OpsTree AI Experience Center
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The co-engineering partner for
Your GCC.
Scale faster. Build deeper. Deliver globally.
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.
You can build this in-house.
The question is whether you should.
A modernization program 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.
Platform engineering, SRE, GenAI-ops, and DevSecOps are hard to hire, slow to find, and expensive to retain. Attrition resets months of context every time.
Programmes are scoped. Commitments are made. But building the right engineering team from scratch takes quarters; and delivery windows don't move. Every month spent recruiting is a month your competitors spend shipping.
Your engineers should own the crown-jewel product work. A co-engineering partner absorbs the build-and-transition load so they can stay focused on what matters most.
Forward-deployed engineering teams. Accountable to your outcomes.
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.
13+ years of enterprise delivery patterns, accelerated by proprietary platforms already running inside global enterprises like yours.
Production-grade LLM solutions, RAG systems, and agentic workflows embedded into your engineering operation; not piloted, shipped.
Modern data platforms, real-time pipelines, and AI/ML enablement for faster, more confident decisions.
Monolith-to-microservices journeys, AI-guided re-architecture, and quality engineering; delivered at enterprise pace.
Internal developer platforms, Kubernetes management, CI/CD governance, and delivery standardisation at scale.
Automation-first delivery, secure cloud orchestration, and intelligent operations built into every sprint; not bolted on after.
Proactive reliability, AI-led incident detection, and MTTR reduction; powered by REMS + Olly, running inside global enterprises today.
Embedded engineers or end-to-end services.
You choose what fits.
Depending on where your centre is in its maturity and what your current programme demands — you can deploy either model, or both simultaneously.
Forward Deployed Engineers
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.
Forward Deployed Services
OpsTree takes end-to-end ownership of a capability or workstream — with committed capacity, defined SLAs, and outcome accountability. Ideal when your centre needs a proven engineering function stood up fast, without the overhead of building and managing it internally.
Your GCC isn't just expected to adopt AI.
It's expected to lead it.
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.
Choose the model that fits today.
We evolve as your centre grows.
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.
These aren't one-time projects.
These are teams that stayed.
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.
Not just people. Platforms that make
your GCC move faster.
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.
Depth in our niche.
Breadth within it.
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.
Your GCC is ready to lead. We engineer the outcomes that prove it.
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.