AI made up numbers
Catch fabricated figures in a financial model before it goes out.
An agent deleted production data
What to do in the first hour, and the controls that prevent a repeat.
Audit trail and rollback
Which AI spreadsheet tools record every change and let you undo one.
AI vs human auditability
Which work is easier to audit, and what evidence each leaves.
Humans and AI editing live
Tools that let people and agents edit the same file at once.
Human in the loop for finance
Where the reviewer belongs, and how much autonomy to grant.
AI won't use my template
Why AI rebuilds your deck, and how to make it edit in place.
Will AI replace accountants?
Which tasks AI takes on, and what stays with the accountant.
Shadow AI without a ban
Give people a sanctioned tool, then govern it: policy, permissions, audit.
Prompt injection and agents
How an email or file can steer an agent, and what limits the damage.
Is company data safe in AI?
Training, retention, who can see it, and where the model runs.
AI agent costs and ROI
Seat and token pricing, runaway runs, budgets, and measuring return.
Explaining what an agent did
The instruction, sources, steps and approval behind each output.
Is the scheduled job still right?
How recurring AI work drifts, and the checks that catch it.
Switching AI models or vendors
Where lock-in hides, and how to keep your work portable.

