Answers, not just analytics.
AI-POWERED ENTERPRISE DATA QUALITY
Turn fragmented data into trusted, submission-ready, decision-ready data
AIQA is an AI-powered data quality hub that helps enterprises map, validate, enrich, research and maintain data across regulatory, operational and commercial workflows — with explainable outputs, expert oversight and deployment in weeks.
AIQA Platform Overview
OptimisedSubmission
accuracy
accuracy
100%Explainable decision
logic
logic
No-codeDeployment and
configuration
configuration
GlobalRegulatory frameworks
supported
supported
Explainable Results • Human Review & Approval • Structured Outputs
Advisory and execution in one platform
Deployment in weeks, not months
No vendor lock-in, client determined deployment.
Built for teams that can’t afford bad data
When data issues delay decisions, submissions, onboarding, pricing, or reporting, the cost is never just operational.
AIQA helps teams reduce manual effort, improve data readiness and move from error detection to explainable correction and execution.
Faster data readiness
automate mapping, validation and enrichment instead of relying on manual rework.
Lower dependency on specialist effort
AI generates recommendations, experts review and approve.
Greater confidence
explainable suggestions, confidence scoring and transparent workflows
Enterprise fit
works across different data models, source systems and deployment preferences.
THE PROBLEM
Most data quality programs are reactive, manual, too narrow and deterministic
Enterprises keep adding systems, reports, models and AI layers, yet the underlying data foundation often remains
inconsistent, incomplete and hard to trust. Teams are left reconciling formats, chasing gaps, maintaining brittle mappings
and cleaning data again for every new requirement.
PAIN POINTS
Source data arrives incomplete.
Manual mapping and validation
consume expert time.
Unstructured data (JPEGs etc)
require intense manual
intervention.
Business users depend too heavily on
technical teams to define and maintain rules.
Old, redundant data and mapping rules
accumulate making for an inefficient,
unwieldy platform.
Traditional tools highlight issues but stop
short of helping resolve them.
How AIQA transforms your data
A single enterprise data quality hub for the full data lifecycle
AIQA does more than measure quality. It helps teams actively prepare data for use by automating the work required to
make complex, disparate, unstructured data usable, explainable and ready for action.
-
MAP
AIQA automates data mapping across source systems - consultants review and approve rather than manually build mappings.
-
VALIDATE
Automated validation logic identifies issues, suggests resolutions and scores confidence in data readiness.
-
ENRICH
AIQA enriches data using self-learned rules, applying semantic and syntactic checks.
-
RESEARCH
AIQA supports structured research workflows by identifying gaps and generating domain-specific search paths.
-
MAINTAIN
AIQA monitors mappings and rules, identifies redundancies and new requirements and executes auto-maintenance.
HOW IT WORKS
AI-powered automation with humans in the loop
AIQA combines explainable AI with expert logic to automate complex data quality work without turning the process into a black box.
The platform proposes mappings, validations, enrichments and issue resolutions, while your teams stay in control through review,
approval and policy oversight.
IMPORT
any source data
including
unstructured
ANALYZE
structure,
content and
quality issues
GENERATE
recommended
mappings, enrichments
and corrections.
REVIEW
through expert
review or business-
user rule creation.
DELIVER
clean, structured,
explainable
outputs
LEARN
from prior interactions
to improve future
recommendations.
One AIQA - Many Solutions
Our platform helps teams across business lines unify, transform, enrich and activate data across risk, regulatory, operational and commercial environments and more.
It's suited to cases where speed, breadth of source material are a must and enables workflows where accuracy, traceability and explainability are essential supporting rapid creation of reliable outputs.
The platform is LLM independent meaning that it is insulated from token pricing
and invasive legislation
- ALM and KYC workflow - Live risk sensing
- Multisource data preparation across PDFs, spreadsheets, emails and multilingual inputs.
- Regulatory reporting including iRef/BIRD
- Compliance data preparation.
- High-stakes validation workflows.
- Submission-ready structured outputs.
- CRM and commercial intelligence.
- Pricing and operational data.
- Market and entity research.
AI-powered automation with humans in the loop
Setup in
weeks
Client
determined
deployment:
on premise or
cloud
No vendor
lock-in.
Data
agnostic
by design.
Unified data
layer for
consistent
downstream
use.
Built for
security
and
scalability
A data partner, not just a software vendor
AIQA combines data platform capability with AI advisory and execution support. Instead of just identifying exceptions, AIQA workflows actively facilitate better data through automation, expert review and lean, flexible deployment.
- Expert-designed logic based on real-world delivery.
- Review-only workflows that reduce specialist effort.
- From proof of value to enterprise-scale deployment.
- Supports both regulated and broader enterprise use cases.
Delivery backed by trusted partners
AIQA works with regional partners to help enterprises deploy data quality capabilities in complex environments.
Current partner references on the site include PwC in DACH, Finative in APAC and Senacor Technologies AG
for enterprise integration and transformation support.
