Avahi
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Avahi.ai, a premier AWS partner, delivers secure, scalable AI for SMBs, rapid outcomes, expert team.
05/26/2026
Most companies treat cloud migration as an IT project.
The ones moving fastest treat it as a business decision.
Specialists called 25-26 "the inflection point." Here's what that means, and what it looks like when it's done right.
Companies that hand migration to IT alone spend 18 months moving workloads and wonder why nothing changed. Companies that put a business owner in the room alongside the architects? They're making decisions in weeks, not quarters.
The inflection point isn't a technology shift. It's a mindset shift.
At Avahi, we've seen what separates the fast movers from the stuck ones.
Fast movers ask: what business outcome does this unlock?
Stuck ones ask: how do we migrate this server?
One question drives architecture. The other drives tickets.
If your cloud strategy still lives in the infrastructure team's backlog, that's worth a conversation.
05/14/2026
Great week for the Avahi team in Miami.
Meaningful conversations with prospective customers, strong time with our AWS partners, and a solid pipeline of follow-ups already in motion.
Big shoutout to Manan Patel, Director of Sales, Nick D'Antonio, Account Manager, David Garcia, Solutions Architect, and Michael Barone, AI/ML Solutions Architect. The conversations were worth the trip!
Missed Consensus but want to connect? DM us.
05/11/2026
When a global company runs 5,000 employees across 30+ countries, "manual provisioning" isn't just slow. It's a liability.
Propelis Group was living in two IT worlds at once: a legacy environment held together by tribal knowledge, and a modern Terraform-based infrastructure they were trying to grow into. Every day, hours were lost to manual tickets, repetitive configuration work, and the risk of human error at scale.
Avahi came in to do two things simultaneously:
1. Keep the lights on in the legacy environment
2. Build the automated future alongside it.
The result? 100+ hours saved per month. QVDI provisioning cut from hours to minutes. And a 24×7 managed services layer that keeps a global infrastructure healthy, continuously.
That's what a real infrastructure modernization looks like.
🔗 Full case study in the comments.
05/07/2026
7 new faces. 4 countries. One team.
April was a full month at Avahi.
Engineers, architects, coordinators, and project leads, joining from the US, India, Canada, and Mexico. Each of them brings something the team needed. All of them showed up ready to build.
A warm welcome to:
🇺🇸 Savanah Rowley — Events Coordinator
🇮🇳 Payal Airan — Full Stack Developer
🇨🇦 Michael Barone — AI/ML Solutions Architect
🇺🇸 Rhonda Lemke — Technical Project Manager
🇲🇽 Isai Massa — Data Engineer
🇲🇽 Oscar Zendejas — Data Engineer
🇲🇽 Marco Isaac Laurrabaquio — DevOps Engineer
Glad to have you all on the team. The work ahead is big, and we're building with the right people.
04/29/2026
We just earned the AWS Managed Services Provider (MSP) Competency. 🎉
This isn't a badge you apply for. It's a designation earned through a rigorous, independent third-party audit, validating that Avahi has the technical depth and operational maturity to manage the full AWS cloud lifecycle for our customers.
➡️ Swipe through to check what that looks like in practice
The MSP Competency joins our existing AWS validations in Generative AI, Migration & Modernization, Healthcare, DevOps, and SMB, alongside our Premier Partner status.
We're proud of this milestone. But more than the designation, we're proud of the customers who trusted us to own their cloud alongside them.
If your team is spending too much time managing infrastructure and not enough time on what actually moves the business. Let's talk.
🔗 https://hubs.ly/Q04dF2D50
80% of companies are deploying AI wrong. And they're paying a lot of money to find out.
Sergio Romero, Head of Presales at Avahi, breaks down the most common (and costly) mistake we see in AI projects:
❌ The wrong approach:
1. Leadership says "we need AI"
2. Pick a vendor or tool
3. Build a chatbot
4. Hope people actually use it
Result? An expensive experiment nobody asked for.
✅ The right approach:
1. Ask “what's the biggest bottleneck in our operation?”
2. Measure the cost of that bottleneck
3. Prove AI is the right fit
4. Build and validate in 4–6 weeks
5. Deploy an AI agent that saves real money from day one
This is what we mean when we talk about the correct Agentic AI framework. It's not about the technology. It's about identifying a real, quantifiable problem first, and then building around it.
The difference between a POC that dies in a drawer and an AI agent that transforms operations? This process.
And, yes, about 80% of organizations are skipping these steps entirely.
Don't be one of them.
💬 We walked through exactly how to do this right during our AI Implementation Framework for Healthcare webinar with AWS. Want the full session? Drop a comment below.
04/20/2026
Health insurance claims shouldn't take days. For routine visits and prescriptions, waiting for pre-authorization is friction nobody needs.
Healthi knew that. So they asked us to fix it.
Avahi built a multi-agent AI system on AWS that adjudicates claims in real time in under 60 seconds. Five specialized agents work in sequence: verifying identity, retrieving policy coverage via RAG, digitizing and classifying claim documents, and delivering a decision with a confidence score and plain-language explanation.
No more waiting. No unnecessary delays for low-value claims. Just a faster, cleaner experience for members and providers alike.
🔗 Full case study in the comments.
Your AI pilot will never reach production if you only invite the FOMO people.
Brian O'Malley, GenAI Platform Delivery Specialist at AWS, dropped one of the most honest frameworks we've heard for why so many GenAI projects get stuck at the POC stage, and never scale.
Meet the two camps inside every organization:
FOMO — Fear of Missing Out
Your C-suite, sales & marketing, developers.
They're excited. They want to move fast. They're already in the room.
FOMU — Fear of Messing Up
Your finance, legal, IT, and compliance teams.
They're not blockers. They're actually the key to unlocking scale.
Here's the hard truth: most companies are bringing in their FOMU stakeholders too late.
When legal, finance, and your CISO aren't at the table from day one, you end up with pilots that can't answer the hard questions:
→ What does this cost at scale?
→ What are the new risks and vulnerabilities?
→ What are the guardrails?
As Brian puts it, GenAI is uniquely positioned for line-of-business use cases. That means your cloud security and IT teams aren't just implementers. They're decision makers.
Bring them in early. Build once. Scale with confidence.
💬 Want the full webinar? Drop a comment below and we'll send it your way.
What if your claims team could cut review time by 95%?
That's not a pitch. That's what's happening right now in healthcare, and we have the data to prove it.
During our recent webinar, The Agentic AI Implementation Framework, Sergio Romero - Head of Presales at Avahi & 15+ years in AWS solution architecture - shared a real Agentic AI deployment that is reshaping how health insurers handle claims.
📌 We clipped the most eye-opening moments from the session. Watch Sergio break it down in under 60 seconds.
This is what AI transformation in healthcare actually looks like. Real results.
Want the full webinar? Drop a 💬 comment below and we'll send it your way.
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