AI agent readiness: 5 areas to prepare, Gartner's 2026 CIO data and a checklist for HR and leaders

At Webrazzi Summit 2026, Turkcell's Yusuf Yiğit set out five areas companies must prepare for AI agents, while Gartner found only 13% of CIOs see significant value from AI. An AI agent readiness guide for HR and business leaders.

AI agents have moved beyond the chat window into sales analysis, supplier research and alert triage. But are companies' data, organization and permission structures ready? According to Webrazzi, Yusuf Yiğit, Director of AI and Analytics Solutions at Turkcell, answered that question with five readiness areas in his talk "Agents Are Ready. Are We?" at Webrazzi Summit 2026 ^[1]. The same week, a Gartner survey of 2,002 CIOs showed that AI agent readiness depends less on technology than on role design and stopping rules ^[2].

Why AI agent readiness is not about the number of use cases

According to Gartner, only 13% of CIOs say their enterprise has realized significant or transformational value from AI; use cases have accelerated over two years, yet the likelihood of use case success remains one in five ^[2]. Gartner VP Analyst Alicia Mullery put it bluntly: "Volume is not value." ^[2]

The survey of 2,002 CIOs and technology executives ran from May to July 2026. Gartner calls CIOs who deliver better business outcomes while reporting high CEO-perceived AI value "vanguards" ^[2]. What sets them apart:

Quotable stat: organizations with explicit plans to redesign roles for a human-agent workforce are 2.4 times more likely to be AI vanguards, yet only 4% of CIOs have such plans (Gartner, 2026) ^[2].

Costs are under pressure too: 58% of CIOs report increased pressure to deliver cost improvement from AI, and 51% expect AI to raise the total cost of ownership of technology solutions ^[2]. We covered that side in our guide to managing AI token costs with FinOps.

A field example: Turkcell's agent experience

As reported by Webrazzi, Yiğit said Turkcell examined code from its 100 most active AI-using developers and found 90% was written by AI and 10% by people, while stressing that software delivery is more than writing code and every stage, from business analysis to release, has to change ^[1].

The company's Teknocan platform hosts more than 600 AI agents with 2,500 weekly active users, and employees can build their own agents. They are used for customer analysis in sales, research in supplier management, and alert triage in operations and cybersecurity ^[1]. Yiğit also said AI training across all business lines reached a 99% completion rate and that 252 people were hired this year through the company's Young Talent Program ^[1].

He also cited secondary research (these figures appear in Webrazzi's report attributed to Yiğit): per Anthropic research, 80% of time in interactive sessions is spent with agents waiting on humans, and the share of inexperienced hires in technical recruiting fell from 27% to 9%; per Microsoft research, 10% of employees feel blocked by their company from using AI ^[1].

Five areas of AI agent readiness

Yiğit's five areas are data structure, communication platforms, agent working environments, organization structure and observability ^[1]. The table maps each to Gartner's findings and the latest security guidance:

Are agents insider threats? Security and HR at one table

Microsoft argues that agents should be treated as a new kind of insider threat, not because they are malicious but because they can make mistakes, be manipulated or be compromised ^[3]. TechCrunch reports that Microsoft Defender can now detect up to 60 types of agents employees bring into the workplace, and quotes Satya Nadella: "We need to separate the supply of intelligence from the authority over it." ^[4] Microsoft's new Dynamic Permissions feature grants agents only the access a task needs, for a limited time, and can require human approval for critical actions ^[3].

For HR this is a familiar frame: just as a new hire gets a role, permissions and a manager, an agent needs a job description with a named owner. We looked at the risks of agents employees build themselves in employee-built AI agents and at agents inside HR software in HR AI agents from Workday, SAP and Metaview.

Turkey: Adoption doubled, but unevenly

According to Anadolu Agency's summary of TurkStat's 2026 AI statistics bulletin, the share of enterprises using AI rose from 7.5% to 14%, and the share of individuals reporting generative AI use rose from 19.2% to 37.6% ^[5].

Source: TurkStat data compiled by Anadolu Agency ^[5].

The gap between large firms and SMEs suggests readiness is an organizational capacity issue as much as a budget one. For SMEs, our TÜBİTAK DDX digital maturity guide is a practical starting point.

AI agent readiness checklist for HR and leaders

• Is a measurable value target written down before each AI project starts? ^[2]
• Are there criteria for stopping a pilot and for shutting down low-value AI in production? ^[2]
• Have job descriptions been updated for the human-agent split? ^[2]
• Do you know every agent running in the company, its owner and its access? ^[3][4]
• Do agents run with task-scoped, time-limited permissions, with human approval for critical actions? ^[3]
• Are processes and company knowledge documented so agents can use them? ^[1]
• Do you track AI training completion across the workforce?
• Do reward and performance systems encourage AI use? ^[1]
• Is there a plan to protect junior hiring and apprenticeship-style learning? ^[1]
• Is AI total cost of ownership, including run-time costs, budgeted? ^[2]

Frequently asked questions

What is AI agent readiness?

The degree to which a company's data, communication channels, agent environments, organization and observability are prepared for agents to do real work. Yusuf Yiğit groups it into these five areas ^[1].

Why do most enterprise AI programs fail to deliver value?

Gartner finds only 13% of CIOs report significant value and use case success is one in five; missing value definitions and missing criteria for walking away are key gaps ^[2].

Will AI reduce IT headcount?

In Gartner's survey, 40% of CIOs expect IT headcount to grow in 2027, especially in cybersecurity and data and analytics, while roles become fewer in type but wider in scope ^[2].

Are AI agents a security risk?

Microsoft recommends treating them like insider threats because they can err, be manipulated or be compromised, and controlling them with task-scoped permissions and human approval ^[3][4].

How many Turkish companies use AI?

According to TurkStat's 2026 data, 14% of enterprises, rising to 37.1% among those with 250 or more employees ^[5].