Seven AI consulting firms for mid-market companies compared on delivery model, pricing and time to working software. Updated for 2026.
AI
Questions to Ask an AI Consulting Firm Before You Sign
The questions to ask an AI consulting firm, plus what a good answer and a red flag answer sound like for each one.
The Fractional CTO Guide to Deploying AI in 90 Days
A fractional CTO guide to AI implementation: de-risking vendor choice, buying fixed scope, and a 90-day sequence that ships.
MLOps and AIML Operations Services: From Model to Production
MLOps and AIML operations services that move models from laptop to production. See how the AIM-IT framework closes the lab-to-live gap.
AI and ML Data Analytics Solutions: Use Cases, Stack and Outcomes
A practitioner guide to AI and ML data analytics: real use cases, the modern MLOps stack, the challenges that stall projects, and
AIM-IT: The 90-Day Framework From AI Assessment to Production
A 90-day AI implementation framework: assess, innovate, model, implement and track, with the named artifact each phase produces.
Don’t Automate Chaos: A Field Guide to AI Process Improvement That Actually Sticks
The rules of enterprise technology are being rewritten again, and most leaders are walking into the exact same trap that buried the ERP wave, the data warehouse wave, and the cloud wave. The question in 2026 is no longer "How do we ERP this?" or "How do we cloud...
The Physics of Getting Poorer: Why Your Human Capital is Being Repriced in the AI Economy
Hard work and elite cognitive talent are being demonetized. Between 7% annual currency debasement and AI repricing labor, the “physics” of your career has shifted. This article explores the Gunpowder Problem of technological sovereignty and introduces the AIM-IT framework to help you reposition into arenas where human judgment creates a structural advantage.
AI Content Generation: From Caves to Code
From as early as I can remember until I graduated from high school, I was fascinated with art and studied it with the goal of becoming a graphic artist at Disney Studios in Los Angeles. Much has changed since those early days. Consider how technology has shaped...
From Days to Minutes: Building AI Data Science Agents with OpenAI Agent Builder
The demand for data scientists is exploding, with salaries averaging over $150,000 and a critical talent shortage hindering innovation. Traditional methodologies like Six Sigma’s DMAIC can take 3-6 months to complete, creating a significant bottleneck. This article provides a guide on how to leverage new tools like OpenAI’s Agent Builder to create AI data scientist agents. Discover how these agents can automate the entire DMAIC process, delivering comprehensive analysis in minutes—not months—and offering a powerful solution to the costly challenges of data science talent and time.