A luxury Australian property developer
The self-healing automation backbone
A 90+ workflow n8n suite that keeps a CRM and 10 other tools in sync on their own, across 5 property pipelines.
Jason Almine / AI automation consulting
I help service businesses turn repetitive work into a process they can operate. AI is useful when an input needs interpretation, such as a messy lead email. Rules and human review still decide what the system is allowed to do next.
Talk through your projectFor teams copying information between tools, interpreting incoming enquiries or handling repetitive routing. Start with a specific bottleneck and a measurable outcome rather than a request to add AI everywhere.
Map the input, the decision and the action. Identify what can follow fixed rules, what needs interpretation, and what must stay with a person.
Build the workflow around the existing CRM and tools. Validate extracted fields before downstream actions and define what happens when an input is incomplete or ambiguous.
Agree on review points, error alerts and an owner for failed runs. Test representative inputs and document how the team can investigate or correct an outcome.
Boundaries to agreeAI output can be wrong. Customer-facing messages, financial actions and sensitive decisions need controls appropriate to their risk. Model usage, third-party subscriptions and access permissions are part of project scoping.
A luxury Australian property developer
A 90+ workflow n8n suite that keeps a CRM and 10 other tools in sync on their own, across 5 property pipelines.
A luxury Australian property developer
A full-stack app that builds on-brand property emails, syncs them 2-way with the CRM, and gets them approved by clients through a public link.
Project work starts around USD 2,000. We use a 30-minute discovery call to define the scope, then a written quote sets out the deliverables, timeline and handover. Ongoing system tuning can be scoped separately. I work from Cebu, with asynchronous delivery and calls arranged around your hours.
No. If a field, rule or native workflow solves the problem reliably, that is usually the simpler build. Use AI for an interpretation task, then validate its output before acting on it.
My project work starts around USD 2,000, with the final quote based on scope. An AI follow-up system also needs a decision on channels, review controls, integrations and ongoing usage. That starting figure is not a fixed price for every AI implementation.
Agree on the operational measure first: handling time, successful routing, exceptions or follow-up completion. Compare representative runs with the current process. Keep downstream sales outcomes separate from what the automation itself can demonstrate.