AI-accelerated software delivery, with accountability built in.
Sherpa is Proshore’s AI engineering capability.
It combines AI agents and enterprise tooling with experienced engineers to modernize software, accelerate delivery, and build intelligent solutions.
From legacy modernization to rapid AI pilots and continuous improvement, Sherpa brings AI into real engineering workflows without taking control away from your team.
One capability. Four ways to move software forward.
Sherpa supports different stages of the software lifecycle. Start where the biggest engineering problem is today
Modernize legacy software safely.
Understand and modernize aging systems without stopping the roadmap.
AI-assisted software engineering.
Help engineering teams deliver software faster with AI-assisted workflows.
Rapid AI pilots.
Turn promising AI opportunities into focused pilots before committing to a larger investment.
Continuously monitor, maintain, and improve your software.
Keep production signals, software context, and engineering improvement connected after release.
Modernize the legacy. Keep the business moving.
Legacy software rarely fails all at once. As dependencies become harder to untangle, releases slow down, and even simple integrations turn into bigger pieces of work. And eventually the existing architecture begins blocking cloud, AI, and product initiatives. A full rewrite creates its own cost and risk.
Sherpa Legacy helps Proshore teams understand and modernize existing software in controlled phases while the current product keeps running.
Understand
Build context around the codebase, architecture, dependencies, and technical debt.
Protect
Strengthen documentation, testing, and system visibility before major changes.
Modernize
Refactor, replatform or rebuild the components where change creates the most value.
Move engineering faster. Without lowering the bar.
AI can speed up individual coding tasks. Sherpa Build focuses on something larger: Making the engineering workflow more effective.
Proshore engineers use AI-assisted workflows across software development while remaining responsible for architecture, review, quality, and production decisions.
Build with more context
Bring codebase, project, and technical context closer to the development workflow.
Automate repetitive work
Use AI where it can reduce repetitive development, documentation, and testing effort.
Keep engineering judgment
Experienced engineers stay responsible for architecture, verification, and production readiness.
What Sherpa Build is designed to improve
- Higher engineering throughput
Reduce repetitive development work so engineers can deliver more in the same time. - Faster release cycles
Use stronger testing and documentation to move changes toward production with less friction. - More high-value engineering capacity
Give your team more time for product improvements and complex technical work.
Turn an AI idea into a real pilot. Fast.
Many companies have AI ideas. The harder question is which ones are worth building. Sherpa Launch helps teams move from opportunity to a focused AI pilot, so they can test technical feasibility and business value before investing in a larger product.
01. Identify
Select a specific problem where AI could create meaningful value.
02. Pilot
Build a focused working pilot around the use case.
03. Validate
Test what works, what does not, and what it would take to move toward production.
Your software is live. The engineering work isn't finished.
Production software keeps changing. Customer needs change while evolving dependencies introduce new technical debt. But the context needed to improve the software is often spread across product, QA, support, and engineering.
Sherpa Pulse helps keep those signals and engineering workflows connected so software can be continuously monitored and improved.
Built around real software. Not just AI demos.
Sherpa grew from the problems Proshore teams were already encountering while building, maintaining, and modernizing production software.
The environment where internal engineering automation helped shape the Sherpa tooling story.
Proof of phased legacy modernization while the existing product continued operating.
Proof that Proshore can work inside existing enterprise teams, architecture, and governance.
AI acceleration. With engineering accountability.
Access to AI is becoming standard. What matters is how it improves real production software. Sherpa brings AI into your engineering workflow while your team stays in control of the decisions that shape what ships.
Turn AI into faster releases and more roadmap capacity while keeping production risk under control.
