Q Platform

Q Platform

Enterprise AI for every employee, deployed in your Azure environment.

Q Platform Clients

AI that works safely inside your Azure environment.

Q Platform (formerly known as QBot) runs entirely within your Azure tenancy, giving you full control over data, identity, access, and compliance. No external data sharing. No shadow AI. Just secure, governed AI built for enterprise use.

Q Platform — secure AI inside your Azure Entra ID tenant
Q Platform — governance, guardrails and visibility

Governance and guardrails built for large organisations.

Every agent operates under strict policy enforcement, safety settings, and model controls. You decide which LLMs are approved, what data they can access, and how they behave (including enforcing your organisation’s tone, terminology, and brand voice), with complete visibility over every action.

Full auditing and traceability across all AI activity.

Every prompt, response, grounding source, and agent action is logged. Compliance teams get defensible records, audit-ready outputs, and deep observability across the entire AI stack.

Q Platform — full auditability of AI response logs and monitoring
Q Platform — grounded knowledge sources from your secure enterprise data

Grounded in your knowledge, not the open internet.

Agents retrieve information only from the knowledge sources you approve, all within your Azure tenant. This ensures accuracy, reduces risk, and keeps organisational data exactly where it belongs.

Prebuilt agents for real world scenarios and workflows.

From HR and Legal to Compliance, Education, Safety, IT and more, Q Platform includes over 60 ready-to-use agent templates that can be customised to your organisation’s processes, systems, and governance requirements.

View agents
Q Platform — prebuilt, secure AI agents
Q Platform — secure AI connects to your business systems

Connects to your existing systems.

Agents integrate with SharePoint, ServiceNow, Jira, SQL databases, APIs, and other common business applications (ERP, CRM, Human Resources & Team Collaboration Apps), enabling automation, workflows, and real time insights across your existing technology stack.

Enterprise grade observability and performance monitoring.

With Power BI, Application Insights, and Log Analytics, you get deep visibility into agent usage, grounding sources, performance, and compliance posture across your organisation.

Q Platform — observability and reporting

Architected for scale, security and real world deployment.

Q Platform is built on Azure foundations – Entra ID, Managed Identities, Azure RBAC, Defender for Cloud, and Azure Policy – ensuring enterprise grade governance from day one.

Q Platform enterprise AI architecture diagram

Q Platform deployed at NRMA

NRMA transformed how its people work by deploying secure, role specific AI assistants across Microsoft Teams and Azure. Instead of scattered information and manual tasks slowing staff down, NRMA now delivers fast answers, safer workflows and measurable productivity gains.

Case Study
AI Solution Comparison

What’s the difference between Copilot vs Copilot Studio vs Q Platform?

Q Platform and Copilot are complementary. Many organisations run both, Copilot for individual productivity inside Microsoft 365, and Q Platform for the use cases that need deeper integration, stronger governance, and multi-persona deployment.

Microsoft Copilot
Copilot Studio
Q Platform
Primary purpose Individual productivity within Microsoft 365 apps Low-code agent building inside the M365 ecosystem ✓ Enterprise-grade AI platform for complex, multi-persona deployments
Best suited for Helping individuals draft, summarise, and manage tasks in Teams, Word, Outlook Building simple internal chatbots and workflow agents without code ✓ Complex use cases, regulated environments, multi-audience deployments
Data sovereignty Microsoft cloud — within your M365 tenancy Within your M365 tenancy — limited control over data flows ✓ Fully inside your Azure tenancy — complete data sovereignty
Integrations Microsoft 365 apps only M365 and basic third-party connectors ✓ SharePoint, CRM, ERP, LMS, case management, custom systems, and more
Multiple AI personas ✕ Single assistant per user △ Limited to simple, single-topic agents ✓ Multiple agents for staff, students, customers — each with its own knowledge base
Audit and compliance Standard M365 audit logs △ Basic logging — limited compliance depth ✓ Full audit logging, content filtering, Microsoft Entra ID RBAC, responsible AI controls
External system access ✕ Microsoft 365 only △ Limited — requires significant custom work for complex integrations ✓ Pre-built connectors for CRM, ERP, case management, and custom APIs
Model flexibility OpenAI’s latest models OpenAI and Anthropic’s latest models ✓ Any model in Azure AI Foundry — OpenAI, Anthropic Claude, Meta Llama, and more
Primary purpose
Microsoft CopilotIndividual productivity within Microsoft 365 apps
Copilot StudioLow-code agent building inside the M365 ecosystem
Q Platform (by Antares)✓ Enterprise-grade AI platform for complex, multi-persona deployments
Best suited for
Microsoft CopilotHelping individuals draft, summarise, and manage tasks in Teams, Word, Outlook
Copilot StudioBuilding simple internal chatbots and workflow agents without code
Q Platform (by Antares)✓ Complex use cases, regulated environments, multi-audience deployments
Data sovereignty
Microsoft CopilotMicrosoft cloud — within your M365 tenancy
Copilot StudioWithin your M365 tenancy — limited control over data flows
Q Platform (by Antares)✓ Fully inside your Azure tenancy — complete data sovereignty
Integrations
Microsoft CopilotMicrosoft 365 apps only
Copilot StudioM365 and basic third-party connectors
Q Platform (by Antares)✓ SharePoint, CRM, ERP, LMS, case management, custom systems, and more
Multiple AI personas
Microsoft Copilot✕ Single assistant per user
Copilot Studio△ Limited to simple, single-topic agents
Q Platform (by Antares)✓ Multiple agents for staff, students, customers — each with its own knowledge base
Audit and compliance
Microsoft CopilotStandard M365 audit logs
Copilot Studio△ Basic logging — limited compliance depth
Q Platform (by Antares)✓ Full audit logging, content filtering, Microsoft Entra ID RBAC, responsible AI controls
External system access
Microsoft Copilot✕ Microsoft 365 only
Copilot Studio△ Limited — requires significant custom work for complex integrations
Q Platform (by Antares)✓ Pre-built connectors for CRM, ERP, case management, and custom APIs
Model flexibility
Microsoft CopilotOpenAI’s latest models
Copilot StudioOpenAI and Anthropic’s latest models
Q Platform (by Antares)✓ Any model in Azure AI Foundry — OpenAI, Anthropic Claude, Meta Llama, and more

What Q Platform does that basic AI tools can’t

Most AI tools act like simple chatbots. Q Platform is a governed enterprise platform built for real organisations, with the controls, stability, and deployment model required to run AI safely at scale.

Icon — runs entirely inside your Azure environment

Runs entirely inside your Azure environment

Complete data sovereignty, identity control, and compliance, no external data sharing.

Icon — works against your real systems and documents

Works against your real systems and documents

Agents operate on your actual records, processes, and enterprise data, not generic internet content.

Icon — multiple governed agents on one platform

Multiple governed agents on one platform

Deploy HR, Legal, IT, Compliance, Education and customer facing agents from a single, fully governed environment.

Icon — stable abstraction layer across model changes

Stable abstraction layer across model changes

Switch between OpenAI, Anthropic, or Meta models in Azure AI Foundry without breaking your agents or workflows.

Icon — enterprise-grade audit, safety and access controls

Enterprise‑grade audit, safety and access controls

Every prompt, response and grounding source logged, with Microsoft Entra ID RBAC and responsible AI controls.

Icon — priced per deployment, not per user

Priced per deployment, not per user

Scale AI across your organisation without multiplying licence costs, predictable, enterprise pricing.

Real-world use cases

What can an AI agent actually
do in your organisation?

These are the use cases we see working in production across Australian organisations right now — not experiments, not demos. Filter by function or sector to find the ones most relevant to you.

Contact us

See how Q Platform can support your people, systems and governance requirements. Schedule a consultation or live demo.

Frequently asked questions

FAQs about Q Platform

No. Q Platform runs entirely inside your Azure environment, using your Entra ID, your security controls, and your governance policies. All prompts, responses, grounding sources, and agent actions stay within your Azure tenancy, never leaving your environment or being sent to external services. This is one of the core reasons organisations choose Q Platform over basic AI tools.

Q Platform and Microsoft Copilot are complementary. Copilot is designed for individual productivity inside Microsoft 365 apps. Q Platform is designed for enterprise‑grade AI deployments, multi‑persona agents, deep system integration, full auditability, and strict governance. Most organisations run both: Copilot for personal productivity, and Q Platform for the use cases that require stronger controls, custom workflows, and access to enterprise systems.

Yes, Q Platform solves a different class of problems. Copilot Studio is excellent for simple chatbots and workflow automations inside the M365 ecosystem. Q Platform is built for complex, multi‑audience, multi‑system deployments with full data sovereignty, Entra ID RBAC, audit logging, and enterprise governance. If you need agents that operate across CRM, ERP, case management, SQL databases, APIs, or regulated workflows, Q Platform is the right comparison.

Most organisations deploy Q Platform in a matter of weeks. The limiting factor is having clarity on use cases (agents) and having your data sources in a state where they can be connected. We can typically deploy the use cases from initial idea to UAT and then production in 3 to 6 weeks.

Q Platform is priced per deployment, not per user. This means you can scale AI across your entire organisation without multiplying licence costs. Pricing depends on project scope, number of agents, and integration requirements. Contact us for a quote.

The Q Platform managed service covers the full lifecycle of your AI deployment, including:

  • Platform hosting inside your Azure environment
  • Governance configuration and policy enforcement
  • Agent design, tuning, and optimisation
  • Integration with your enterprise systems
  • Monitoring, audit logging, and observability
  • Ongoing updates, improvements, and support
  • Access to new agent templates as they are released

It ensures your AI deployment remains safe, compliant, and continuously aligned to your organisation's needs.

Q Platform is deployed across government, education, financial services, community services, healthcare, utilities, and large enterprise. Clients include many well known Australian organisations.

Yes, Q Platform supports any model available in Azure AI Foundry, including OpenAI, Anthropic Claude, and Meta Llama. You choose which models are approved for your organisation, and Q Platform enforces those choices through governance and policy controls. You can also switch models without breaking your agents, thanks to Q Platform's stable abstraction layer.

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