High AI Qatalyst Modernization Framework: Transform Core Systems Faster
Plug the High AI Qatalyst Framework directly into your delivery cadence—no process overhaul required. Our embedded engineers work alongside your team to accelerate everything from discovery to testing, while your leads retain full architectural authority.
Your Modernization Program
High AI Qatalyst, docked in at each stage
Understand
Automated analysis replaces months of manual discovery.
Specify
One verifiable specification that design, build, and test all follow.
Transform
Code and tests generated inside your guardrails, reviewed by your engineers
Tangible Benefits Through Modernization
Global Grant Provider Cuts Development Time by 80%
Refactoring a legacy monolith into AI-driven microservices unlocked 3x delivery speed with zero downtime.
Where Modernization Programs Lose Momentum
Discovery that Runs for Months
Specifications that Trail the Code
Rework from Missed Requirements
Test Maintenance that Never Ends
Restoring Velocity Across Every Stage
The three stages of High AI Qatalyst are insertion points, not an imposed methodology. Adopt a single stage or run all three. Depth scales automatically with scope, keeping framework upgrades lightweight while giving core-system rebuilds comprehensive, end-to-end rigor.
Accelerate Discovery
AI analyzes your codebase to uncover hidden complexity, legacy frameworks, and tightly coupled systems. Where risk demands deeper scrutiny, specialized reverse-engineering agents reconstruct actual system behavior.
You keep: Portfolio priorities, risk thresholds, and the target modernization roadmap for every application.
Speed Up Alignment
What was learned becomes a structured, human-readable specification of intent, behavior, constraints, and boundaries. Every team works from it.
You keep: Total authority and mandatory sign-off on the extracted system model, API contracts, and specifications.
Fast-Track Delivery
Agents generate compliant code and tests directly from the spec, while automated test and runtime signals feed back into development to prevent downstream rework.
You keep: Architectural standards, security policies, and final approval on every generated pull request.
How You Gain Back Weeks of Engineering Time
40–50%
Sustained productivity gains across engineering teams through AI copilots, intelligent automation, and modern architectures.
90 days
To your first production release, delivered via modular architectures and risk-mitigated, incremental cutovers.
Discovery
Automated scans and reverse engineering replace long manual assessments with a model your team reviews.
Specifications
Generated from code and validated with stakeholders, so the specification is ready before development starts.
Design
User stories and mockups are drafted from real workflows in the system model, so design starts from evidence and reaches developers sooner.
Build
Agents generate code within architect-defined guardrails, and developers review instead of starting from scratch.
Testing
Scenarios, cases, and automation come from the same specification and update when workflows change.
Rework
Defects and drift from the specification are caught early through a closed feedback loop between quality and development.
Leap Past the Legacy UI, Not Just the Legacy Code
The Legacy Workflow
- Form-driven steps spread across many screens.
- The process relies entirely on tribal knowledge.
- The same screens rebuilt on a modern platform.
The Modern Experience
- Conversational, intent-driven interactions in place of long forms.
- Context-aware screens that adapt to role, task, and system state.
- Embedded agents that guide users while the system orchestrates the workflow underneath.
The Engagement Model: From Pilot to Scale
Clear Division of Ownership
Your Team Keeps
- Roadmap and priorities
- Target architecture decisions
- Review and sign-off of every artifact
- Ownership of delivery
QBurst Brings
- An embedded team in your delivery rhythm
- Reverse engineering and specification agents
- Guardrails and recipes tuned to your stack
- Generated tests and a feedback loop
The 4-Step Rollout
- Align: Map your program goals, technology stack, and governance model as QBurst engineers integrate directly into your delivery cadence.
- Configure: Codify architectural standards, security policies, and domain logic into guardrails, skills files, and transformation recipes.
- Pilot: Run one application through Understand, Specify, and Transform alongside your review team to prove value on real code—or start directly in Qatalyst DaaS if experience is the core constraint.
- Scale: Expand the validated model across your application portfolio, dynamically adjusting rigor and depth to match individual system risk.
Full-Stack Modernization, Synchronized Across Every Layer
A single source of truth ensures applications, integrations, data stores, and interfaces move together without architectural drift:
Experience (UI/UX)
Journeys derived from the model, with conversational and context-aware interfaces where they help users. Qatalyst DaaS drafts the stories and screens.
Application Engineering
Business logic preserved, monoliths decomposed along real dependencies, and code generated to your standards.
Data & Middleware
Tests generated from the specification and updated as workflows change, with no manual upkeep.
Automated Quality
Target data stores chosen by use case: relational, columnar, document, or blob and object storage.
High Velocity, Complete Governance
AI accelerates the heavy lifting, but accountability remains with human engineering teams at every milestone:
Architects Set the Rules
Your architects define the target architecture, patterns, and service boundaries and encode them as guardrails the agents must follow.
Stakeholders Validate
Business and technical leads review the system model and the specification before any code is generated.
Developers Review
An engineer reviews every generated change, handles complex edge cases, and refines direction as the system evolves.
Our Partners
Insights
Explore insights on application modernization, AI, and emerging technologies shaping future-ready digital platforms.
AI-Driven Approach to Experience Modernization
A guide for technology leaders planning modernization, offering a deep dive into the Qatalyst framework, its architecture, and its governance model.
50% Increase in Data Processing Speed
A UK facilities services firm modernized its administrative portal and mobile application through a comprehensive strategy focused on upgrading legacy code standards and architecting a scalable AWS backend