AI Knowledge Assistants · Built on Microsoft Azure
Make your policies, procedures, and institutional knowledge instantly accessible — in the tools where your people already work.
Every organisation accumulates years of knowledge in policies, guides, SOPs, and the heads of experienced staff. The problem isn’t a lack of knowledge — it’s that the wrong person can’t find the right answer fast enough. AI knowledge assistants change that equation, permanently.
Most organisations don’t have a knowledge problem — they have a knowledge access problem. Decades of policy, process, and institutional expertise are locked in document libraries, intranet pages, shared drives, and the minds of long-serving staff. The result is wasted time, inconsistent answers, and decisions made on incomplete information.
Staff know the answer exists somewhere — in a policy document, an old email chain, a SharePoint folder someone else manages. Finding it reliably takes time they don’t have, so they ask a colleague, who asks someone else. The answer eventually arrives. Fifteen minutes after the moment it was needed.
When the same question gets asked to three different people, three slightly different answers go back out. In regulated environments — insurance, education, aged care, NFP services — that inconsistency isn’t just inefficient. It creates compliance risk and erodes confidence in the institution.
In organisations where a handful of senior staff carry most of the institutional knowledge, every departure is a knowledge loss event. New starters spend their first months asking questions that experienced staff find repetitive. The same knowledge gets re-explained, over and over, instead of being deployed once and made accessible permanently.
Document libraries fill up. Policies get updated but the old version stays on the intranet. Staff learn quickly that they can’t fully trust the documentation, so they verify with colleagues anyway. The documents exist to be useful; they stop being useful because nobody can trust they’re current.
Subject matter experts — compliance officers, experienced nurses, senior educators, HR managers — spend disproportionate time answering the same questions from colleagues. This isn’t their highest-value work. AI knowledge assistants free them to do the work that actually requires their judgement and expertise.
New staff start at a significant knowledge deficit. Without fast, reliable access to the organisation’s accumulated knowledge, it takes months to become truly effective. The first person they ask shapes what they believe is true — which may or may not match the documented policy. An AI knowledge assistant removes that lottery from onboarding.
How it works
Built on Microsoft Azure AI Foundry and deployed inside your own Azure tenancy. Every answer is grounded in your indexed content and cites the source, so staff can verify. Every interaction stays within your environment.
Your SharePoint libraries, policy documents, SOPs, training materials, and knowledge bases are indexed and made queryable. The assistant answers from your actual content — not generic training data — and cites the source document so staff can dig deeper if needed.
Different staff see different content. Microsoft Entra ID governs who can access what — a frontline worker gets answers relevant to their role; a manager gets access to additional content. Different personas can be deployed for distinct audiences: staff, students, volunteers, customers.
Deployed natively inside Microsoft Teams, SharePoint, and web browsers — no new platform to adopt. Staff ask questions in the same interface they use for everything else. That familiarity is why adoption rates are high and why the knowledge actually gets used.
Every query, every response, every interaction log stays within your environment. Data sovereignty applies to the knowledge assistant exactly as it applies to everything else in Azure. No shared cloud platform, no data used to train external models.
As your documents are updated, the indexed knowledge updates. Usage analytics show which questions are being asked most frequently — surfacing gaps in documentation and opportunities to improve your knowledge base over time. The assistant gets more useful as you maintain it.
In production
Across insurance, education, and the not-for-profit sector, the underlying challenge is the same — staff spending time looking for answers that should be instant. These are the deployments we’ve delivered.
Insurance · Enterprise AI · Azure
NRMA is one of Australia’s best-known membership organisations — a large, operationally complex workforce spanning motoring, travel, tourism, and frontline services. As the organisation grew, staff spent significant time navigating fragmented systems to find information.
Antares deployed QBot inside NRMA’s Azure tenancy — branded through a staff naming competition as “NRM8” (NRMA Mate). The platform now includes the m8 series: NRM8 for general staff knowledge, Chatm8 and SIXTm8 for specific operational functions. Contact centres gained rapid access to accurate customer information. Talent teams had job ad creation automated. Technical teams found document search dramatically faster. Report generation fell from roughly a week to around ten minutes.
Security was non-negotiable: Azure AD SSO, role-based access controls, and private network endpoints ensure data sovereignty throughout.
Independent School · Multi-persona AI · K–12
Haileybury College presents a challenge common across large independent schools: a complex knowledge landscape spanning curriculum, policy, administration, and pastoral care — with three distinct audiences who each need different information delivered in different ways.
Antares deployed a multi-persona AI knowledge platform on QBot inside Haileybury’s Azure environment. Staff have an assistant grounded in school policies, procedures, and internal knowledge. Students can ask curriculum and admin questions within boundaries appropriate to them. Each persona operates from a separate knowledge scope, with tone and content access calibrated to the audience.
The result is a single platform that serves the whole school community — with governance that ensures each audience only accesses what they should, and that sensitive institutional knowledge stays where it belongs.
Not-for-Profit · Knowledge Access · National
Mission Australia is a national NFP delivering around 450 programmes across Australia — homelessness, mental health, family services, and substance dependency support. With 2,800 employees and thousands of volunteers spread across metropolitan and regional sites, keeping a lean IT team and a geographically dispersed workforce connected to current, accurate information is a genuine operational challenge.
Antares has been Mission Australia’s strategic Microsoft technology partner across their digital transformation journey. Building on that foundation, the focus has turned to deploying an AI staff assistant — grounded in Mission Australia’s internal knowledge, accessible to staff wherever they work, and designed to answer the high-frequency questions that currently consume disproportionate time from central teams.
The Microsoft-based infrastructure already in place — Office 365, Azure, SharePoint — provides the platform the knowledge assistant needs to be deployed securely and quickly.
Where it gets deployed
An AI knowledge assistant can serve multiple different audiences from a single platform — each with their own knowledge scope, tone, and access controls. Here are the most common deployment patterns we see across sectors.
Your staff generate more ad hoc knowledge queries than any other audience — HR policy, IT procedures, compliance requirements, financial processes, procurement rules. Most of those queries have a documented answer. The assistant surfaces it in seconds, cites the source, and frees central teams from fielding the same questions repeatedly.
Most useful for organisations with distributed workforces, complex policy environments, or high rates of staff turnover — where consistent, reliable knowledge access is a daily operational need rather than an occasional requirement.
Students generate high volumes of repetitive administrative queries — enrolment, assessments, deadlines, campus services, course requirements. Those queries don’t need a human to answer them; they need accurate, instant responses grounded in the institution’s actual policies and content.
A student-facing assistant operates within a defined scope (no access to staff-only content, no access to other students’ data) and is calibrated in tone to match the institution’s approach to student communication. Available 24/7 — including the night before an exam.
Frontline and field workers are often the furthest from where institutional knowledge lives — and the most dependent on having the right answer quickly. Whether it’s a care worker checking protocol on a client visit, a field technician needing a procedure, or a social worker navigating service entitlements, the cost of a wrong or delayed answer is high.
An assistant deployed for frontline staff is typically accessed via mobile — Teams on a phone — and is calibrated for short, action-oriented responses. It pulls from the operational documentation most relevant to fieldwork, rather than the full document library.
Contact centre agents handle high volumes of customer queries — many of which require looking up policy, procedure, or product information in real time. When that lookup is slow, average handling time increases. When the answer is inconsistent, customer satisfaction drops and compliance risk rises.
A contact centre knowledge assistant acts as the agent’s co-pilot: surfacing the right answer from policy and product documentation while the customer is on the line, ensuring consistency, reducing escalations, and bringing new agents up to speed faster.
Volunteers present a specific knowledge challenge: they’re often part-time or episodic, may not work closely alongside experienced staff, and have limited access to the informal knowledge networks that full-time employees rely on. They need the organisation’s knowledge to be available on their terms — in the moment, outside business hours, without requiring a coordinator to be on call.
An AI knowledge assistant deployed for volunteers handles the high-frequency questions about procedures, safeguarding, roles, and policies that would otherwise consume coordination staff time — and makes every volunteer feel as informed as an experienced staff member.
How to get started
The most common barrier to deploying an AI knowledge assistant isn’t the technology — it’s the absence of a structured starting point. Our engagement model is designed to give you clarity before you commit and something working in production as fast as possible.
We map your knowledge landscape — what content exists, where it lives, who needs access to what, and which assistant use cases will deliver the most immediate value. Deliverable: a concrete deployment plan with sequenced priorities and effort estimates.
We prepare your source content — indexing SharePoint libraries and document repositories in Azure AI Search, configuring retrieval pipelines, and standing up your Azure AI Foundry environment inside your tenancy. The assistant has something real to draw from before we deploy it.
First production assistant goes live inside Teams and SharePoint. Role-based access controls configured. Usage analytics activated. The assistant is in the hands of real users, answering real questions from your real content — not a demo, a live production deployment.
Additional personas, broader content indexing, deeper integrations, and ongoing tuning — delivered in fortnightly sprints by a named team that knows your platform. Usage data drives prioritisation. The assistant evolves as your knowledge base evolves.
Why Antares
The case studies above aren’t representative deployments or controlled pilots — they’re live systems, used daily, by real staff. That production experience is what we bring to every new engagement.
Over 20 years of Microsoft partnership and a practice built entirely on the Microsoft stack. We use Azure AI Foundry, Azure AI Search, Semantic Kernel, and Microsoft Entra ID on every engagement — because that’s all we do. That depth matters when the architecture decisions get complex and the governance requirements get specific.
Every assistant we build runs inside your Azure tenancy. Your documents, your queries, your interaction logs — none of it leaves your environment. We don’t offer this as an option; it’s the only architecture we use. For organisations in regulated sectors, that’s not a preference — it’s a requirement.
We understand what knowledge management looks like inside an insurance contact centre, an independent school, a national NFP delivering community services, and a health organisation operating across distributed sites. That sector knowledge shapes the architecture and adoption approach from the start — not as an afterthought.
A two-week Discovery Workshop to scope the work. Four to six weeks to a first live deployment. We’ve designed the engagement model specifically to reduce the time between first conversation and something your organisation actually uses — because the knowledge value is in the deployment, not the planning.
Deploying an assistant and walking away doesn’t work. Knowledge changes, usage patterns surface gaps, new content needs to be indexed, and access controls need to evolve as your organisation does. Our managed service provides ongoing monitoring, content updates, and capability development in fortnightly sprints — with a named Technical Lead who knows your deployment.
Based in Sydney and Melbourne. Every engagement is led and delivered by an Australian team with no offshore handoff. The team that runs the Discovery Workshop is the team that builds the deployment. There’s no account management layer between you and the people doing the work.
Common questions
Start with a fixed-fee Discovery Workshop — two weeks to map your knowledge landscape, identify the highest-value use cases, and produce a concrete deployment plan. Or book a 30-minute conversation first to talk through your situation.
We work with organisations across insurance, education, not-for-profit, health, and financial services. Sydney and Melbourne-based team — available for in-person sessions.
