With flexible team composition and engagement models, Tgix enables clients to engage at any step of their journey.
Tgix meets organizations where they are in their digital transformation journey. As your trusted AWS partner, we can engage with you at any step along the way – from strategizing to implementation and optimization of your AI and cloud solutions.
Strategy
Engage with us to conduct strategy and planning workshops, AI/Cloud Readiness Assessments, and architecture reviews.
Implememtations
Engage with us to implement your POC solutions, or provide end-to-end migrations, modernization, or new builds.
Optimizations
Engage us to implement proven processes and automation to streamline operations.
SME Support
Embed Tgix experts directly with your teams for added skills and capacity – project-based or long-term.
Managed Services
Engage us to provide ongoing infrastructure and DevOps management, with monitoring, metrics, and upgrades.
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.
1. Strategize:
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.
2. Plan:
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.
3. Build:
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.
4. Deploy:
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 mission but also reliable and cost-effective to operate.