Esatto AI Momentum

We help employees use AI to simplify tasks, save time and improve the quality of their daily work. Through hands-on workshops in small, role-specific groups, participants work with practical examples drawn directly from their own organisation.

Theory is combined with practical exercises where participants learn to build their own AI solutions, ranging from simple assistants to more advanced systems where multiple AI agents collaborate to complete a task. The goal is to equip every participant with both useful tools and the skills to continue developing their AI capabilities independently.

Custom AI Assistants and Agent-Based Solutions

Practical AI tools built around participants' actual tasks, ready to be used directly in their daily work.

Identified Opportunities

A clear understanding of which tasks can benefit most from AI and where it can deliver the greatest value.

Skills for Continued Development

Practical knowledge and the ability to independently build, adapt and further develop AI solutions.

When employees use AI in different ways, both quality and efficiency can vary. We help teams establish shared ways of working and integrate AI into processes and workflows that involve collaboration across multiple roles.

Based on the team's needs and existing tools, we develop AI-powered solutions, common practices and structures for knowledge sharing. For development teams, this may involve working directly within their existing code environments and tools, focusing on how AI can support the entire development process.

Through ongoing coaching and follow-up sessions, we ensure that these ways of working continue to evolve and deliver value over time.

Shared Ways of Working

Clear processes and methods for using AI effectively and consistently across the team.

Prompt Libraries, Templates and Playbooks

Shared resources tailored to the team's tasks, processes and technical environment.

Continuous Development and Coaching

Regular follow-ups and practical support to advance AI adoption and improve collaborative workflows.

Creating long-term business value with AI requires a clear direction, the right priorities and the ability to evolve ways of working across the entire organisation. We help leadership teams identify where AI can make the greatest impact and translate opportunities into a concrete plan for the business.

Together, we analyse processes, identify opportunities for greater efficiency and new business opportunities, and prioritise initiatives based on business value, feasibility and risk. The work also includes developing a practical AI proof of concept based on the organisation's specific needs.

To enable sustainable progress, we establish frameworks for governance, accountability, secure AI adoption and knowledge sharing. The goal is to build an organisation that can not only start using AI but also develop the internal capabilities needed to drive progress independently.

Shared Vision and Prioritised Action Plan

A clear direction for how AI will support business objectives, which initiatives to prioritise and how to move forward.

Governance and Secure AI Adoption

Guidelines and frameworks for responsible AI use, covering information security, data management and accountability.

A Foundation for Long-Term Development

Ways of working that support knowledge sharing, build internal expertise and enable continuous AI development across the organisation.

"Everyone Uses AI Differently"

Employees approach AI in different ways, making it difficult to achieve consistent results without shared ways of working.

"We're Getting Inconsistent Results"

The quality of AI-generated outputs varies, making it difficult to assess which results are reliable and meet the required standards.

"Leadership Lacks a Clear Direction"

Ideas and initiatives exist throughout the organisation, but there is no shared understanding of where AI can and should create value.

"We're Unsure What's Allowed"

Uncertainty around data usage, information security and accountability creates barriers that often slow progress more than the technology itself.

"Progress Depends on a Few Enthusiasts"

Some employees have made significant progress independently, but their knowledge and experience remain with a handful of individuals rather than benefiting the wider organisation.