Team & Enterprise Setup

You bought AI licenses for everyone. Let's make it worth it.

We set up the workspace your company can actually stand behind: roles and permissions, data governance, retention and audit trails, connectors to your systems, knowledge bases per team, and the training that turns seats into usage.

Talk to us →What we set up

Providers we work with

Claude Team & Enterprise

ChatGPT Business & Enterprise

Gemini for Workspace

A licence is not a deployment.

Buying seats is the easy part. Real usage comes once the tool is connected to your systems, shaped around how each team works, and clear about what people are allowed to do with it. That is the setup we build.

Daily active users

First 12 weeks after rollout

Licences paid

Actually using it

Every unused seat is money out the door, and productivity you never got.

What we set up

We set up AI as an operating layer in your company.

Connected to your systems, governed the way your company needs, and shaped around how each team works. Take the whole thing or start with one department.

Workspace and admin

Most companies cannot answer who has access, who left and still does, or who can read whose conversations. Seats, roles, groups and SSO settle that before it becomes an audit finding.

Data governance and security

Right now your team is guessing on its own what is safe to paste into a chat. Retention, training opt-outs and a written policy replace those guesses with something you can defend to legal, to a client, or in a certification.

Connectors to your tools

Without connectors people work from exports they pasted in last week, so answers are stale and untraceable. Connected properly, the AI reads the live system and only what its scope allows.

Knowledge bases

The same questions get asked every week and the answers live in documents nobody can find. A structured knowledge base turns that into something the company owns instead of something three people remember.

Skills and prompt libraries

Output quality swings depending on who happened to write the prompt, which makes AI work impossible to standardise or review. Reusable skills mean the same task comes out the same way every time.

Projects, GPTs and Gems per team

A blank chat is where adoption dies: people do not know what to ask, so they stop opening it. A space per team, with its context and files already loaded, gives them somewhere to start.

Adoption dashboard

You cannot justify the renewal, or cut the seats you are wasting, without knowing who actually uses this. Usage per team also shows you where the next push is worth making.

Champions and office hours

When nobody owns this internally, usage decays the week after the rollout ends. A trained champion per area keeps momentum without you having to chase it.

Migration and multi-model

Being locked into one vendor is a pricing and capability risk, and the market moves every quarter. Set up properly, you can switch or run more than one without rebuilding everything you configured.

Scope this for your company →

Custom connectors

Connect AI to the stack your company already runs on.

A connector is a controlled bridge between the AI and a system you already use, such as Drive, Slack, your CRM or your database.

Without them, people work from exports they pasted into a chat last Tuesday. Answers are confidently wrong, nobody can tell where the numbers came from, and confidential files end up in places you never approved.

When the connector you need does not exist, we build it.

Your internal tool

The first thing Ambolt did was go deep on understanding how each team inside the agency worked. From there they helped us reorganise our data so AI could consume it, captured the knowledge the team already had as skills, and gave us the ability to generate reports and analysis, among other things. They also left us a full layer of internal distribution, governance and auditing for the use of AI in house.

Santiago NogueiraCEO, Bullmetrix

How we run it

You end up with a setup your team can run without us.

Audit

What you have licensed, who has access, what is connected today, and what your teams are already doing on the side.

You get

A setup roadmap: what gets configured, in what order.

Configure

Permissions, governance, connectors, knowledge bases and skills, agreed with IT and with the teams that will use them.

You get

A workspace wired to your systems and policy.

Train

Sessions per role on the workspace we just built, so people learn on their own setup rather than on a demo account.

You get

Teams using it in their real work, not in a demo.

Hand off

Documentation, admin walkthrough and champions in place. You run it, and we stay available for what comes next.

You get

Ownership, with people inside who can extend it.

Start with a discovery call →

Frequently asked questions

No. If you have not bought yet we go through the options with you and help you pick based on your stack and what your teams do. We do not resell licences, so the recommendation is ours alone. Enterprise tiers do give you more: SSO, audit logs, longer context, stricter data controls and admin depth, and they cost meaningfully more per seat. In several cases there are workarounds that get you most of that functionality without the enterprise contract, and we will tell you honestly when your situation is one of them.

A controlled bridge between the AI and a system you already use, such as Drive, Slack, your CRM or your database. Once it is in place people can ask questions against real company data instead of copying and pasting exports into a chat.

We configure retention, training opt-outs and access scopes at the workspace level, and we write down what can and cannot go into the tool. Nothing gets connected without your IT team agreeing to the scope first.

Usually yes. That is where the custom connector work comes in. We look at what the system exposes, whether that is a database, an internal endpoint or an export, and build against it.

Both. Configuration without training gets you the same low usage you have now. We run sessions per role on the workspace we just built, so people learn on their own setup.

It depends entirely on how much of it you want. A focused setup for one department is quick. A full workspace with custom connectors and training across the company takes longer. We give you a scope and a timeline after the first call.

Yes, and some companies should. Different teams have different needs and the tools are not equally good at everything. We set it up so it is clear who uses what and why, instead of everyone paying for everything.

Yes. We move the setup across: knowledge bases, prompt libraries, per-team spaces and connectors get rebuilt on the new provider, and we retrain people on the differences.

All of it. Connectors, skills, knowledge bases, documentation and admin walkthroughs are yours. We work the same way on every engagement: your team should be able to run and extend the system without us.

Contact

Book a discovery call. No commitment.

We reply within 48 hours with a scope, what we would set up first, and what we need from your IT team.