About
Lambeth Consulting designs AI tools that fit how work is reviewed, routed, and handed off. TED is our internal proof of that discipline, but client work starts with your workflow.
Anh Bui runs multiple Lambeth businesses through an AI work layer he built himself. His discipline comes from patent technology and patent-examiner experience. TED was built because the workflow problem was real before the commercial offer was.
Yi brings legal and analytical discipline across SaaS contracts, regulatory compliance, and AI policy. The system's approval and review posture was designed with counsel in the room, not patched on later.
Comparison
| What it is | Role | |
|---|---|---|
| TED | The governed AI work layer built and operated by Lambeth Consulting across the Lambeth Partners portfolio. | Our proof of work and the clearest showcase of the kind of system Lambeth Consulting can build. |
| Lambeth Consulting | The custom AI solution and implementation practice. | The engagement path when the workflow needs tailored integrations, bespoke AI, or deep implementation ownership. |
| Assurance layer | The assurance layer reviewing outputs, logs, and handoffs for unsupported claims, stale context, and approval-sensitive work. | Built into every TED deployment. Also available standalone. |
The problem is rarely model access. The problem is how work gets routed, approved, remembered, and reviewed in a live operation.
The system has to know when to draft, when to propose, when to stop, and when to ask for approval. That boundary is part of the deliverable.
When requirements are unique — bespoke integrations, novel AI workflows, or constraints a generic assistant was not designed for — we build from the ground up.
Managed, self-hosted, and hybrid operating boundaries are deployment decisions, not afterthoughts.
Start with the Assessment. If there is real fit, we turn that week into a concrete deployment path.