Sound Familiar?
Why Finding the Right Answer Takes So Long
A new support agent needs the current returns policy. It’s somewhere in SharePoint, possibly in an email from last spring, or in a PDF that may or may not be the latest. Twenty minutes later they ask a colleague. AI knowledge search can answer in seconds, with the source attached.
Why Now
When Searching for Knowledge Costs Too Much
New starters take months to get up to speed They spend their first weeks asking where things are. Experienced staff lose hours answering.
A customer gets the wrong policy An agent quotes an out-of-date document. Now you’re handling a complaint as well as the original question.
Staff start pasting documents into public AI tools People want quick answers and use whatever’s available. Your documents are leaving the building.
What Changes
What’s Different Afterwards
Where to Start
How We’d Set Up AI Knowledge Search
Start with the free review
We look at where your knowledge lives, how current it is and how permissions are set.
What you’ll have: A clear view of content and access readiness
Pilot with one team
We help set up AI search for one team’s knowledge and measure how it performs on real questions.
What you’ll have: Evidence that answers are accurate and useful
Expand carefully
We help extend to more teams and content, with governance for quality and access.
What you’ll have: Trusted AI search across the business
Want the full method? See Enterprise Generative AI on Azure OpenAI and Bedrock.
Your First Step
Start with a Free AI Knowledge Search Review
We’ll look at where your knowledge lives, how current it is and how access is controlled. You’ll get an honest view of readiness for AI knowledge search and a clear pilot plan.
Book an AI Knowledge Search Review
- We walk you through the findings on a call.
- Then it’s your decision, with no obligation to go further.
Scope
- Knowledge sources for one or more teams
- Content quality, versions and permissions
You Provide
- A list of key knowledge sources
- Admin read access to permissions
- Common questions staff ask today
You Receive
- Content and permission issues to fix
- A suitable team for a first pilot
- Success measures for the pilot
Cost and Timing
- Free, with a fixed scope
- Timing depends on your estate, so talk to us
Try This First
Quick AI Knowledge Search Readiness Checks
These checks show whether your content and permissions are ready for AI search.
Time how long one common question takes
Ask a colleague to find the answer to a frequent question and note how long it takes and where they look.
Check permissions on a sensitive folder
If too many people can open it, AI search would show its contents to them too. Fix access first.
Count duplicate versions of a key document
Search for one policy or procedure. Several versions mean answers could be based on the wrong one.
List the sources a team relies on
Note file shares, wikis, tickets and chat. That’s the scope AI search would need to cover.
Ask whether staff use public AI tools at work
If they do, a governed internal option is overdue.
Why Signisys
Why Take Our Advice on This
FAQs
Frequently Asked Questions
What happens after the review?
We walk you through what we found on a call. You can act on it with your own team, or ask us to help with the bigger changes. Either way, it’s your decision and there’s no obligation.
Will AI search show people documents they shouldn’t see?
It shouldn’t, if it’s set up to respect existing permissions. That’s why permissions are checked first: AI search exposes whatever people can already open, so loose access needs fixing before switching it on.
How accurate are the answers?
Accuracy depends mostly on the quality of your content. With current, well-organized documents and citations on every answer, people can check the source quickly. A pilot measures accuracy on real questions before any wider rollout.
What about out-of-date documents?
They’re the biggest cause of wrong answers. The review identifies duplicates and stale content, and good setups give priority to recent, approved sources while older material is archived or removed.
Does AI knowledge search work with SharePoint and Teams?
Yes. AI knowledge search can draw on SharePoint, Teams, file shares and other systems, depending on the platform. The review looks at which of your sources matter most to cover.
How is this different from extracting data from documents?
Knowledge search answers people’s questions using many documents at once. Document extraction pulls specific fields, like invoice totals, into business systems automatically. Both use AI, but they solve quite different problems.
Find Answers, Not Files
A free review shows whether your content and permissions are ready for AI search, and where to pilot it.
Related Content
Keep Reading
Business Outcome
Put AI and Automation to Work
Use Case
