Overview:
Auditing today demands agility, accuracy, and efficiency. Yet many audit teams remain dependent on traditional tools, spreadsheets, or programming-heavy environments like Python and R, which require steep learning curves, coding fluency, and significant maintenance efforts. This training takes a different path: it demonstrates how auditors can achieve the same level of sophistication ??? and more ??? through a no-code environment powered by KNIME and AI integration.
Over 40 hours of structured, hands-on sessions, participants will progress from absolute fundamentals of KNIME to creating production-ready audit workflows. Each session builds step by step: beginning with data access, cleaning, and visualisation; advancing into workflow automation; and culminating in AI-powered applications such as anomaly detection, fraud flagging, and compliance dashboards. Exercises mirror real-world tasks auditors face ??? reconciling bank statements, detecting irregular transactions, automating reports, and producing interactive dashboards ??? all designed and executed without a single line of code.
The program emphasises transparency and audit-readiness at every stage. Unlike coding-based environments, where logic often remains hidden in scripts, KNIME???s visual workflows provide complete visibility, governance, and reusability. Participants will leave with practical skills and reusable audit workflows to apply immediately in their professional context.
This is not just technical training; it is a rethinking of what audit analytics can be: accessible, efficient, AI-enabled, and completely code-free.???
Learning Outcomes:
By the end of this training, participants will be able to:
Explain the AI/ML & no-code landscape for audit - benefits, limits, and when to escalate to Python/R.
Translate audit risks into analytics objectives - link procedures to assertions and audit phases with clear success criteria.
Scope realistic audit use cases & manage expectations - select from a use-case menu, define in-scope/out-of-scope, data needs, and target outcomes.
Acquire multi-source audit data with lineage - connect to Excel/CSV/PDF/ERP/DB and record provenance.
Prepare audit-ready datasets - profile, clean, de-duplicate, standardise, and structure data using reusable no-code components.
Explore and visualise for audit insight - perform EDA, surface anomalies/trends, and produce stakeholder-ready visuals as evidence supplements.
Automate audit procedures in KNIME - build parameterised, reusable workflows; schedule refreshes, reconciliations, and checks via Data Apps with audit trails.
Apply AI/ML responsibly without coding - configure anomaly detection and ML, evaluate precision/recall and false-positive load, and explain results.
Govern analytics & manage model risk - ensure evidence sufficiency, reproducibility, privacy, bias checks, versioning, and change control.
Deliver and defend an end-to-end capstone - build a production-ready workflow (data - analytics/AI - automation - dashboard), validate it, and present to a mock engagement partner/audit committee.
Founder & CEO
Bizware Private Limited
Adjunct Faculty at SDSB (LUMS)
Abdul Rauf is a Fellow Chartered Accountant (FCA) from the Institute of Chartered Accountants of Pakistan (ICAP) and holds an Executive MBA. With over 20 years of experience in business advisory, professional consulting, and education, he serves as the Founder and CEO of Bizware Private Limited, a provider of business and financial management solutions, and Evolve Learning Hub, an innovative education enterprise pioneering live, simulation-based learning for accounting and finance professionals.
MS in Marketing, Mohammad Ali Jinnah University (MAJU), Pakistan
MBA in Marketing, Institute of Business Administration (IBA), Karachi, Pakistan
Application Process:
Participants must register online through the CES website by clicking on their desired course and filling out a one-page form. Before starting the registration process, please ensure that you have the following:
- A passport-sized photograph for the CES smartcard. It should be against a white background.
- Correct CNIC details.
Incorrect information provided during the registration process will lead towards cancellation of your enrolment at any stage, and participants will not be entitled to claim a refund.
Once you have completed your online registration, you may proceed to the payment section. You have two options:
1. Pay online using your bank debit/credit cards through LUMS online payment system https://pay.lums.edu.pk
2. Download the fee voucher and deposit cash in any branch of the designated banks specified on the fee voucher.
Once the payment has been made, you will receive a confirmation email within 24 to 48 working hours, and your payment status will be updated to "ENROLLED" in the online application portal.
Installment:
KalPay
Taleem offers monthly installments for all CES on-campus courses and workshop
fees. For more details, contact via WhatsApp at 0328 3044414 (working hours -
9:30 AM to 6:00 PM), or visit taleem.portal.kalpayfinancials.com/sign-up to
apply!
Note: CES may cancel or postpone a course due to insufficient enrolment or unforeseen circumstances. In this case, the university will refund registration/processing fee (if any) but will not be responsible for any other related charges/expenses including cancellation/change charges by airline and travel agencies.
Please go through Policies & Code of Conduct