Your infrastructure, your choice of AI provider. Sell.Systems hosting is optional. Hosting and model choices
Start with a free 15-minute Google Meet to discuss one workflow that is stuck. It is a fit check, not a full audit or written plan. If a deeper review is useful, a one-workflow audit starts at US$150 after we confirm scope. Implementation is priced separately.
Check the time zone shown by Google Calendar before booking. Google Meet details arrive after confirmation.
The free call does not include these deliverables. A bounded review of one workflow starts at US$150 once we agree on inputs and scope; larger or multi-system reviews are priced separately. No payment is taken on this page.
Map one repeated task, see where work gets stuck, and define a small pilot with clear checks. Start with a free 15-minute intro; a detailed workflow review is separately scoped and paid.
A concrete recommendation for what should be automated first, what can wait, and whether a light workflow layer or a stronger runtime is justified.
If there is a real fit, you get the next-step implementation path, scope shape, and the right commercial lane to move fast.
You do not need a perfect brief, a CTO on the call, or exact financial metrics. One concrete friction point is enough to start.
Already know you want a written review? Send the rough context. We will confirm whether the one-workflow US$150 scope fits before any invoice. If not, we will suggest the right scope or a free 15-minute intro instead.
Hosting and model choice
Keep your infrastructure and choose a compatible AI provider. Sell.Systems provides AI integration and workflow automation. We can work in your cloud account, on your servers or in your data centre.
Sell.Systems hosting is optional. We can assess local or open-weight models against hardware capacity, licence terms, required features and quality needs. Provider features differ, so switching may require rework and extra cost.
No. We work within your agreed project scope. A backend on your infrastructure can still send data to external model APIs; we clarify which data goes where. We agree deliverables and which code, configuration and documentation to hand over. Handover does not automatically transfer ownership of unrelated platform code.