@McKeeCreative1 You may find @VertesiaHQ interesting as you scale or as you work with clients through your AI assessment. No direct affiliation. Some former colleagues are building there.
The recent issues with frontier models are a reminder that many organizations have built critical operations on a very narrow foundation.
A lot of teams are now rethinking how much they want to depend on any single provider.
How are you thinking about AI model dependency and resilience in your organization?
I shared some thoughts here: https://t.co/K2sNQw0xlA
Frontier model providers are experiencing disruptions again.
If your teams rely on these models for production workflows, this is becoming more than an occasional inconvenience.
I wrote about why single-provider dependency has turned into a strategic liability for large organizations and what more resilient approaches look like.
Read the full piece here: https://t.co/K2sNQw15b8
Recent disruptions (@claudeai) with frontier models are making it clear that many organizations have built too much dependency on a small number of providers.
Teams are now looking for more resilient ways to work across multiple models without creating new operational risks.
One of the more interesting platforms built for this is @VertesiaHQ, which focuses on model-agnostic agentic orchestration with strong governance and observability.
I wrote more about the broader strategic challenge here:
https://t.co/K2sNQw0xlA
I wrote a deeper piece on building more resilient AI operations and reducing single-provider concentration risk.
You can read it here: https://t.co/OIoNSDpjfn
How are you approaching model dependency in your organization right now?
Frontier model providers are experiencing disruptions again. @claudeai is down. 🧵
For many teams, this isn’t just an inconvenience anymore. It’s a signal that we’ve built too much operational dependency on a very small number of AI providers.
Treating AI model selection as an ongoing portfolio decision, rather than a one-time architecture choice, is becoming a meaningful operational advantage.
The organizations that apply the same discipline to their AI stack that they apply to cloud and data infrastructure will be better positioned over the next few years.