Oryvan Global GenAI COE | GenAI Engineering and Delivery
End-to-end GenAI engineering that pushes modern enterprises to build, govern and scale custom intelligent platforms with ROI that shows up on the balance sheet, not just the roadmap.
AI capabilities
Engagement
Typical delivery
Capabilities
These are the capabilities driving our GenAI work: from initial direction and model integration through to governance, product experience and full adoption.
Where LLMs meet production: strategy, agentic workflow automation, RAG or SLMs, and models built to earn their keep.
Roadmaps built to ship, not just present well
We demystify AI adoption with clear, future-ready roadmaps aligned to revenue, risk and the stack you already run.
Claude, OpenAI, Azure AI
Bots designed to convert, not just chat
Sharper chatbots and creative automation that engage customers across support, sales and onboarding.
OpenAI, Intercom, HubSpot
Models that learn how your business runs
Custom ML models trained on your data to forecast demand, catch anomalies and drive sharper decisions.
Python, TensorFlow, SageMaker
Seeing and understanding at scale
Smarter automation powered by image recognition, document understanding and language pipelines.
OpenCV, Yolo, Hugging Face
Personalised journeys, fewer manual steps
Personalised experiences and AI-assisted workflows that fuel growth without bloating headcount.
RPA, ML pipelines, CRM hooks
Pipelines, cloud and enterprise surfaces: the complete stack your AI runs on.
From raw data to governed insight
Turning raw data into clarity, insight and action through reliable ingestion, labeling and feature stores.
dbt, Airflow, Snowflake
Deployed where your business already runs
Deploying and scaling AI seamlessly across AWS, Azure and GCP, with observability built in from day one.
AWS Bedrock, Azure OpenAI, Vertex
Custom apps engineered for real load
Custom applications and tuned systems that drive efficiency, uptime and speed under genuine traffic.
Next.js, Node, Kubernetes
AI-native product experiences
Seamless digital experiences engineered to perform and scale, with intelligence woven into the interface.
React Native, Next.js, Flutter
Security, ethics and guardrails that keep AI accountable in production.
Protection that scales alongside adoption
Intelligent protection that keeps your business secure through threat detection, access control and model hardening.
Zero-trust, SOC2, red-team reviews
Responsible AI, built in from the start
Transparent, fair AI adoption backed by policies, review boards and audit-ready documentation.
Policy, bias testing, compliance
Design and change management so teams genuinely adopt what we build.
Interfaces people actually trust
Interfaces that feel natural and intuitive, built for people through AI-accelerated iteration and human judgment.
Figma, design systems, research
Change, navigated with confidence
Guiding your business through AI-driven change with training, playbooks and measurable adoption milestones.
Change management, workshops, OKRs
How to choose
Use this quick guide to find a sensible starting point before we dive into a deeper discovery conversation.
| If you need to | Core capabilities | Why this combination |
|---|---|---|
| Validate an idea with a real AI product | AI Strategy, Conversational AI, MVP engineering | Working, clickable flows early, with a clear path to production. |
| Add GenAI to an existing app | RAG pipelines, Conversational AI, cloud integration | Grounded answers, tool use and a safe rollout on your existing stack. |
| Automate repetitive operations work | RPA with AI, data pipelines, integrations | Event-driven workflows with built-in monitoring and human handoff. |
| Launch with trust and compliance | Ethics and governance, cybersecurity, UX design | Policies, testing and interfaces your stakeholders can confidently sign off on. |
| Scale an existing AI system | Cloud AI integration, performance engineering, data pipelines | Cost-optimised infrastructure built to grow without breaking. |
How we pair
Most successful projects draw on two or three practices at once. These are the combinations we see work best together.
Pairing 01
A clear roadmap paired with production-ready chatbots embedded right in your CRM and support stack.
Faster adoptionPairing 02
Governed data feeding models deployed on the cloud infrastructure you already run.
Scalable intelligencePairing 03
Human-centred interfaces backed by change programs so teams use AI every day, not just once.
Lasting impactPairing 04
Security hardening matched with the responsible AI policies your legal and ops teams require.
Audit-ready AIPairing 05
Trained models served through optimised infrastructure, backed by real-time monitoring and SLA guarantees.
Production confidencePairing 06
On-device intelligence for retail, healthcare and field operations, fast and fully offline-capable.
Edge-ready AIEngagement models
Engagement 01
Cadence: Project-based timeline
Best for: MVPs, pilots, well-defined AI features
A defined spec, timeline and price, ideal when you already know the outcome before sprint one.
Engagement 02
Cadence: Monthly
Best for: Growing products, dedicated capacity
Engineers and designers embed with your team for ongoing delivery and shared standups.
Engagement 03
Cadence: Weekly
Best for: Teams hiring their first AI lead
Architecture, vendor selection and agent design on retainer, backed by practical recommendations.
FAQ
GenAI COE is Oryvan Global's dedicated Centre of Excellence for Generative AI engineering, bringing together strategy, build, trust and experience practices so clients ship AI that holds up in production, not just in a demo.
Start with the "How to choose" matrix above. Still unsure? Our 30-minute discovery call maps your situation to the right starting point, with no obligation attached.
Three options: fixed-scope builds for well-defined outcomes, embedded pods for ongoing product delivery, and advisory retainers for teams working through AI strategy. Most clients begin with a fixed build and move into a pod from there.
Yes. We audit your current stack, pinpoint integration points and build capabilities that extend what's already working rather than replace it. We only recommend a rip-and-replace when it's genuinely the right call.
Discovery kicks off within 5 business days of signing. For fixed builds, you'll have a proposal and scope in hand within 2 weeks, and embedded pods typically onboard during the first sprint of the following month.
We're model-agnostic, working across OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAI and open-source models like Llama and Mistral. Our recommendations are driven by your requirements, not vendor preference.
Reach out anytime, whether you have a question, need support, or want to see exactly how we can move your business forward. Our team is ready, and waiting.
Write to us directly at
oryvanglobal@gmail.com +91 7488309441