Thrive has expanded its Managed AI Services with the introduction of its AI Adoption Model and the launch of the Thrive Managed AI Workspace, a secure AI platform enabling access to 58 major AI models within a single governed environment.
For all stages of the AI journey
Gartner research shows the market moving beyond peak hype and into a phase of practical reassessment. Thrive is seeing organisations struggle across the mid-market: organisations are still grappling with AI adoption.
While many companies are already experimenting with AI, their efforts are often informal and siloed, creating risks such as shadow AI, data exposure, and inconsistent outcomes. These informal rollouts also lack a structured path to move from experimentation to measurable business impact. Michael Gray, chief technology officer at Thrive, adds insight by stating:
“AI isn’t a flip-the-switch initiative. The market is full of tools that assume adoption will ‘just happen’ once a licence is assigned. Thrive’s Managed AI Services meet customers where they are, setting guardrails first, proving value quickly, and scaling into production-grade workflows. Affective AI adoption isn’t a sprint, but rather a crawl, walk, run.”
Meaningful AI Adoption
Thrive’s Managed AI Services provide clients with flexible deployment options across two secure platforms, which can be implemented independently or combined:
- Managed AI Workspace with access to 50 + large language models, multi-model comparison, and secure centralised management
- Managed Microsoft 365 Copilot with controlled rollout, permissions hygiene guidance, and operational support embedded within Microsoft applications
Thrive’s new Managed AI Workspace provides secure access to all 58 major AI models in a single managed environment, allowing organisations to gain flexibility without sacrificing governance.
Instead of locking into one ecosystem or managing multiple vendors independently, teams can select the models that best align to their workflows. When combined with centralised oversight and guardrails, that flexibility drives higher confidence, smoother adoption, and long-term, sustainable AI usage.
A Modified Framework for Today’s Mid-Market
Thrive’s AI Adoption Model combines advisory-led alignment, guardrails, training, and managed delivery to move organisations from AI curiosity to secure, scalable, production-ready workflows without overwhelming internal teams.
A crawl, walk, run approach ensures AI adoption happens in a way that aligns technology with human behaviour, governance, and measurable outcomes. Rather than overwhelming organisations with broad deployments that often lead to low usage or security risk, this phased model begins with controlled, low-risk use cases that build trust and establish guardrails. Bill McLaughlin, CEO at Thrive, expressed his insights, stating:
“As users gain confidence, AI expands into everyday workflows where teams begin realising productivity gains and operational efficiencies. With that foundation in place, organisations can then scale AI across the business with standardised processes and automation, creating a clear path from experimentation to sustainable adoption and measurable ROI. We believe this is the best path forward to becoming an AI-first organisation.”
By combining secure, model-agnostic platform access with a structured adoption methodology, Thrive transforms AI from a license into a long-term business capability.
