AI Automation
for Finance Teams.
Month-end reconciliations that eat days. Invoices coded by hand. Variance commentary written from scratch every cycle. In two focused days, your team walks out with a working automation for one of its own pain points — proven, controlled, ready to roll out.
What you’ll walk away with.
Five deliverables. Nothing performative — everything you leave with is something you or your team can act on next week.
A prioritised automation roadmap
For your finance function, sequenced by value and effort — the shortlist you present to your CFO on Monday.
A process map with automation points marked
One of your real workflows, drawn out end-to-end, with the specific handoffs and steps that AI can safely take on.
A working AI automation
Or solution design — for a genuine pain point, proven on sample data, with a plan to connect it into your ERP.
A controls-aware AI usage policy
Practical guidance on when to use AI, when not to, and how to keep audit and privacy people happy while you do.
A 90-day rollout plan
Milestones, owners, and the guardrails you’ll want in place before you scale the automation beyond the pilot.
Led by
Automation and data specialist. Founder of Qadan Analysis Consulting, working with finance and analytics teams across Australia and the Gulf to design production AI systems and process automations that stand up to real controls, real audit, real data.
Small groups. Real problems. No vendor pitch.
From manual to AI-augmented.
A worked example. A typical accounts-payable flow — from PDF arriving in the inbox to the coded line item in your ERP. On the left as most teams run it today; on the right, the same flow with AI in the loop.
Who this is for.
Finance and accounting practitioners who want to move past the AI headlines and build something. No coding background required — the hands-on portion uses no-code and low-code tools deliberately.
- FP&A
- Financial accountants
- Management accountants
- Finance managers
- Controllers
- AP & AR teams
- Group and shared-services
- CFOs assessing the space
Format & logistics.
- Duration
- Two full days, 9:00am–5:00pm local time, with breaks and lunch.
- Format
- Online via Microsoft Teams — pick the cohort that matches your timezone.
- Group size
- Capped at 10 attendees per cohort. Kept deliberately small.
- Instructor
- Jay Qadan — automation and data specialist, founder of Qadan Analysis Consulting.
- Investment
- AUD $2,000 per attendee. Employer-reimbursable — approval template provided.
- Sydney cohort
- Wednesday 20 & Thursday 21 August 2026 (AEST / Australia). Registration closes 13 August.
- Gulf cohort
- Thursday 27 & Friday 28 August 2026 (GST / Dubai / Doha / Riyadh). Registration closes 21 August.
- Add-on
- Optional 1:1 implementation half-day is available afterwards to take your priority automation further.
Two cohorts, both online.
Pick the one that suits your timezone. Ten seats each. Reserve now — we’ll follow up within a business day. Or, if you’d rather not commit yet, take the free assessment or book a 1:1 call below.
20 · 21
August 2026 · Wed & Thu
27 · 28
August 2026 · Thu & Fri
Free AI-readiness assessment
A short structured self-assessment. Get a written view of where AI would help your finance team most — and where to leave it alone.
Book a 1:1 free consultation
30 minutes with Jay on Calendly. Bring a specific problem, or just questions. No sales, no pressure — often the fastest way to know if the workshop is right for you.