything ships.
SAST
Static code analysis
SCA
Dependency risk checks
LLM scan
AI-specific vulnerability checks
Human gate
Final approval before merge
Why Sanciti AI
A generative AI framework with AI-driven intelligence across every phase
Less Manual Work
It takes on the documentation, test cases, code and performance scripts. Teams cut 40–50% of their manual dev effort.
Security First
Security is part of the build from day one. It follows OWASP and NIST and runs in a single-tenant VPC. Anything the AI writes gets four checks before it moves on: SAST, SCA, an LLM scan, then a person.
Trained on Your Standards
It picks up how your team builds: your codebase, your architecture patterns, how you name things, how you write docs. The longer you use it, the better it fits, and the more it pays back.
Fits Your Stack
It works with the tools you already have: GitHub, Jira, SharePoint, Confluence, Eclipse, IntelliJ, VS Code and your CI/CD pipelines. Nobody has to change how they work.
People in Control
The AI drafts, and a person signs off. You can put any change side by side with the original, and follow it back to the requirement that started it.
The Right Model for Every Task
For each task, the platform picks the model that fits best and sets how heavy the prompt needs to be. Your teams get steady results and never have to think about it.
Open it in a browser, work in your IDE, or run it on your desktop
It’s the same AI in all three places, with the same security, governance and context behind it.
Web Interface
Any browser, zero installation
- Real-time answers grounded in your codebase
- Persistent multi-turn context with full history
- PII/PHI redaction, audit trails & oversight gates
- Usage and token reports for admins
You: Generate a Spring Boot REST API for our orders service with OAuth2.
AI: Scaffolding orders-service · 6 endpoints · OWASP/NIST scored · 92% test coverage. Ready for review.
IDE Plugins
Agentic AI inside your editor
- In-IDE chat for code, patterns & architecture
- SAST, SCA & LLM-level scans before review
- IntelliJ, VS Code, Eclipse & PyCharm
- Each edit arrives as a card to approve, reject or compare
You: Add idempotency keys and refactor the legacy payment client.
AI: Modernized to Java 21. Added Idempotency-Key headers + retry policy. Diff ready.
Desktop App
Generate REST APIs from plain-language prompts
- One-click Java 8/11 → 21 modernization
- Auto-generate & run unit tests with coverage targets
- Design pattern suggestions & refactor opportunities
You: Migrate this .NET Framework controller to .NET Core with unit tests.
AI: Migrated to .NET 8. 14 endpoints refactored. 96% test coverage generated. Review ready.
Trusted across industries
Enterprise teams in regulated, scale-conscious industries rely on the platform
Built by V2Soft, 28 years of enterprise delivery · 17 global locations · 6 countries
Proven outcomes
Selected results from enterprise deployments
Automotive OEM
SDLC automation took over the manual diagnostic planning, and teams across the program could see the same progress.
Healthcare Payer
Worked from the existing code of a monolithic Java platform and rebuilt it as microservices.
Financial Services
Automated the testing, added performance scripts, and got test coverage to 98%+.
Enterprise-grade compliance and certifications
Certifications we hold, and standards we follow
Deployments are single-tenant and run in a private VPC on AWS or Azure. PII and PHI are protected, every change leaves an audit trail, and a person approves it at the gates.
FAQs
What is Sanciti AI ?
Sanciti AI is an agentic AI coding platform from V2Soft. Enterprise dev teams kept ending up with a pile of disconnected tools for requirements, coding, testing and releases, so we built one place for all of it: five agents (RGEN, CodeGen, TestAI, Deploy and PSAM) with LEGMOD directing them. They share context and pass work to each other, and you can trace everything from the first requirement to the release.
What is an agentic AI coding platform?
Most AI coding tools autocomplete the line you’re typing, and that’s about all they do. With an agentic platform the AI takes on whole pieces of work. It plans the task, carries it out, checks the result and then moves on to the next step, without waiting for you to prompt it each time. RGEN goes through your codebase and works out the requirements. CodeGen picks those up and writes the code, TestAI builds the tests, and LEGMOD keeps the order straight so nothing falls through the cracks.
How does Sanciti AI reduce software development effort?
Documentation, requirement gathering, writing test cases and boilerplate code take up half a developer’s week. Sanciti AI handles all of that. We see teams cut 40 to 50% of their manual work. CodeGen alone gets 80 to 90% of the code done from requirements. TestAI writes tests that actually update themselves when the codebase changes. So your developers finally get to focus on the interesting problems.
What is LEGMOD and how does it work?
LEGMOD is the orchestrator. It tells the agents what to do and when. For legacy modernization it works in four stages. It starts by scanning everything you have and mapping the dependencies, including the ones nobody documented. Once it knows what’s there, it works out what to modernize first, going by cost and business value. Then it designs the target architecture and generates the code. The last stage is the migration itself: it runs validation tests and archives the old data.
Why do legacy modernization projects fail?
It usually goes like this. A company decides to modernize and jumps into the migration before anyone really understands what the old system does. Somewhere along the way they run into a dependency nobody knew about, or a business rule that was hardcoded 15 years ago gets lost. Timelines slip and the budget grows, and the project stalls or gets scrapped. LEGMOD tries to head that off by scanning the whole portfolio before anything moves, so you can see the dependencies, the data flows and the buried business rules first. Then you plan.
What AI agents does Sanciti AI include?
Five agents, and each has its own job. RGEN reads through your legacy code and pulls out requirements and test cases. CodeGen takes those and writes production-ready code, usually 80 to 90% complete. TestAI handles testing, with 90%+ coverage. Its tests fix themselves when your code changes, which saves a lot of broken-suite headaches. Deploy takes care of releases and compliance gates. PSAM watches production and opens a Jira ticket as soon as something goes wrong. And LEGMOD runs the whole show.
Does Sanciti AI integrate with existing development tools?
Yes, and we planned it that way. It works with what you already run: GitHub, Jira, SharePoint, Confluence, Jenkins and Azure DevOps. If you spend your day in an editor, the plugins for VS Code, IntelliJ, Eclipse and PyCharm put chat and security scans right there. You can also skip the install and just open a browser. There’s a desktop app too. Your tools stay where they are.
Is Sanciti AI secure enough for regulated industries?
Yes. It was built for regulated industries from the start. We hold ISO 27001:2022, CMMI Level 3, TISAX and HIPAA, and we follow OWASP, NIST and GDPR. Your code stays in a private VPC on AWS or Azure and doesn’t leave your environment. Anything the agents generate gets a security score as soon as it exists, and PII and PHI are protected throughout. Teams in healthcare, finance, insurance and government use it today.
How does the platform govern what the AI does?
Rules apply at every step. PII and PHI get redacted before anything reaches a model. The code the agents write goes through SAST, SCA and an LLM scan, and a person approves it before it’s merged. The agents have limits too: commands are denied by default and repositories are scoped. Releases go out with rollback plans and an audit trail, and you can trace every requirement back to where it came from.
How does Sanciti AI keep people in control?
The AI proposes, and a person decides. Nothing it produces counts as final until someone approves it. In your editor, every edit shows up as a card: approve it, reject it, or look at it side by side first. If you approve something by mistake, normal undo still works.
Can we see what the AI changed?
Yes. When the AI proposes an edit, you can open it side by side with what was there before. Code, documents and tests all keep their older versions, so you can compare any two of them. There’s also a traceability matrix that links each requirement to the stories and deliverables built from it, which means you can follow any item back to its source.
Do we need to manage the AI models?
No. The platform decides which model suits each task and how heavy the prompt needs to be, so your teams don’t have to think about either one. Admins can still see how much is being used, across the whole organization and person by person. If you’d like to see how the selection would work in your setup, just talk to us.
How does Sanciti AI learn your codebase and standards?
When you set it up, it studies your actual code. Your naming conventions, your architecture patterns, the way your team writes documentation. From day one the output matches your standards. And it keeps getting better. The more your team uses it, the more it picks up about how you work. A few weeks in, the suggestions start feeling like they came from someone who’s been on the team for a while.
How is Sanciti AI different from AI coding assistants?
A coding assistant suggests the next line as you type. That’s helpful, but it only covers one piece of the puzzle. It handles the whole thing. Requirements, coding, testing, deployment, production support. Five agents work together. Plus the platform picks the best-fit AI model for each task. And everything gets an audit trail. For teams in regulated industries who need governance across the entire development process, that’s a big deal.
What industries use Sanciti AI?
Healthcare, financial services, insurance, automotive, manufacturing, energy, government and retail. V2Soft has built enterprise software for 28 years, with 17 offices in 6 countries, and that history is behind how this platform works. If you’ve got a large legacy codebase or strict compliance rules to meet, this is the work we do.
How fast can Sanciti AI improve deployment speed?
Deployments typically speed up 30 to 50%. QA costs drop by up to half because TestAI writes and maintains the tests for you. Coverage gets above 98%. Modernization projects wrap up 40% faster. And production defects go down about 20% because bugs get caught earlier, before they reach release. These numbers come from enterprise teams already using the platform.
Request a Demo
See how agentic AI for enterprise changes your software delivery
It’s one framework for code generation, testing, documentation and legacy modernization, with governance running through all of it. Enterprise teams that use it cut development effort by 40% and get to market 25% faster.
