What We Do

Build an AI-Native Software Development Lifecycle

Work with us on a specific phase or across the full lifecycle. Wherever we start, we first align on priorities, scope and success measures. Each phase combines a documented process, reusable AI skills, connections to your existing tools and clear review requirements.

Planning

Planning

Give the team clear, prioritized work to build. We define requirements, acceptance criteria and ownership, using AI to support scoping and documentation while people make the decisions about what matters.

Design

Design

Work through the user experience before it becomes code. We connect AI workflows to your design system, check key journeys and give reviewers clear criteria for approving designs.

Development

Development

Build against agreed requirements and architecture standards. We configure reusable skills within your engineering tools, support implementation and refactoring, and connect code changes to the requirements and reviews behind them.

QA

QA

Verify that software behaves as intended, including its business logic, user flows and security. We build repeatable testing into your workflow, with clear acceptance criteria and human approval before work moves to release.

Deploy

Deploy

Make release readiness explicit. We connect checks and approvals to your deployment pipeline, define rollback procedures and record what shipped so the team can act quickly when something goes wrong.

Monitor

Monitor

See how the software holds up in production. We connect monitoring, alerts and incident reporting, assign escalation owners and trace issues back to releases so findings inform the next round of work.

Business Outcomes

Know Whether AI Is Improving Delivery

We measure AI leverage, quality, stability, speed and business value across the lifecycle. Reviewing these together
shows whether faster development is helping customers or creating more work elsewhere.

AI Leverage
AI Leverage

See where teams use AI, which tasks it handles well and whether reusable skills reduce effort or create more rework.

Quality & Stability
Quality & Stability

Track review effectiveness, defects and rework alongside failed releases, incidents and recovery time. Identify where the process needs attention.

Speed
Speed

Measure how long work takes in each phase, including time spent waiting for requirements, review, testing and release.

Business Value
Business Value

Follow what happens after delivery. Track feature adoption, customer feedback and whether the work contributes to the business goals that justified it.

Technology & AI

Built in Your Repo, Connected to Your Tools

Nothing is a black box. The frameworks, skills, integration configurations and governance we build stay in your repo. Your team can inspect them, understand how they work and maintain them as the product changes.

Frameworks and Skills
Frameworks and Skills
Document how each phase works and build reusable AI skills for recurring tasks. Ground both in your product requirements, design standards and codebase.
Tool Integrations
Tool Integrations
Connect the workflows to the tools your team already uses. Keep configurations in your repo so your team can review and update them.
Governance
Governance
Define who approves the work and what it must satisfy. Link requirements, code changes and review records so your team can follow what changed, why it changed and who signed off.
Broadlume’s Technological Transformation — 15% Lower Development Costs, $600K in Savings

Broadlume’s Technological Transformation — 15% Lower Development Costs, $600K in Savings

Broadlume, the world’s largest provider of digital technology to the flooring industry, needed to accelerate R&D across multiple legacy platforms and frameworks without the overhead of growing headcount. York IE provided a hybrid onshore/offshore team — U.S.-based product strategist plus India-based full-stack developers — that embedded directly into Broadlume’s sprints. York IE also executed a critical migration of 1,700 customers to a new platform in a single month when the timeline looked impossible.

Read full case study
15%

Reduction in development costs

$600K

In annual development savings

30%

Faster ramp-up time compared to a typical new employee hire

The York IE hybrid approach has been a game changer. We are better able to support our existing platform and meet customer needs, while also moving through our new R&D pipeline faster.
Sean Bave

Sean Bave

President and COO, Broadlume

1,000+ engagements with technology companies

HOW WE WORK

Start With the Phase That Needs the Most Help

You can start with QA or another immediate need, then expand across the lifecycle. We begin by agreeing on what needs to change and how we’ll measure progress. Our U.S. and India teams bring hands-on experience in architecture, technical debt, MVP development and integrations.

Plan and Scope

Find where work is getting stuck and agree on what needs to change. We define the scope, owners and acceptance criteria, then establish a baseline for measuring progress.

  • Clear priorities from the start
  • Agreed scope and deliverables
  • Defined owners and success measures
Build and Implement

Start with a fixed-scope engagement, such as establishing automated QA checks and release approval criteria over approximately six weeks. We build the process, skills and integrations in your repo and validate them against agreed requirements.

  • Fixed scope and agreed timeline
  • Deliverables maintained in your repo
  • Testing and human signoff
Maintain and Expand

Our ongoing AI Ops support keeps your AI workflows, skills and integrations working as your product changes. We review performance with your team and extend the work into additional phases when needed.

  • Workflow and skill maintenance
  • Regular review of phase-level metrics
  • Support for additional phases

Where Is Your Team Getting Stuck?

Tell us what is slowing delivery down. We’ll help you scope the work, address the bottleneck and build a process your team can maintain.

Talk to the Team Explore R&D Capabilities
York IE