Future of Work Masterclass Training Course

Duration 5 days 10 modules · 33 contact hours
Level Advanced Certificate on completion
Who attends Chief Human Resources Officers, Organisational Development Directors and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-OD-012

Before you join: Participants should have substantial experience in HR, organisational development, workforce planning, transformation, strategy or business operations.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Senior HR and organisational development leaders are being asked to redesign work while maintaining service quality, risk control, employee trust and cost discipline. Hybrid work, automation, AI-enabled processes, skills shortages and changing employee expectations create interdependent choices about operating models, workforce size, job design, management practices and talent markets. Many transformation programmes underperform because technology, workforce planning and change adoption are treated as separate workstreams rather than one business-led redesign agenda.

This advanced masterclass equips participants to lead workforce transformation from strategic diagnosis through implementation governance. Participants examine future-of-work signals, construct workforce scenarios, define target operating models, segment critical work, design skills-based workforce approaches and set hybrid work principles. The course also addresses AI-related work redesign, internal talent marketplaces, contingent workforce strategy, employee listening, people analytics and responsible workforce decisions. Participants learn to connect workforce choices to value creation, customer outcomes, productivity, workforce risk and organisational capability.

Teaching combines focused expert briefings with sector-based case work, peer challenge, facilitated design sessions and decision simulations. Cases reflect issues faced by banks, public bodies, multinationals, NGOs and regulated employers, including branch network redesign, shared-services consolidation, digital service delivery and scarce-skills planning. Participants leave with a practical workforce transformation blueprint, including a future-state operating model, workforce scenario set, work-and-skills analysis, change architecture and implementation roadmap.

The course is best suited to senior HR, OD, transformation and business leaders who influence enterprise workforce decisions. It is designed for practitioners who need to move beyond policy discussions and produce credible, evidence-based choices for executive sponsors and business-unit leaders.

What you will be able to do

  • Construct workforce scenarios using strategic assumptions, labour-market data and leading indicators
  • Design a target operating model linking customer value, work design, governance and workforce capacity
  • Diagnose critical work through task decomposition, role analysis and skills segmentation
  • Develop a skills-based workforce plan covering build, buy, borrow, bot and redeploy decisions
  • Establish hybrid work principles using role suitability, service requirements and employee experience evidence
  • Assess AI-enabled work redesign using task exposure, control points and human oversight criteria
  • Build a workforce transformation business case with benefits, costs, risks and measurable outcomes
  • Create an implementation roadmap with change governance, adoption measures and decision milestones

Benefits of attending

For you

  • Greater credibility when advising executives on workforce transformation choices
  • A repeatable method for linking strategy, work design and skills demand
  • Stronger challenge skills for vendor-led automation and workplace technology proposals
  • Practical evidence frameworks for difficult hybrid work and location decisions
  • A portfolio-quality transformation blueprint for immediate workplace application

For your organisation

  • Clearer workforce choices tied to strategic value, service outcomes and affordability
  • Reduced transformation risk through integrated work, skills, technology and change planning
  • Better targeting of automation toward suitable tasks, controls and employee transition needs
  • More reliable critical-skills decisions across hiring, reskilling, redeployment and external talent
  • Stronger executive governance through measurable benefits, assumptions and decision milestones

Course modules

10 modules over 5 days

Participants can turn strategic uncertainty into credible workforce scenarios and executive decision signals.

  • STEEP and industry signals translated into plausible workforce scenarios
  • Scenario planning distinguishes predetermined elements, critical uncertainties, and leading indicators
  • Future-back analysis connects strategic intent with workforce implications
  • Labour-market intelligence tests supply, demand, mobility, and location assumptions
  • Workforce transformation thesis links value pools, work, skills, and capacity
  • Assumption registers assign owners, evidence sources, review dates, and trigger thresholds
  • Board-level narratives frame uncertainty without false precision or technology determinism

Participants can define target operating model choices that align work, accountability, technology and capacity.

  • Operating Model Canvas maps value delivery, capabilities, processes, governance, and workforce
  • Customer journeys identify moments where work redesign changes service outcomes
  • Decision-rights matrices clarify enterprise, business-unit, function, and team accountabilities
  • Span-of-control analysis tests managerial capacity under redesigned service models
  • Shared services, centres of excellence, and product teams compared systematically
  • Organisation layers assessed against decision speed, coordination cost, and accountability
  • Target-state design principles resolve tensions between standardisation, autonomy, and local responsiveness

Participants can build workforce plans that connect strategic demand, capacity requirements and workforce supply.

  • Demand forecasting converts strategic initiatives into workload, capability, and capacity requirements
  • Supply analysis profiles headcount, skills, tenure, location, cost, and attrition
  • Build-buy-borrow-bot-redeploy choices structure workforce supply responses
  • Critical-role segmentation prioritises positions with disproportionate value or risk
  • Capacity models distinguish productive hours, utilisation, shrinkage, and contingency cover
  • Workforce gaps quantified through scenario-based demand and supply comparisons
  • Action portfolios sequence hiring, reskilling, redeployment, outsourcing, and automation interventions

Participants can redesign work and job architecture around skills, outcomes and sustainable performance.

  • Task decomposition separates automated, augmented, retained, and eliminated work activities
  • Job Demands-Resources model assesses workload, autonomy, support, and burnout risk
  • Skills taxonomies distinguish foundational, technical, functional, and transferable capabilities
  • Role architecture links accountabilities, decision rights, skills, levels, and career pathways
  • Skills adjacency analysis identifies credible reskilling and internal mobility routes
  • Outcome-based role design reduces unnecessary handoffs, approvals, and duplicated effort
  • Career lattices replace narrow progression assumptions for scarce and emerging skills

Participants can set evidence-based hybrid work principles that protect performance, fairness and connection.

  • Role suitability assessments distinguish location flexibility from work-time flexibility
  • Team charters define coordination norms, response expectations, and collaboration rhythms
  • Proximity bias risks tested through promotion, performance, and access data
  • Workplace portfolios align space utilisation, collaboration needs, security, and cost
  • Employee journey mapping identifies friction across remote, onsite, and mobile work
  • Fairness tests compare flexibility access across roles, grades, locations, and demographics
  • Manager routines support inclusion, accountability, wellbeing, and distributed team cohesion

Participants can assess AI and automation opportunities while defining human controls, roles and transition needs.

  • Task exposure analysis estimates automation potential, augmentation value, and implementation complexity
  • Human-in-the-loop controls define review thresholds, escalation routes, and accountability
  • Process mining evidence identifies rework, bottlenecks, exceptions, and automation candidates
  • AI use cases assessed for data quality, bias, privacy, and explainability
  • Work redesign specifies changed tasks, skills, workloads, controls, and role impacts
  • Transition plans address redeployment, reskilling, consultation, and knowledge retention
  • Technology benefits tracked against service quality, risk, productivity, and employee experience

Participants can design talent ecosystem choices for scarce skills, variable demand and organisational resilience.

  • Talent ecosystem maps employees, contractors, partners, alumni, and specialist providers
  • Make-buy-borrow decisions evaluate speed, cost, capability control, and workforce risk
  • Internal talent marketplaces match projects with verified skills and development goals
  • Strategic workforce segmentation differentiates scarce expertise from scalable transactional capacity
  • Vendor governance defines outcomes, intellectual property, security, and knowledge-transfer requirements
  • Location strategy balances talent availability, labour cost, resilience, and regulatory constraints
  • Succession risk analysis identifies fragile capabilities, single points, and retention exposures

Participants can establish change architecture that converts workforce design decisions into sustained adoption.

  • ADKAR assessments identify awareness, desire, knowledge, ability, and reinforcement barriers
  • Stakeholder mapping distinguishes sponsors, influencers, impacted groups, and resistance sources
  • Change impact assessments connect operating-model choices with role-level consequences
  • Sponsor roadmaps specify visible actions, decision forums, communications, and escalation routes
  • Consultation planning addresses employee representatives, legal obligations, and trust risks
  • Capability academies combine role pathways, practice opportunities, coaching, and certification
  • Adoption metrics track behaviour change, proficiency, sentiment, and business outcomes

Participants can use workforce evidence to test transformation assumptions, risks and equity implications.

  • Workforce dashboards connect capacity, skills, mobility, engagement, and performance measures
  • ISO 30414 indicators support consistent human capital reporting and data definitions
  • Cohort analysis identifies attrition, progression, retention, and capability-development patterns
  • Scenario sensitivity testing reveals workforce plan exposure to changing assumptions
  • Algorithmic decision reviews assess bias, transparency, contestability, and human accountability
  • Data governance defines purpose limitation, access controls, retention, and consent requirements
  • Workforce risk registers connect people exposures with operational and strategic consequences

Participants can produce a governed implementation roadmap for a priority workforce transformation initiative.

  • Benefits maps link workforce interventions with financial, service, risk, and capability outcomes
  • Business cases distinguish one-time investment, recurring cost, avoided cost, and productivity
  • Transformation governance defines sponsor roles, decision gates, workstreams, and escalation
  • Milestone plans sequence diagnostic evidence, design choices, pilots, scale-up, and reinforcement
  • Pilot criteria test feasibility, adoption, equity, customer impact, and measurable value
  • Balanced scorecards track leading indicators alongside outcome and risk measures
  • Ninety-day application plans assign priorities, stakeholders, evidence needs, and next decisions

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Workforce transformation thesis template
  2. Scenario planning assumption register
  3. Target operating model canvas
  4. Work-and-skills segmentation analysis
  5. Hybrid work decision checklist
  6. Ninety-day transformation roadmap

Who should attend

  • Chief Human Resources Officers — setting enterprise workforce and operating model priorities
  • Organisational Development Directors — designing organisation-wide work, structure and capability changes
  • Workforce Planning Leaders — translating business strategy into capacity, skills and location decisions
  • HR Transformation Directors — governing major technology, process and people transformation programmes
  • Business Transformation Leaders — aligning operating model redesign with workforce adoption requirements
  • People Analytics Leaders — producing workforce evidence for executive workforce decisions

Skills and tools covered

Workforce scenario planningOperating model designSkills-based workforce planningHybrid work designAI work redesignTransformation governance

Tools and standards

Operating Model Canvas, ADKAR change model, ISO 30414, Job Demands-Resources model

How the course runs

Training methodology

The programme uses short faculty briefings to introduce methods, followed by case analysis, small-group design work, executive decision simulations and structured peer review. Participants apply frameworks to realistic workforce transformation choices, such as service-model redesign, hybrid work policy, automation deployment and scarce-skills planning. Facilitated discussions test assumptions, trade-offs and stakeholder responses. Each participant progressively develops an application plan for a current organisational issue, receiving faculty feedback on evidence, logic, governance and implementation sequencing.

Requirements and prerequisites

Participants should have substantial experience in HR, organisational development, workforce planning, transformation, strategy or business operations. They should understand their organisation’s business model, workforce structure, major talent constraints and current transformation priorities. Familiarity with headcount planning, organisational design, change management or people analytics is useful, but specialist statistical modelling or data science expertise is not required. Participants do not need prior experience with AI deployment, scenario planning software or formal consulting methods. The course assumes readiness to discuss real organisational choices at senior stakeholder level.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

The course is designed for experienced HR, OD, workforce planning, transformation and business leaders. Participants should understand their organisation’s strategy and workforce issues, but do not need specialist data science, AI or consulting experience.

Bring a current workforce, operating model, hybrid work or transformation issue that needs senior-level decisions. Participants may also bring non-confidential workforce data, organisation charts, strategic plans or transformation materials for use during application planning.

It suits leaders responsible for enterprise workforce choices rather than solely operational HR delivery. Senior practitioners from HR, OD, transformation, strategy, operations and people analytics will benefit most.

Organisational design courses often focus on structure, roles and governance, while change management courses focus on adoption. This masterclass integrates those disciplines with strategic workforce planning, skills, hybrid work, technology-driven work redesign and workforce economics.

Participants leave with reusable templates and a structured application plan for a live organisational issue. The methods can support executive papers, workforce plans, operating model reviews, automation proposals and transformation governance discussions.

The five-day programme provides approximately 32.5 contact hours, normally from 08:30 to 16:30 each day. Time is divided between faculty input, case work, group analysis, decision simulations, peer challenge and individual application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.