AI Capability SeriesAI Architect

AI Architect Innovating Business Processes

Redesign cross-functional work around AI to create greater business value.

Build the capability to identify where AI can create meaningful value, redesign how work flows across teams and functions, and turn new possibilities into responsible, workable business processes.

Course overview

Finding where AI can change the work

The opportunity with AI extends beyond making individual tasks faster. Greater value can emerge when organisations step back and reconsider how work flows across teams, decisions and systems.

That starts with choosing the right processes to change. It also requires sound judgment about what AI should handle, where people remain accountable and how a redesigned process will affect customers, employees and business outcomes.

AI Architect develops the capability to identify high-value opportunities and turn them into responsible AI-enabled ways of working.

What you will gain

Build the capability to redesign work around AI.

By the end of the course, participants will be able to:

  1. Decide where AI belongs

    Distinguish between work that should remain human-led, be AI-assisted, be automated or be reconsidered more fundamentally.

  2. Prioritise the right opportunities

    Identify processes where AI can create meaningful value, weighing feasibility, risk and the impact on people.

  3. Redesign work from the outcome back

    Rethink cross-functional processes around the business outcome, preserving human judgment where it matters.

  4. Build AI-enabled workflows

    Prototype agent-supported processes and determine where people need to approve, challenge or stop the work.

  5. Anticipate wider consequences

    Consider how process design may affect behaviours, incentives, customers and colleagues before implementation.

  6. Build a credible value case

    Assess the true costs and potential value of the redesigned process, and shape a practical pilot that can be tested and adjusted.

  7. Build support for the design

    Engage business leaders, specialists and affected teams so that the process can move from concept into action.

Course topics

What you will explore

Explore the key areas involved in redesigning business processes around AI.

Deciding Where AI Belongs

  • Distinguish between assisting, automating and redesigning work.
  • Identify where human judgment, relationships and accountability need to remain.

  • Find where AI can create meaningful value across a function or process.
  • Weigh potential gains against feasibility, risk and the impact on people.

  • Start with the desired business outcome and work backward.
  • Reconsider how roles, hand-offs and decisions should work in an AI-enabled process.

  • Prototype agents that support work across teams or departments.
  • Define where human approval, challenge and intervention are required.

  • Explore unintended consequences before implementation.
  • Examine the behaviours and incentives a new process may create.

  • Consider the true cost of operating AI within the redesigned process.
  • Shape a practical pilot that can be tested, reviewed and refined.

  • Build support among business leaders and specialists.
  • Engage affected teams openly about how the work may change.
More than the classroom

Develop insight. Redesign the work. Test the thinking.

The experience combines leadership assessment, structured preparation, three days of in-person learning, workplace application and follow-up support.

  1. Assess & Gain Insight Korn Ferry Leadership Assessment | Online | Two weeks prior to Workshop | 45 minutesGroup Assessment Debrief | One week prior to Workshop | Virtual | 1 hourBegin with a Korn Ferry leadership assessment aligned to the AI-Ready Leader success profile. The facilitated group debrief highlights strengths, development priorities and the leadership capabilities relevant to process innovation and AI-enabled redesign.
  2. Prepare for the Workshop eLearning | Self-directed | Approximately 3 hoursComplete selected pre-work to establish the context and foundations for the three-day workshop.
  3. Build & Practise Your Capability Workshop | In person | 3 days | 9.00am–6.00pmWork through a cross-functional business case from opportunity identification through process redesign and prototype development. Participants use AI extensively to test the design, build agent-supported workflows and explore how the process performs. The focus remains on the business decisions around the technology: where AI adds value, where human judgment stays in control and what the redesigned work means for the people involved.
  4. Apply at Work Workplace application | Self-directedTake the approach back to a relevant business process and use it to examine where AI may create value, how the work could change and what would need to be tested.
  5. Reconnect & Deepen Ask Me Anything | Two weeks post Workshop | Virtual | 1 hourReconnect with the same facilitator to discuss questions and insights that emerge as the thinking is applied to workplace processes.
Who the course is for

For those responsible for improving how work gets done across teams and functions.

AI Architect is relevant to professionals who own, shape or influence business processes and are exploring where AI can create greater value.

Owning cross-functional processes

Improve processes that span multiple teams, hand-offs or decision points.

Examples: Process Owners, Operations Managers, Shared Services and Service Delivery Managers.

Leading process and service improvement

Identify opportunities to rethink workflows and improve how a function delivers.

Examples: Heads of Function, Operational Excellence Leads and Continuous Improvement Leads.

Translating business needs into AI-enabled solutions

Connect business priorities with practical process design and new ways of working.

Examples: Business Analysts, Digital Business Partners, and HR, Finance or Supply Chain Leads.

Participants should already be comfortable using AI in their own work and have some responsibility for shaping processes that extend beyond individual tasks. Deep technical or coding expertise is not required.

What makes this course different

Focused on the business decisions behind AI-enabled process innovation.

Starts with the process, not the technology

Begin by identifying where AI can make a meaningful difference before deciding what to build.

Leadership insight from the outset

Use the Korn Ferry leadership assessment to identify strengths and development priorities relevant to leading process innovation and influencing across boundaries.

Hands-on without requiring coding

Prototype agents and workflows using practical AI tools while concentrating on process design, business judgment and human oversight.

Human accountability stays visible

Build approval points, challenge mechanisms and clear accountability into the process from the beginning.

Value and consequences considered together

Assess potential business value alongside risk, operating cost, workforce impact and unintended consequences.

Built to move from idea to test

Develop a value case and practical pilot approach that can be taken forward after the workshop, with follow-up support through the Ask Me Anything session.

Your facilitator

Learn with an experienced practitioner

Daniel Piatkowski

Daniel Piatkowski

Enterprise Data & AI Leader

LinkedInprofile of Daniel Piatkowski (opens in a new tab)

Daniel Piatkowski is an enterprise data and AI leader with over 15 years of experience in data strategy, advanced analytics, digital transformation and AI adoption. He has held leadership and specialist roles across the telecommunications and technology consulting sectors, bringing extensive experience in designing and implementing data and AI solutions in complex business environments.

His expertise spans enterprise AI strategy, data architecture, process innovation and the practical integration of emerging technologies into business operations. He has worked at the intersection of technology and business, helping organisations translate AI opportunities into scalable solutions that improve operational efficiency, decision-making and business performance.

As a practitioner and facilitator, Daniel brings real-world perspectives on the opportunities and challenges of enterprise AI adoption. He draws on his experience to help participants critically evaluate business processes, identify high-value AI use cases and develop practical approaches to designing and implementing AI-enabled workflows.

Course fees & funding

Your Course Fees

Eligible Singapore Citizens and Permanent Residents may receive up to 90% course fee funding for selected courses. The amount payable depends on whether the course is self-sponsored or company-sponsored and the participant’s eligibility.

Course feeS$4,125 before funding and GST

Course fee payable after funding, by participant eligibility and sponsorship
Participant EligibilitySelf-SponsoredCompany-Sponsored
SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training.Non-SME
Singapore Citizen, aged 40 and aboveSelf-SponsoredS$523.8890% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under the Mid-Career Enhanced Subsidy (MCES) for eligible Singapore Citizens aged 40 and above.Company-Sponsored · SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training.S$523.8890% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under Enhanced Training Support for SMEs (ETSS), where the employer and participant meet the applicable eligibility criteria.Company-Sponsored · Non-SMES$523.8890% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under the Mid-Career Enhanced Subsidy (MCES) for eligible Singapore Citizens aged 40 and above.
Singapore Citizen below 40 / Permanent ResidentSelf-SponsoredS$1,348.8870% funding applied70% Funding AppliedThe displayed fee reflects 70% course fee funding for eligible Singapore Citizens and Permanent Residents, subject to prevailing funding conditions.Company-Sponsored · SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training.S$523.8890% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under Enhanced Training Support for SMEs (ETSS), where the employer and participant meet the applicable eligibility criteria.Company-Sponsored · Non-SMES$1,348.8870% funding applied70% Funding AppliedThe displayed fee reflects 70% course fee funding for eligible Singapore Citizens and Permanent Residents, subject to prevailing funding conditions.
International ParticipantS$4,496.25No government funding
Understanding your funding options

Government Support for Your Learning Journey

Government support is available through course fee subsidies and additional credits. The schemes below explain how eligible individuals and employers may benefit.

Course Fee Funding & Subsidies

These are reflected in the applicable payable fees shown above.

Additional Credits & Support

These may help eligible individuals and employers further offset their remaining training costs.

Course Completion & Certification

  • 75% AttendanceAcross all programme components
  • Pass AssessmentRequired for completion
  • Digital CertificateIssued upon completion
FAQ

AI Architect explained

Who is the AI Architect course for?

AI Architect is intended for professionals who own, shape or influence business processes and need to determine where AI can improve how work gets done.

Typical participants include Process Owners, Operations Managers, Heads of Function, Operational Excellence and Continuous Improvement Leads, Shared Services leaders, Business Analysts, Digital Business Partners, and functional leaders in areas such as HR, Finance and Supply Chain.

No. Coding or specialist technical expertise is not required.

Participants will prototype AI-enabled workflows and agents using practical tools, while the main emphasis is on business process design, judgment, value creation and human oversight.

Participants should already be comfortable using AI in their own work, at around the level developed in AI User: Reinventing Your Work and Impact.

The course is most relevant for those who also own, influence or shape processes that span teams or functions.

The experience includes a Korn Ferry leadership assessment aligned to the AI-Ready Leader success profile and virtual Group Debrief, approximately three hours of pre-work, a three-day in-person workshop, a short post-course assessment, and a virtual Ask Me Anything session approximately two weeks later.

Participants work through a business process from opportunity identification to redesign, prototype development and value case.

This includes mapping and prioritising processes, redesigning a cross-functional workflow, building and testing agent-supported processes, examining unintended consequences and developing a practical pilot proposal.

The core workshop uses a shared business case so participants can work through the full redesign process together.

The approach can then be applied to relevant processes back at work, with the Ask Me Anything session providing an opportunity to discuss what emerges during application.

The course is most relevant to processes that span teams, functions or decision points, particularly where AI could change how work is allocated, coordinated or governed.

Participants learn how to identify where AI can create value before deciding what, if anything, should be redesigned.

Yes. Participants prototype agent-supported workflows during the course.

The emphasis is on how agents fit into the business process, where human judgment and approval need to remain, and how value, risk and accountability are built into the design.

Traditional process improvement typically focuses on improving an existing process.

AI Architect also considers whether AI creates an opportunity to rethink the process more fundamentally – including how work is allocated between people and AI, where decisions sit and whether parts of the process should be redesigned altogether.

General AI training typically develops understanding or proficiency in using AI tools.

AI Architect focuses on deciding where AI belongs within business processes, redesigning how work flows across teams and translating those choices into workable AI-enabled processes.

Participants leave with practical approaches to:

  • distinguish where work should remain human-led, be assisted, automated or redesigned;
  • identify processes where AI can create value;
  • redesign a process from the business outcome backward;
  • prototype AI-enabled workflows with human checkpoints;
  • assess value, risk and operating implications; and
  • shape a practical pilot for further testing.

Upcoming Intakes

Upcoming intakes and key dates
IntakeKey dates
Assessment DebriefWorkshopAsk Me Anything
March 202719 Feb1–3 Mar19 Mar
April 20279 Apr21–23 Apr7 May
September 20273 Sep15–17 Sep1 Oct
AI Capability Series

Four AI responsibilities. Four focused courses.

Different responsibilities call for different capabilities. Explore the course aligned to how participants are expected to contribute in an AI-enabled organisation.

Next steps

Build the capability to redesign work around AI.

Join an upcoming public intake or speak with Korn Ferry Academy about bringing AI Architect: Innovating Business Processes to your organisation.

  • Joining as an individual?Register for the next available public run.
  • Exploring a private run?Share your organisation’s priorities and our team will follow up.