I've been on the operator side
Before Spectertime, I spent years building and running very different kinds of businesses.
I founded and exited a residential development company, where I worked across land acquisition, fundraising, development, sales, and investor relationships.
I later moved into technology, co-founding Dynamiqa Solutions and spending years building and launching software products across SaaS, mobile, IoT-connected systems, property technology, and interactive web applications.
I've also operated businesses outside tech, including e-commerce and customer-facing operations, which meant dealing with the same realities most owners face: customers, teams, suppliers, sales, processes, and things that somehow still have to get done manually.
That changed how I look at AI
Most established businesses were built before today's AI capabilities existed.
They already have people, processes, software, and ways of working that evolved over years. At the same time, there is now an entirely new world of AI tools, agents, automation, and capabilities opening up around them.
The difficult part isn't realizing AI is powerful.
It's figuring out what any of it should actually mean for your business without creating unnecessary complexity or disrupting what already works.
That is the gap I work in.
My job is to bring those two worlds together in a way that creates leverage for the specific business and workflow.
My approach is simple: business first, AI second
I don't start by asking what we can automate.
I start by understanding how the work actually happens.
Where does time disappear? What gets repeated? Where does information get lost? What frustrates the team? What already works well? What are you using AI for today?
Only then do I look at the options.
Sometimes the answer is an existing tool. Sometimes the process needs to change first. Sometimes you and your team need help using AI more effectively. Sometimes automation makes sense. Sometimes something needs to be built. And sometimes the right answer is to leave it alone.
Strategy when you need it. Technical depth when it matters.
I'm not limited to giving recommendations.
When implementation makes sense, I can work across AI tools, automation platforms, CRM systems, APIs, databases, voice and messaging tools, knowledge systems, and custom workflows.
That means I can recommend a simple off-the-shelf solution when that's enough, but I can also go much deeper when the business case justifies it.
The technology is not the product. The outcome for the business is.
What I care about
AI should do at least one meaningful thing for the business: save time, make or protect revenue, improve the customer or employee experience, or make the operation easier to run.
If it doesn't, it probably doesn't belong there.