The gap isn't capability.
It's literacy and process.
Current AI models are dramatically underestimated.
Bizopsy is our general agent custom built to run your operations.
It knows your business.
Not briefed every time. Not starting from scratch on every task. Every client, project, decision, and document — connected, queryable, and in context.
3 hour workflow built in 8 minutes
14 steps. 12 handled automatically. The timeline shows exactly how it ran, where it waited, and why — so you're never operating blind.
144 issues resolved. 3 need your call.
When confidence is high, the general agent acts. When it isn't, it surfaces the decision — with context, a recommendation, and the information you need to respond in seconds.
Learn how to implement AI with depth
Most AI adoption fails at the same point: the team was handed a tool, not an understanding.
We teach your team the mechanism. How it actually works, applied to your operation.
Healthcare & Hospital Teams
For hospital operations managers, clinical leads, and admin teams
Your hospital is about to commit to an AI system — or already has. The vendor demo was convincing. Your staff has no way to evaluate whether it fits how your team actually works, or whether anyone will use it six months in.
- How to evaluate AI vendor claims for clinical and operational workflows — what to ask, what to pressure-test
- Where AI adds reliable value in hospital ops, and where it creates risk you don't want to take on
- How to structure rollout so adoption sticks — not a single training session, a working transition
Corporate & Business Ops Teams
For non-tech teams, L&D leads, and business ops managers
Leadership bought the tools. Sent the announcement. The team opened ChatGPT, generated a few outputs, and went back to doing things the same way. The gap isn't willingness. No one taught the mechanism — just handed the interface.
- How to identify which workflows in your team are worth automating — and which aren't
- How to brief an AI build or evaluate a vendor without needing to understand the technology
- What it actually takes to change how a team works — not a workshop, a transition
Dev & Tech Teams
For developers and dev teams
There's a gap between using AI in your editor and building systems that use AI reliably. Most developers hit it the same way: the first implementation works, the second is messier, and by the third you're managing context windows and failure modes nobody warned you about.
- How to architect multi-agent systems: task routing, context management, memory across runs
- What breaks at scale — common failure modes in production AI implementations and how to design around them
- How to evaluate frameworks against your actual requirements, not the benchmark
Two formats. One outcome.
Self-Paced — AI Foundations for Operators
$149The mechanism behind agents — how they work, where they break, and which workflows in your business are actually worth automating. Built for people who make decisions, not developers.
Live Cohort — AI Implementation Bootcamp
$499You map your own operation with an instructor. Not a generic case study — your workflows, your tools, your bottlenecks. You leave with a plan you can act on or hand to a builder.
Enterprise & Custom Training
For healthcare systems, corporate L&D programmes, and dev organisations that need training scoped to their team, their tools, and their industry. On-site or remote.
Built by operators.
Current AI models are being dramatically underestimated. The gap isn't capability. It's that most teams haven't been taught to use what already exists, and most operations weren't built for what AI can already do.
Agents are just model APIs. What matters is the orchestration — how you chain them, feed them knowledge, and route tasks between them. That's not a technical detail. It's the entire skill.
We built BizOpsy for our own operations before we offered it to anyone else. The courses come from deploying the same systems we teach — across fintech, fitness, DTC, and hiring.