AI Retainer Model
A commercial arrangement in which a business keeps an AI engineering team working on its systems on an ongoing basis, for a predictable monthly cost agreed up front, rather than buying one project at a time or paying per seat.
How it works
Production AI infrastructure is rarely a one-off build. The first workflow proves the value, the second and third compound on top, models move forward, integrations drift as upstream systems change, compliance regimes tighten, and new automation opportunities keep surfacing. An ongoing arrangement fits that shape, because the same team keeps building and supporting systems it already knows. Ayoob AI offers this as AI Solutions: an ongoing partnership in which a CTO and a dedicated engineering team work as an extension of your business. It runs on two tracks: existing systems, for businesses with AI already running that needs proper engineering ownership, and new systems, for greenfield builds. Where the work is a clearly bounded problem, AI Automation delivers it as one complete project, priced up front. Pricing scales with scope, and you get a written scope and price within a week of the discovery call. Hosting and model API costs go straight to your own providers, with no mark-up.
Related terms
Full Code AI Automation
AI automation built as custom software the client owns: code in the client's repository, deployment in the client's infrastructure, integrations against real APIs, with no per-seat licences and no third-party canvas in the data path.
Custom AI Software
AI capability delivered as bespoke software tailored to a specific business's systems, workflows, regulatory context, and integration requirements, rather than a generic SaaS product.
Build vs Buy AI
The commercial decision between commissioning custom AI software (build) and licensing an off-the-shelf AI product (buy), with the right answer depending on workflow specificity, regulatory constraints, integration depth, and total cost of ownership.
Want to see this technology in action?