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.
How it works
Full code AI automation is the alternative to no-code automation platforms. Where a no-code platform gives you a canvas inside their product, full code gives you a system inside yours: a Git repository in your GitHub or GitLab, a deployment in your cloud tenancy or on-premise, real integrations against the actual APIs of your finance system, ERP, CRM, and document store. The advantages compound over time: no per-seat licences on software you commissioned, no platform lock-in, no third-party LLM provider in the data path, and full control of the architecture under regulator scrutiny. The cost shape is a 12-month retainer model rather than a per-user subscription. Ayoob AI is full code only.
Related terms
No-Code Automation
Automation built by configuring a third-party platform (Zapier, Make, n8n, Power Automate, and similar) through a visual canvas rather than written code, with workflows running inside the platform vendor's infrastructure.
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.
Private AI
AI deployed on infrastructure the client controls (on-premise, in the client's cloud tenancy, or air-gapped), with no third-party LLM provider in the data path and no inference-time data export.
AI Retainer Model
A commercial structure in which a business pays a monthly fee for committed AI engineering capacity over a 12-month minimum term, rather than paying per-project or per-seat.
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