Most teams have an AI prototype someone built in a weekend. Getting from that to something a business actually depends on is a different job. We design the workflow first, pick the model second, and ship the integration last. The model is usually the easy part.
01 · Build / integrate
AI workflow
AI workflows that actually run in production. Agents, automations and pipelines wired into the tools you already use.
What's included
- Workflow audit + automation roadmap
- LLM agent + tooling design
- n8n / temporal / cron pipelines
- RAG, embeddings, vector stores
- Internal copilot deployments
Engagement
Typically 4–10 weeks · scoped engagements
Got an AI workflow that needs to actually ship?
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