AI to
Complaints
CourtCorrect helps case handlers, quality assurance and team leaders write better, prevent mistakes and report accurately.
Seamless Integrations with Your Systems
Generate Correspondence
Draft Customer Responses with 1 Click
Use AI to draft a compliant response to your customers at the click of a button.
Close cases up to 50% faster
Edit drafts using an AI assistant
Tune models on your data for style, tone and jargon


Risk Identification
Catch Mistakes Before They Happen
Identify quality errors and inconsistencies and provide guidance in real time.
Flag mistakes and inconsistencies with AI
Provide nudges and guidance through internal policies and regulatory databases
Reduce quality failings by up to 25%
Aggregate Insights
Structure data for better Management Information
Use AI to structure case and complaints data and understand what's causing issues. Increase the quality and breadth of your reporting.
Identify root causes accurately
Benchmark your performance against the market
Audit your cases at scale with AI


Regulatory Alignment
Built for Regulated Sectors
Our team has extensive experience in regulated sectors and has executed projects for government and enterprise.
Financial Services
Telecommunications
Energy
Government and more…
Features
Enabling End-to-End Automation with Human Supervision
Once you've deployed initial use cases, connect them with our end-to-end resolution technology for full case automation with human supervision.
01
STEP 1
Build Every Case in Seconds

Pull in customer data automatically

Structured case files, every time

AI flags issues before they reach a handler
02
STEP 2
Know the Decision Before You Make It

Surface the issues that matter most

Apply your firm's rules consistently at scale

Stay aligned with regulations
03
STEP 3
Resolve Faster. Stay Compliant.

Keep humans in control of every decision

Diagnose what went wrong and why

Turn cases into business intelligence
FAQ
In case you missed anything
We're here to answer all your questions.
Can the AI be trained to match how our organisation writes and makes decisions?
What kind of management information can we get out of the platform?
Is CourtCorrect only relevant for financial services complaints, or does it work across other case types?
How does the human supervision model actually work in practice?
How quickly will we see a measurable impact?




