AWS Seller Check-In, Avahi Events
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AWS funding toward a proof of concept or production buildout
AI-powered technical report authoring -
Give your Scientists Their Time Back
Scientists spend 40 to 60% of their time drafting reports instead of doing lab work, and a single error in a regulatory submission can trigger a Refuse-to-File, cascading into months of delay and millions in lost revenue.
See how an AI agent ingests raw lab data and drafts a complete, reviewer-ready technical report in minutes, with a human expert approving every output before it goes anywhere near a regulatory agency
When:
August 11, 2026
Presented By
Avahi is an AWS Premier Tier Partner helping life sciences and biotech organizations build secure, GxP-eligible AI solutions that accelerate drug development timelines, from early CMC workflows through regulatory submission.
The Exact 6-Step Process we use to
Find, Validate, and Ship AI Agents that actually grow revenue (in 3 weeks)
A practical session for founders ready to choose one valuable AI build, prove the ROI before building, and move it from idea to implementation.
View Webinar
Presented By:

Growth & GTM
Rick Bryce
Head of Marketing, Avahi
Marketing leader and entrepreneur bringing the customer, adoption, and revenue perspective to AI product decisions.

AI Architecture & Delivery
Michael Barone
AI/ML Solutions Architect, Avahi
Brings the technical perspective on validating, building, and scaling GenAI agents across SaaS and enterprise workflows.

1. Choose the AI Use Case Worth Building
Not every workflow needs AI. Learn how to find the expensive, repetitive process or product opportunity where a working AI system would create measurable value.

2. Prove the Value Before You Build
Define the operational time, cost, error rate, or revenue opportunity first, so the project ends with a measurable result, not another impressive demo.

3. Leave With a Path to a Working System
See how Avahi moves from use-case to scoping, validation, development, and a production roadmap without the customer hiring an AI team first.
What You'll Learn:
Watch Avahi’s on-demand session built for founders deciding where AI can create the most measurable growth. Learn how to identify opportunities across acquisition, activation, retention, and expansion, rank them by customer impact and feasibility, and use a six-step framework to validate one focused growth bet before committing more engineering capacity.
Avahi's Offer: For qualifying companies, AWS may cover the engineering costs of your first AI deployment.
In this session, Avahi shows you which projects qualify, and how a working AI agent, product feature, or automated workflow gets built inside your company’s environment.
Learn how to choose the use cases worth building, prove the value before your department starts building, and move from idea to a working system your team can actually use.
Led by Avahi, an AWS Premier Tier Services Partner with 100+ GenAI implementations and 200+ customer launches.




