Skip to main content
Self-Service Knowledge

Knowledge Assistant

Your organisation has answers. They're just buried in SharePoint, scattered across intranets, and locked in people's heads.

Knowledge Assistant
The Business Problem

Finding information shouldn't be the hard part

Your organisation has the answers. But getting those answers to the people who need them, that's where things break down.

The New Starter
"I've been here three weeks and I still don't know who to ask about leave requests. I asked three different people and got three different answers."

You feel stupid for not knowing basic things. The intranet is a maze. You've bookmarked 47 pages but can't find anything when you need it. You're afraid to ask your manager again because you don't want to look incompetent.

What if you've been doing something wrong for months because nobody told you the process changed?

The Customer Service Rep
"A customer is on the phone waiting while I'm searching through SharePoint trying to find the current fee schedule. By the time I find it, they've given up."

You've got 15 different folders bookmarked but nothing is where you expect it. The policy you found says "updated 2021". Is that still current? Your colleague gives different answers to the same question. Neither of you knows who's right.

What if you give a customer the wrong information and it comes back as a formal complaint?

The Subject Matter Expert
"I spend two hours a day answering the same 10 questions from different people. I could send them a link but nobody can find anything on our intranet."

Your expertise has made you a bottleneck. Everyone knows to "just ask Sarah" instead of learning the systems. You can't focus on actual work because Teams is constantly pinging. You've written documentation that nobody reads because they can't find it.

What happens when you go on leave? What happens when you leave?

The Team Lead
"Someone in my team gave a customer wrong information because they found an outdated policy document. It wasn't their fault. The old and new versions look identical."

You've got multiple versions of the same document across different systems. Nobody knows which is authoritative. Policies get updated but the old versions don't disappear. Training new staff takes months because there's so much tribal knowledge.

What if the inconsistent information causes a compliance issue that lands on your desk?

The Deeper Issue

The hidden cost of inaccessible knowledge

These aren't just annoyances. They're measurable drains on productivity, expertise, and morale.

2.5hrs
Per day searching

The average knowledge worker spends 2.5 hours daily just looking for information they need to do their job.

60%
Say it's too hard

Majority of employees report that finding internal information is harder than it should be.

8–12
Months to productivity

New employees take 8-12 months to reach full productivity. Much of that time is learning where information lives.

5–15
Hours/week for SMEs

Subject matter experts spend 5-15 hours weekly answering routine questions instead of strategic work.

The compounding effect

Each of these problems makes the others worse. Experts spend time answering questions → less time creating documentation → documentation gets stale → more questions to experts → experts burn out → institutional knowledge walks out the door. It's a vicious cycle that a single intervention can break.

The Solution

An AI front door for your organisation's knowledge

A conversational interface that connects people to the information they need, without having to know where it lives or how it's structured.

Ask in plain language

No special syntax. No keywords. No search tricks. Just ask a question like you'd ask a helpful colleague.

“What's our policy on flexible working?” returns the current policy with relevant excerpts and links to full documentation.

Every answer cites sources

No black-box answers. Every response includes citations. Click through to verify and read the full context.

Answer cites “HR Policy v3.2, Section 4.1” with a direct link to the source document in SharePoint.

How It Works

Enterprise knowledge, consumer-simple access

Behind the simple chat interface is a sophisticated system that connects, indexes, and synthesises information across your organisation.

01

Connect your knowledge sources

We index your SharePoint, intranet, document management systems, wikis, and structured databases.

How

Not a data migration. Your content stays where it is. We create a unified search layer that respects your existing systems and permissions.

Result

One interface to all your knowledge. No more hunting across systems.

02

Understand the question

Natural language processing figures out what the user actually needs, not just keyword matching.

How

"What's the process for requesting equipment over $5K?" and "How do I buy a laptop?" might have the same answer. The system understands intent.

Result

Users ask questions like humans. No special syntax or search tricks required.

03

Retrieve relevant content

Semantic search finds the most relevant information across all connected sources.

How

Not just documents that mention the keywords, but documents that actually answer the question. Ranking considers recency, authority, and relevance.

Result

The right information surfaces first. Every time.

04

Generate a cited answer

AI synthesises information into a clear, direct answer with clickable citations.

How

Every claim links back to source documents. Users can verify anything with one click. No black-box answers.

Result

Answers you can trust because you can check them.

05

Respect access controls

Answers reflect only what the user is authorised to see based on your existing permissions.

How

HR staff get full policy details. General staff get the summary appropriate to their role. No information leakage.

Result

Enterprise-grade security without extra complexity.

06

Learn from feedback

SMEs can flag answers as incomplete or incorrect. The system incorporates corrections.

How

When an expert says "actually, the policy changed last month", the system learns. Future queries get the updated answer.

Result

Gets smarter every day based on real usage.

The Outcome

Measurable improvements, immediate impact

A knowledge assistant doesn't just feel better. It delivers quantifiable results you can see in weeks, not months.

70%Fewer routine questions

SMEs get their time back. The questions that used to interrupt their day are now answered instantly.

One government agency reduced their IT helpdesk ticket volume by 72% within 3 months of deploying a knowledge assistant.

85%Faster time-to-answer

What used to take 15 minutes of searching now takes 15 seconds of asking.

Customer service teams report average query resolution dropping from 8 minutes to under 1 minute for policy questions.

100%Consistent answers

Everyone gets the same answer to the same question. No more "depends who you ask."

Eliminates the risk of different staff giving conflicting information to the same customer.

50%Faster onboarding

New starters become productive faster because they can find answers without waiting.

Reduces the 8-12 month time-to-productivity by eliminating the "learning where things live" phase.

Honest Answers

Concerns we hear, and how we address them

"What if the AI gives wrong answers?"

Every answer includes citations to source documents. Users can verify with one click. More importantly, answers are bounded to your actual content. The system can't make things up that aren't in your knowledge base. And when something is wrong, SMEs can flag it immediately.

"Our information is sensitive. We can't use AI."

The system respects your existing access controls. A finance officer only sees finance information. A new starter only sees what new starters should see. We deploy on Azure within NZ boundaries. Your data never leaves your jurisdiction and never trains external models.

"People will stop reading documentation and become dependent on AI."

Good. Documentation exists to be useful, not to be read cover-to-cover. The goal is getting people the right information quickly. Every answer includes links to full source documents for those who want the complete context.

"We tried an intranet search upgrade and nobody used it."

Traditional search requires users to guess the right keywords. A knowledge assistant understands questions in natural language. The difference in adoption is dramatic: people actually prefer asking questions to crafting search queries. Usage data from deployments consistently shows 5-10x the engagement of keyword search.

Give your team instant answers

Let's discuss how a Knowledge Assistant can reduce friction, free up your experts, and make information accessible to everyone who needs it.