Report Faster. Analyze Sharper. Focus On The Finance Work That Moves The Business.
AI training for finance teams. Built around the reporting, analysis, and commentary that take up most of the week.








What Changes When Finance Teams Build Real AI Skills
3.9hrs
100%
productivity
95%
confidence

AI Training For Finance Teams
Our AI training programs are built for the reality of finance; tight reporting deadlines, rising demand for insight from leadership, and pressure to deliver more with the same resources.
Each one designed for a different stage of AI readiness. Choose where your team is now and build from there. The people capability you develop here is what makes AI transformation possible.
Explore
Build the AI confidence and shared language teams need to start using tools well.
Apply
Build the skills to use AI in the workflows where it delivers measurable ROI.
Transform
Embed AI into how the business operates, at scale, across every function.

1.Explore:
AI Foundations

2.Apply:
AI for Finance Mini Lab

3.Transform:
Building AI Agents for Finance

practical learning
& resources
delivery

Poppy Morris
Expert-led AI Training For Finance Teams
Transparent Pricing For Finance Teams
£5,000
/ cohort
£6,000
/ cohort
£8,000
/ cohort
€5,800
/ cohort
€6,900
/ cohort
€9,400
/ cohort
$6,300
/ cohort
$7,600
/ cohort
$10,000
/ cohort
FAQs
How long does AI training for finance take?
Programs range from a two-hour AI Foundations session, through a 3.5-hour AI for Finance (level 1), up to Building AI Agents for Finance (level 2), which runs across two 3.5-hour sessions. Every program is scheduled around your team's calendar.
What is the difference between AI for Finance Mini Lab (level 2) and Building AI Agents for Finance (level 3)?
AI for Finance Mini Lab (level 2) is a half-day session focused on applying AI to everyday finance workflows: reporting, analysis, summarization, and narrative drafting. Building AI Agents for Finance is a two-part, hands-on workshop where teams design and deploy a working AI agent for a finance process, with the governance to scale it safely.
Who is AI for finance training designed for?
Our finance training is built for teams across reporting, FP&A, controllership, and business partnering. From people new to AI through to teams ready to build agents on top of their finance stack. Each program is tailored to the audience's existing skill level.
How much does AI training for finance cost?
Programs start from £5,000 / $6,300 per cohort, with pricing based on team size, program level, and delivery format (virtual or in-person). Book a 30-minute call and we will put together a proposal based on your specific needs.
Who typically delivers corporate AI training workshops?
Workshops are delivered by a mix of in-house trainers and specialist facilitators, all with hands-on experience applying AI in professional environments. Trainers are selected based on their subject matter relevance to the audience.
How long does it take to plan and deliver AI training for a company?
From initial conversation to first workshop, Edifai's typical timeline is six weeks. This covers scoping, needs analysis, and scheduling.
Can AI training for businesses be customized or is it always off the shelf?
Every program starts with a proven core curriculum that has been developed and refined across multiple organizations, then customized to reflect the client's specific tools, workflows, terminology, and business priorities. Clients get the benefit of structured, tested content without receiving something generic.
What AI tools are covered in workplace AI training programs?
We cover the AI tools most commonly used in professional environments, including ChatGPT, Microsoft Copilot, and Google Gemini. Where organizations use additional or company-specific AI tools, these can be incorporated into the program. Tools are tailored by function, so participants always train on tools directly applicable to their day-to-day work.
How do companies measure whether AI training has worked?
Edifai measures training effectiveness using a combination of pre and post-program assessments to establish a baseline of AI confidence and capability across the team. Post-assessments then measure the shift that participants can report against.



