Generative & Agentic AI: The Rise of the Digital Treasurer

From Spreadsheets to Copilots

Treasury has always been about numbers, scenarios, and documents: term sheets, covenant comparisons, board memos, rating packs. All vital, all time-consuming, and none of them exactly inspiring.

Generative AI promises to change that. A copilot that drafts the first version of a debt memo. An agent that runs through rating agency methodologies and highlights early warning signals. A scenario engine that prepares a stress pack before you've even asked.

In short: the beginnings of a digital treasurer. Not a replacement, but a tireless assistant that never sleeps.

But here's the uncomfortable question: How much should we really let it do?

The Temptation of Autopilot

The demos are seductive. With a few prompts, you can generate polished covenant comparisons, risk dashboards, even draft communications for rating agencies.

The danger is obvious: one step too far, and the AI stops being an assistant and starts acting as an operator.

Imagine an agentic AI deciding on hedges or drafting legally binding language without oversight. Efficient? Yes. Defensible in an audit or regulator meeting? Absolutely not.

And that's why adoption slows down. Treasurers like the time savings, but fear the liability. Nobody wants to be the case study of "the AI that wrote the wrong clause."

The Real Fear: Losing Control

Treasurers won't say it openly, but here's the thought at the back of many minds:

1. "What if the AI drafts something so polished that we forget to question it?"
2. "What if regulators think we're outsourcing judgment to a chatbot?"
3. "What if my team loses the skills to challenge outputs and just nods along?"

These are not small fears. They go to the heart of treasury's credibility.

The Path Forward: Augmented Judgment

The solution is not to lock GenAI out of treasury. It's to draw the line clearly between proposal and decision.

1. Copilot, Not Pilot. AI drafts term sheets, covenants, and scenarios. Humans review, edit, and own the final version.
2. Explainability by Default. Every AI draft must come with a rationale: which data, which methodology, which assumptions. If it can't explain itself, it doesn't belong in the board pack.
3. Decision Logs. When a human approves or edits an AI draft, the change is logged. This turns "black box" into audit trail.
4. Governance Narrative. Boards and regulators need reassurance. The narrative must be consistent: AI proposes, humans decide.

Culture: Re-skilling, Not De-skilling

Generative AI will not replace treasurers. But it will replace rote drafting. That means treasury teams must re-skill.

Instead of spending hours formatting term sheets, teams will spend time challenging assumptions and interpreting scenarios. The value shifts from producing documents to curating intelligence.

Treasurers become editors-in-chief of liquidity, not authors of spreadsheets.

Closing Thought

Generative and agentic AI can give treasury its first real assistant. A copilot that handles the tedious work and frees humans to focus on judgment, strategy, and trust.

But only if we keep the boundary firm: AI proposes. Humans decide.

Cross that line, and we risk turning the digital treasurer into the digital scapegoat.

And let's be honest, nobody wants to explain to auditors that "the chatbot wrote it."