Cloud & delivery engineering
Modernize applications and infrastructure. Automate releases, build repeatable deployments, and prepare operational runbooks and handoff.
Cloud migration · Infrastructure as code · CI/CDExplore this service ↗SYSTEMS INTEGRATION & TECHNICAL DELIVERY
Modernize cloud, applications, data, and HPC/GPU workflows with deep domain expertise and AI-assisted engineering. Less manual effort. Better business outcomes.
Aerospace & defense · Commercial enterprise · Utilities · Healthcare
01 / WHAT WE DELIVER
Cloud migration, DevSecOps, legacy APIs, data quality, testing, releases, and operational documentation. We turn recurring technical work into maintainable systems and repeatable processes.
Modernize applications and infrastructure. Automate releases, build repeatable deployments, and prepare operational runbooks and handoff.
Cloud migration · Infrastructure as code · CI/CDExplore this service ↗Replace manual extracts and uploads with governed APIs, CDC, and data-quality pipelines. Curate reliable information with ownership and provenance.
Data lakes · Medallion architecture · System of recordExplore this service ↗Connect existing systems, modernize business applications, and turn complex workflows into maintainable APIs and working software.
APIs · Backend engineering · Enterprise workflowsExplore this service ↗Connect solvers and HPC/GPU workloads to usable applications. Build repeatable deployments and orchestration around compute and access constraints.
HPC / GPU · Solver integration · OrchestrationExplore this service ↗02 / OUR DOMAIN ADVANTAGE
Export-controlled and sensitive technical information adds another layer of complexity. We combine domain advisory with engineering delivery to address it.
Explore export-control systems integration ↗Define what the data is, what evidence supports it, and how it should be handled.
Translate identity, organization, location, and export authorization requirements into control criteria.
Preserve classification, provenance, and accountability as data moves across systems.
03 / EXPERIENCE & APPROACH
Our technical leadership has carried complex enterprise programs from stakeholder alignment and architecture through hands-on implementation, first production release, and team handoff—including leadership of 100-person engineering teams. We assemble each engagement team around the work.
Leadership experience includes prior-employer engagements.Explore selected delivery experience ↗Our experience spans aerospace engineering, global logistics, enterprise ERP, and export-control workflows—including aircraft paint planning and leadership co-inventorship on multiple granted US patents.
Explore aircraft paint planning ↗Explore patent contributions ↗Map the business outcome, existing systems, data, and constraints.
Define the architecture, governance requirements, and delivery work packages.
Build, integrate, and validate against agreed acceptance criteria.
Prepare releases, documentation, and operational handoff.
04 / DELIVERY PARTNERSHIPS
Bring a defined technical work package to an architecture-led team. We work with prime contractors and systems integrators to connect platforms, modernize applications, and implement data controls within a larger program.
Discuss a delivery partnership ↗Cloud migration, governed data integration, application APIs, or engineering workflow orchestration scoped around your program’s needs.
Agree the delivery lead, team, interfaces, acceptance criteria, and handoff before work begins.
Plan around your security requirements, approved access, delivery locations, and integration dependencies.
OUR DELIVERY APPROACH
We bring innovation to the essential work enterprises depend on: modernizing legacy APIs, replacing manual data transfers, automating tests and releases, and making data reliable. AI-assisted engineering and specification-driven development help us reduce repetitive effort and shorten feedback loops, while experienced engineers own the architecture, domain decisions, and integration.
Combine domain knowledge and stakeholder conversations with AI-assisted analysis. Turn business requirements into clear specifications, acceptance criteria, and implementation tasks.
Map system boundaries, data flows, and constraints. Use coding agents to accelerate prototypes and representative mocks, with experienced architects validating the approach.
Use specification-driven development and coding agents to implement scoped changes, connect enterprise interfaces, and iterate quickly with business users.
Apply AI-assisted code review, syntax checks, test development, and defect analysis. Engineers validate behavior, performance, and security against the agreed requirements.
Automate builds, deployments, versioning, and release notes. Use AI to assist infrastructure code, operational runbooks, troubleshooting guides, and handoff documentation, with engineering review and accountable release decisions.
Use AI to assist troubleshooting, knowledge transfer, and maintenance. Feed operational findings back into specifications and prioritize the next useful improvement.
THE P2I.AI DELIVERY MODEL
Deep experience in aerospace, logistics, enterprise ERP, and export control meets reusable specifications, coding agents, automated checks, and repeatable releases. We focus on the systems your business already relies on: less repetitive engineering effort, faster iterations, and maintainable software, with a named lead accountable for the result.
Senior engineers remain responsible for architecture, review, and delivery quality. We use tools within agreed customer data and access boundaries, and agree productivity measures around delivery lead time, rework, and accepted outcomes.
START A CONVERSATION
Discuss an implementation, a modernization initiative, or a defined work package for your project.
Discuss your project ↗Contact us