How to Evaluate an AI-Native Treasury Platform: 10-Point Checklist

Almost every treasury tool now calls itself AI-powered, and the label has stopped telling you much. A CFO deciding where company cash, approvals, and records will live needs a way to test the claim. Good idle cash management depends on a platform doing the dull parts reliably: seeing the cash, applying your policy, and leaving a trail.

This checklist is vendor-neutral, so you can run it on any platform, including one you already use. It works best as questions you ask in writing, then score.

1. Is the AI native, or bolted on?

AI-native means the system is built around continuous data and carries insight through to action, within your approvals. Bolted-on AI adds a chatbot or a summary to an unchanged manual process. Ask: if you removed the AI features, would the workflow still work the same way? If yes, the AI is decoration.

2. How live is the cash visibility?

Check how balances arrive: direct bank connectivity or consent-based data access, not file uploads. Ask how often balances refresh and what happens when a bank feed fails. A polished dashboard running on stale data is the main thing to avoid.

3. Does it handle multiple entities, and respect India’s pooling limits?

If you run a group, confirm entity-level separation of accounts, approvals, and reporting. Be sceptical of anything promising notional pooling across Indian entities, since pooling across legal entities is treated as intercompany lending with legal and tax consequences. 

4. Can you inspect the forecast?

A forecast you can’t question isn’t usable. Look for the inputs, the assumptions, and a running comparison against actuals. Ask how forecast error is measured, and whether you can override an assumption when you know something the model doesn’t.

5. Does it apply your policy, not its own?

The platform should work from your buffer, approved instruments, and time horizons, and flag surplus against them. Ask whether policy limits are hard constraints on the AI or just suggestions. A recommendation outside your policy should be impossible, not merely discouraged.

6. How wide and neutral is the instrument range?

Check which fund houses and categories are available, and whether comparisons are like-for-like: duration, credit quality, expense ratio and exit load. A narrow shelf means the platform’s range is deciding your options. Ask how many AMCs it covers and how schemes get shortlisted.

Mutual fund investments are subject to market risk. Please read scheme-related documents carefully before investing. Past performance is not indicative of future returns.

7. Is it tax-aware?

Debt fund gains are taxed at the company’s corporate rate and arbitrage funds at equity rates, so recommendations should show returns after tax. Reporting should support advance tax and filing, including capital gains and any IDCW TDS. We’ve set out the rules in mutual fund taxation for companies.

8. Does it check risk before it recommends?

A return figure alone isn’t a recommendation. The platform should surface duration, credit quality, and liquidity terms, and warn when a fund doesn’t fit your horizon, especially with rates rising.

9. What controls sit around the AI?

Look for approval workflows by amount and role, a full audit trail of every recommendation and action, and confirmation that the agent acts only on approved requests. RBI’s FREE-AI framework recommends board-approved AI policies, audit mechanisms, and incident reporting for AI used in financial services. It is written for RBI-regulated entities, but the questions apply to any vendor you let near company cash. Ask for the AI governance policy and how incidents are handled.

10. Security, regulation, and how it’s paid

Ask for independent security attestations, such as SOC 2 Type II or ISO/IEC 27001, and how data is encrypted and who can see it. Confirm the regulatory standing of whoever distributes or advises on investments. Ask plainly how the platform is paid and whether that is disclosed, so you can judge any conflict of interest. Finally, check exit terms: can you export your data and policy settings if you leave?

Red flags

• Nobody can explain how a recommendation was generated.

• No audit trail, or one you can’t export.

• “Guaranteed” or assured returns on market-linked funds.

• A single fund house presented as a comparison.

• Policy limits that the AI can override.

• Vague answers on security or how the platform earns its fees.

Making the call

Score each point 0 to 2: shown, partly shown, not shown. Anything under 14 out of 20 deserves a hard look. Once a platform clears the list, what’s left is the investment decision itself. We’ve set out the options and rules in surplus cash investment for companies.

A platform that can answer all ten in writing deserves a pilot. One that can’t has already told you something.

FAQs

1. What is AI-native treasury management?

It is treasury management built around AI from the start, with continuous data and logic that carry insight through to action within your approvals. That contrasts with a manual process that has had AI features added on top.

2. How do you evaluate a treasury management platform?

Test it against concrete points: how live the data is, how the forecast can be inspected, whether it applies your policy, how wide its instrument range is, whether it shows post-tax returns, and what controls and security sit around it.

3. What features should an AI treasury platform have?

Beyond the checklist, look at what the platform does for the day-to-day work. KodoNorth, for example, lets you transact via chat or WhatsApp as well as its portal, sends proactive alerts for surplus cash and upcoming payables, gives access to 20+ AMCs on one platform, and provides consolidated reporting with ERP sync.

4. Is AI-native treasury management safe for company funds?

Safety depends on the controls around the AI, not the label. Look for approval workflows, audit trails, and hard policy limits. In KodoNorth, the AI agent places investment or redemption requests based on your approvals, and companies can define a treasury policy so any plan it generates stays within it.

5. Can a treasury platform improve returns on surplus cash?

It can help surface the option. Many companies park surplus in short-term FDs earning roughly 3-5%, while liquid mutual funds have delivered 6%+. Any platform should show that comparison after tax and alongside the risk.

6. Do you need an ERP integration?

It saves reconciliation work. KodoNorth syncs transactions to your ERP, and connecting your ERP and bank accounts also lets you view bank balances, payables, and receivables.