Financial Services
The data passes audit. The decision still lags.
Financial services firms have built governed, auditable data infrastructure over the past decade. The problem was never having the data. It is turning it into evidence, insight and action fast enough to matter.
What makes Panintelligence different
You built the infrastructure.
The gap moved somewhere else.
Financial services firms have invested seriously in governed data infrastructure. Snowflake, Databricks, Postgres and SQL Server now sit underneath most core banking, policy administration and lending platforms, and the investment case was sound.
What hasn’t kept pace is turning that infrastructure into evidence, insight and action at the speed regulation and customers now expect.
This isn’t a data problem anymore. It’s a translation problem: between what the systems hold and what a compliance officer, a customer, or a board member needs to see, trust, and act on immediately.
Built for the people actually making this decision
Chief Financial Officer
What is keeping them up at night
Board and investor packs still get built from spreadsheets the night before, and no two versions ever quite reconcile.
How Panintelligence helps
One governed source of financial MI, refreshed in real time, with a full audit trail behind every number.
Chief Risk Officer or Head of Compliance
What is keeping them up at night
Consumer Duty evidencing depends on manually assembled reports that cannot show how monitoring actually drove action.
How Panintelligence helps
Outcomes monitoring built into the platform, with permissioned, auditable evidence ready before the regulator asks for it.
Head of Product
What is keeping them up at night
Customers keep asking for better in-app reporting, and it keeps losing to roadmap priorities that ship revenue faster.
How Panintelligence helps
White label, embedded dashboards that ship as part of the product, not a separate engineering project.
Chief Operating Officer
What is keeping them up at night
Claims, underwriting and operations teams each run their own version of the truth, and reconciling them consumes real capacity.
How Panintelligence helps
A single semantic layer so every team, and every report, works from the same governed definition of the same metric.
Where this shows up
What changes with a single governed layer
Panintelligence sits across your core banking, policy administration, loan origination or wealth management systems and builds one governed semantic layer on top.
A metric means the same thing on a claims handler’s dashboard, a product roadmap review, or a board pack.
PiDashboard gives compliance managers and product owners self service views, with no analyst request required.
PiReport automates the regulatory and board packs that eat a compliance team’s week.
PiPredict adds explainable, human in the loop AI on risk and attrition, running on your own LLM so client data never reaches a third party.
Built to sit inside the systems you already run
Panintelligence queries data where it lives rather than moving it, which matters more in financial services than almost anywhere else.
- Core banking and lending platforms, and the policy administration and claims systems that sit alongside them
- Data warehouses already in place: Snowflake, Databricks, BigQuery, Postgres and SQL Server
- Single sign on and role based access control that inherits from your existing identity and permissions setup
- White label embedding into your own customer facing lending, wealth or insurance platform, with no separate login and no third party branding visible
Built for the standard regulated firms are actually held to
Your Existing BI Platform
Most financial services IT estates already license a general-purpose BI platform. It is a completely reasonable instinct for procurement to want to extend what you have already paid for across the enterprise.
Bi: Broad, But Generic
Broader enterprise platforms genuinely offer excellent visualization depth and ecosystem maturity. That matters a lot for large-scale, general-purpose corporate reporting teams.
Where General BI Struggles
A general reporting layer retrofitted to the job is a poor fit for specialized financial needs. Regulated services require something faster and inherently governed.
Purpose-Built for Regulated Finance
Every BI vendor should do it as well as Panintelligence. Its visualisations are easy to produce and endlessly customisable. It helps us to differentiate ourselves.”
James Tyler
Business Analyst, Ebix Europe
Ebix Europe moved from monthly SQL extracts to real-time, self-serve dashboards, cutting manual reporting and giving brokers instant visibility into their business.
The Generic BI Bottlenecks
The hidden cost of retrofitting
General platforms weaken exactly where this problem lives: deployments measured in months rather than weeks, heavy custom development to embed, and opaque pricing.
What this looks like in practice
If you are running this inside your organisation
Consumer Duty and regulatory reporting
Challenge
Outcomes monitoring evidence is assembled manually, late, and inconsistently across product lines.
How Panintelligence helps
Automated, auditable dashboards that track the four Consumer Duty outcomes continuously rather than at reporting deadlines.
Outcome
Board reports that show a continuous evidence trail, not a point in time snapshot assembled under deadline pressure.
Board and investor reporting
Challenge
Board packs are built from spreadsheets, and finance teams rely on engineering support to pull the underlying numbers.
How Panintelligence helps
Self service dashboards let CFOs and COOs generate investor ready packs from live, governed data without an engineering request
Outcome
Faster reporting cycles and consistent figures, whoever pulls the report and whenever they pull it.
Claims and risk exception monitoring
Challenge
Claims and risk exceptions are visible in the data, but only after they have already affected the customer or the loss ratio.
How Panintelligence helps
Governed, real time dashboards surface exceptions to the team that can act on them, rather than to a report someone reads next week.
Outcome
Earlier intervention, and a defensible evidence trail showing when an exception was identified and what was done about it.
If you are embedding this in your product
Embedded analytics for lending and wealth platforms
Challenge
Customers and intermediaries want better in app reporting, and building it in house means diverting engineering from the core roadmap.
How Panintelligence helps
White label, embedded dashboards ship as part of your platform, on the same governed data foundation as your internal reporting.
Outcome
Analytics becomes part of the product and the sales pitch, rather than a recurring support request.
White label reporting for insurance MGAs, brokers and claims platforms
Challenge
Insurers and brokers using your platform need their own governed reporting, but a generic export does not feel like part of your product.
How Panintelligence helps
Multi tenant, white label dashboards give each customer their own isolated view, carrying your brand rather than a third party analytics tool’s.
Outcome
Analytics stops being a recurring support request and becomes a reason customers renew.
Questions worth asking before you buy anything
Why Panintelligence is different
Most analytics vendors are built for enterprises with large BI teams and long implementation timelines. Panintelligence is built for organisations that need analytics to work quickly, transparently, and without the overhead, whichever way they choose to deploy it.
