GenAI Fast Track: POC to Production

The Avahi GenAI POC Service is tailored for organizations seeking to explore the potential of AWS’s generative AI solutions through a targeted proof-of-concept approach. Designed to accommodate enterprise-specific needs, our service accelerates the POC lifecycle, providing hands-on guidance, technical expertise, and detailed assessments to demonstrate the value and capabilities of GenAI within a real-world environment.

Comprehensive POC Service: Avahi’s GenAI POC Service covers each stage of your GenAI evaluation, from planning and initial setup to in-depth testing and performance evaluation:

• Assessment & Planning: Avahi’s experts work closely with your team to identify POC objectives, map relevant GenAI models, and outline an actionable POC strategy tailored to your business.

• Model Selection & Configuration: Assistance with selecting and configuring AWS GenAI models, optimizing for targeted use cases such as content generation, summarization, or custom chatbot development.

• Environment Setup: Dedicated support for establishing a secure AWS environment optimized for GenAI, ensuring data protection and compliance.

• Testing & Validation: Avahi’s team rigorously tests the POC setup, providing comprehensive validation metrics on performance, cost-efficiency, and scalability.

• Analysis & Recommendations: Detailed analysis report with actionable insights and next steps, enabling your business to make informed decisions on full-scale GenAI implementation.

Key Features:

1. Tailored POC Strategy: Avahi develops a customized POC roadmap, ensuring alignment with your organization’s specific objectives and technical constraints.
2. Expert Guidance: Our seasoned professionals provide expert-led setup, configuration, and deployment, allowing your team to focus on innovation without the technical overhead.
3. Performance Metrics: Avahi delivers detailed analytics and performance metrics, enabling a comprehensive understanding of GenAI’s impact, including resource utilization, latency, and cost.
4. Flexible Experimentation: Enable your team to experiment with multiple GenAI models and configurations, ensuring the best fit for your target use cases.
5. Comprehensive Knowledge Transfer: Avahi provides your team with the training and resources needed to manage and further develop GenAI capabilities independently.

How we accomplish this:

Week 1: Discovery & Planning

1. Kickoff & Alignment

• Identify stakeholders and establish collaboration tools.
• Review data requirements and SLAs, finalize AWS connectivity, and set success criteria.

2. Deliverables

• Document acceptance criteria, finalize platform requirements, and agree on architecture.

Week 2: Design & Development

1. Data Acquisition & Preparation

• Gather necessary data and configure event-driven tasks for data ingestion and transformation.

2. Pipeline Development

• Develop an end-to-end AI pipeline to deliver a tailored solution for your use case.

3. Deliverables

• Functional end-to-end AI pipeline with outputs that provide business value.

Week 3: Quality Check & Handover

1. Testing & Feedback

• Conduct user testing for the POC with quality checks against accuracy standards. Capture feedback within a 3-day window.

2. Handover

• Deliver final documentation and hand off the POC to your team.