Banks don't lack AI Ideas. They need the muscle to ship. BigTapp helps banks move from AI ideas and pilots to production, starting with focused, high-value use cases across customer, growth, risk, lending and operations, then scaling what works through reusable agents, accelerators and governed data foundations.

The financial landscape is being reshaped by evolving regulations, fintech disruption, and rising customer expectations. Yet most institutions remain burdened by legacy data silos, manual compliance checks, and reactive decision-making. To stay resilient, banks must transform insight into action embedding intelligence at every step from credit approval to fraud prevention.
Across the banking landscape:
• 60% of banks still operate on fragmented data systems
• 80% cite compliance reporting as top manual burden
• 45% struggle to turn analytics into action

The gap is no longer whether AI can answer a question. The challenge is connecting AI to the bank's data, policies, systems and workflows so it can improve a real business outcome.
BigTapp combines banking domain knowledge, AI, data engineering and automation to move from a focused use case to a production workflow, with governance, human oversight and measurable KPIs built in.

Select a high-value banking problem with clear business KPIs.
Build a focused MVP or production pilot with the required data, controls and integrations.
Embed AI into the actual banking workflow, not just a standalone demo.
Reuse agents, data products, connectors and accelerators across adjacent use cases.
Build toward a broader AI-first operating model as successful use cases accumulate.

Give relationship managers a 360° client view, meeting intelligence, portfolio insights and next-best actions.

Extract and validate credit proposal terms against policy and regulatory requirements, with structured evidence and auditability.
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Surface emerging credit and portfolio risk signals before deterioration becomes visible through traditional processes. Use explainable AI to identify RWA anomalies, understand risk-weight movements and support disciplined capital allocation.

Use AI agents to investigate payment and card queries across core banking and supporting systems. Enable Data & AI to perform KYC / AML alert prioritisation.

Resolve account, payment and product queries using grounded AI connected to core banking and enterprise knowledge.

One view of growth, customer, risk and operational performance with CEO dashboards.
Common business language across customers, accounts, products, transactions and risk.
Cloud data platforms, integration, migration, governance and modernization.
Turn KYC, credit, trade and other unstructured documents into decision-ready data.
Named solution packs built on Beeonix and governed by design that turn priority use cases into running systems across lending, customer service and risk.
Solution packs, Accelerators and Beeonix work together to help banks move from a priority use case to measurable business value, faster and with lower risk.

Real outcomes from banks, across data strategy, platform modernisation and GenAI customer service.