iQprequel.ai
Bordereaux Transformation AI
The Problem
Bordereaux arrive in every format imaginable. Different structures, inconsistent naming, missing fields, errors. Your team spends hours cleaning data instead of analysing it. By the time you spot a problem, it's too late to act.
The Solution
iQprequel.ai uses machine learning to transform bordereaux data automatically. Regardless of source format, our platform normalises, validates, and enriches your data, making it ready for analysis and decision-making in minutes, not days.
01
Ingest
Connect your data sources. We accept bordereaux in any format, from any source, through APIs or traditional file transfer.
02
Transform
Our AI maps incoming data to your target schema, handling variations and inconsistencies automatically. The more data we process, the smarter we get.
03
Validate
Automated quality checks catch errors before they propagate. Flag issues, route exceptions for review, and maintain audit trails.
04
Deliver
Clean, standardised data flows into your downstream systems. Ready for reporting, analytics, and business decisions.
How It Works
Deadline Support
When you need extra capacity to meet a deadline, we bring experienced consultants who can contribute from day one. No ramp-up time, no hand-holding required.
Strategic Advisory
For complex transformations, our senior advisors work alongside your leadership to shape strategy, navigate organisational change, and ensure initiatives deliver their intended benefits.
Onboarding & Transition Support
Hit the ground running. Whether you're adopting new tools, implementing new processes, or bringing in new team members, we provide hands-on support to accelerate the learning curve and reduce risk.
Process Education & Training
From introductory workshops to advanced certification prep, we deliver training that sticks. Our programmes cover process mapping, BPM methodology, automation design, and continuous improvement techniques.
How We Help
Built For
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Carriers needing visibility into program business performance
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MGAs and MGUs managing data from multiple distribution partners
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Reinsurers requiring consistent data for pricing and exposure management
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Program administrators streamlining operations across the value chain
