Case Studies | PropTech

Natural-language analytics and AI compliance checks

AI Business Analytics and Compliance

About

A PropTech business working with Cloud Combinator on AWS. The client is anonymised at their request.

Challenge

The proof of concept addressed three focus areas.

Making Mercury data usable

The data first needed to be reliably synced from the Mercury database into Amazon S3, so that any creation, change or deletion was reflected automatically and the data was available to AWS services.

Natural-language business insight

Non-technical staff needed to ask questions of the data in plain English and see the answers visualised, without writing SQL, with a path to roll the capability out across the wider team.

Faster compliance checks

Compliance documents needed to be screened and assessed automatically, so that a set of standard questions could be answered against each document rather than reviewed manually.

Solution

The work was sequenced so that each stage built on the last, starting with the data foundation and ending with the AI compliance service.

800 GB

Mercury data synced into Amazon S3

40

Staff targeted for the Amazon Q in QuickSight rollout

3

AI capabilities delivered in a single proof of concept

By the numbers:

  • 800 GB - Mercury data synced into Amazon S3
  • 40 - Staff targeted for the Amazon Q in QuickSight rollout
  • 3 - AI capabilities delivered in a single proof of concept
Changes

The proof of concept demonstrated all three capabilities against the agreed success criteria, giving the client a working blueprint for natural-language analytics and AI-assisted compliance on their own AWS environment. Solutions were delivered with a walkthrough and handover so their team could carry the work forward.

  • Reliable data foundation — Mercury changes flow automatically into Amazon S3, making the data available to AWS analytics and AI services.
  • Self-service analytics — Amazon Q in QuickSight lets staff query the data in plain English and see it visualised, with a rollout path defined.
  • Automated compliance — A Bedrock Knowledge Base screens documents and answers standard compliance questions, reducing manual review.
  • Handover — The solutions were delivered with a recorded walkthrough and a live demo so the client could operate and extend them.

With the data foundation and AI services proven, the client has a clear route to widen the QuickSight rollout and extend compliance automation to more document types as their needs grow.

AWS Stack

Amazon S3

For the synced data foundation drawn from the Mercury database.

Amazon Q

In QuickSight for natural-language querying and visualisation of business data.

Amazon Bedrock Knowledge Base

For AI-driven compliance document checking.

AWS Lambda

For the API-driven sync and automation between systems.

AWS Identity

And Access Management for controlled access across the solution.

YOU MIGHT LIKE

Related success stories

View all case studies

Case Studies | Insights

Utilising Language Recognition, Speed, and Enhanced Security to Make Social Media a Force for Good

  • Here, we take a detailed look at how the Cloud Combinator team collaborated with another cutting-edge AI service provider that provides intelligent systems to “make social media more social” for brands and users alike.
  • Arwen AI is a UK-based startup specialising in AI solutions to manage and enhance brands’ social media interactions. Founded in 2020 by Matt McGrory, Dr. David Cole, and Joel Bailey, Arwen. AI focuses on using AI to automatically detect and remove spam, toxic comments, and other unwanted content from social media platforms.
  • The team at Arwen have three core products. ‘Moderate’ is focused on identifying and removing toxic content from social media channels. ‘Engage’ helps brands identify and engage with meaningful conversations on social media, and ‘Customize’ allows brands to apply bespoke algorithms to their channels - creating an even more effective moderation and engagement.
Read more
CONTACT US

Ready to turn AI into impact?

We'll help you spot the highest-value opportunities, reduce risk around your first AI initiative, and define a clear path to results from day one.

Why talk to us:

Outcome-driven recommendations

AWS-recognised delivery expertise

Risk-aware AI adoption

Clear next step, not a sales pitch

Start with a focused 20-minute conversation about your goals — no pressure, no commitment.

We use cookies

This website uses cookies to enhance user experience and to analyze performance and traffic on our website.

See our Privacy Policy for details.