Legacy Eats the Roadmap
Maintenance absorbs the capacity meant for new capability.
AI-Driven Digital Transformation That Ships.
AI-native engineering with Claude, Copilot, and Cursor to modernize legacy systems, build new applications, and run AI transformation on outcome-based contracts. Senior engineers stay accountable for every release.
- Up to 50% faster migration
- Outcome-based contracts
- AI-native delivery
- Nearly two decades of delivery
Legacy Slows You Down. AI Pilots Don't Ship.
Aging systems eat the roadmap, new builds take quarters, and AI tools stay stuck in pilots. We close that gap with governed AI engineering that reaches production, even in regulated industries.
New Builds Take Quarters
By launch, the business has already moved on.
AI Stays in Pilots
Without governance for code, security, and IP, nothing reaches production.
Definition
What Is AI Transformation?
AI transformation is the shift from isolated AI pilots to production systems that change how an organization builds software, runs operations, and makes decisions, with measurable outcomes. At SMI TechSolutions, AI transformation starts with an AI readiness assessment, then applies AI-native engineering to the systems that matter most.
- 01Assess readiness
- 02Modernize or build with AI-native engineering
- 03Run, measure, and scale
Services
What We Build
01 / 05
02 / 05
03 / 05
04 / 05
05 / 05How we build
AI Code Assistants Write Faster. Engineers Stay Accountable.
Claude
Analyzes legacy code, plans refactors, and drafts documentation.
GitHub Copilot
Speeds up day-to-day coding and test writing.
Cursor
Runs codebase-wide changes with full project context.
Every change passes human review and automated quality gates. Your code stays yours.
Engagement models
Work With Us Your Way
Industries
Governed AI Engineering for Regulated Industries
Built for sectors where uptime, data integrity, and compliance shape every engineering decision.
FAQ
Frequently Asked Questions
What are AI-driven digital transformation services?
AI-driven digital transformation services use AI code assistants such as Claude, Copilot, and Cursor to modernize systems and build applications faster, while senior engineers own architecture and release decisions. SMI TechSolutions delivers them on outcome-based contracts.
Is AI-generated code safe for enterprise systems?
Yes, when it passes the same controls as human-written code. SMI TechSolutions puts every change through human review, automated testing, and security scanning inside your repositories and policies.
How do you modernize legacy systems using AI code assistants?
AI code assistants map the legacy codebase, suggest refactors, and generate tests, so engineers modernize faster with less risk. SMI TechSolutions keeps proven business logic, reviews every change, and decides with you whether to modernize or rebuild.
Who owns the code?
You do. SMI TechSolutions works in your repositories and hands over full source and documentation at the end of every engagement.
What is an AI readiness assessment?
An AI readiness assessment reviews your systems, data, codebase, and team skills to show where AI can deliver measurable results first and what must change to get there. SMI TechSolutions runs it as a short first step before any modernization or build.
How do outcome-based contracts work?
SMI TechSolutions and the client agree on measurable results up front, such as a system live in production, and fees are tied to delivering them. SMI carries execution risk. Time and material fits better when scope is still evolving.
What does AI native mean in software engineering?
AI native means AI is built into how software is designed, written, tested, and maintained, not added as a pilot afterward. At SMI TechSolutions, AI-native engineering means every engineer works with Claude, Copilot, and Cursor daily, inside governed review and release processes.
How do Claude, Copilot, and Cursor work together in enterprise software engineering?
Each tool covers a different job. Claude analyzes large codebases, plans refactors, and drafts documentation. GitHub Copilot speeds up day-to-day coding and test writing. Cursor applies changes across a whole project with full context. SMI TechSolutions engineers choose the right tool per task and review every output.
Is AI-powered application modernization different from a cloud migration?
Yes. A cloud migration moves an application to new infrastructure largely as it is. AI-powered application modernization uses AI code assistants to restructure the code itself into cloud-native, maintainable architecture. SMI TechSolutions often combines both, so the application is easier to change after it moves.
How do you govern AI engineering in regulated industries?
SMI TechSolutions runs AI-assisted work inside your repositories, access controls, and security policies. Every change passes human review, automated testing, and security scanning, and AI usage stays auditable. We align delivery with the frameworks you answer to, such as HIPAA, SOX, and SOC 2.
Do you offer AI strategy and transformation consulting?
Yes, as the first stage of delivery rather than a standalone report. SMI TechSolutions starts with an AI readiness assessment, then builds a roadmap tied to business KPIs, and stays to engineer the systems on it. That keeps strategy and execution with one accountable team.
Ready to Ship What's Stuck?
Start with an AI readiness assessment: a 30-minute call with an engineering lead and a clear path forward.
- Nearly two decades of delivery
