--- title: "Core & Legacy Modernization - S-PRO" url: https://s-pro.io/core-legacy-modernization lang: en description: "S-PRO Core & Legacy Modernization: AI-assisted documentation analysis, health monitoring, release testing and fix workflow for legacy systems." updated: 2026-07-29T13:11:53+00:00 source: S-PRO (https://s-pro.io) --- Optimize operations / Legacy Optimization # Maintain legacy systems with AI-backed release confidence S-PRO turns legacy maintenance into a governed modernization workflow: documentation analysis, continuous health monitoring, release testing and AI-assisted fix workflows that help teams ship safely without endless manual regression. [Discuss legacy modernization](https://s-pro.io/get-in-touch) [Back to offering](https://s-pro.io/) **4**Core capabilities across the testing workflow **A-E**Health ratings for maintainability, reliability and security **1 FTE**Target operating model after pilot handover Legacy optimization / health dashboard plant-operations-consoleLast scan 09:42 **B**Maintainability **A**Reliability **D**Security 312Issues detected4 blockers · 23 critical · 87 filesPrioritize 38%Test coverage12% gap to target across modulesGap 47VulnerabilitiesDependency and code health blockersRisk Product screens ## A visual operating layer for legacy maintenance The product page converts the ABB collaboration deck into screens buyers can understand: system onboarding, health dashboard, release testing and AI fix workflow. documentation analysis System decompositionFit-gap 78%Asset ManagementMetadata, lifecycle states, namingPass 62%Alarm & Event Management5 subcomponents expandedGap 25%Audit loggingRetention and immutability driftDrift **Documentation analysis**Parse specs, Confluence, source code and manual tests into modules, journeys and coverage gaps. health monitoring Code healthMain branch **487k**Lines of code **23**Modules **1,247**Code smells #### Technical debt #### Languages **Health monitoring**Maintainability, reliability, security, coverage and drift in one executive-grade view. release testing Release pipelineCI/CD **Static analysis**Security and dependency scan completed in CI **E2E regression**Agent found critical alarm escalation failure **Doc drift**Notification engine spec is 6 months out of sync **Rollout gate**Production rollout blocked until fix validates **Release testing**Every release branch runs regression, performance, compatibility, security and spec validation. AI fix workflow Blocker AC-011Human approved gates 01 ### Plan Identify failure source and repair approach. 02 ### Branch Create branch and link tickets. 03 ### Implement Modify files and update tests. 04 ### Validate Run E2E, static analysis and security. 05 ### PR Open pull request for review. **AI workflow orchestration**The agent drafts plan, code and validation; humans approve at every gate. Core capabilities ## Four capabilities cover the current testing workflow Manual testing often burns the most time and budget every release. Legacy modernization turns repetitive regression, code health, security and fix workflow into an automated operating system. ### Documentation analysis Upload specs, Confluence pages, source code, tests and Jira tickets. The system builds a structured map of modules, components and journeys. ### Health monitoring Scan every commit for code quality, coverage, vulnerabilities and drift, then roll signals into ratings and issue counts. ### Release testing Run full E2E, regression, performance, compatibility, static analysis and spec validation on every release branch. ### AI fix workflow For blockers, the agent drafts plan, branch, implementation, validation and pull request while humans approve each gate. Enterprise deployment ## Keep data inside the client's perimeter The ABB deck emphasized a deployment where AI runs through the client's AWS account. This product page keeps that as an install option for regulated enterprise environments. **Developer workstation**Engineer works inside the client office network or VPN with controlled access to repositories and tooling. **Claude Code via Bedrock**Configured through AWS IAM with no Anthropic API keys and no direct public Anthropic calls. **VPC PrivateLink**Interface endpoint inside the client's VPC keeps inference traffic on the AWS backbone. **KMS and CloudTrail**KMS encryption at rest, TLS in transit and every API call logged for audit review. **Compliance posture**AWS Bedrock compliance baseline plus S-PRO ISO 27001 and ISO 27701 delivery governance. Pilot roadmap ## From anchor system to maintainable operating model The product can start with one anchor system, run a controlled pilot and hand over runbooks so the client can operate it with a lean team. W1 ### Anchor system Scope workshop, identify anchor system and agree success criteria. W2 ### Set up Provision VPC, IAM, AI testing layer, Bedrock and PrivateLink. W3 ### Onboard Upload specs, code and tests; build platform breakdown and automate manual tests. W4+ ### Run and handover Run health monitoring, release testing, fix workflow and weekly reviews, then train the team. Buyer pack ## What the client needs before installing it Legacy optimization only sells when the buyer can see operational impact, security boundaries, onboarding effort and measurable outcomes. ### Inputs required - Anchor system repository and dependency inventory - Manual regression scripts, test cases and business sign-off flow - Functional specs, Confluence pages, ADRs and Jira history - CI/CD access, staging environment and release branch pattern ### Outputs delivered - Module decomposition and fit-gap coverage map - Health dashboard with blockers, vulnerabilities and debt - Automated release-testing suite and blocker workflow - Runbooks, handover training and grace-period support Expected pilot outcome from the deck: the system can be maintained by one FTE once runbooks, monitoring and workflows are handed over. Commercial outcomes ## Why legacy teams buy modernization **Less manual testing**Reduce repetitive click-through regression work every release. **Safer releases**Catch blockers, coverage gaps and spec drift before production rollout. **Lower debt**Prioritize vulnerabilities, complexity and outdated dependencies by module. **Lean ops**Move toward a maintained-by-1-FTE operating model after the pilot. ## Turn legacy maintenance into a governed product. Start with one anchor system, prove the modernization workflow, then expand to the systems where manual regression burns the most budget. [Book a Legacy Optimization session](https://s-pro.io/get-in-touch) [Return to S-PRO fintech](https://s-pro.io/) Link copied to clipboard Language - [EN](https://s-pro.io/core-legacy-modernization) - [DE](https://s-pro.io/de/core-legacy-modernization) - [FR](https://s-pro.io/fr/modernisation-core-legacy) [Get in touch](https://s-pro.io/get-in-touch)