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Company & Product

Treasury modernisation should only take a quarter: a step-by-step guide

by Mariya Pattara

Treasury modernisation has a reputation. Eighteen-month implementations. Rip-and-replace migrations. Consultants who bill by the hour while your team keeps forecasting in the same old spreadsheets. No wonder most treasurers put it off.

Palm takes a different route. We are the AI intelligence layer that sits on top of your existing TMS and ERP. No rip-and-replace. Just your current stack, finally working as one model. And we get you there in a single quarter.

Here is exactly how that quarter unfolds.

Days 1–30: Connect and go live

The first phase is about connectivity, and it is where most projects stall. Not this one.

Palm pulls from every source where your treasury data actually lives. TMS, ERP, email, Excel, APIs, bank portals, data warehouses, even the last-mile bank accounts that never made it into your central system. We handle all the IT and integration work ourselves, with zero disruption to your day-to-day operations.

Once connected, Palm reads it all and centralises it into a full cash visibility view. AI categorises your transactions, and a live bottom-up forecast starts building on top, learning from your actuals from day one.

By the end of month one, you are live. Connected, with full cash visibility, and forecasting. That is the part other vendors quote in quarters; we do it in the first 30 days.

Days 31–60: Tune and calibrate

Going live is the start, not the finish. Phase two is where the model gets sharp.

You run Palm in parallel with your existing process and review Forecasts versus Actuals every week. The advantage of one unified model is leverage: one good correction propagates across the whole forecast, so you are not fixing the same error in ten places.

This is also when you start offloading the manual work. You build personalised AI agents for the daily workflows that eat your team's time, including cash positioning, liquidity planning, intercompany sweeps, FX sensitivity analysis and variance flags.

Days 61–90: Adopt and act

The final phase turns a working forecast into a working practice.

You expand to more entities, set your variance cadence, and run scenario models against real questions. What happens to liquidity if a major receivable slips? How does an FX move ripple through the group? This is the point where the forecast stops being a report you check and starts being the basis for decisions you make.

Adding AI to decades-old treasury tech is not as daunting as it sounds

Here is the fear that keeps most teams on Excel: that modernising means tearing out systems you have run for years, retraining everyone, and hoping the new model is right. Palm is built to remove exactly that fear.

You do not start with a black box. You start with a bottom-up rolling forecast, built line by line from your own transactions, so you can trace every number back to its source. Nothing is assumed; everything is grounded in your data.

AI handles the categorisation that used to swallow hours of manual tagging, constantly updating rules because the transaction description changed again. And crucially, it keeps you in control. When Palm suggests recategorising a transaction, it shows you the insight behind it, the impact on your forecast, and the reasoning, so you approve the change rather than inherit it. You can edit any category and watch one correction ripple across the model. The AI does the heavy lifting; the treasurer keeps the final say.

The payoff is the moment all that scattered data finally makes sense. Take Cash Positioning. See your balances at a glance through summary cards and a clearer chart by date, then switch to positions and group your data any way you like, by entity, currency, cash pool or whatever works for you, to build a view that fits how you manage cash. Bank balances, ERP entries, last-mile accounts and spreadsheets stop living in silos and start telling one coherent story. For the first time, your team has real cash visibility across the whole group.

That visibility changes how treasury operates. Instead of reacting to where money is falling short, scrambling to cover a gap you only spotted yesterday, you see it coming and act early. You move from firefighting to strategy: deploying idle cash, sizing facilities with confidence, and bringing decisions to the business before they become problems. And when it is time to share the numbers, smart reporting tailors the view for any audience, from finance-ready packs to executive summaries.

Modernising your clunky legacy system is not a leap of faith. It is a steady, transparent shift, one your team stays in control of the whole way through.

Ready to begin? Book your kick-off and start the clock.

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