Agentic AI App Accelerator & MVP

WHO IT’S FOR CIOs, CTOs and IT leaders, CDOs and innovation leaders, AI and data infrastructure teams, and the product owners and subject matter experts who define the use case. It is built for mid-market and enterprise organizations in BFSI (Banking, Financial Services, and Insurance) that need a governed, production-ready AI app. It also fits other regulated, document-heavy industries such as healthcare.

WHAT MAKES IT DIFFERENT Most AI pilots stall between proof of concept and production because governance, data access and success metrics are left until last. We build security, responsible-AI controls and evaluation in from the first sprint, define success criteria on Day 1, and deploy into your own Azure tenant. You leave with a working app, not a demo, and a repeatable pattern for your next use case.

WHAT YOU RECEIVE • Prioritized use case roadmap, mapped by business value, AI fit and feasibility • Scalable solution architecture • Secure model deployment in your Azure tenant, integrated with your enterprise data • Governance and security guardrails • A tested AI app or agent running in production • Documentation, evaluation approach and runbooks for handover

SUPPORTED MICROSOFT PRODUCTS Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Container Apps, Azure Key Vault, Azure SQL Database, Azure Blob Storage, Microsoft Entra ID, Azure Application Insights and Log Analytics. The exact services depend on your use case.

PREREQUISITES • An Azure subscription and permissions to deploy in it • A named business owner and a defined, or candidate, use case • Access to the data and systems the app needs, plus a security or compliance contact • Subject matter experts available for sprint feedback • Azure model availability and quota in your region

LIMITATIONS AND CONDITIONS • The engagement delivers one AI app or agent for one agreed use case. Additional use cases are scoped separately. • The 12-week timeline assumes access to data, environments and stakeholders from Day 1. • Azure consumption (models, search, compute and storage) is billed to your Azure subscription and is not included in the engagement fee. • AI outputs can be incorrect. The app is designed for human review, and results depend on your data quality. Any performance figures we cite are from prior engagements and are not guaranteed. • This is not an ongoing managed service. After handover, your team operates the app, and support options are scoped separately.