40%
of enterprise applications were projected to include task-specific agents by the end of 2026, up from under 5% in 2025.
GartnerFree AI agents white paper
A controlled path from deterministic automation and AI assistance to bounded agents that can act without outrunning policy, evidence, or human authority.
Inside the guide
Why this matters now
The guide pairs current market attention with public research and practical controls. These are context points, not promises of results.
40%
of enterprise applications were projected to include task-specific agents by the end of 2026, up from under 5% in 2025.
GartnerSingle digits
still describe agent deployment across nearly all business functions in current survey data.
Stanford AI Index — Economy~1 in 3
structured computer-use tasks still fail for leading agents on the OSWorld benchmark.
Stanford 2026 AI IndexCommon questions
An agent uses a model to choose how to progress toward a goal, selects among allowed tools, observes results, and adapts across multiple steps. A chatbot, summary, or fixed workflow with one model call is not automatically an agent.
An agent is worth considering when the goal is bounded and valuable, the work contains real variability that defeats sensible rules, the available tools and authority can be constrained, outcomes can be evaluated, and early actions are reversible or reviewable.
Very little. Start in observe or draft mode. Add selected actions only after representative and adversarial evaluation demonstrates acceptable quality, access behavior, policy compliance, cost, recovery, and human oversight.
Bring one workflow, decision, or system that is creating friction. We can help you turn it into a practical assessment, pilot, or delivery path.