We ship production LLM apps, AI agents, and secure ML systems alongside your team. From discovery to deployment, focused on measurable product outcomes.
Trusted by engineering teams at
Why teams choose us
Procedure helps product teams plan, build, and scale AI features in real products. We embed senior engineers who deliver production code, transfer context to your team, and improve speed without sacrificing quality or security.
From LLM applications to AI agents, you get production-ready AI systems built on deep engineering excellence. No science projects. Real products that scale.
Your AI systems are protected from day one. Prompt injection defense, data leakage prevention, and AI-specific security measures that enterprise teams require.
Senior AI engineers embedded directly with your team: same tools, same standups, same commitment to shipping. You get AI capacity without the hiring overhead.
Enterprise-ready security & compliance
Testimonials
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
“We've worked with Procedure across our portfolio, and the experience has been exceptional. They consistently deliver on every promise and adapt quickly to shifting project needs. We wholeheartedly recommend them for anyone seeking a reliable development partner.”
“Procedure has been our partner from inception through rapid growth. Their engineers are exceptionally talented and have proven essential to building out our engineering capacity. The leadership have been thought partners on key engineering decisions. Couldn't recommend them more highly!”
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
What You Get
Build AI-powered products that ship to production. From LLM integrations to AI agents and RAG systems, you get solutions built on proven engineering practices that scale with your business.
Learn about AI EngineeringShip faster with a full-stack team that builds AI-integrated products. You get clean, maintainable code and modern development workflows that accelerate your time to market.
Learn about Product EngineeringDesign intuitive AI-powered products that users love. Your customers get seamless experiences that drive engagement, from conversational interfaces to intelligent dashboards.
Learn about Experience DesignScale your infrastructure for AI workloads. You get cloud architecture optimized for ML models and LLM deployments, with CI/CD pipelines that handle AI-specific requirements.
Learn about Cloud & DevOpsBuild AI-enhanced apps across every platform. Your users get fast, intelligent experiences with seamless AI integrations across web, iOS, and Android.
Learn about Web & Mobile DevelopmentOur Process
A proven engagement process built for enterprise velocity. Your team gains senior engineering capacity within days, not weeks.
Typical timeline from first call to first production PR: 7–10 days.
A focused conversation with our technical leadership to understand your objectives, architecture constraints, and success criteria. You receive an honest assessment, not a sales pitch.
Our principal engineers analyze your architecture, codebase, and technical requirements. You receive a detailed engagement proposal with talent recommendations and a clear execution roadmap.
We curate a team of senior engineers matched to your technology stack and domain requirements. You interview and approve every team member before engagement begins.
Your dedicated engineers integrate directly with your team: participating in standups, adopting your tools, and aligning with your workflows. They operate as true extensions of your engineering organization.
Your team ships production-ready code with comprehensive documentation and knowledge transfer. As your requirements evolve, we scale capacity up or down. No long-term lock-ins.
Engagement Models
Three proven engagement frameworks designed for different business objectives. Scale up, scale down, or pivot. Without renegotiating contracts.
Senior engineers integrated directly into your engineering organization. They report to your leadership and deliver against your roadmap from day one.
Best for
Engineering teams scaling for growth or critical initiatives
Full ownership of a defined scope, from architecture through deployment. You set the objectives; we deliver production-ready software on schedule.
Best for
New product launches or strategic feature development
A strategic partnership to accelerate enterprise AI adoption. We take you from opportunity assessment through production deployment and enablement.
Best for
Organizations pursuing enterprise-wide AI capabilities
Proven Results
Climate TechDiscover how Procedure helped Monaire transform complex HVAC workflows into a unified, scalable product ecosystem with streamlined contractor apps and admin platforms.
EdTechHow Procedure re-architected Timely’s school scheduling platform to scale seamlessly across 30+ districts with faster onboarding and zero data fragmentation.
TelecommunicationsA case study on MCLabs’ rapid development of mission-critical communication software, from concept to production in record time.
Seasoned builders delivering software products. With and without AI.
Production-tested engineering. Your partner for what's next.
Common questions
We build production AI products: LLM apps, AI agents, retrieval-augmented generation (RAG) systems, and model-powered workflows for web and mobile products.
We work with startup, scale-up, and enterprise product teams that need senior AI engineering capacity to ship quickly without compromising quality, security, or reliability.
Most engagements start in 2-5 business days. We align engineers to your stack and roadmap, then embed into your team rituals and delivery process immediately.
You can start with an AI Sprint for validation, then scale with embedded engineers for feature delivery and platform hardening. We tailor team shape to roadmap scope.
AI Sprints typically range from $15K-$50K. Ongoing embedded engineering starts around $50K/month depending on team size, complexity, and compliance requirements.
Validation and prototypes usually take 2-4 weeks. MVP delivery often lands in 8-12 weeks. Larger enterprise rollouts can span 3-5 months based on integrations and governance.
We build secure-by-default systems with access controls, data handling guardrails, and audit-ready engineering practices aligned to enterprise compliance expectations.
Our engineers ship production code with your team, not slide decks. We focus on measurable delivery outcomes, knowledge transfer, and systems your team can operate long-term.
Whether you're building your first LLM application or scaling existing AI systems, our engineers can be embedded with your team within 2-5 days.
Talk to the Team