Where enterprise AI stalls is rarely the technology — it's the process and the people. Confluence does two things: we run adoption projects, and we train your teams — helping mid-sized Taiwanese companies move AI from "tried it" to "using it."
Workshop · corporate training (placeholder, real photos on launch)
Tool trainers, feature-adders, automation shops — the market has no shortage of them. What's missing are the people who put AI into the organization: how the process changes, who owns what, how the team takes over. There's no shortcut for that layer — it needs someone who knows the industry, on the ground.
That layer is what Confluence does.
* Vertical coverage is target-state (per certification); first-engagement figures pending client sign-off.
We come in and get one process working — from breakpoint diagnosis to a single-process pilot, to scale-up and hand-off. For organizations that know they should use AI but don't yet know where to start.
Explore adoption projects →We train your teams to use AI on their own — Claude Code hands-on for engineering, department workshops, co-designed curricula with your L&D. Measured by output, not by attendance.
Explore training →Where AI adoption gets stuck is usually a process problem, not a technical one — so we find the breakpoint first, then decide which part to adopt. Every stage can stop; you don't buy the whole thing at once.
Map the core processes; find where it's actually stuck.
One process, made to work in real conditions.
Only what's proven gets replicated.
Capability stays in your team.
Diagnosis · breakpoint mapping (placeholder)
Taiwan's largest Apple Premium Reseller (13 stores). Adoption spreads because results get seen — not because a deck argues for it.(Client authorization in progress; details and figures to follow.)
Confluence isn't a consulting firm — it's a peer alliance of a dozen-plus consultants, each still working in their own field: displays, healthcare, finance, manufacturing, software. Why an alliance and not a company?