Intellicy connects business design, data and AI to improve how work gets done. We help you clarify the problem, build useful systems and choose how your models and business data are managed.
Before choosing a model or automating a task, establish what needs to change. We work with your team to examine the customer outcome, the decisions behind it and the way work moves through the business. Together, we identify where AI can help, what needs to be redesigned and which opportunities are worth pursuing first.
Turn a defined business need into a working system. We design and build AI applications and automations that connect to your information, support your team's decisions and fit the workflow around them. The work includes the steps that make a system usable: integration, testing, exception handling and clear points for human review.
Your organisation can use AI without sending its documents and prompts to an external model service. We deploy suitable models on your infrastructure, in your cloud account or on Intellicy-managed infrastructure. Together, we define access, data boundaries and operating responsibilities. Ongoing operations and maintenance are available under a separate agreement.
Intellicy was founded by Ryan Aminollahi, author of The Designed Business: Growth Only Amplifies What You Have Built. His work connects business architecture, technology, data and AI.
The book's five designs—Problem, Value, Trust, System and Learning—guide the questions we ask: what needs to change, why it matters, what makes the result trustworthy, how it will be delivered and how we will know it is working. That thinking helps keep technology connected to the business it serves.
Explore The Designed Business · About Ryan Aminollahi · Get the book
Agree what should improve before building. Measures might include time to reach a decision, manual work, error rates or delivery quality—chosen to match the problem.
Connect the customer outcome to the workflow, data and architecture behind it. Technical choices should support the result the business needs to deliver.
Begin with a defined scope, test assumptions and review what the work shows. Use that evidence to decide what needs to change before expanding.
Make model choice, data access and human responsibility explicit. Private deployment is available when business information needs to remain within your controlled environment.
Intellicy's Data Engineering team has been instrumental in revolutionizing our data pipelines at NewsCorp Australia. Their expertise with AWS services has significantly enhanced our advertising capabilities, allowing for more targeted and effective campaigns. A true asset to our operations.
Anil Doma
Platform Manager, NewsCorp Australia
Utilizing Intellicy's Data Product Design service has been a game-changer for NewsCorp. Their expertise in leveraging AWS services to seamlessly identify readers across our sites has significantly enhanced our sales strategy through our booking platform. A key driver in our continued success, Intellicy has proven to be an invaluable partner in our data technology initiatives.
Lionel Port
Head of Data Technology, NewsCorp
As the CTO of Lendi, I've had the privilege of witnessing firsthand the transformative power of Intellicy's Data Product Design service. Their expertise in crafting a predictive model to recognize the Next Best Action for each client has significantly enhanced our brokers' performance. The collaboration was seamless, and the results have truly transformed our client engagement strategies. Highly recommend Intellicy for any business looking to leverage their data for real impact.
Glen McRae
CTO, Lendi
Tell us about the decision, workflow or data challenge you want to improve. In an initial conversation, we can:
Start with a brief description. We can discuss the details together.
Business design. AI systems. Customer control.
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