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:

Tailored POC Strategy: Avahi develops a customized POC roadmap, ensuring alignment with your organization’s specific objectives and technical constraints.

Expert Guidance: Our seasoned professionals provide expert-led setup, configuration, and deployment, allowing your team to focus on innovation without the technical overhead.

Performance Metrics: Avahi delivers detailed analytics and performance metrics, enabling a comprehensive understanding of GenAI’s impact, including resource utilization, latency, and cost.

Flexible Experimentation: Enable your team to experiment with multiple GenAI models and configurations, ensuring the best fit for your target use cases.

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.