How do you implement AI in treasury, and how long does it take?

Start with one high-frequency process, usually cash forecasting or categorisation, and prove it before expanding. Implementation needs bank and ERP connectivity plus 12 to 24 months of transaction history. An AI layer over existing systems deploys in weeks. Palm averages around 18 days, against 6 to 24 months for a full TMS.

Treasury modernisation should take a quarter, not a year. A 90-day rollout runs in three phases.

Days 1 to 30: connect and go live

Integrate every source: TMS, ERP, email, Excel, APIs, bank portals. Establish full cash visibility with AI categorisation and a live forecast. Connectivity is normally the bottleneck, so clearing it first sets the pace for everything after.

Days 31 to 60: tune and calibrate

Run in parallel with existing processes and review forecasts weekly. Build the agents for daily workflows: cash positioning, liquidity planning, FX analysis. This is where the model learns your corrections.

Days 61 to 90: adopt and act

Expand to further entities, set a variance cadence, and run scenarios against real business questions. The forecast stops being a report you check and becomes the basis for decisions.

What determines your timeline

Number of banks and entities, data quality, and how fast your team signs off on categorisation logic. Connectivity is the long pole, not the AI.

What makes it fast

No rip-and-replace, because the layer sits on existing systems with read-only access. Automated categorisation instead of manual tagging. A bottom-up rolling forecast built from actual transactions rather than a rebuilt budget model.

Baseline before you start

Record current forecast variance and hours spent before go-live. Without a baseline you cannot prove value, and the business case gets rebuilt from memory at renewal. A Forecasting Health-Check gives you that number.

Bring the analysts in early

Teams that understand the change before it happens adopt far faster. The people who own the current process are the ones who spot a wrong categorisation.

Compare timelines across platforms

Timelines vary widely by platform category. See implementation timelines for the 8 best treasury platforms for cash forecasting for a side-by-side time to value comparison. The full playbook is in treasury modernisation should only take a quarter.

Ready to scope yours? Talk to the team.

Related Terms: How to Choose an AI Treasury Platform | Best Treasury Platforms for Cash Forecasting | Does AI Replace a TMS?