AI in finance: readiness, governance and adoption
Make AI work for your finance team, safely and step by step.
AI can take hours out of finance work, but only on solid foundations and with clear rules. We help you get your processes and data ready, set up practical governance for how AI is used, and build your team's skills, from first prompts to everyday FP&A.
20+ years delivering finance and system change · Practical, hands-on training · Governance built for finance teams
The short answer
What does AI readiness mean for a finance team?
AI readiness means your finance team can use AI safely, consistently and where it adds real value. That needs three things: processes and data clean enough for AI to work on, clear rules on which tools are used and how, and people with the skills and confidence to use them. Greenshoots helps with all three, starting with simple everyday tasks and building up to core finance processes.
Sound familiar?
Signs you're not getting value from AI yet
Most finance teams are somewhere between curious and cautious. These are the patterns we see most.
A few enthusiasts, everyone else waiting
Some people use AI every day; most aren't sure where to start.
Tools nobody approved
People use whatever AI tool they found, with no agreed rules.
Unclear what's safe to share
Nobody is sure which finance data can go into which tool.
No view of the cost
Licences and usage aren't tracked, budgeted or allocated.
Pilots that never scale
A promising trial that never becomes the normal way of working.
Foundations aren't ready
Messy processes and data mean AI has nothing solid to work on.
Foundations first
AI can't fix a broken process. It can speed up a good one.
Quick wins with AI can start straight away. Bigger gains in core processes come once the foundations are in place.
FIRST
One common process
Everyone works the same way, with clear owners and hand-offs.
NEXT
Clean, standard data
Consistent customer, product and transaction data AI can rely on.
THEN
AI and automation
AI applied where it saves the most time, with people reviewing the output.
Governance for enterprise AI use
Clear rules, so people can use AI with confidence
Light-touch governance that makes AI easier to use well, not harder to use at all.
Acceptable-use policy
A short, plain-English guide to what AI should and shouldn't be used for.
Approved tools
An agreed list of tools and settings, so people aren't left to guess.
Data handling
Practical rules on which finance data can be used in which tools, aligned with your existing policies.
Usage recording
A simple record of who uses which tools, and for which tasks.
Budgeting and cost allocation
Licence and usage costs forecast, tracked and allocated to the teams that use them.
Adoption tracking
See who is using AI, where it saves time and where people need more support.
Where AI helps in finance
Two phases, matched to your team's confidence
We meet people where they are. Beginners build confidence on everyday tasks; more confident users put AI to work on core finance processes. In both phases, people review AI output before it's used.
Phase 1 · Complete beginners
Build confidence on everyday tasks
Low-risk uses that save time from week one.
- Drafting emails and replies to customers and suppliers
- Summarising reports, contracts and long email threads
- Explaining variances in plain English
- First drafts of commentary and board-pack text
- Answering questions about policies and processes
- Meeting notes and action lists
Phase 2 · Semi-proficient users
Put AI to work on core finance processes
Bigger gains, built on clean processes and data.
- FP&A variance analysis and driver insight
- Management commentary drafting from the numbers
- Forecasting and scenario support
- Reconciliations and exception flagging
- Cash matching and allocation
- Handling routine queries, such as "Where's my invoice?"
- Building shared prompt libraries and templates
How we help
From first prompts to everyday practice
Practical support that leaves your team more capable, not more dependent on us.
AI readiness review
Where AI will help most, and what needs fixing first in your processes and data.
Training
Hands-on workshops for beginners and confident users, using real finance examples.
AI champions
A small network of people in the team who help others and share what works.
Prompt libraries and templates
Tested prompts for your recurring tasks, so good results are repeatable.
Adoption programme
A structured plan to take AI from a few enthusiasts to the whole team.
Usage and value reporting
Regular reporting on usage, cost and time saved, so you can see what's working.
How we work
Start small, build confidence, then scale
We lead, then we co-lead, then your team leads.
- 1
Assess
Where AI will help, and what needs fixing first.
- 2
Govern
Tools, rules, budgets and usage recording agreed.
- 3
Train
Phase 1 for everyone, Phase 2 for confident users.
- 4
Embed and scale
Champions, prompt libraries and reporting that keep it going.
Questions
AI in finance FAQs
Our team has hardly used AI. Where do we start?
With Phase 1: simple, low-risk tasks such as drafting emails, summarising reports and explaining variances in plain English. A short hands-on session is usually enough to build confidence, and people start saving time straight away.
Do we need to fix our processes before using AI?
Not for everyday tasks, which can start now. For AI in core processes, such as cash matching or reconciliations, clean processes and data make the difference between a pilot that impresses and one that scales.
Which AI tools do you work with?
We're tool-agnostic and don't sell software. We work with the tools you already have or plan to use, such as Microsoft Copilot, ChatGPT, Claude or Gemini, and the AI features built into systems like Salesforce and NetSuite.
Is it safe to use finance data with AI tools?
It depends on the tool, its settings and your own policies. We help you set clear, practical rules with your IT team and your data protection and legal advisers, so people know what can be shared and where.
How do we know whether AI is worth the cost?
By recording usage and tracking time saved alongside licence and usage costs. We help you set up simple reporting, so spend is budgeted, allocated to the right teams and linked to the value it delivers.
Our scope: Greenshoots helps finance teams prepare for, govern and adopt AI in their processes. We don't provide legal, regulatory or data protection advice, and decisions on AI tools, data use and compliance stay with your management team and advisers.
Ready to put AI to work in finance?
Book a free 30-minute discovery call. We'll talk through how your team uses AI today and suggest practical next steps, with no obligation.