New AI tools, including chatbots and AI agents are being created and used faster than most institutions can respond. Families, universities, media organizations, and governments are under increasing pressure to use AI despite not having clear rules, shared standards, or enough trained staff to use it well. The biggest risk is not a shortage of tools. It is adopting AI for the sake of it, then realizing too late that the institution cannot oversee it, address problems, or explain decisions. AI should be treated less like a single product and more like part of a broader digital foundation. The long-term impact will depend on whether institutions can build practical skills, test what works, and decide when not to use AI at all.

IREX’s decades of experience in digital transformation around the world shows a consistent pattern: technology alone does not strengthen institutions. Progress depends on leaders that can make informed choices, manage risk, and keep people accountable for outcomes. How decisions get made, how data is handled, how tools are chosen, and how the organization learns over time also matters.  Safe, low-risk testing is often more effective than one‑time training. Organizations also need people who can assess, question, and apply digital tools responsibly in real-world settings. Strong security habits and “safety by design” are core components, not extras, because the risks of data misuse, large-scale errors, and unintended harm increase as AI adoption expands.

IIREX recently applied this approach during a multi‑day engagement in Panama. At the invitation of the U.S. Embassy, and through the U.S. Speakers Program, IREX Senior Technical Expert Laura Agosta led lectures, workshops, and conversations on AI adoption with policymakers, journalists, university students and faculty, and public officials. The engagement reflected IREX’s role during moments of rapid technological change: helping institutions strengthen judgment, readiness, and oversight rather than focusing narrowly on tools.

The challenge: AI is moving faster than institutions can keep up, and governance investment matters

Across Latin America, institutions are under pressure to adopt AI while many basics are not yet in place. Some still lack clear rules for when AI can be used, who approves its use, who is responsible if something goes wrong, and how sensitive data is protected. When adoption is driven by urgency or hype, institutions often end up with scattered pilots that add risk without building long‑term capacity.

This challenge is not limited to one region. Research by IREX and Development Gateway on university AI readiness found a major gap between interest and preparation: only about one in three institutions reported having a clear AI strategy, and fewer than one in five had governance structures in place to manage AI responsibly. The takeaway is simple: tools are moving fast, but the rules, skills, and systems that make AI safe and useful are not keeping up.

IREX sees this as a leadership and systems challenge. Responsible adoption depends on how well people make decisions under uncertainty and how effectively institutions build routines for oversight, learning, and accountability.

The opportunity: a leadership‑first approach to responsible AI adoption

IREX helps institutions make better decisions about AI and build the capacity to use it responsibly. Rather than treating AI as a standalone innovation, IREX places it within an organization’s mission, values, and daily operations. This helps leaders move beyond “Which tool should we use?” and toward more practical questions:

• Where can AI genuinely improve our work?
• What risks must we address before adoption?
• What data, oversight, and decision rules need to be in place?

Putting the approach into practice

In Panama, these ideas became hands‑on practice. Over several days, IREX worked with government officials and legislators, university communities, and journalists.

Participants examined the full picture, from data and infrastructure to the tools people use frequently. The focus was on trade‑offs and safeguards, not mastering one platform.

Practical steps institutions can use right away

• Assign responsibility early. Decide who can approve AI use, who owns the risk, and who is accountable when problems occur.
• Ask basic questions before adoption. What is this tool for, what can go wrong, and what will we do if it fails?
• Buy and build in parts when possible. Treat AI as a set of components, not an all‑in‑one purchase that creates dependence on a single provider.
• Strengthen data practices. Data quality, secure sharing, and clear rules for access matter because AI performs only as well as the data it pulls from.
• Make human review a real step. Build review and sign‑off into everyday workflows.
• Keep checking and updating. Review, test, and adjust as tools, data, and context change.
• Create a standing AI oversight group. Include program, legal, IT, and other perspectives so decisions do not rest solely on one team.

Learning safely through practice

In addition, participants used practical exercises and demonstrations to test tools in controlled settings and identify necessary safeguards before scaling. 

One approach adapted to each audience

Whether working with universities, public institutions, or media organizations, IREX’s expert used one consistent decision and oversight approach and adjusted examples and exercises to match each group’s needs.

Why this matters and what IREX offers

The Panama engagement shows IREX’s ability to deploy quickly, work across sectors within one country, and support U.S. government priorities on AI, governance, and workforce readiness. More broadly, IREX brings field‑tested capabilities that are directly relevant for responsible AI adoption. We start from real use cases and tests them in context, partners with technical experts when needed, and emphasizes responsible adoption based on extensive experience in digital development. IREX also supports the “behind the scenes” work that makes AI adoption practical: building stronger data practices, creating clear internal policies, and training staff so organizations can use AI safely and consistently.

From using AI to analyze data and improve course design to training young people and helping institutions assess their readiness, IREX helps organizations start small and build practices they sustain and scale. 

As AI evolves, we will continue combining responsible use, partnerships, and continuous learning, so governments, universities, media, and entrepreneurs can turn ideas into practical, responsible solutions that can grow over time.

For more information about IREX’s work in AI or to partner with IREX for your upcoming programs or initiatives, please contact us.