Are you ready to build true momentum by planning your first modernisation sprint?
If so, you’re in the right place.
When institutions modernise their core banking system, one of the biggest risks is organisational, as without clear focus, strong ownership, and visible wins in the first 90 days, momentum stalls.
This planning template helps structure your first sprint with realistic actions, achievable outcomes, and clear accountability. Whether you’re kicking off internal discussions or working with an external partner, this format keeps you grounded in execution.
Please fill out the form to access this guide:
Every bank is under pressure to do something with AI, but not every use case should be first.
This matrix helps product, tech, data, risk, and compliance teams decide where to start and what to park.
Use the template to score AI ideas across impact, feasibility, data readiness, regulatory sensitivity, and time-to-value – so you can move beyond hype and focus on use cases that are both realistic and meaningful.
This 90-Day AI Pilot Planning Template helps banks turn AI from a slide in a board deck into a live, measurable pilot.
In four simple sections, it guides your product, tech, data, risk, and compliance teams to align on one realistic use case, the data it needs, and a safe 90-day timeline.
It also covers governance, success metrics, and rollback plans so you can move fast without adding uncontrolled risk. Download the template to leave your next AI discussion with a concrete plan.
Financial institutions are pouring $97 billion into AI by 2027, but here's what nobody tells you: 95% of AI projects fail to deliver on their promises. The reason? Bad data. Not bad algorithms, not insufficient budget, just terrible, siloed, inaccessible data that no AI can work with.
Before you buy another chatbot platform or fraud detection system, ask yourself: can you actually access your own banking data in real-time? Can your data scientists query your core without crashing production systems? Do you have a single source of truth, or are you duct-taping together CSV exports and hoping for the best?
This guide shows you how to build the foundation that makes AI actually work. We cover everything from credit scoring with alternative data to operational automation that cuts costs by 40%. But most importantly, we show you why your data layer matters more than any algorithm and how to fix it before you waste money on AI that goes nowhere.
Every bank is under pressure to have an AI strategy. Vendors are pitching, boards are asking questions, and regulators are watching closely.
The real question isn’t if you’ll use AI, it’s whether your data, core systems, teams, and governance are actually ready to support it without adding risk.
Our AI readiness checklist for banks helps you answer that, clearly and honestly. It’s designed for product, tech, data, risk, and compliance teams to complete together.
Want growth in the coming year and beyond? Then this is the whitepaper for you.
Digital wallets, QR payments, and super-apps have changed how people bank in Nigeria, Indonesia, the Philippines, and similar markets. Switching costs are low, expectations are high, and one bad outage or fraud incident can send customers elsewhere with a single tap.
This playbook helps banks and regulated lenders turn first login into long-term, profitable relationships and stable growth.
Come and see the future with us. Talk to one of our core banking experts.