Tgix offers a proven GenAI onboarding and adoption framework designed to help organizations move from strategy to production with confidence. Our approach supports secure, scalable, and compliant deployments, aligning with industry standards such as SOC 2 and HIPAA.
Our methodology includes three core phases:
We assess your data landscape, technical architecture, and organizational readiness, including data engineering capabilities, ML maturity, and cloud infrastructure.
Through collaborative workshops, we identify and prioritize high-value GenAI use cases based on business impact and technical feasibility. This phase results in a clear adoption roadmap and governance model.
We design and deploy MVPs, pilots, and production workloads using AWS services such as Amazon Bedrock, SageMaker, Connect, and OpenSearch, ensuring best practices for security, reliability, and performance.
Our QuickStart Solutions in the AWS Marketplace are designed to help you jumpstart initiatives – such as AI/Cloud Strategy Workshops, Use Case Validation, POC Implementations, etc. – quickly and cost-effectively.
Still not sure where to begin your transformation journey? Here’s a simple path to introduce AI to the organization, with Tgix to guide you at every step.
Sign up via the AWS Marketplace for our complimentary AI Strategy & Use Case Workshop. During this session, we’ll work with a cross-functional group from your organization – leaders from IT, operations, marketing, HR, legal, and compliance – to identify opportunities, pain points, and explore where AI or cloud solutions can bring the greatest impact.
Together, we’ll identify a high-impact use case that is well suited for a Proof of Concept (POC) and has strong potential to qualify for AWS funding. Tgix also takes the lead in preparing and submitting the appropriate funding application on your behalf.
Once the use case is greenlighted, Tgix works with your team to shape the technical approach. This includes identifying the right architectural building blocks, choosing the appropriate large language model (LLM), and aligning data sources to ensure accuracy and reliability, before moving to implementation and validation.
Finally, we take your solution into production, ensuring it is built on enterprise-grade infrastructure that can scale securely and efficiently. The result is an AI solution that is not only aligned with your business but also reliable and cost-effective to operate.
As an AWS Advanced Tier Services Partner, we can help clients identify and access available AWS funding and incentives, such as Proof of Concept (POC) funding and the GenAI Impact funding.
Contact ustoday to securely build, scale, and operate production-ready AI solutions.
