System architecture
Data flows, approvals and interfaces must work together so processes become faster, more reliable and transparent — no black box, no fragile scripts.
Core principles
Every automation begins with a clearly defined trigger. This can be an incoming email, a new database record, a completed form, or a scheduled retrieval. Without a clearly documented trigger, there is no stable automation — only fragile scripts.
Between trigger and output lies the actual intelligence: transformation rules, classifications, decision trees, or AI-powered content processing. We document every step so that your team understands the logic — not just the system.
Automations connect existing systems: CRM, ERP, email servers, accounting solutions, document management — we use official APIs and stable integration patterns. No proprietary dependencies, no vendor lock-in traps.
Automations must be monitored. We define monitoring concepts, escalation paths and ownership rules. When an automation fails or processes incorrect data, it must be clear: who is notified, who decides, who corrects.
AYE KNOW as entry
AYE KNOW is designed as a door-opener: quickly productive, limited in risk, and directly connectable to further process automations.
Integrations
No prerequisite for a specific technology stack. We use official APIs, standards such as REST and webhooks, and established integration patterns — so nothing depends on a single provider.
Traceability
We build automations so that not only the result is correct, but the path to it can also be traced. Logging, monitoring and clear documentation are not extras — they are part of the design.
Where useful, human checkpoints are explicitly retained. Not every decision should be automatic — sometimes a well-placed manual approval is the more reliable choice.
Discuss system logic.webp&w=3840&q=75)
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