Integrated workflows
AI embedded in Jira, Confluence and JSM, not bolted-on chatbots.
Enterprise AI Solutions · Design Industries
Beyond tools. Beyond platforms. Enterprise AI that delivers results.
Design Industries builds enterprise-grade AI that integrates seamlessly with your Atlassian ecosystem and cloud workflows, with the precision of a Formula One pit crew and the reliability your organisation demands.
Rovo early adopters & implementation specialists
Melbourne HQ, nationwide delivery
Formula One precision methodology
The enterprise AI opportunity
Most organisations know AI matters. The opportunity is making it deliver inside the tools your teams already use.
AI-ready data
Clean, structured knowledge that makes AI reliable.
Governance clarity
A clear framework so adoption moves in weeks, not stalls for months.
Connected ecosystem
AI wired into the Atlassian ecosystem and cloud workflows, not sitting in silos.
Design Industries builds enterprise AI that is integrated, governed, and built to deliver from day one.
Our AI capabilities
Like a Formula One team's precision engineering, our systematic approach delivers faster AI implementations and better outcomes across three core pillars.
Atlassian AI integration
Seamlessly embed intelligence into Jira, Confluence, and Service Management. We activate Atlassian Intelligence and build custom Rovo agents that automate real workflows.
Rovo agent development & deployment
Automated ticket triage & routing
Confluence knowledge summarisation
Workflow automation & optimisation
Custom AI solutions
Bespoke AI deployments tailored to your unique business logic. From internal knowledge bots to customer-facing agents, designed for your specific outcomes and data.
Internal RAG chatbots on secure data
Custom model tuning & fine-tuning
Customer-facing AI agents
Enterprise knowledge discovery
AI infrastructure & governance
Secure, compliant, and scalable architecture. We handle AI governance, data readiness, and platform security configuration so you can focus on business value.
Data hygiene & vectorisation readiness
Platform security alignment (SOC2, ISO27001, GDPR)
AI governance policies & guardrails
Model-agnostic, future-proof architecture
Your 6-month data transformation journey
From chaotic data silos to a streamlined, AI-ready knowledge base. We guide you through every lap of the race.
01
Month 01
Identify & audit
Comprehensive audit of existing data sources, silos, and Atlassian instance health check.
02
Month 02
Qualify quality
Assessing data relevance, accuracy, and completeness. Flagging redundant or obsolete content.
03
Month 03
Prioritise sources
Ranking data sources based on business impact and ease of integration for AI ingestion.
04
Month 04
Execute cleanup
Tactical removal of ROT (Redundant, Obsolete, Trivial) data and restructuring of key spaces.
05
Month 05
Standardise
Implementing templates, naming conventions, and metadata standards for future-proofing.
06
Month 06
Governance
Establishing ongoing policies, ownership roles, and review cycles to maintain data hygiene.
If you start today, you could have a fully governed, AI-ready data ecosystem by month six.
Garbage in, garbage out
The most sophisticated AI model will fail if your data is a mess. Our Data Hygiene First methodology, part of the DI AI Foundry, ensures your documentation is structured, tagged, and ready for AI before we write a single line of code.
Before optimisation
Duplicate Confluence pages across spaces
Outdated Jira tickets with inconsistent metadata
No clear taxonomy or labelling standards
AI delivers unreliable, hallucinated results
After Design Industries
Structured knowledge base with clear ownership
Consistent metadata and taxonomy standards
High-fidelity embeddings for accurate AI retrieval
AI delivers precise, trustworthy answers
We don't build AI on broken foundations. We fix the foundations first.
Built on a solid foundation
No black boxes. Our layered architecture ensures your data stays yours, security is embedded at every level, and AI capabilities scale as the Atlassian ecosystem evolves.
1. User experience layer
Your teams work where they already work: Jira, Confluence, JSM, and Slack. AI capabilities surface directly inside these tools with zero context switching.
2. AI agent layer
Custom Rovo agents and JSM virtual agents handle repetitive knowledge work, from ticket triage and content summarisation to automated reporting and draft generation.
3. Intelligence engine
Rovo Studio is where agents are built and configured. Atlassian Intelligence and Rovo Search connect them to your organisation's knowledge across every data source.
4. Security & governance
Role-based access controls, acceptable use policies, and audit logging are embedded from day one, not bolted on after deployment. Atlassian Intelligence and Rovo are SOC2 and ISO27001 certified, and GDPR compliant.
5. Data foundation
Clean, structured content across Confluence, Jira, and 80+ third-party connectors including Google Drive, SharePoint, Slack, and Teams. This is where Data Hygiene First begins.
How we help you get there
Structured engagements designed to move you from concept to production, at the right pace for your organisation.
Sprint
AI Fast Start
$5,000+ GST
Rapid prototyping sprint to validate AI use cases, activate Atlassian Intelligence, and demonstrate ROI with production-ready agents.
Entry point
Foundation Package
Tailored
Your entry point to Digital Factory. Includes AI Fast Start alongside platform optimisation, security remediation, and your 12-month roadmap.
Scoped
Data Readiness
Scopedto your environment
Preparing your unstructured data for AI ingestion. We audit, clean, structure, and standardise your knowledge base for reliable AI retrieval.
Scoped
AI Governance
Scopedto your environment
Establishing policies, guardrails, and monitoring frameworks for safe, compliant AI adoption across your organisation.
AI in action: industry outcomes
Every industry has repetitive, high-volume knowledge work that AI can transform. Here's what enterprise AI delivers across the sectors we serve.
| Sector | Challenge | AI solution | Outcome |
|---|---|---|---|
| Financial services | Compliance document retrieval across thousands of policy pages takes hours per enquiry. | Rovo-powered RAG agent searching secure Confluence policy documentation with citation tracking. | Policy answers retrieved in seconds instead of hours |
| Government | Public enquiry backlogs overwhelming service desk staff with repetitive requests. | JSM virtual agent with automated triage, draft response generation, and knowledge base routing. | Staff freed to focus on complex enquiries while routine requests are handled automatically |
| IT services | Repetitive Level 1 support tickets consuming senior engineering time. | AI-powered ticket classification, auto-resolution for known issues, and intelligent escalation routing. | Routine tickets resolved without human intervention, reducing escalation volume |
*Outcomes are illustrative of the types of improvements enterprise AI can deliver within Atlassian ecosystems.
Actual results depend on data quality, organisational readiness, and scope of engagement.
Frequently asked questions
What is enterprise AI for Atlassian?
Enterprise AI for Atlassian integrates intelligent automation directly into your Jira, Confluence, and Service Management workflows. This includes Atlassian Intelligence activation, custom Rovo agent development, AI-powered knowledge retrieval, and automated ticket triage, all governed by enterprise-grade security frameworks. Unlike generic AI tools, these capabilities are built natively into the Atlassian ecosystem your teams already use every day.
Do we need clean data before implementing AI?
Yes, and this is where most AI implementations fail. Our Data Hygiene First methodology ensures your Confluence pages, Jira tickets, and knowledge base are de-duplicated, correctly tagged, and structured for AI ingestion before we deploy any agents. Poor data quality leads to unreliable, hallucinated results regardless of how well the AI is configured. We typically dedicate 2-3 weeks of focused data preparation as part of our implementation framework.
How long does an enterprise AI implementation take?
It depends on scope. AI Fast Start delivers production-ready AI agents in 2-3 weeks. The Foundation Package (50 hours, 3-4 weeks) includes AI alongside broader platform optimisation. Our full Enterprise AI Implementation Framework, covering security assessment, policy development, data preparation, training, and deployment of 8-12 agents, spans 8-12 weeks. The 6-month Data Transformation Journey covers the complete path from audit to ongoing governance.
Is Atlassian AI secure enough for enterprise use?
Yes. Atlassian Intelligence and Rovo are SOC2 and ISO27001 certified, and GDPR compliant. Our implementation framework includes a dedicated security assessment phase with a pre-built security briefing that streamlines your internal review. We establish AI governance policies, acceptable use frameworks, and role-based access controls before activating any AI features. Rovo's HIPAA coverage is expanding: certain Rovo capabilities are now available to HIPAA customers under Atlassian's Business Associate Agreement, with others still being brought into scope. As this is changing quickly, we confirm the exact current position against Atlassian's Trust Center as part of your engagement.
What does enterprise AI cost?
AI Fast Start begins at $5,000 for a 20-hour rapid prototyping sprint. The Foundation Package (50 hours, 3-4 weeks) is tailored to your environment and serves as your entry point to Digital Factory partnership. Data Readiness and AI Governance engagements are individually scoped based on the size and complexity of your Atlassian environment. Platform Discovery is always free with no obligation, it gives you clarity on where to start before committing any investment.
What's the difference between AI Fast Start and the full Enterprise AI Framework?
AI Fast Start is a focused 20-hour sprint that validates AI use cases and gets your first production agents live in 2-3 weeks. It's ideal if you know AI is your priority and want quick proof of value. The full Enterprise AI Implementation Framework is a comprehensive 8-12 week engagement covering security, governance, data preparation, training, and deployment of 8-12 agents across your organisation. Many clients start with AI Fast Start, prove value, then expand through the Foundation Package into Digital Factory partnership.
Can't find what you need? Go to our Support Centre or contact us.
What our customers say
Design Industries are dynamic and great at tailoring Atlassian. We've worked with them for years; I'm always confident they can support our development with enthusiasm, professionalism and benchmark support.
Michael and the Design Industries team have done an incredible job managing the scope and stand-up of our Atlassian instance. The rigour and detail in their process and documentation is incredible.
We reduced a number of tools across regions that caused miscommunication and inefficiency, bringing everyone into a single platform. By using the DI Configuration Patterns, we rapidly scaled Atlassian from 500 to 7,000 users, at the bare minimum doubling the efficiency of our teams, who are working on core banking payment systems such as our .com.
Join the many companies and government businesses we've helped become more efficient
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Ready for your free assessment?
You've seen what we do. If you're ready to explore how Design Industries can optimise your Atlassian investment, let's start with a conversation. No obligation. No sales pressure. Just a straightforward conversation about your Atlassian environment.
Whether you're curious about your Atlassian AI potential or ready to optimise, Platform Discovery is your first step.
Book your free Platform Discovery
30 minutes. No obligation. Same-day scheduling available.
A straightforward conversation about your Atlassian environment
Clarity on where to start before committing any investment
No obligation, no sales pressure