Our approach
We build your team’s AI fluency, not just a tool.
Most vendors sell you an AI tool and leave. We do the opposite: we build the four capabilities your team needs to work with Claude, then hand them over so it keeps paying off without us. It’s built on Anthropic’s AI Fluency framework.
The 4D framework
Four fluencies we build into your team.
- 01
Delegation
Deciding what to hand to Claude, and what stays human.
The hardest part isn't the AI, it's choosing the right task. We start every engagement here: which one workflow is worth automating, and which judgement calls your people should keep. We don't automate for the sake of it.
- 02
Description
Telling Claude the task clearly, with your real context.
Good results come from good instructions. We build the prompts, the system, and the written SOPs around your actual data so your team can direct Claude reliably without needing a prompt-engineering degree.
- 03
Discernment
Judging the output before you trust it.
Knowing when Claude is right, and when to check, is a skill. Every deployment ships with guardrails, confidence thresholds, and a human-in-the-loop review path. Claude is built to refuse rather than guess, and we wire that to your workflow.
- 04
Diligence
Using it responsibly: data, transparency, accountability.
Your data stays in Singapore. Customers are told when they're talking to AI. Hand-offs are logged. We build PDPA-aligned, accountable deployments with a responsible-by-default posture.
It’s a loop, not a line.
These four don’t run in sequence. You flow between them as the work evolves: delegate a task, describe it, judge the output, tighten how you use it, then delegate the next one. That movement is AI fluency. Our job is to get your team into that loop on a real task, fast.
Start with one real task
Not a transformation programme. We pick one workflow that’s costing you this week and make it the practice ground. Evidence before scale.
We leave you blueprints
Step-by-step guides for the tasks your team will keep doing, so the capability stays in-house. The day we hand over, you can run it and extend it yourselves.
Models & data
Claude-powered today. Model-portable by design.
Genzi uses Claude for best-in-class drafting, with Singapore-resident storage and no model training on customer data. For stricter regulatory or internal-policy needs, we can deploy vetted open-source models in your VPC or on-prem.
Buying AI, or owning it?
The difference is fluency. Tell us the workflow you’d start with and we’ll show you what owning it looks like.