Step into the Future of Intelligent Agentic Systems
AI is transforming how organizations operate – but real value comes from moving beyond experimentation to production-ready, business-aligned solutions.
With our Agentic AI Kickstart, we help you move from inspiration to a tangible AI-powered solution in form of a MVP. Instead of building just another chatbot, we work with you to design and implement a first Agentic AI use case that delivers measurable business value and establishes the foundation for scalable, secure AI operations on Azure.
The engagement is modular in scope and duration and can be tailored to your specific use cases, AI maturity level, and organizational setup.
Unleash the Power of Agentic AI
Transform how your organization works – from information retrieval to autonomous execution. With Agentic AI, you can:
- Design intelligent systems: Build AI agents that retrieve, reason, and execute across your business landscape.
- Accelerate time to value: Move rapidly from idea (via Proof of Value) to MVP with a structured architecture and proven patterns.
- Leverage proprietary knowledge: Turn your internal data (tables, documents, pictures, records, …) into a secure competitive advantage.
- Scale responsibly: Combine automation, governance, and guardrails for production-grade AI.
What You’ll Gain
An expert-led MVP designed to help you:
- Understand the core principles of Agentic AI and modern AI architectures
- Identify and prioritize high-value AI use cases
- Design a tailored AI architecture aligned to Azure
- Define a concrete AI solution including users, autonomy level, guardrails, and business case
- Integrate proprietary data securely and effectively
- Establish governance, monitoring, and AgentOps foundations
- Build a roadmap toward scalable, enterprise-ready AI adoption
Our Approach
The Agentic AI Kickstart follows a structured four-step approach that can be flexibly scheduled and adapted to your needs:
1. Inspire & Define
AI vision and use case ideation focused on:
- Business value levers and measurable outcomes
- User interaction models (chat vs. invisible automation)
- Autonomy level (human-in-the-loop vs. full automation)
- Risk assessment and guardrail requirements
Clear definition of your first AI solution, including:
- Ownership and responsibilities
- Success criteria and KPIs
- Security and compliance boundaries
- Expected business impact
2. Architect & Enable
Target architecture aligned with Azure and enterprise standards:
- Reference architecture for Agentic AI systems
- Model and tool selection (LLMs, orchestration, retrieval, MCP, etc.)
- Secure data integration (structured & unstructured)
- Guardrails, governance, and traceability
- Azure AI Studio workspace setup
- DevOps and AgentOps foundations (CI/CD, tracking, cost and decision monitoring, evaluation, alerting, etc.)
3. Minimal Viable Product (MVP)
End-to-end implementation of your first AI solution:
- Data ingestion, preprocessing, and retrieval (RAG where needed)
- Agent logic and orchestration design
- Tool integration (APIs, ERP, CRM, business systems)
- Frontend or interaction layer (chat, app, embedded workflow)
- Human-in-the-loop feedback loops
- Automated evaluation and quality assessment
- MVP demo and stakeholder validation sessions
The goal: a secure, production-ready technical asset that proves measurable business value.
4. Scale & Strategize
From first success to sustainable AI capability:
- Scale DevOps and AgentOps
- Governance and compliance blueprint
- Handover and enablement of your internal teams (technological and business)
- Scaling pattern for additional AI agents and use cases
- Kick-off for the change process for succesful use of AI within your organization
Discover how Agentic AI can reshape your organization.
Let’s build your intelligent future – step by step, securely and at scale.
Note: Agenda and staffing may vary slightly depending on availability and specific requirements.