HR Automation Strategies Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends HR Operations Managers, HR Transformation Leaders 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-HM-102

Before you join: Participants should understand core HR processes such as recruitment administration, onboarding, employee records, leave, performance, learning, payroll inputs or case management.

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

HR automation can reduce manual administration, improve service consistency and provide stronger evidence of how employment decisions are made. It can also create new risks when inefficient processes are automated, employee data is poorly governed, or automated recommendations receive insufficient human review. HR leaders need a disciplined method for deciding what to automate, selecting suitable technology, designing controls and proving that promised benefits occur.

This course covers the full automation lifecycle for HR services, from process selection and future-state design through data architecture, platform choices, implementation governance and operational measurement. Participants use SIPOC, swimlane mapping, decision tables, RACI, requirements traceability and benefits-realisation methods to assess automation opportunities. The course addresses HRIS workflows, robotic process automation, low-code tools, self-service portals, integrations, generative AI and algorithmic decision support. Particular attention is given to employee-data privacy, access controls, audit trails, bias testing and human oversight.

Instruction combines concise briefings with sector-based cases drawn from shared services, banking, public administration, healthcare and multinational HR operations. Participants work through automation decisions involving onboarding, leave management, employee records, recruitment coordination, payroll inputs and case management. They leave with a reusable HR automation strategy pack containing a prioritised initiative backlog, process-design artefacts, governance controls, implementation roadmap and KPI scorecard.

The course is suited to HR professionals who lead service improvement, HR technology change, people analytics, shared services or HR operations. It also supports IT, risk and transformation specialists working with HR teams on automation programmes.

What you will be able to do

  • Assess HR processes using value, volume, variability, risk and feasibility criteria
  • Map current and future HR workflows using SIPOC and swimlane diagrams
  • Design automation requirements, decision rules and exception-management controls
  • Specify HR data, integration, access and audit-trail requirements
  • Evaluate HRIS, RPA, low-code and AI options using structured selection criteria
  • Apply privacy, security and responsible AI controls to automated HR services
  • Plan an HR automation implementation using roadmap, RACI and change-management methods
  • Measure automation benefits using KPI trees, scorecards and benefits-realisation registers

Benefits of attending

For you

  • Build credible HR automation business cases with defensible assumptions
  • Translate HR policy into workflow rules and controlled exceptions
  • Assess vendor claims using structured technology selection criteria
  • Lead privacy and responsible AI discussions with HR, IT and legal teams
  • Present a prioritised automation roadmap to senior decision-makers

For your organisation

  • Reduces manual HR transaction handling and avoidable rework
  • Improves consistency of approvals, records and employee service responses
  • Strengthens controls over employee data, access rights and audit evidence
  • Prioritises automation investment against measurable operational benefits
  • Establishes governance for AI-supported HR processes and automated decisions

Course modules

10 modules over 5 days

Participants can identify, assess and prioritise HR automation opportunities against operational and control criteria.

  • HR service catalogue mapped to employee journeys and transaction volumes
  • Process selection matrix weighing value, volume, variability, risk and feasibility
  • Automation portfolio balanced across quick wins, foundational work and strategic bets
  • Baseline cycle time, touchpoints, error rates and service-level performance
  • Business case assumptions for cost, capacity, quality and compliance benefits
  • RACI decision rights for HR, IT, security, legal and vendors

Participants can map HR processes and design controlled future-state workflows before automation begins.

  • SIPOC boundaries clarify suppliers, inputs, process steps, outputs and customers
  • Swimlane maps expose handoffs, queues, rework and approval bottlenecks
  • Standard work defines rules, exceptions, ownership and evidence requirements
  • Decision tables translate policy conditions into configurable workflow logic
  • Future-state design removes non-value-added steps before automating them
  • Process-mining event logs validate actual paths against documented procedures

Participants can define the data and integration requirements needed for reliable HR automation.

  • HR data model aligns worker, position, organisation and employment entities
  • Master-data ownership prevents duplicate records and conflicting system values
  • API, file and middleware integration patterns matched to data latency needs
  • Data-quality rules test completeness, validity, uniqueness, timeliness and consistency
  • Identity matching resolves employee identifiers across payroll, benefits and learning systems
  • Interface controls reconcile records, failures, retries and exception queues

Participants can evaluate automation technologies and suppliers against HR service requirements.

  • Requirements traceability matrix connects user needs, controls and acceptance criteria
  • Build-buy-configure assessment distinguishes HCM workflow, RPA, low-code and SaaS options
  • Vendor due diligence examines roadmap, support, interoperability, security and exit terms
  • Proof-of-concept success measures test usability, accuracy, throughput and control performance
  • Total cost of ownership includes licences, implementation, support and change costs
  • Configuration governance controls roles, releases, test evidence and production access

Participants can apply privacy, security and audit controls to automated HR processes.

  • GDPR lawful-basis and purpose-limitation tests shape employee-data processing
  • Data-protection impact assessments address high-risk automated HR processing
  • Role-based access control separates request, approval, administration and audit duties
  • Retention schedules govern personnel files, candidate records and workflow evidence
  • Audit trails capture decisions, overrides, timestamps and accountable users
  • Automated decision safeguards provide notice, review routes and human intervention

Participants can assess AI-enabled HR use cases and establish appropriate human oversight.

  • AI use-case triage separates assistance, prediction, recommendation and decision automation
  • NIST AI RMF functions frame governance, mapping, measurement and management
  • Bias testing compares selection outcomes across relevant demographic groups
  • Human-in-the-loop controls define escalation thresholds, review authority and overrides
  • Prompt and output controls protect confidential employee information in generative AI
  • Model monitoring tracks drift, error patterns, complaints and adverse impacts

Participants can plan controlled automation implementation, adoption and transition activities.

  • Implementation roadmap sequences dependencies, releases, pilots, training and hypercare
  • Stakeholder analysis identifies sponsors, process owners, users, works councils and unions
  • ADKAR change plan addresses awareness, desire, knowledge, ability and reinforcement
  • Communications matrix specifies audiences, messages, channels, timing and feedback routes
  • User acceptance testing scripts cover happy paths, exceptions and control failures
  • Cutover checklist governs data migration, approvals, contingencies and support coverage

Participants can design service ownership, support arrangements and exception routes for automated HR services.

  • HR shared-services operating model assigns tiered support and escalation ownership
  • Knowledge articles standardise employee self-service guidance and case resolution
  • Service-level agreements define response targets, resolution targets and reporting commitments
  • Exception management routes policy deviations, failed transactions and manual interventions
  • Workforce capacity model converts transaction demand into staffing requirements
  • Vendor service reviews assess incidents, backlog, releases and contractual performance

Participants can measure automation performance and track realised operational benefits.

  • Automation KPI tree links adoption, speed, quality, cost and employee experience
  • Baseline-and-target scorecards distinguish planned benefits from realised results
  • Control dashboards monitor exceptions, access violations, overdue approvals and rework
  • Employee experience measures combine task completion, effort scores and sentiment
  • Benefits-realisation register assigns owners, evidence sources, dates and corrective actions
  • Monthly governance packs support prioritisation, risk decisions and investment review

Participants can produce a practical automation roadmap for their own HR service priorities.

  • Automation maturity assessment scores process, data, technology, governance and people
  • Prioritised backlog ranks initiatives using value, feasibility, risk and dependency criteria
  • 90-day action plan assigns milestones, owners, resources and decision gates
  • Operating-model choices align central HR, business partners, IT and service centres
  • Executive narrative presents benefits, controls, costs, trade-offs and implementation sequence
  • Personal application commitments identify first decisions, stakeholders and evidence needed

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

What you take back to work

  1. HR automation opportunity assessment matrix
  2. Future-state workflow and decision-table template
  3. HR automation requirements traceability matrix
  4. Privacy, security and responsible AI control checklist
  5. Automation implementation roadmap and RACI template
  6. Benefits-realisation scorecard and governance pack

Who should attend

  • HR Operations Managers — responsible for improving service quality, cost and control
  • HR Transformation Leaders — leading HR technology and operating-model change
  • HRIS Managers — translating service requirements into configured workflows and integrations
  • Shared Services Leaders — managing transaction volumes, case handling and self-service adoption
  • People Analytics Managers — governing data, automated insights and responsible AI use
  • IT and Digital Transformation Managers — delivering automation with HR process owners

Skills and tools covered

HR process automationWorkflow designHR data governanceAutomation risk controlsTechnology evaluationBenefits realisation

Tools and standards

BPMN 2.0, RACI matrix, NIST AI Risk Management Framework, GDPR

How the course runs

Training methodology

The course uses short instructor briefings, guided analysis, case work, group exercises, simulations and application planning. Participants examine realistic HR automation scenarios, including onboarding bottlenecks, payroll input errors, recruitment workflow delays, employee-data requests and AI-assisted case handling. They apply process maps, decision tables, risk controls and selection criteria to make implementation decisions. Facilitated discussion compares approaches across public sector, banking, healthcare, NGO and multinational settings. The final sessions focus on adapting the methods to each participant's HR service priorities.

Requirements and prerequisites

Participants should understand core HR processes such as recruitment administration, onboarding, employee records, leave, performance, learning, payroll inputs or case management. Experience working with an HRIS, service centre, workflow tool, transformation programme or process-improvement initiative is useful. Participants should be comfortable discussing process maps, data fields, approval steps and operational measures with HR and IT colleagues. No programming, systems configuration, data science, procurement certification or prior robotic process automation experience is required. The course does not assume expertise in a specific HR platform.

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

You should understand common HR processes and have some exposure to HR operations, HR technology, service delivery or improvement work. You do not need programming, HRIS configuration or data science experience.

Bring examples of HR processes, service issues or automation ideas relevant to your role, if your organisation permits this. Remove confidential employee data, commercial terms and personally identifiable information from any materials.

The course is designed for HR operations, HR transformation, HRIS, shared services, people analytics and digital transformation professionals. It is also relevant to risk, compliance and IT specialists supporting HR automation programmes.

This course focuses on automation strategy, process design, governance, controls, implementation planning and benefits measurement. It does not teach configuration steps for a specific HR platform or programming for an RPA product.

Participants can use the templates to assess candidate processes, prepare a business case, define requirements and establish implementation controls. The final module helps translate course methods into a 90-day action plan.

The five-day programme provides approximately 32.5 contact hours, normally delivered from 08:30 to 16:30 each day. Time is divided across ten modules covering strategy, design, data, technology, controls, implementation, operations and measurement.

Questions about this course?

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

Ask on WhatsApp info@skillsetdevelopment.com

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