Before AI takes off, give it a flight plan.

Buying seats is easy. The hard part is proving, six months later, which connector got approved, who signed off, and what data it can actually reach. We set Claude up so that answer already exists. In writing. From the start.

AI oversight belongs with the team already managing your identity, access, security, and support.

Not just switched on. Cleared For The Right Capabilities.

You hold the Claude subscription. We configure it around the boundaries your organization already has, write down every decision you make along the way, and train your people to actually use it. So it arrives governed instead of just switched on.

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Built into the same IT model that already manages your identity, access, data, and support.

Seats are simple. Capabilities need clearance.

Anyone can buy seats and hand them out. The real question is what those seats are allowed to reach, connect to, change, or trigger later. That is where unmanaged AI starts to drift.

Which connector was approved? and by whom?
What can Claude reach?
Who can authorize more access, more spend, or higher-risk capability later?

Many teams are further along with AI than their documentation shows.

So the documentation is part of the rollout. It becomes the written proof of what was approved, who approved it, and where Claude’s boundaries sit.

Five checkpoints before
Claude leaves the runway.

Before Claude connects to your people, files, and workflows, the rollout passes through the same checkpoints every time: scope, decisions, configuration, documentation, and training.

Scoping  (DeepNet)

Plan tier, identity provider, and seat requirements confirmed.

Decisions (Your team)

Structured intake forms covering users, access, approvals, data, and privacy. An engineer walks you through them first.

Configuration (DeepNet)

Identity, privacy, integrations, billing controls, and your internal approval workflow.

Handoff (DeepNet)

A written record of every configuration decision, plus sample acceptable use guidance.

Training & go-live (DeepNet)

A live, hands-on session for administrators and end users.

Only phase two requires meaningful time from your team. Everything else is ours.

Three things are true the day after go-live.

Your team starts with working habits, not just working logins

Not logins handed out and good luck. People finish the session with their connectors working and a process they wrote themselves, in your own environment.

Streamlined approvals process is routed by risk

Connector and capability requests do not depend on whoever clicks first. Lower-risk requests follow the standard path. Higher-risk requests go to the right owner before anything is granted. Nothing risky gets in on self-approval.

Everything is documented

Who approved it. What Claude can reach. Who can authorize more access or spend. Where the boundaries sit. The record exists from day one, instead of being reconstructed the week someone asks.

What you leave with: the workspace, the record, and the rules.

Everything below is yours to keep, reuse, and hand to whoever asks.

01   A configured workspace

Built around your identity, security, and data rules. Not around a default.

02  A signed configuration record

Every setting, every access role, every enablement decision. In writing.

03   Your approval workflow, documented

Who can request an integration, who authorizes it, what's automatic. Your team and our service desk work to the same standard.

04   Stakeholder documentation

Where to find reporting. How to invite and adjust users. Who to contact for what.

05   A sample AI use policy

A starting point for your own review. It's a sample, and we say so.

06   A runbook each person fills in

Not a handout. They complete it live during training, on a real process, and reuse it on the next one.

07   Working connectors

Claude connected to your Microsoft 365 or Google apps before the session ends.

08   The recording, and somewhere to go back to

The session is recorded and yours. Training fundamentals stay available afterward for people who join later.

"AI can give your team superpowers. Our job is to help make sure the cape fits, the guardrails are in place, and the work stays yours."

Jeremy Stayton · CEO, DeepNet

The Detail, in full.

Everything a decision-maker, an administrator, or a security reviewer is likely to ask.

What this service is
What is Claude for Teams?

A managed service in which DeepNet configures, governs, documents, and trains your organization on Claude — delivered as a fixed-scope project by a single engineer. You receive a configured workspace, a written record of your configuration decisions, sample acceptable use guidance, and a live training session.

Is this a software license or a service?

A service. The Claude subscription is held by your organization. DeepNet implements it, governs it, documents it, and supports it.

Who is it for?

Existing DeepNet managed IT clients adopting Claude across a team or an organization. It is designed to be a standard deployment applied consistently across our client base rather than a bespoke build each time.

Why not just buy Claude and hand it out?

You can, and many organizations do. What they usually lack afterward is a record of what was decided and by whom. Without that, nobody can say which connector was approved, who can authorize a new integration, what data Claude can reach, or who is accountable for spend. This service produces that record as a deliverable.

Does this replace our IT support?

No. It sits alongside your managed IT service, and post-deployment support runs through the same service desk you already use.

What happens, step by step
What are the phases of delivery?

Scoping, decisions, configuration, documentation handoff, and training and go-live.

How long does it take?

The DeepNet-side work is measured in days. Overall duration depends substantially on how quickly your team returns the intake forms, since configuration cannot begin until those decisions are made. We agree a date for their return at the outset.

Who does the work?

A single DeepNet engineer delivers the entire scope, including the training session. Your account manager handles the commercial side and steps in if we need help reaching people internally.

What happens if we fall behind on our side?

We follow up directly, and if we cannot reach the right people we ask your account manager to help. The project simply waits — configuration depends on decisions only your organization can make.

Can you deploy to a subset of our staff first?

Yes. Seat count and user assignment are confirmed during scoping, and access can be extended later.

What we need from your team
What do you actually need from us?

A set of decisions, captured through intake forms: who your users are, who owns the workspace, who holds primary administrative rights, who is permitted additional usage, how you want Claude to behave in your organization's context, and your organizational instructions. An engineer walks you through the forms before you complete them.

Do we need to know anything about AI to answer these?

No. The forms are structured, and an engineer walks you through them and answers questions before you complete them. The decisions are organizational — access, ownership, approvals — not technical.

Who from our side needs to be involved?

Someone who can make decisions about access and data handling, and whoever will administer the platform afterward. Both are covered in the training session.

Access, identity, and sign-in
How do our people sign in?

Through your existing identity provider, using the credentials they already use. Claude supports SAML-based single sign-on with providers including Okta, Microsoft Entra ID, and Google Workspace.

Do we have to create new accounts or passwords?

No. There is no separate user list to maintain and no new password for staff to manage.

What happens when someone joins or leaves?

Access follows your existing joiner and leaver process. Automated provisioning and deprovisioning through your identity provider requires the Enterprise plan; Team plans use invite-based or just-in-time provisioning, which we configure during setup.

Can we see and control who has access?

Yes. Seats, roles, and connected tools remain visible in the admin console and can be adjusted or revoked at any time.

Security, data, and privacy
Does Claude train on our data?

No. Team and Enterprise plans operate under Anthropic's commercial terms, under which your organization is the data controller and Anthropic is the processor. Model training on your content is off by default and cannot be enabled at member level. This is an area where inaccurate third-party commentary circulates, so we point clients to Anthropic's own privacy documentation during setup.

Can Claude reach files our staff aren't allowed to see?

No. Connectors inherit the permissions of the source system. If someone cannot open a file, channel, or record directly, Claude cannot reach it on their behalf either.

How do you handle access to our document stores?

File access to SharePoint, OneDrive, or Google Drive is scoped deliberately during configuration, with particular attention to anyone whose existing access spans confidential material. Broad access is a decision your organization makes explicitly, not a default we apply.

Does Claude remember previous conversations?

Memory is off unless deliberately enabled, and deleted conversations leave the history immediately.

Who inside our organization can see staff conversations?

Your designated primary owner holds administrative control of the workspace and can export organizational data. We document who holds that role as part of the configuration record, so it is a known and deliberate appointment rather than an accident of who signed up first.

Governance, approvals, and acceptable use
Can staff connect Claude to whatever tools they want?

No. Requests to connect a tool or data source are routed for approval, and higher-risk requests go to the appropriate owner or administrator. Nothing connects on self-approval.

Who decides what gets approved?

You do. We document your internal approval chain during configuration — who can request an integration, who authorizes it, and what is permitted automatically — and build the workflow around it so both your team and our service desk are working to the same standard.

Do you provide an AI use policy?

We provide a sample acceptable use policy, tailored to the capabilities enabled for your organization. It is explicitly a starting point for your own review, not a document to adopt unchanged — it should go through whoever owns policy in your organization.

Can we control spend?

Yes. Billing and usage controls are configured during setup, and the intake forms capture who is permitted additional usage.

Training and enablement
What training is included?

A live session covering both administration and end use. Administrators are taken through user management, access rights, reporting, and usage oversight. End users are taken through working with Claude productively.

Is it a demonstration or hands-on?

Hands-on. Participants work in your own environment during the session and build something real, rather than watching a walkthrough.

What do end users actually learn?

How to write down a process, what to give Claude and what to withhold, how projects and conversations work, how to share work with colleagues, and where the genuine limitations and pitfalls are. Everyone leaves with a reusable runbook they have filled in themselves.

Is data handling covered in the training?

Yes, and concretely rather than abstractly. Participants are taught to remove identifying detail before it goes in — using a reference to an agreed location rather than a person's home address, for example. It is taught as a working habit, not a policy slide.

Do people leave able to use it with our existing systems?

Yes. Connections to your Microsoft 365 or Google applications are configured during the session, so participants finish with working access.

Is the session recorded?

Yes, and it is yours to keep and reuse for people who join later.

Can we run more than one session?

Yes. Additional sessions can be arranged, which is common where you want to train several groups separately or bring on new staff later.

What you receive
What are the deliverables?

A configured workspace matched to your identity, security, and data-handling requirements. A written record of every configuration decision, including access roles and product enablement. Your internal approval workflow, documented. A sample AI use policy. Stakeholder documentation covering reporting and user management. A runbook each participant completes during training. Working connectors to your Microsoft 365 or Google applications. And the session recording, plus training fundamentals that stay available for people who join later.

Why does the configuration record matter?

It is the artifact that makes the deployment governable. It tells you, in writing, what was decided and by whom — which is what you need when someone asks why a connector was approved, or when you are answering a client, insurer, or auditor asking how you control AI in your business.

What is the runbook?

A short working document each participant fills in during the training session as they capture a real process of their own. It is not a handout. They leave with something they built, in a format they can reuse the next time they want to hand a process to Claude.

After go-live
What support do we get afterward?

User management, access assistance, and baseline integration support through the DeepNet service desk, on the same footing as the rest of your managed service.

What if we want a more complex integration later?

Straightforward, low-risk integrations are handled as standard support. Anything more substantial is scoped separately.

Can we manage users ourselves?

Yes, if you prefer. The handoff documentation covers user management and reporting, and the training session takes your administrators through it. Whether you handle it internally or hand it to our service desk is a decision made during configuration.

Scope boundaries
Does this include building custom AI applications?

No. This service covers implementation, governance, documentation, and training for Claude as a workplace platform. Custom application work is a separate engagement.

Do we need the Enterprise plan?

Not necessarily. Team plans support single sign-on and administrative control. Enterprise adds automated user provisioning, audit logs, and additional compliance controls. We confirm the right tier during scoping based on your size and compliance requirements.

Do you support us if we already have Claude?

Yes. An existing deployment can be brought into the same configuration and governance standard.

Let's Make The Cape Fit.

Together, we'll build an AI strategy that fits how your team actually works, practical, protected, and easy to understand.

01
What your team is already using
02
Where AI could make work easier
03
What should be protected, governed, or simplified
04
Where to start without overcomplicating it

Book an AI strategy session

One of our AI leads will be in touch to arrange a time.

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