Embed AI into existing tools and workflows
Successful AI adoption starts with strong processes. We take a process-first approach - working with organisations to improve how work gets done before embedding AI into existing tools and workflows.
From portfolio strategy to software delivery and service management, we help organisations move beyond AI experimentation and embed it where it drives measurable business impact.
Talk to us about your AI ambitions
Why AI isn’t delivering (yet)
Many organisations are investing in AI, but few are seeing consistent, measurable value.
AI pilots that never scale into production
Uncertainty around where to start - and how to prove ROI
AI initiatives disconnected from real operational processes
Fragmented data and knowledge environments that limit AI effectiveness
Lack of clear ownership, governance, and measurement for AI initiatives
Our approach to AI transformation
Successful AI adoption isn’t just about deploying new technology. It requires connecting strategy, processes, and people so AI can deliver measurable impact.
We focus on three key principles:
Start with real operational challenges
Rather than experimenting with AI in isolation, we identify high-impact use cases across multiple areas where AI can quickly create measurable value.
Deliver measurable outcomes from day one
Our approach ensures every AI initiative is tied to clear performance improvements, from faster service resolution to more predictable delivery and better investment decisions.
Our AI accelerators
Most organisations start with one of these accelerators depending on whether their priority is strategy, engineering, or service ops.
Combine proven portfolio management practices with AI-driven insights to make strategically aligned investment decisions.
Key outcomes:
- Stronger alignment between initiatives and business strategy
- Increased visibility of portfolio performance, spend and capacity
- Accelerate time-to-value across the portfolio
Gain a clear, data-driven understanding of how work truly moves through your organisation and teams.
Key outcomes:
- Automate repetitive development workflows
- Accelerated developer productivity and focus on high-value work
- Improved delivery predictability
Turn Rovo into your organisation’s AI assistant – embedded directly into the tools your teams already use.
Key outcomes:
- Unlock enterprise knowledge across tools and systems
- Automated workflow efficiency
- Smarter and AI-powered decision-making
Jira Service Management combined with AI solution that can embed an intelligent and scalable ITSM into your environment.
Key outcomes:
- Reduced ticket resolution times
- Intelligent triage and automation
- Improved service performance visibility
Trusted by organisations across the globe
Explore our collection of AI & Rovo Agent use cases
AI can be embedded across service ops, data management, engineering, delivery and more. Here are some examples of how our clients are applying AI in practice
Our recognitions
Why choose AI implementation with us?
20+ years of experience
We’ve been delivering intelligent automation and data-driven solutions long before AI became a buzzword - now we’re helping companies apply it with clarity and precision.
End-to-end skillset in integrating AI
Our experts design the right AI architecture, embed intelligence into your workflows, build scalable internal capabilities, and guide your teams through every stage of adoption.
Expertise with all the top technologies
We select the right tools for your use case, from machine learning platforms to intelligent automation and enterprise AI integrations.
Invested in your success
We act as a long-term partner, not a one-off vendor - staying with you beyond delivery to ensure adoption and sustainability.
We design solutions that work within your architecture, not around it. Our Accelerators are platform-agnostic and integrate with leading enterprise ecosystems, including:
Operational platforms
Where teams collaborate, deliver work, and manage services using tools like Atlassian and Rovo, as well as Retool.
Cloud and infrastructure platforms
Supporting scalable AI and automation services through platforms such as AWS, Google Cloud, and Microsoft platforms.
Enterprise data environments
Providing the data foundations AI systems rely on, including Snowflake, Databricks, and existing data warehouses and analytics platforms.
Ready to accelerate AI that actually delivers?
Every organisation’s AI journey starts in a different place. Our specialists will work with you to identify the most valuable opportunities, prioritise the right accelerator, and create a clear path from experimentation to measurable results.