GCCs are no longer cost centres. They're expected to build global platforms, lead AI adoption, and ship at global pace. OpsTree builds that future with you — embedded in your teams, accountable for your outcomes.
A modernisation programme needs 30 specialists for six months, then a handful for ongoing operations. Hiring against that curve means over-staffing the peak or under-delivering it. A co-engineering partner scales with the programme, not against it.
Platform engineering, SRE, GenAI-ops, data architecture, and full-stack development are hard to hire and expensive to retain. A co-engineering partner brings those specialisations ready — without the overhead of building and holding them permanently.
Programmes are scoped. Commitments are made. Building the right engineering team from scratch takes quarters — and delivery windows don't move. Every month spent on resourcing is a month not spent on outcomes.
Your engineers should own the crown-jewel product work. A co-engineering partner absorbs the build-and-transition load — application development, data platform buildout, programme delivery — so your team stays focused on what moves the needle.
Co-engineering isn't staff augmentation dressed up. It's a different operating model. OpsTree engineers join your team structure, work inside your tools and governance, contribute to your roadmap, and stay — growing with your centre's mandate rather than exiting when a project closes. From building and modernising applications to engineering data platforms, standing up cloud infrastructure, and delivering AI solutions in production — OpsTree covers the full breadth of what a high-performing GCC needs to execute on today.
13+ years of enterprise delivery patterns, accelerated by proprietary platforms already running inside global enterprises like yours.
Production-grade LLM solutions, RAG pipelines, and agentic workflows embedded into your engineering operation. Built on open-source foundations, deployed on your infrastructure.
Modern data platforms, lakehouse architectures, real-time pipelines, and analytics infrastructure — engineered for scale and built AI-ready from the ground up.
Full-cycle application development — from greenfield product builds to monolith-to-microservices transformations and AI-guided re-architecture. We build, modernise, and own delivery end-to-end.
Internal developer platforms, Kubernetes management, CI/CD governance, and delivery standardisation — accelerated by BuildPiper, running inside global enterprises today.
Automation-first delivery, secure cloud orchestration, and intelligent operations built into every sprint. Security and compliance embedded, not bolted on.
Proactive reliability, AI-led incident detection, and MTTR reduction; powered by REMS + Olly, running inside global enterprises today.
End-to-end quality engineering, automated testing frameworks, and continuous quality governance — built into delivery, not added at the end.
OpsTree takes end-to-end ownership of programme delivery — managing timelines, milestones, governance, and stakeholder accountability so your centre hits its commitments without exception.
Depending on where your centre is in its maturity — and what your current programme demands — you can deploy either model, or both simultaneously.
Individual specialists embedded directly into your GCC team. They work in your codebase, attend your standups, operate within your tools and governance, and stay — building context and capability inside your centre over time. Not contractors. Not body shop. Engineers with deep niche expertise who become part of how your centre delivers.
OpsTree takes end-to-end ownership of a programme or workstream — managing delivery, timelines, milestones, and outcome accountability so your centre can focus on strategic priorities. Ideal when you need a proven delivery engine stood up fast, without the overhead of building and governing it internally.
The new GCC mandate isn't to follow the group's AI strategy — it's to set the pace for it. That means moving beyond pilots and proofs of concept into production-grade AI systems that deliver measurable business outcomes. OpsTree engineers that transition with you — building, deploying, and operating AI at enterprise scale.
Production-grade large language model solutions embedded into your engineering workflows — RAG pipelines, document intelligence, conversational AI, and code generation at scale. Built on open-source foundations, deployed on your infrastructure.
Autonomous AI agents that monitor, diagnose, and act across your engineering stack. From intelligent incident response to automated pipeline management — AI that operates, not just assists.
REMS + Olly bring AI-led SRE intelligence to your operations — detecting anomalies, correlating signals across the stack, and driving proactive reliability. Managing 900+ metrics for a leading OTT platform today.
End-to-end ML pipelines, model lifecycle management, and AI platform infrastructure — so your data science teams ship models to production faster, with governance built in.
Modern data platforms, real-time pipelines, and lakehouse architectures that make your data AI-ready. The quality of your AI output is only as good as your data foundation.
Governed AI adoption embedded into your software delivery lifecycle — from AI-assisted code review and test automation to secure, compliant AI tooling across your engineering teams.
Dedicated pods of 3–15 engineers with specialised DevSecOps, SRE, and Data-AI skills that are hard to hire in-house. Plugs directly into your team structure with zero onboarding overhead.
Long-term retainers with committed capacity, SLAs, and delivery accountability. Engineering throughput, not just headcount.
We work inside your brand, your tools, and your governance framework; with no C2H agreements and full IP ownership staying with your centre.
BuildPiper, REMS, and SRE accelerators shorten delivery timelines on your biggest programmes without adding headcount. Your centre moves faster from day one.
Long-term, dedicated pods — built and running today.
What are you expected to build, lead, or operate? We align on skills needed, team structure, and what "good" looks like in 90 days.
From 500+ specialists across AI , data , DevSecOps, SRE and platform engineering — we find the right fit for your stack, your governance, and your pace.
Your codebase. Your tools. Your team. FDEs join your standups, contribute to your sprints, and work within your centre's operating model from week one.
Scale the pod, extend to a new domain, or add FDS for managed capability ownership. One partner across the full arc - no reprocuring as the work changes.
Unified CI/CD, Kubernetes management, and delivery governance in one place. Security and compliance built into every release — not bolted on. Already running inside Airtel, Waste Management, McKesson, and more.
AI-led observability and SRE intelligence on an open-source foundation. Detects, explains, and helps remediate reliability issues across the stack — with 99.99% uptime and 70% faster MTTR.
220% increase in traffic capacity, 50% faster releases, and 50% fewer deployment failures. Ads platform built for global scale.
Service onboarding cut from 2 weeks to 2 hours across 250+ services via BuildPiper automation.
Software engineering excellence and delivery modernisation accelerated at scale via BuildPiper.
150+ ports unified, $500K+ in SaaS cost savings, and 100% real-time visibility achieved across 75+ countries.
300% productivity boost for content teams via a GenAI RAG solution built on Amazon Bedrock with real-time data.
98% reduction in query scan size and 20% lower daily compute costs via modern data stacks.
We don't arrive with a framework and a deck. We arrive with engineers, platforms, and a delivery track record across 200+ global brands. The work starts in week one.
GCCs no longer need vendors who execute predefined scopes. They need partners who bring expertise, execution, and ownership — and scale with the centre as it grows. That's what a decade of embedded delivery builds.
BuildPiper and REMS aren't sold separately. They're the same tools our FDEs use to deliver faster, with better governance and less manual overhead — for every client, from day one.
Whether you need a niche squad for a modernization sprint, an outcome-based retainer for ongoing platform ownership, or an embedded AI engineering pod - the conversation starts here.