AI Automation
Automate the workflow, not the demo.
Combine deterministic automation with model-driven judgement so each part of the process uses the right kind of logic.
The problem
Most operational processes mix rules, unstructured information, judgement and exceptions. Treating all of them as either traditional automation or generative AI creates brittle systems.
What good looks like
A workflow design that separates deterministic steps, model judgement and human decisions cleanly.
Best fitOperations, sales, marketing and service teams with repeatable, high-friction processes.
Typical outputs
Concrete artefacts tied to the workflow.
Automation boundary design
Model and rules architecture
Integrations
Operational monitoring
Implementation evidence
Automation in operating workflows.
Explore how Zosmetics connected wholesale enquiries to inventory sharing, and how Property Mind connected outbound AI calls to Bigin CRM.
How Bigdoor Ai Labs works
Understand → design → deploy → operate.
The exact architecture follows the workflow, existing systems, risk constraints and evaluation requirements.
Read the full method →Discover + QuantifyDesignDeploy + EvaluateAdopt + Compound
Start with the workflow