In more detail
The work inside those two
Both capabilities share a spine — sources in, a model step, checks, review, delivery.
These are the pieces we build most often.
01
Process discovery
Mapping how the work runs today and where a model genuinely helps — including where it does not.
02
Workflow automation
Replacing repeated manual steps — intake, routing, checks, notifications — with something auditable.
03
LLM integration
Model steps connected to your systems, with timeouts, retries, cost limits and defined failure behaviour.
04
Structured output & validation
Output constrained to a schema and checked against rules before anything downstream accepts it.
05
Editorial & content pipelines
Research, drafting, fact-checking and approval as steps in a system rather than as habits.
06
AI video workflows
Concept, script, storyboard, generated assets, assembly and channel versions, with approval gates.
07
Human review & exceptions
Queues, approvals and escalation paths, with reviewer decisions recorded against the result.
08
Custom software & integrations
Web applications, internal tools, data pipelines, APIs and Shopify work — the layer everything runs on.
09
Monitoring & refinement
Seeing what ran, what failed and what was corrected, then tightening the rules that needed it.