Upending Knowledge Management With AI-Powered Knowledge Base
90%
Faster case study delivery
What the tool does to the time a case study takes to produce.
479
Questions in month one
Asked by 49 users in the first month of the knowledge base being live.
<1 min
Per complex query
Specific, complicated questions answered in under a minute.
The client
Netguru Memory is an AI-powered knowledge base built internally: a central repository that stores, organises and shares knowledge across the business.
It uses AI and machine learning both to search enormous internal databases at speed and to assemble case studies, generated by AI, for use inside and outside the company.
The challengeWhat the teams actually needed
Information that is easy to reach helps a company adapt, respond and promote itself. Information scattered across platforms does the opposite — and according to Gartner, nearly 97% of organisational data sits unused.
Challenge 01Silos grow with the company
The bigger the organisation, the more tangled its internal data gets — and the likelier it becomes that knowledge ends up somewhere nobody looks.
Challenge 02Not only an enterprise problem
It does not take thousands of projects to lose track — fragmented information across platforms and channels is enough on its own.
Challenge 03Delay as the real cost
Poor information flow slows business development, marketing and project delivery alike.
What we did
Gather everything, then let people ask for it in plain language
Memory has two halves: one gathers data, the other consumes it. Together they hold what we know about clients, their challenges, our solutions and how the work turned out.
Pulled in automatically
Data is collected from Salesforce, Google documents, Slack, Confluence, presentations and published material, then enhanced with AI mechanisms so it can be retrieved sensibly.
An assistant that drafts
The gathered material feeds an AI assistant that customises case studies, presentations and messages from a mix of automatic and manual input, exporting to Google Slides, PDFs or landing page drafts.
Ask it like a person
An omnichannel search bot offers a natural language interface for finding similar projects and solutions across thousands of past engagements.
Used daily, not demoed
Business developers and marketers use it as part of their day, which speeds up decisions and automates workflows across the business.
Tech stackThe tools that made it possible
01
Azure OpenAI
Behind the auto-generated content and its refinement.
02
Azure Cognitive Search
Powering the knowledge base bot and the complex queries it answers.
03
Salesforce
Integrated with the model layer, putting the assistant inside the CRM itself.
Netguru quote
Before Netguru Memory, I used to get so many questions about projects, solutions, clients, or context, I was literally a human knowledge center, with a very limited interface. I’m happy to say I’m not the go-to database anymore!
More like thisOther places we scaled product teams for growth.
What’s next