The technology is already in place, but the way people work has not changed?
Simply providing tools or delivering training does not guarantee a change in how work gets done. An organization may continue performing the same tasks, under the same rules and with the same division of responsibility, even when AI solutions are already available.
The program helps define how tasks should be divided between people and AI, redesign roles and accountability, and build the capabilities needed to work with AI solutions every day. It can be delivered independently or support a broader implementation or scaling program.
The goal is a lasting change in how work gets done, not a one-time tool training session.
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Who is AI Workforce for?
For organizations that have introduced AI tools but are not achieving the expected adoption, are implementing automation or AI agents, or want to clearly divide tasks and accountability between people and technology. -
When should you redesign work with AI?
When training has not changed day-to-day activities, roles and accountability remain unclear, employees do not know when to trust AI recommendations, or new solutions have not been permanently embedded in processes. -
What does AI Workforce deliver?
The program defines the division of tasks, roles, control principles, and the model for working with AI. It also identifies the capabilities needed to use the technology safely and consistently in everyday work.
How can we help?
We translate AI capabilities into a clear division of work, roles, accountability, and the capabilities needed to use AI solutions every day.
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Division of tasks between people and AI
We analyze how work is performed and determine which tasks AI can support or perform, and which require human decision-making, oversight, or accountability.
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Roles and accountability
We redesign roles and accountability so that the use of AI does not create ambiguity around decisions, quality, or outcomes.
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Model for working with AI solutions
We define the workflow, how outputs are verified, and how exceptions are escalated.
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Capabilities needed for everyday use
We identify the capabilities required in new or redesigned roles and define a direction for their development.
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Preparing the organization for change
We address trust, concerns, and barriers to using AI so that the change in how work gets done is sustainable.
From access to tools to meaningful changes in how work gets done
AI adoption does not automatically increase with the number of licenses or training sessions. Work must be redesigned through a clear division of tasks, accountability for decisions, integration of the solution into processes, and capabilities aligned with new roles.
The program focuses on how people and AI should work together on specific tasks. Technology is one part of the change, not its sole point of reference.
Why Grant Thornton?
Building a repeatable capability to scale AI requires combining value and portfolio management with the design of the operating model, standards, architecture, and team ways of working.
Grant Thornton
The Grant Thornton team supports the design of the portfolio management model, accountability, decision rights, investment criteria, and value measurement system.
Digital team | EDISONDA
Grant Thornton’s Digital experts translate the scaling model into shared principles for delivering initiatives, addressing user needs, and managing processes, data, technology, and capabilities.
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30 years+
operating in Poland
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1200+
employees across 7 offices
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2400+
satisfied Grant Thornton clients each year
