Intelligent Enterprise Search Platform

We led the end-to-end product design of an AI-powered enterprise search platform — built to be deployed and sold across large organisations — working directly from the client brief through to Final-for-Dev handoff, representing ICD as the design partner for UnifyApps. The platform replaces fragmented tool-switching with a single intelligent interface, connecting search, agents, integrations, and administration on a shared knowledge index that works from the same understanding of who each user is and what they have access to.

Organizations already had the information they needed, but it was scattered across documents, communication tools, and business applications. Finding the right answer meant searching multiple systems, checking permissions, and piecing information together manually. The challenge wasn't access to data—it was making that knowledge easy to discover, trust, and use.

We designed the platform as a copilot: Search, Chat, Agents, Spaces, and Apps working as one system, on a shared knowledge index and a single interaction model. The same product then opens up as responsibility grows — from asking a question, to configuring how the product behaves, to governing what it can reach. Nobody is asked to trust a system they cannot see inside.

Connect Applications

One place to bring in everything the organisation knows.

Search can only answer from the knowledge it can access. By connecting tools like Slack, Jira, GitHub, and Google Drive, teams can create a single shared knowledge base without depending on IT. Clear connection statuses show exactly what data is available, making the platform transparent and easier to trust.

Manage Connections

The place where someone stays responsible for the data.

Connecting a source is easy. Keeping it right is the work. Here, administrators check that data is still updating, choose what should and should not be included, and see clearly what has failed. It turns the knowledge base from something assumed to be correct into something anyone can check — which is the difference between a system people trust and one they quietly stop using.

Personalised Results

An answer to the question, not a list of files to read.

Connecting a source is easy. Keeping it right is the work. Here, administrators check that data is still updating, choose what should and should not be included, and see clearly what has failed. It turns the knowledge base from something assumed to be correct into something anyone can check — which is the difference between a system people trust and one they quietly stop using.

Customise Enterprise Search

The controls that let a company make the product its own.

Every organisation that buys the platform works differently, so the product has to feel like theirs rather than ours. Administrators set how search looks, sounds, and behaves — the branding, the wording, the tools that are switched on, the AI model behind it — on their own, without engineering. The settings are written in plain language, so the person who knows what the organisation needs is the same person who can go and change it.

Agent Marketplace

Where finding an answer turns into getting the work done.

Search answers a question. An agent does the task. This is where teams find ready-made agents for finance, legal, sales or operations and put them straight to work. Making it a store rather than a builder was the point: what one team proves useful, every team can reuse. Each agent shows what it does and whether it has been checked — because the hard part is never finding an agent, it is being allowed to trust one.

These are UnifyApps' published figures from a large financial institution's consent and communications deployment, built on this platform's automation and governance layer. We did not measure them. The configuration, governance, and review flows shown above are what made the timeline possible.

$5.5M

Projected annual cost savings from replacing fragmented, manual consent processes with automated, governed workflows.

800K+

Consumer consents captured in the first two weeks of deployment.

90% faster

Time-to-market — traditional builds of this kind take 12 to 18 months; this shipped in two weeks.

37%

Improvement in message delivery rates after consolidating 27+ messaging systems into one governed channel.

Published in UnifyApps' customer story for this engagement.
unifyapps.com/resources/customer-story

Building this platform showed me that AI performance alone isn't enough. People need to understand, verify, and rely on the system before they'll use it in their daily work. The biggest design challenge wasn't creating AI—it was designing experiences that people could confidently trust.