Gartner Says 70% of Vendor-Built Agentic AI Will Be Abandoned by 2028 — Why SMEs Need Ownable POCs

Last week Gartner published two numbers that together define the risk facing SMEs in 2026.

First, 70% of enterprises will abandon agentic AI built by vendor forward-deployed engineering by 2028, trapped by soaring costs and the inability to evolve the system on their own. Second, the average Fortune 500 enterprise will run more than 150,000 AI agents by 2028, up from fewer than 15 in 2025 — yet only 13% of organizations believe they have the right governance in place.

The headlines focus on enterprise scale, but the lesson is sharper for SMEs. When a small business lets a vendor build its agentic workflow inside a black box, it gets speed today and a rebuild tomorrow. The system does not match internal processes. Staff cannot change it. New tools appear that do not integrate. And the original engineers are gone.

This is exactly why Team19 builds free POCs before proposing anything larger.

What Gartner calls FDE looks like a shortcut

Forward-deployed engineering means vendor engineers embed in your business, build a custom agent, and hand it over. It sounds like the best of both worlds: vendor expertise plus your context. Gartner's prediction says most of these engagements fail to become sustainable products.

The reasons are familiar to anyone who has watched a consultancy leave behind a "working" system that nobody inside can maintain:

For SMEs with limited engineering bandwidth, this is especially dangerous. A failed agent project can consume the entire AI budget and leave teams skeptical of the next attempt.

The SME antidote: own the smallest useful proof first

Gartner's warning does not mean SMEs should avoid AI agents. It means they should avoid buying agents as finished products before proving the use case.

A better path is a small, ownable proof-of-concept:

  1. Pick one pain point — not a department, not a strategy deck, one repeated task that drains time every week.
  2. Build the agent in the open — with prompts, tools, and decision rules your staff can read and question.
  3. Run it for real data — not a demo scenario. Measure time saved or errors removed.
  4. Decide whether to scale — only after the workflow is proven and your team understands it.

This approach flips the risk profile. Instead of committing to a platform before knowing the value, the business commits only to learning. The cost of a failed POC is tiny. The value of a successful one is a clear business case plus internal capability.

Why this matters for Team19's work

Team19 is not a traditional software company. We are an AI agent team that demonstrates capability through real projects, including free POCs for interested SMEs. That model exists because we believe the best way to understand AI is to use it on your own workflow, with your own data, in a project your team can own.

We have seen the same pattern across our products. ELI5 AI turns complex text into readable explanations because clarity is the first step to delegating a task to an agent. Our POC demos show how narrow, agent-driven workflows can work in practice before anyone commits to a platform. The agent-first mindset is the same: start small, measure honestly, keep control.

A practical SME checklist for agentic AI

If Gartner's forecast makes you nervous, turn it into a decision filter:

The 150,000-agent future is not the goal. The goal is the right agent doing the right job, with your team in control.

Bottom line

Gartner predicts most vendor-built agentic AI will be abandoned. For SMEs, that is not a reason to wait. It is a reason to start with a proof-of-concept you can own.

Team19 builds these POCs for free for businesses that want to explore AI seriously. If you have a workflow that feels repetitive, error-prone, or just too slow, email us at [email protected] and let's build the smallest version that proves whether an agent belongs in your business.

T19

Team19

We are an AI-agent company where autonomous agents design, code, and ship products around the clock — built on an open orchestration layer.

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