Course Introduction
The ESG Financial Reporting and Assurance Training Course provides a practical framework for understanding, preparing, reviewing, auditing, and assuring environmental, social, and governance information that has financial, operational, risk, and reporting implications. The course focuses on ESG data quality, governance, internal controls, financial impacts, reporting processes, assurance evidence, and the reliability of sustainability-related information.
The course examines how environmental, social, and governance matters can affect financial performance, financial position, cash flows, enterprise value, risk exposure, investment decisions, and long-term business strategy. Participants learn how to connect ESG information with accounting records, budgets, forecasts, asset values, provisions, impairment assessments, capital expenditure, operating costs, financing arrangements, and other areas relevant to financial reporting and assurance.
A major component of the training focuses on ESG data governance and control frameworks. Participants examine data ownership, collection methodologies, definitions, measurement boundaries, source systems, documentation, validation, reconciliations, approvals, and reporting controls. They learn how to assess whether ESG information is complete, accurate, consistent, traceable, comparable, and supported by appropriate evidence.
The course also addresses climate-related financial risks, resource consumption, emissions, workforce matters, supply-chain risks, governance practices, business resilience, and other sustainability factors that may affect financial statements and management decisions. Participants develop practical procedures for evaluating assumptions, estimates, metrics, targets, commitments, scenario information, and disclosures while maintaining professional skepticism and evidence-based assurance.
Modern ESG reporting increasingly relies on automated data collection, enterprise systems, environmental monitoring platforms, supply-chain databases, cloud applications, analytics, and artificial intelligence. The course therefore incorporates technology-enabled assurance, data analytics, automated controls, digital evidence, cybersecurity, data lineage, ESG reporting systems, and emerging risks associated with technology-driven sustainability information.
Through practical exercises and case studies, participants develop the ability to assess ESG reporting processes from data generation and control design through financial impact assessment, reporting, assurance, management review, and remediation. The course emphasizes risk-based assurance, financial reporting connections, data integrity, control effectiveness, analytical procedures, evidence evaluation, professional skepticism, and practical recommendations that strengthen the credibility and usefulness of ESG-related financial information.
Duration
5 days
Who Should Attend
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Finance directors, financial controllers, and accounting professionals responsible for ESG-related financial information.
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Internal auditors assessing ESG reporting processes, controls, risks, and financial implications.
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External auditors and assurance professionals involved in ESG and sustainability-related engagements.
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Sustainability and ESG reporting managers responsible for data collection, reporting, and disclosure processes.
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Risk managers assessing climate, environmental, social, governance, and enterprise risks.
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Compliance professionals monitoring ESG reporting requirements and organizational policies.
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Investor relations professionals communicating ESG-related financial and performance information.
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Corporate governance professionals supporting board and audit committee oversight of ESG matters.
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Financial analysts evaluating ESG factors and their potential impact on financial performance and valuation.
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Environmental and sustainability specialists working with financial, operational, and ESG data.
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Data governance professionals responsible for ESG data quality, lineage, ownership, and controls.
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IT auditors assessing sustainability reporting systems, automated controls, and digital ESG data environments.
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Procurement and supply-chain professionals addressing ESG information arising from suppliers and contractors.
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Risk and assurance professionals developing ESG control frameworks and assurance procedures.
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Managers and professionals seeking practical skills in ESG financial reporting, control assessment, and assurance.
Course Objectives
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Develop a comprehensive understanding of ESG information and its relationship with financial reporting, risk management, governance, and business performance.
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Identify environmental, social, and governance matters that may create financial reporting risks, valuation effects, liabilities, costs, opportunities, or disclosures.
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Evaluate ESG data governance frameworks covering ownership, definitions, boundaries, collection methods, validation, approval, and reporting responsibilities.
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Assess the completeness, accuracy, consistency, reliability, traceability, and comparability of ESG information used in financial and sustainability reporting.
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Apply assurance procedures to ESG metrics, targets, estimates, assumptions, disclosures, management information, and supporting source documentation.
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Evaluate climate-related and other sustainability risks affecting assets, liabilities, cash flows, capital expenditure, operating costs, financing, and financial forecasts.
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Assess internal controls over ESG reporting, including data capture, system interfaces, reconciliations, review controls, approvals, and management oversight.
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Apply data analytics and technology-assisted assurance to identify anomalies, inconsistent ESG data, unusual trends, reporting gaps, and control exceptions.
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Strengthen professional skepticism and evidence evaluation when reviewing estimates, sustainability claims, targets, scenarios, commitments, and management assertions.
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Develop evidence-based assurance findings and recommendations that improve ESG reporting quality, financial transparency, governance, controls, and stakeholder confidence.
Comprehensive Course Outline
Module 1: ESG Financial Reporting and Assurance Fundamentals
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Understanding environmental, social, and governance information and its relevance to financial reporting and organizational decision-making.
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Mapping ESG information flows from operational activities and source systems through data processing, management review, reporting, and assurance.
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Identifying financial, reporting, data-quality, governance, compliance, reputational, and operational risks associated with ESG information.
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Developing a risk-based ESG assurance approach aligned with material financial and reporting considerations.
Module 2: ESG Governance, Accountability, and Control Frameworks
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Evaluating board, management, finance, sustainability, risk, compliance, internal audit, and operational responsibilities for ESG reporting.
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Establishing ESG policies, reporting governance, data ownership, accountability, approval structures, and escalation mechanisms.
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Assessing control frameworks over ESG data collection, processing, validation, reconciliation, consolidation, and reporting.
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Testing management review controls, documentation standards, reporting calendars, evidence retention, and governance oversight.
Module 3: ESG Data Governance, Quality, and Evidence
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Evaluating ESG data definitions, organizational boundaries, reporting periods, measurement methodologies, source systems, and data ownership.
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Testing ESG data for completeness, accuracy, consistency, validity, timeliness, traceability, and appropriate aggregation.
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Reviewing source documentation, meter readings, invoices, operational records, workforce information, supplier data, and other evidence supporting ESG metrics.
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Assessing data reconciliations, manual adjustments, estimation procedures, data transformations, and controls over changes to reported ESG information.
Module 4: Environmental and Climate-Related Financial Information
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Assessing how climate and environmental risks can affect assets, liabilities, cash flows, costs, investments, financing, and financial forecasts.
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Auditing energy consumption, emissions information, resource usage, environmental expenditure, environmental provisions, and related financial data.
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Evaluating climate-related assumptions, scenarios, targets, transition plans, physical risk information, and potential financial statement implications.
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Testing consistency between environmental information, operational data, budgets, capital expenditure plans, financial forecasts, and reported financial information.
Module 5: Social Information and Financial Reporting Implications
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Evaluating workforce information covering employees, compensation, benefits, health and safety, training, turnover, and workforce-related risks.
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Assessing social factors affecting operating costs, employee obligations, business continuity, productivity, reputation, and financial performance.
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Auditing social data obtained from human resources, payroll, procurement, supply-chain, and operational systems for completeness and accuracy.
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Evaluating controls over workforce metrics, supplier-related social information, community programs, human-rights data, and related financial disclosures.
Module 6: Governance Information, Risk, and Financial Controls
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Assessing governance structures, ethics, compliance, anti-fraud controls, board oversight, executive accountability, and governance-related reporting.
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Evaluating information concerning corruption risks, conflicts of interest, whistleblowing, compliance matters, control deficiencies, and governance incidents.
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Testing governance-related financial impacts, provisions, legal exposures, remediation costs, penalties, and other accounting implications.
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Reviewing consistency between governance disclosures, internal control assessments, risk registers, audit findings, compliance records, and financial reporting.
Module 7: ESG Metrics, Estimates, Targets, and Disclosures
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Evaluating ESG metrics, performance indicators, targets, commitments, baselines, methodologies, and measurement assumptions.
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Applying substantive and analytical procedures to significant ESG disclosures and assessing whether reported information is supported by reliable evidence.
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Reviewing estimation uncertainty, management judgment, scenario assumptions, forecasts, targets, and changes in measurement methodologies.
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Assessing consistency between ESG disclosures, management commentary, financial statements, operational reports, investor communications, and other public information.
Module 8: Technology, Data Analytics, AI, and Digital ESG Assurance
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Auditing ESG reporting platforms, environmental monitoring systems, ERP applications, HR systems, procurement platforms, and sustainability data repositories.
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Evaluating automated data collection, system interfaces, APIs, data transformations, dashboards, workflows, and controls over digital ESG reporting.
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Applying data analytics to identify anomalies, missing information, inconsistent metrics, unusual trends, duplicate records, and unexplained data changes.
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Assessing artificial intelligence, automated reporting, cloud platforms, digital evidence, cybersecurity, data privacy, and emerging technology risks affecting ESG assurance.
Module 9: ESG Assurance Evidence, Analytical Procedures, and Reporting Quality
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Designing assurance procedures using inspection, observation, recalculation, reperformance, confirmation, analytical procedures, and source-data validation.
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Evaluating evidence sufficiency, reliability, relevance, traceability, documentation, and linkage between reported ESG information and underlying records.
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Assessing the relationship between ESG information and financial statement assertions, management estimates, risk assessments, and financial disclosures.
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Documenting exceptions, control deficiencies, data limitations, estimation uncertainty, root causes, assurance conclusions, and recommendations.
Module 10: ESG Assurance Reporting, Remediation, and Practical Case Studies
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Preparing assurance findings that clearly connect ESG reporting weaknesses, financial implications, control deficiencies, evidence, and underlying causes.
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Applying practical case studies involving emissions data, workforce metrics, supplier information, climate risks, ESG targets, and financial reporting impacts.
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Developing corrective actions covering ESG governance, data quality, controls, technology, documentation, financial reporting, and management oversight.
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Performing remediation validation, follow-up, continuous monitoring, management reporting, governance communication, and ESG assurance improvement.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
