29th April 2026

When language precision is mission-critical: Leadership advocacy in action at Syngenta

Recent data from the EF Corporate Learning Maturity Report 2026 reveals that while 94% of companies are using AI within their language programs, only 29% have fully embedded and optimized it. With AI adoption already widespread in learning, what is holding organizations back from reaching maturity in its implementation?

Discussions about AI-powered learning often focus on learner engagement or digital readiness. However, this can overlook one significant obstacle to implementation: leadership buy-in.

At Syngenta, a global agri-tech company operating in more than 90 countries, language precision is mission-critical across safety, compliance, and innovation. For regulatory teams navigating approvals worldwide, accurate legal and scientific communication directly affects market access and business outcomes.

Teresa Miralles, Talent & Culture Lead at Syngenta, explains how leadership sponsorship helped shape the company’s advanced AI-enabled language learning strategy and embed learning across a global workforce.

Syngenta emphasizes language learning for leaders. How does improved leadership communication impact the wider company?


Many global organizations underestimate a key barrier to scaling coaching capabilities, which is a lack of language confidence at the leadership level. Leaders often understand coaching models intellectually but struggle to execute them because they lack the nuanced vocabulary required for powerful, developmental conversations.

Experience at Syngenta shows that the real challenge is linguistic execution. Without access to the right words, such as “assumption,” “perspective,” “constraint,” or “aspiration”, leaders hesitate, and coaching impact diminishes. Communication confidence shapes coaching effectiveness.

Language training alone does not go far enough; it must be integrated with coaching skill-building. When organizations create safe spaces for leaders to practice vocabulary within real coaching contexts, engagement rises, and business impact becomes measurable through higher employee engagement, stronger retention, and more innovative teams.

EF’s research supports this, as stronger language programs that are aligned to development goals lead to higher engagement. For example, 92% of very high maturity organizations (those with the strongest language programs) report high engagement and are nearly twice as likely to experience low turnover. These organizations foster psychological safety, allowing leaders to acknowledge and address capability gaps.

How do senior leaders influence whether learning initiatives succeed or whether their impact remains isolated?


Isolated programs lack strategic positioning and co-creation, meaning their transformative capacity is limited. At Syngenta, every L&D initiative begins by defining the business problem or capability being built. Programs are co-designed with stakeholders, aligned to real needs, and co-led by business leaders, ensuring capability development is owned by the business rather than delivered in isolation by HR.

Powerful program design stems from this strategic alignment. While we recognize that language capability is essential as an organization, priorities can vary significantly by region. The challenge is the prioritization of which languages, for whom, and in what sequence, given finite resources. Clear baselines, milestone tracking, and continuous impact assessment keep initiatives tied to strategic goals.

Through our partnership with EF Corporate Learning, we’ve been able to embed AI-enabled language learning, which helps to meet the distinct needs of teams across regions. The approach blends AI-powered speech analysis, conversation simulations with avatars, personalized learning journeys, and writing feedback with experienced instructors who provide context and cultural nuance.

Senior leadership has been crucial to the success of this program and all our learning initiatives. Success depends on active sponsorship, visible role modeling, and embedding learning into performance expectations. When executives publicly commit to developing their own capabilities, it legitimizes learning across the organization. Ultimately, the fastest-advancing organizations aren’t those with the best tools but those whose leaders model continuous development themselves.

"Organizations that approach AI-enabled learning with strategic integration and leadership courage will be the ones to reap the greatest benefits: strengthening collaboration, accelerating innovation, and building globally capable leaders."

–  Teresa Miralles, Talent & Culture Lead, Syngenta

What is your advice to HR leaders starting their AI-enabled learning journey today?


1. Identify and address resistance to AI

Prepare for organizational dynamics you may not have anticipated, because AI-enabled learning will surface capability gaps and cultural patterns that were previously hidden. Implementation often reveals complexity as technology adoption intersects with power dynamics, generational differences, and cultural attitudes toward learning. Some leaders embrace data-driven feedback and become champions. Others question the value or find reasons why "this won't work for us."

At Syngenta and across organizations I've worked with, success comes from anticipating this resistance. Before piloting AI-enabled learning, have explicit conversations with senior leaders about what success looks like, how progress will be measured, and what happens when data reveals development needs at all levels. Create psychological safety for leaders to be learners. Otherwise, a pilot may succeed technically but struggle to scale organizationally.


2. Align learning features to business outcomes

Start with a focused pilot built around one critical capability where language directly impacts business outcomes. Use AI features that genuinely enhance learning, such as speech analysis, conversation practice, and personalized journeys, always integrated with qualified human instructors who provide context and cultural nuance.


3. Measure success in a nuanced way

Measure behavior changes and business impact, not just completion rates. Following the pilot, lessons should be extracted systematically, considering: What value did this create? For whom? Under what conditions?

What works in one region or context may not translate directly to another. A feature that drives engagement in North America, for example, may require adaptation in Asia-Pacific. The organizations advancing fastest take a systematic approach to learning and build evidence-based business cases. AI-enabled learning requires the same rigor as any business-critical investment.

Contributor

Teresa Miralles, Talent & Culture Lead at Syngenta

Teresa is a leader within the Talent and Culture department at Syngenta,. She manage and drive strategic projects globally, mainly focusing on enhancing organizational development and employee engagement.