Futurelab trains finance teams to use AI for management reporting, planning support, research synthesis and stakeholder communication. Every exercise ends with four checks, source, arithmetic, reasonableness and confidentiality, so speed never costs accuracy.
AI training for finance teams
Help finance teams use AI to analyse, communicate and prepare faster, while keeping professional judgment and verification at the centre.
Futurelab Studios: OpenAI Select Partner · Claude Partner Network
Trusted by finance and advisory teams at PepsiCo · SBI Mutual Fund · International Money Matters · India Alternatives
In finance, a fluent answer is not a correct one. Every exercise ends with the same four checks, so speed never costs accuracy. Switch them on to see what they catch.
Each number in the draft is matched to the report, ledger or file it came from. Anything without a source is flagged.
Totals, percentages and variances are recalculated outside the AI, because language models can get sums wrong.
Movements are checked against last period, budget and business context, so an odd explanation gets questioned.
Sensitive data stays in the tools and environments your organisation has approved, with nothing pasted where it should not be.
We focus on the work AI can accelerate, and the controls people need to keep quality, accuracy and accountability high.
Use AI to structure questions, explore data and surface patterns worth investigating, faster than starting from a blank sheet.
Produce stakeholder-ready summaries, narratives and presentations faster, in language non-finance leaders follow.
Build verification and confidentiality into everyday AI use, so the team moves quickly and stays defensible.
Fast, careful, useful Workflows for analysis, reporting, planning and stakeholder communication, designed for people whose numbers get read by the board.
Exercises use sanitised or approved material from your own function, in the spreadsheet and reporting tools your team already uses.
Draft clear performance narratives from approved inputs.
Structure assumptions, scenarios and review questions.
Turn long source material into decision-ready briefs.
Create concise explanations for non-finance stakeholders.
Three steps, built around your close calendar and reporting cycle.
Choose the recurring finance tasks where AI can help, and the ones where it should not.
You get: A map of finance tasks ready for AI
Work through realistic finance inputs, outputs and review steps together, with the four checks on every exercise.
You get: Drafts produced and checked in the session
Leave teams with reusable prompts, checklists and workflows for each recurring task.
You get: A finance AI playbook with checks
Embedded deployment with the full advisory team: custom AI tools that shortened planning cycles and improved coordination.
We now view AI not as a threat to financial advisory, but a lever for deeper trust and insight. Futurelab helped us get there.
Lovaii Navlakhi, Founder & CEO
The AI strategy session was tailored and insightful. It helped sharpen our thinking as investors on what's next.
Harish R, Principal
Futurelab has been a valuable partner in enabling our teams at PepsiCo to better understand and adopt AI in their work. We appreciate their continued partnership in supporting our teams on this journey
Akshita Summan, Lead, Talent Strategy
A practical programme that made AI tools and workflows easier to apply.
Vikram Varde, Senior Director
AI helps finance teams automate report generation, extract data from documents, build forecasting models faster, check compliance, and communicate financial insights more effectively.
AI is excellent for drafting, analysis, and pattern recognition. We teach teams to use AI as an accelerator while maintaining human verification for all financial decisions and regulatory submissions.
We cover data handling best practices extensively, including which tools are safe for sensitive financial data, how to use enterprise-grade AI tools, and when to use on-premise solutions.
Yes. We teach teams to use AI for formula generation, data cleaning, scenario modeling, and automated chart creation. AI can also explain complex formulas and debug spreadsheet errors.
No. The programme is designed to strengthen judgment by reducing low-value drafting and synthesis work. Every exercise ends with checks a finance professional owns.
Where appropriate and approved, we work with sanitised or organisation-specific examples, and we agree data boundaries before the session.
Yes. We can design distinct tracks for finance leaders, who focus on decisions and governance, and for operating teams, who focus on daily workflows.
Tell us how your finance team is organised and which workflows take the most time. We will suggest a format that fits your calendar.