Airlift is our prescriptive approach to technology transformation. We embed with your teams or tackle discrete projects, bringing hands-on technical leadership that ships production-ready software while teaching your teams modern practices.
AI tools and techniques are evolving weekly. We stay current so you don’t have to. Every Airlift engagement incorporates AI-assisted development – not as an afterthought, but as a core part of how we work and what we teach your teams.
No buzzwords. No six-month consulting reports gathering dust. Just working software, delivered in 8-week cycles, that transforms how your organization builds technology.
We become part of your team for 6+ months. Think of us as the senior technical leadership you wish you had hired two years ago.
You have a discrete business need with defined scope. We design, build, and deploy it using modern technologies and best practices.
We become part of your team for 6+ months. Think of us as the senior technical leadership you wish you had hired two years ago – shipping code, mentoring your team, and leading by example.
Ideal for:
Typical engagement:
We don’t consult from the sidelines. We write code. We deploy applications. We make pull requests your team reviews. We integrate AI tools into daily workflows. Change happens when people see it work, not when they read about it in a deck.
You have a discrete business need with defined scope and timeline. We design, build, and deploy it using modern technologies and best practices – then show your team how to replicate the approach.
Ideal for:
Typical engagement:
After three projects, you own the practices, the patterns, the AI workflows, and the capability. No vendor dependency.
Move past legacy technology decisions with pragmatic platform assessments and modern stack recommendations.
Replace manual deployments with automated pipelines and infrastructure as code.
Bring focus and transparency with practical Agile processes aligned to strategic goals.
Transform inconsistent applications into cohesive user experiences with design systems and pattern libraries.
The problem: Technology stack decisions made five years ago. Nobody knows why. Teams can’t translate business problems into technical solutions efficiently. Technical debt is crushing velocity.
What we do:
AI acceleration: AI performs multi-repo gap analysis (hundreds of references analyzed in minutes), suggests architectural patterns for new requirements, maps compliance requirements to design decisions, and identifies affected services from architectural changes.
What you get: Modern stack that supports business needs. Clear architectural patterns. Documentation that developers actually use. Reduced time from idea to implementation. We’re not religious about technology. Angular vs React? .NET vs Node? We choose based on your team’s skills, your existing investments, and your business needs – not what we want on our resumes.
The problem: Deployments take weeks. Nobody knows what’s running in production. You find out about issues after customers complain. Cloud costs are spiraling. Infrastructure is heterogeneous and unaudited. Testing is manual. Every release is an adventure.
What we do:
AI acceleration: AI analyzes test failures and suggests root causes, categorizes code quality issues by severity, and assists with code review in CI/CD pipelines.
What you get: Deployments in hours, not weeks. Auditable infrastructure. Predictable releases. Cost transparency. Your team owns the pipelines and can maintain them.
The problem: No organizational backlog. Strategic goals don’t connect to R&D work. Planning is ad-hoc. Stakeholders have no visibility into progress. Teams are reactive and unfocused.
What we do:
AI acceleration: AI drafts user stories from stakeholder conversations, generates ADRs from technical discussions, updates sprint plans when requirements change, and generates status updates from git commits and work artifacts.
What you get: Teams aligned to goals. Leaders with situational awareness. Predictable delivery timelines. Scope and priority decisions based on data, not politics. We’re pragmatic – if it helps you ship, we do it. If it’s ceremony for ceremony’s sake, we skip it.
The problem: Every application looks different. Learning curves are steep. Developers design interfaces because you don’t have UX resources. Support costs are high. User satisfaction is low.
What we do:
AI acceleration: AI generates design documentation from wireframes, suggests accessibility improvements, identifies UX inconsistencies across applications, and drafts pattern library documentation.
What you get: Consistent user experiences. Faster development – stop reinventing wheels. Lower training costs. Higher user satisfaction. Applications that work together instead of against each other.
Most AI transformation efforts fail because they try to change everything at once. We take a progressive approach that lets teams build confidence before expanding scope.
Getting started: Teams new to AI-assisted development begin with code completion and documentation drafting on local machines. Low risk, immediate value. Typical early results: 20-40% time savings on repetitive code and documentation. Teams learn when to accept AI suggestions and when to override them.
Cross-service AI: The real value comes when AI understands how your services connect. With orchestrated development environments, AI agents can answer questions like “what breaks if I change this event schema?” and coordinate changes across repositories. At this level, cross-cutting changes that took 3-4 hours drop to 30 minutes. AI participates in code review, test analysis, and documentation sync. Teams focus on judgment while AI handles mechanics.
8-Week Cycles
Every Airlift engagement runs in focused 8-week cycles. At the start, we define concrete goals. At the end, we deliver working software.
No multi-year roadmaps. No endless discovery phases. You see results quickly, adjust direction based on what you learn, and build momentum through visible progress.
Start anywhere. Prove value. Expand.
We don’t need to transform everything at once. Pick the discipline causing the most pain and start there. Once your team sees results, expanding becomes a natural choice rather than a hard sell.
Financial services client — Moved to hybrid cloud in one month. Created templates for both backend and frontend services with reusable CI/CD pipelines. Leveraged templates to deploy new research application that became part of the sales pitch. On time and on budget.
Life sciences client — Grew from small team to $340M business in 12 months during COVID-19. We built over 50% of the application and helped hire/grow the internal team.
Healthcare technology company — Partnered with their development team to build an AI-powered prior authorization platform while maturing their engineering practices around AI. Started at Level 2 (AI-assisted code completion) and reached Level 4 (cross-service AI orchestration) by the third development cycle. The platform reduced processing time from 15-20 minutes to 2-3 minutes using a multi-agent system that navigates insurance requirements, medical terminology, and clinical documentation across multiple payers. Prior authorizations now get approved the first time instead of rejected and appealed. Doctors spend time with patients instead of paperwork. And the team has continued extending the platform to additional use cases on their own.
Technology transformation is hard. But it doesn’t have to be painful, and it doesn’t have to take forever. Let’s talk about what’s holding you back and whether Airlift can help.
