Finance Rewired | AI & Automation Masterclass — ADN Group × M A Fazal & Co.
M A FAZAL & CO. × ADN GROUP
—
One-day masterclass  /  Finance, Accounts, Tax & VAT, Billing & Revenue, Treasury

FinanceRewired

Eighteen of you told us what slows the work down. This day is built line by line from those answers — and you leave with one real task that now takes minutes instead of hours.

Date
Saturday, 01 August 2026One day Training
Hours
10:00 — 18:006 hrs 45 min contact time
In the room
18 professionals5 functions, 5 group companies
Venue
ADN Group training roomBring a charged laptop
01

Why we are here

Opening session  ·  10:00–10:30

Most of you are already using AI. That is not the question any more. The question is whether it is being used consistently, safely and in a way a reviewer can stand behind — because a finance function cannot run on techniques that live in one person's head and vary from desk to desk.

Today closes that gap. Same methods, same safety rules, same quality checks, applied to the work you actually do: reporting, reconciliation, spreadsheets, MIS, cash flow, VAT support and the writing that surrounds all of it.

The promise of the day

By 6:00 PM you will have your tools set up correctly, a prompt library in your own words, and one repetitive task you can finish in minutes rather than hours — all inside ADN Group's data-security boundaries.

Not this

A tour of AI products

No vendor demos, no feature lists. Tools change every quarter; method does not.

Not this either

Theory you cannot use Monday

Every technique is practised on finance work, on your own laptop, during the session.

This

A working method you own

Prompts, checks, safety rules and one built automation that survives the day.

02

Built from your answers

Pre-training survey  ·  18 responses received 29 June 2026
16/18
are already using a generative AI assistant. So the day does not start at "what is AI". It starts at what good use looks like in a finance function, and where the line is.

Schedule of learning requirements

Financial reportingHighest-priority requirement
89%
Spreadsheet & Excel automationTop-tier productivity requirement
83%
Bank reconciliationTop-tier recurring control task
78%
Tax & VAT applicationsStrong functional requirement
72%
Dashboards & MISStrong management-reporting requirement
72%
Prompt writingCore enabling skill
72%
Data cleaning & preparationFoundation for reliable output
61%
Base: 18 respondents · multiple selections allowed Every line above appears in today's agenda

AI readiness

Regular users8
Occasional users5
Barely tried3
Complete beginners2

By function

Finance7
Accounts4
Tax & VAT3
Billing & Revenue3
Treasury1

By seniority

CFO1
AGM / Manager4
Deputy / Asst. Manager6
Senior / Officer5
Junior Officer2

By company

ADN Telecom14
ADN DigiNet1
ADN Intl. Gateway1
Cel Telecom1
Group Head Office1
Mixed readiness is planned for: a common foundation for everyone, faster multi-step work for regular users
03

What you can do by 6:00 PM

Seven outcomes  ·  each one practised, not just explained
1

Judge what AI can and cannot be trusted with on a finance task, and pick the right approach for the job.

2

Apply a clear confidentiality test before any ADN information goes near an AI system.

3

Write reliable prompts with a repeatable role–context–task–format structure, and test the output quality.

4

Use AI to speed up Excel, Power Query, data cleaning and analysis without losing the audit trail.

5

Produce reporting, MIS commentary, reconciliation exceptions and cash-flow views faster, with review kept in your hands.

6

Build and demonstrate one mini-automation for a real recurring task of your own.

7

Spot hallucinations, calculation errors and control risks before AI-assisted output goes anywhere.

04

The day, hour by hour

On the training day this page highlights the session that is running now.
10:00 – 10:30
NOW

Welcome, survey findings and ground rules

What the 18 responses told us, how the day is shaped around them, the confidentiality rules, and what each of you should be holding at 6:00 PM.

10:30 – 11:15
NOW

AI fundamentals for finance

Core concepts in plain terms, real capabilities and hard limits, approved use, and safe working practice. Product-neutral.

11:15 – 12:15
NOW

Prompt engineering for finance

The prompt framework, finance prompt patterns for reporting, analysis, email, memo and policy work — and you start your own library.

Output: personal prompt library
12:15 – 12:30

Tea break

12:30 – 13:45
NOW

Spreadsheet, data cleaning and reconciliation

Messy-data cleanup, formulas and transformation steps, analysis, and exception-based bank-to-ledger matching instead of line-by-line checking.

Output: reviewable exception list
13:45 – 14:30

Lunch and prayer break

14:30 – 16:00
NOW

Reporting, MIS and forecasting

Variance commentary, cash-flow and daily fund position, management summaries — approved figures turned into review-ready output.

Output: first-cut MIS commentary
16:00 – 16:15

Tea break

16:15 – 17:30
NOW

Hands-on automation lab

Bring your own task. You build one working mini-automation on de-identified data, with a trainer beside you.

Output: one working automation
17:30 – 18:00
NOW

Governance recap and close

Quality checks, what each person commits to using next week, open questions and next steps.

Timing may shift by agreement — the contact hours stay the same Total contact time: 6 hrs 45 min · breaks: 1 hr 15 min
05

What we cover

Five tracks, running through the day rather than one after another
01

AI fundamentals

What generative AI can and cannot do, responsible use, output limits and approved-use considerations — without tying you to any one product.

02

Prompt engineering for finance

A repeatable framework, quality checks, and reusable prompts for reporting, analysis, email, memo and policy work.

03

AI for finance and accounts

Financial reporting, variance commentary, bank reconciliation, cash-flow forecasting, data cleaning, VAT and tax support.

04

Ethics, risk and control

Confidentiality, data classification, hallucination risk, human review, audit trail and responsible adoption.

05

Hands-on automation

Turn approved, de-identified sales or finance data into structured output and an exception list you can actually use.

The six use cases we work on

Professional writing

Key facts into polished vendor emails, payment notes, memos and management communication — then human review and ADN tone.

Draft in minutes, reviewed by you

MIS and management commentary

Approved figures into structured variance analysis and a first-cut commentary ready for professional review.

Consistent monthly format

Cash flow and daily fund position

A transparent rolling view of inflows, outflows and assumptions, with exceptions flagged rather than buried.

Assumptions visible

Bank statement to ledger

Match on amount, date and reference; investigate an exception list instead of reading every line.

Exception list, not line-by-line

Data cleaning and spreadsheet support

Standardise messy source data, generate formulas or transformation steps, and document the checks you ran.

Checks documented

Tax and VAT support

Organise source information and draft working schedules, with qualified review retained before any statutory use.

Review retained, always
06

Ground rules for today

Read before the first exercise. These apply after today too.

Tick each one as we go through it. Nothing is saved — this is your own checklist for the day.

07

Who is teaching

Trainer allocation may shift across sessions to give you the strongest coverage and lab support.
Khondkar Atique-e-Rabbani

Khondkar Atique-e-Rabbani, FCA

Partner, M A Fazal & Co. · AI and Blockchain Consultant
  • B.Tech (Hons), University of Bradford, UK; IFRS certified by ICAEW, UK.
  • Over 40 years across IT and finance in the UK and Bangladesh.
  • Independent Director and Audit Committee Chairman, Eastern Bank PLC.
  • Former President, Institute of Internal Auditors Bangladesh; founding member and former Secretary General of BASIS.
  • Speaker at more than 100 seminars on AI and blockchain.
Fundamentals · ethics, risk and adoption
Mohammad Refaul Karim Chowdhury

Mohammad Refaul Karim Chowdhury, FCA, FFA, FIPA, MCT

Strategic Finance, Governance and Applied Automation
  • DGM–Finance, Transcom Distribution Company Ltd.
  • Microsoft Certified Trainer; financial modelling and business-intelligence specialist.
  • Experienced in MS Excel, valuation, VAT, tax and professional finance training.
  • Has trained 200+ ICAB members and more than 4,000 students.
Spreadsheets · reconciliation · MIS and forecasting
Md. Shakhawat Hossain

Md. Shakhawat Hossain, FCA, AIBB

Partner, M A Fazal & Co. · Finance and Applied AI
  • Financial Specialist at Grameen Bank and faculty member of ICAB.
  • Over 17 years across finance, banking, audit and applied AI.
  • Translates finance pain points into practical workflows and controls.
  • Programme coordination and participant lab support.
Prompt framework · finance use cases · automation lab
08

Be ready, and what you take home

Five minutes of preparation decides how much you get out of the lab.

Bring to the room

  • A charged laptop with access to ADN-approved tools, plus your charger.
  • One recurring task you personally repeat every week or every month — the more boring, the better.
  • A de-identified sample file for that task: real structure, masked contents.
  • Your account set-up done in advance, following the pre-work instructions sent to you.
  • The questions you have never had time to ask.

Leave with

  • Your prompt library — written in your words, for your role.
  • One working mini-automation for the task you brought.
  • A quick-reference guide to the day's techniques.
  • A data-safety checklist you can pin next to your desk.
  • Reusable exercise files to practise on after today.

Pick the task you dread most. That is the one we automate today.

Not the interesting one. Not the one that impresses. The repetitive one that eats your Thursday evening — that is where this day pays for itself.

M A Fazal & Co., Chartered Accountants Established 1970 www.mafazal.com
Finance Rewired: AI & Automation Masterclass — prepared for ADN Group Participant page · not for external circulation
M A Fazal & Co.
Logo