Every other vendor pitch in early 2026 is some flavour of "agentic AI" or "next-generation reasoning." Most of them are solving problems the average mid-market business doesn't have yet.
If you're a 50 to 500-person business and you've been told you need an AI strategy, here's the version that's almost always right.
You don't need a new model
The frontier models from late 2024 are still genuinely excellent. The 2026 improvements are real, but they're 10-20% better at tasks where the 2024 versions were already 90% good enough. For internal business workflows, that delta doesn't show up in outcomes.
Pick a model. Stop benchmarking. Spend the energy on what's around the model.
You don't need agents (yet)
"Agentic" is the buzzword of the year. For 95% of business workflows, a well-prompted single-shot LLM call with the right context still beats a multi-step agent — and is 10x easier to debug when it goes wrong.
We've built both. Agents shine when the workflow is genuinely multi-step and the steps are independent. They lose badly when the workflow is "do this one thing well, every time, predictably."
What you do need
- Three to five clearly-defined use cases, each with a measurable before/after — not "AI strategy."
- A retrieval layer over your own content so the model has context that's actually yours, not just internet-scale defaults.
- A human review loop for the first three months of every deployment. The model will surprise you, both ways.
- A way to switch models in one config change when something cheaper or better arrives — and something will.
The unglamorous truth
The companies extracting real value from AI in 2026 aren't the ones running the biggest models. They're the ones who picked three workflows, instrumented them carefully, and ship a small improvement every month for a year.
That's not a strategy that wins keynotes. It's the one that wins quarters.
