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Byte Insights AI
Three client AI projects, three into production

Know it works
before you build it

A working proof of concept in four weeks — deployed, wired into one of your real systems, with the design documentation to take it forward. And an honest verdict, because we’re not the ones building it.

Services

Prove it first

AI pilots rarely fail on the model. They fail where they meet your systems — so that is the part we test, before anybody commits a budget to building it.

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Sometimes the answer is don’t build it

A proof of concept from the firm that wants the build contract comes with an obvious incentive, and everyone in the room knows it. We aren’t bidding for the build, so there is nothing riding on the answer.

That means a proof of concept can come back negative — and when it does, it has done its job. Finding out for £18,000 beats finding out for half a million.

Case Studies

Work that made it into production

Most AI pilots never reach daily use. These did — and each one was won or lost where it met the systems the business already ran.

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Nookaly — AI Property Insights for Home Buyers

Our own product, built and operated end to end: every London property scored against what a buyer actually cares about, live on the App Store and Google Play.

PropTechProduct DevelopmentConsumer Product

AI Code Review Inside Azure DevOps

An AI reviewer we built and publish that runs as a pipeline stage and posts findings on the pull request itself — where reviewers already look, rather than in a report nobody opens.

Developer ToolsCode ReviewDevOps

An MCP Server for Azure and Microsoft 365

An open-source MCP server wrapping the Azure CLI and Microsoft Graph, so an AI assistant can answer questions across both using the permissions the engineer already has — no standing access, nothing extra granted.

Microsoft 365AzureOpen Source

AI-Powered Ebook Generator for Financial Services

Weeks of documentation, now hours. Product user guides generated in six languages for a financial services firm, with terminology that stays consistent across all of them — and still in daily use.

FinanceContent GenerationMultilingual

Automated Financial Statement Processing

Bank statements in, clean transaction data out. A separate extraction pipeline for every bank, because generic OCR does not survive real statement formats.

FinanceAutomationData Processing

AI-Powered Service Desk Email Triage

Support mail read, categorised and routed before an engineer opens it, with the spam stopped at the door. Response time went from hours to minutes at 92% accuracy.

IT ServicesEmail AutomationCustomer Service
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