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A done-for-you AI colleague. By 33Labs

An AI colleague specialized in legal, accounting, finance, HR, real estate, insurance, recruiting, operations, coding, security.

We don't hand you software to figure out. We sit with your team, build an AI colleague around how you actually work, and run it inside the tools you already use. Inbox, follow-ups, scheduling, document chasing. Live in less than a week, and secure by default.

Meet Bizzy · A colleague for the work nobody was hired to do
What it takes on first

Inbox Follow-ups Scheduling Documents

How it works

We come in, learn how you work, and build around it.

Not software you have to figure out. Our engineers work on-site with your team, the way a new hire would, and stay until Bizzy is doing real work you trust.

Talk to us
  1. We sit with your team

    We come in and work alongside your people to learn how work really moves: the inbox, follow-ups, scheduling and the chasing that repeats every week.

  2. We map your AI strategy

    Together we decide where AI earns its keep and where it shouldn't touch. We also look at what you already pay for, so you don't buy the same output twice.

  3. We build your context layer

    Bizzy connects to the calendar, inbox and systems you already run, and learns your clients, your documents and the way your firm does things.

  4. We design, build and test

    We design the workflows around how your team works, build them into your existing tools and test them on real work before anyone relies on them.

  5. You use it, we improve it

    Anything client-facing or money-related waits for your OK. You see each task, which model handled it, how long it took, what it cost and how it turned out, and we keep improving it from your team's feedback.

Trust, built in

Secure by default.
You approve before it acts.

Reviewed

Anything that touches a client or a dollar waits for your OK before it goes out. Unclear cases go to a person.

Secure

Built by 33Labs, which also runs security audits for other teams. A decade of security engineering sits behind every deployment, and approval rules set what Bizzy can do on its own.

Measured

Every task leaves a record you can check: the task, the model used, the time taken, the cost and the outcome.

Your tools stay

Bizzy works inside the tools you already use. Nothing to replace.

Routing and token audit

Stop paying a big model to do small jobs.

A big model doing routine work still bills at big-model prices. A token audit shows how much of your AI work a cheaper route can handle, and routing then moves it there, so you spend fewer tokens and get more done.

Ask about a token audit
  • Spend less. Get more done.

    Bizzy's routing layer sends each task to the model that fits it. Routine work moves to cheaper models, so your token spend goes down while your output goes up.

  • Audit before you change anything

    We review a representative slice of your AI workloads and show the opportunity first. You decide what to switch.

  • See where the spend goes

    For each task you can see the model used, the time taken and the cost, so AI spend stops being a black box.

  • Priced around the value

    Where it fits, we price around the measurable value Bizzy creates. Exact numbers are always in writing first.

FAQ

Questions
we actually get.

Ask us something else
Do we have to replace the tools we already use?

No. Bizzy works inside the calendar, inbox and systems you already run.

What if it gets something wrong?

Anything client-facing or money-related waits for your OK before it goes out. Unclear cases go to a person.

How is it different from a chatbot?

A chatbot answers questions. Bizzy does the work around your tools, with approval rules and a record of every task.

How does pricing work?

For new builds, we scope the implementation. For teams already spending on AI, we can start with a token audit and price around the measurable value Bizzy creates. Exact numbers are always in writing first.

What's in the free audit?

Answer 3 questions and get 3 automations mapped to your workflow, on screen and by email in under a minute. Or leave your email and a person replies within one business day.

What is a token audit?

We review a representative slice of your AI workloads, identify where expensive models are doing work cheaper routes can handle, and show the opportunity before asking you to change anything.