Outcome-Based Delivery for AI and Modernization on AWS
AIHouse helps companies launch AI, automation, and modernization workloads on AWS with a more predictable engagement model.
Every engagement is scoped around the outcome you want to deliver, the systems involved, the data required, and the production architecture needed to make it work securely.
How Engagements Are Scoped
AIHouse engagements are sized based on five factors:
Business Outcome
What result needs to be delivered, such as workflow automation, faster reporting, document processing, data modernization, or AI agent deployment.
Technical Complexity
How many systems, applications, data sources, APIs, and workflows need to be connected.
Security Requirements
What access controls, auditability, encryption, governance, and deployment boundaries are required.
AWS Production Footprint
Which AWS services, architecture patterns, and operating requirements are needed for production.
Delivery Readiness
How prepared the customer is to move from use case to build, launch, and scale.
Common Ways Customers Start
AI Agents for Business Automation
Automate manual work across ERP, CRM, operations, finance, procurement, and project workflows.
GenAI and GenBI Applications
Launch AI-powered dashboards, chat experiences, Text-to-SQL, and decision intelligence using enterprise data.
Intelligent Document Processing
Extract, classify, validate, and route documents such as contracts, invoices, claims, forms, and loan packages.
Enterprise Knowledge Assistant
Give employees secure access to trusted answers from internal documents, policies, systems, and knowledge bases.
Data Warehouse Modernization
Modernize legacy data platforms on AWS and create an AI-ready foundation for analytics and GenAI.
AIOps and Observability
Improve reliability, cost control, performance monitoring, and operational support for cloud, data, and AI workloads.
Why AIHouse Reduces Delivery Cost
AIHouse reduces the consulting overhead that slows down traditional delivery.
NuVista AI uses AI-assisted execution, reusable AWS architectures, pre-built solution patterns, infrastructure templates, connectors, and delivery automation to reduce manual work across discovery, planning, implementation, QA, documentation, and handoff.
Customers benefit from faster execution, clearer milestones, and a leaner path to production.
AWS Marketplace and Funding Alignment
AIHouse is designed for AWS Marketplace procurement.
Customers can use existing AWS purchasing processes, centralized billing, and AWS-aligned governance to start faster.
Qualified customers may also be eligible for AWS funding alignment and NuVista AI co-investment support to reduce upfront friction for the first workload.
What Every Engagement Includes
Outcome and success criteria
Technical discovery
AWS architecture design
Delivery roadmap
AIHouse automation and reusable assets
Security and governance review
MVP or production build
Human expert validation
Handoff and expansion plan
Built for Enterprise Control
AIHouse is designed for customer-controlled AWS environments.
Customer data can remain within AWS security boundaries, with access, encryption, networking, logging, and governance controlled by the customer.
This gives teams a practical way to deploy AI while maintaining control over data, security, and production behavior.
Proof Points
100 +
AWS Projects Delivered
100 +
Certified Professionals
250 +
Engineers Across Global Delivery Centers
AWS
Marketplace-Aligned Engagement Model
Production-focused delivery across migration, data, AI, automation, and operations
Start with a Fit Assessment
Bring one workflow, workload, or AI use case.
NuVista AI will help define the outcome, validate the AWS architecture, identify the delivery path, and recommend the fastest route to production.