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Measure your AI maturity

Take this short assessment to see where your organization stands on the path to AI adoption–and find out what you can do to reach the next level.

Accelerate your AI journey

Fast-track the learning curve and get practical, tactical AI implementation advice that delivers immediate value.

AI experimentation guide

AI experimentation guide

A framework to move from AI interest to implementation.

A practical approach to fine-tuning

A practical approach to fine-tuning

Discover a practical approach to fine-tuning that balances technical requirements with business outcomes.

AI use case identification

AI use case identification

Link business challenges or opportunities to potential AI solutions.

Still not sure where to start?

Break out of analysis paralysis. We’ve tested hundreds of tools against real-world constraints. Let us guide you to the right solutions for your specific use case.

What we’re thinking about

From the practical to the philosophical, our teams have a lot to say about how AI is impacting the SDLC. Check out our latest insights.

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Generative AI, Mid-market Orgs

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Andy McKinney, CEO

Aug 19 2025, 5:09:23 PM

When midmarket companies talk about AI implementation, the conversation often begins with efficiency. How much can we automate manual processes? What's the ROI on automation? These are important questions, but there's a more strategic question that deserves equal attention: once you do achieve that efficiency, what happens next?

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Generative AI, Mid-market Orgs

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Arnon Bruno V. Santos

Aug 4 2025, 7:43:18 PM

Growing mid-market companies often hit a wall trying to scale operations. Fortune 500 enterprises don’t thrive just because they’re big – they are big because they’ve built sophisticated internal coordination and systems to control everything seamlessly. The good news is you can reverse-engineer these enterprise playbooks using agentic AI systems to get Fortune 500-level coordination without the Fortune 500 headcount or overhead.