We are a Business Applications Consultancy with deep industry expertise that translates technology solutions to business outcomes. We deliver solutions that lead to your customers relishing doing business with you, your teams thrive working for you, and data that empowers you to make timely and informed decisions.
From ERP and Power Platform to data strategy, app innovation, and Azure infrastructure — ECLEVA is independently assessed and recognised by Microsoft across four solution areas.
When ECLEVA began in 1996, automation meant something very different. Three decades later, we’re helping organisations explore how AI agents can work alongside their people.
As we celebrate our 30th anniversary, we’re proud to have earned the Microsoft Agentic Business Solutions Specialisation. This recognition reflects where we’re heading, built on 30 years of helping organisations turn emerging technology into practical, meaningful outcomes.
The technology has changed enormously since 1996. Our mission hasn’t. We continue to find better ways to apply technology so organisations, their people and the communities they support can thrive.
NDIS providers often manage participant onboarding, agreements and workforce compliance across disconnected forms, inboxes and systems.
Watch the on-demand webinar from ECLEVA, Docusign and Microsoft to discover how connected platforms, automation and AI can bring these processes together, helping your teams spend less time chasing information and more time delivering meaningful support.
As the coronavirus (COVID-19) pandemic spreads through communities across the globe,...
As news of COVID-19 (coronavirus) cases spread globally, Microsoft has released the...
As a valued partner or customer of ECLEVA, we would like to update you on how ECLEVA is...
To help support the business community and enable remote working during this...
We begin with a short, practical introduction to AI — focused on real business value, not hype — then shift quickly into understanding your organisation.
Together, we explore where work feels:
• Slow, manual, or repetitive
• Difficult to scale
• Dependent on workarounds or spreadsheets
• Fragmented across systems or teams
This stage uncovers the real operational and process challenges behind day-to-day friction, forming the foundation for meaningful AI opportunities.
