Moneythor replaces manual campaign workflows with a real-time AI engine purpose-built for financial data. Detect customer signals the moment they happen, apply intelligence instantly, and trigger personalised experiences, without engineering dependency or operational overhead.
Trusted by leading banks worldwide
The real barrier to personalisation isn’t data, it’s execution
Most banks have access to rich transaction data but lack a way to act on it continuously, without manual workflows, cross-team coordination, and engineering release cycles slowing everything down.
As personalisation scales, so does operational complexity – more campaigns to build, more rules to configure, more systems to coordinate – making it harder to sustain profitable personalisation at scale.
An AI engine built for how banking teams operate
Moneythor replaces manual workflows with a real-time event-processing and orchestration engine, purpose-built for financial data.
It ingests transaction data, customer events, and external signals, then automatically:
- Enrich and categorise data
- Detect patterns and behaviours
- Apply predictive and generative AI
- Determine the next best action
Your teams configure outcomes. The engine handles everything else.
Using Moneythor Studio – the no-code/low-code back-office tool – business teams can define logic, build campaigns, and launch personalised experiences directly, without relying on engineering cycles.
- Define the outcome you want to drive
- Configure the logic in Moneythor Studio
- Let the engine handle detection, decisioning, and delivery at scale
AI embedded across every layer of the platform
Moneythor integrates a full spectrum of AI capabilities, all purpose-built for banking data.
Predictive AI
identifies patterns and anticipates behaviour
Generative AI
creates personalised content and logic
Conversational AI
powers in-app assistants and chatbots for intelligent, real-time customer and staff interactions
Agentic AI
automates customer journeys and surfaces intelligent conversation starters
From signal to personalised action
What changes in practice
Teams move from building and maintaining workflows to driving strategy, innovation, and customer outcomes. They spend less time on campaign logistics and more time on what matters.
Banks can deliver more personalised experiences at lower operational cost, without adding headcount or introducing new engineering dependencies to scale.
Operational impact
Lower cost to serve per customer
Accelerate time to market
Increase team productivity
Reduced operational complexity
Scalable operations
Lower total cost of ownership
From manual campaigns to always-on intelligence
Typical approach
eastCampaigns planned, built, and launched manually
eastHeavy reliance on engineering for implementation and changes
eastManual data extraction, segmentation, and targeting across disconnected tools
eastMultiple tools for analytics, campaign management, and fulfilment
eastStatic campaigns that require rebuilds and optimisation cycles
eastDelayed fulfilment (batch rewards, scheduled messaging)
eastScaling requires more resources, coordination, and budget
eastTeams spend time managing workflows rather than strategy
With Activate
checkContinuous, always-on execution driven by real-time transaction data, not campaign signals
checkBusiness teams configure and launch use cases directly in Moneythor Studio, with no engineering dependency
checkAutomated data enrichment, segmentation, and decisioning, all in real time
checkOne unified platform for data ingestion, AI decisioning, orchestration, and delivery
checkDynamic journeys that adapt automatically based on customer behaviour and outcomes
checkInstant, real-time fulfilment of rewards, nudges, and interactions
checkScale to millions of customers without increasing operational overhead
checkTeams focus on strategy, performance optimisation, and business outcomes
Moneythor provides a ready-to-deploy platform designed only for banking
Operate on real-time transaction data, not campaign signals
Deploys alongside existing core systems, no replacement required
Scales horizontally: built to serve millions of customers with no added operational overhead
Channel-agnostic delivery: mobile, web, chatbots, CRM, and more
Compliance-ready: purpose-built for the data and regulatory requirements of financial services
Ready to put AI to work for your banking teams?
Turn financial data into real-time personalised action, at scale. No additional headcount. No engineering cycles. Just outcomes.