What is the Operational AI Diagnostic?
It is a paid, fixed-fee engagement and the only way we start. We select the one workflow worth fixing, map it end to end with the people who run it, and deliver a five-page decision package in 5-10 business days: the problem, the fix, what stays human, Phase 1 scope and price, and a build-ready go / no-go. Typically $1,500-$5,000 + VAT, confirmed after a short fit call.
Why is the first step paid rather than a free consultation?
Because a free assessment has to be a sales pitch to pay for itself, and its conclusion is always 'yes, build something'. A paid Diagnostic can honestly conclude 'do not build this' — and sometimes does. It also means the mapping work is real work, done with your team, rather than a proposal dressed up as analysis. If you deploy and the deposit clears within 30 days, the fee is credited in full against Phase 1.
What do we actually receive at the end?
A five-page decision package covering the problem as it actually runs, the proposed fix, what must stay human, Phase 1 scope and its price band, and a go / no-go recommendation. If you stop there, you keep the map and the reasoning — it is written to be usable by another party, not only by us.
What kind of AI solutions do you build?
We build custom AI systems designed to handle complex workflows with minimal manual oversight. Unlike off-the-shelf AI tools, our solutions support lead research, CRM updates, reporting, client communications, and operational tasks — integrated with your existing systems. Human review remains part of the loop for quality assurance.
Do you replace our existing systems?
No. We integrate with your existing infrastructure. Our AI solutions connect to your CRM, communication tools, databases, and operational systems. We augment what you have — we do not rip and replace.
Is this just another AI tool?
No. We do not sell tools. We build custom AI systems tailored to your operations. The difference: a tool waits for you to use it. Our systems are designed to execute tasks at scale with minimal prompting, subject to the quality of your data and process definitions. They run on your infrastructure and handle real business operations with human oversight built in.
Do you actually use this technology yourselves?
Yes. Aion is powered by the same AI infrastructure we build for clients. Our systems handle research, analysis, content production, and operational workflows daily. This is not aspirational — it is operational reality.
What industries do you serve?
Any industry with operational complexity and manual workflows that should be automated. Current focus areas include professional services, construction, hospitality, healthcare, and logistics. If your team spends significant time on repetitive, rule-based tasks, we can help.
What does the engagement process look like?
Three steps: (1) Fit call — a short call to confirm scope and fix the Diagnostic fee. (2) Operational AI Diagnostic — a paid, fixed-fee engagement: we select the one workflow worth fixing and deliver a five-page decision package within 5–10 business days of kickoff. (3) Go / no-go — you either deploy with a deposit or stop clean. The Diagnostic fee is credited in full against Phase 1 if the deployment deposit clears within 30 days.
How disruptive is this to the business?
Minimal disruption. Our AI systems are designed to operate with minimal demands on your team. There are no weeks of stakeholder interviews, no consultants shadowing your staff. We analyse data asynchronously and aim to deliver results without interrupting your day-to-day operations (subject to access and data availability).
What happens after the Diagnostic?
You decide, and both answers are clean. The Diagnostic ends in a build-ready go / no-go. If it is go, we move to Phase 1 on a deposit and the Diagnostic fee is credited in full. If it is no-go, you keep the decision package and stop — you own the map either way, whether we build it, your own team builds it, or nobody does.
What size company do you work with?
We work with organisations of many sizes. The qualifying factor is operational complexity: whether one priority workflow spans systems, handoffs, stakeholders, risk, or difficult access. Diagnostic fees are not set by headcount.