
We help banks, insurers and financial services firms find where AI moves a number that matters - from onboarding and underwriting to claims, compliance and service - then commit to a deployable solution, measured against your P&L. The first step is knowing whether your data can support it.
Book An AIQuriosity CallMost financial services firms have already run an AI pilot and watched it stall in compliance review - almost never because of the model. It’s core banking and policy data spread across siloed systems, audit trails that can’t be reconstructed on demand, and reporting still reconciled by hand. Underneath that sits a second, older problem: core platforms built decades ago, patched and extended rather than replaced, now running in parallel with newer systems that were never designed to talk to them. More than eight in ten data leaders now call data sovereignty critical to managing risk, and over half still name siloed data as their single biggest obstacle to AI. Add a growing regulatory perimeter, and the window to modernise without disrupting service is narrowing. The honest first step isn’t another pilot - it’s a clear view of what your data and your systems can actually support.
Source: IBM Institute for Business Value, “2025 CDO Study: The AI Multiplier Effect” (1,700 CDOs) - data sovereignty critical to risk management; Cloudera & HBR, “Taming the Complexity of AI Data Readiness” (2026) - siloed data the most-cited obstacle to AI.
AI agents route and prioritise claims the moment they land, coordinated across systems that used to work in isolation, with a human sign-off on every decision that matters.
When KYC, AML and audit data flows in real time across systems that finally talk to each other, evidencing a decision takes minutes, not a week of email trails.
Connected policy, identity and risk data, flowing through systems built to work together, turns a multi-day intake process into one your customer barely notices.
Reduce manual reconciliation and reporting work across compliance, risk and back-office teams.
Accelerate onboarding and claims decisions with data that’s trusted the moment it lands.
Protect revenue by getting new products to market at the speed the business needs, not the speed the legacy stack allows.
De-risk compliance with audit-grade data captured automatically, not reconstructed under pressure.
An online financial derivatives provider passed audit at a 10/10 security score across ten regulators. A digital consumer-lending fintech cut refinancing intake from thirty minutes to five.
AumentIQ (AIQ) is an AI-first digital transformation consultancy. We build the data foundation across core banking, policy admin and claims systems that lets financial services firms deploy AI for claims triage, underwriting and compliance in production, not just in pilots.
Most stall in compliance review, not in the model. The underlying policy, claims and customer data is siloed, hard to evidence on demand, and reconciled by hand rather than governed in real time.
With a short, hands-on review of your data estate: an honest read of what’s audit-ready today, and what has to be true before AI delivers measurable results in production.
Thirty minutes with our financial services team. A straight read of what’s audit-ready today and what isn’t. Not a pitch.