AI setup, AI Setup & Deployment.

Hosted AI assistant for your team, deployed on your VPS or ours. We pick the model (Claude, OpenAI, or open-source), harden the security, and connect it to email, calendar, Slack, CRM, and docs. Your team uses it on day one, not in quarter three.

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VPS or Mac MiniClaude / OpenAI / open-sourceWired to your tools

About this serviceWhat it is, who it is for.

AI Setup & Deployment is one of the 9 services in our AI Studio line. Hosted AI assistant for your team. We deploy on your VPS or ours, harden it, and connect it to email, calendar, Slack, CRM, and docs. Every engagement starts with a no-charge audit so you know exactly what we will build, why, and what it will move.

We work the same way across every project: an experienced lead who scopes the work and then delivers it, a written quote tied to outcomes (not hours), weekly demos, and a working preview URL inside week one. No bait-and-switch, no junior teams handed your project, no surprise invoices.

Who it is for

Owners and founders who want ai setup & deployment done by an experienced crew, not learned on their dime.
Small and medium businesses outgrowing template-built tools and ready for something custom.
Teams that have tried agencies before and want one accountable lead, weekly demos, and a transparent quote.
Kansas City businesses that want a local partner with global delivery capacity behind it.

What we deliverEverything in a typical engagement.

Six things every AI setup we deliver comes with.

Infrastructure

Cloud VPS or local Mac Mini, your call. We size it to your team and the workload, then operate it.

Model selection

Claude, OpenAI, or open-source models like Llama and Mistral. Right model for the cost-quality curve.

Tool integrations

Gmail, Outlook, Slack, Notion, Salesforce, HubSpot, Google Drive, GitHub. Read and write where it earns its place.

Security hardening

OAuth middleware, sandboxed execution, credential vaulting, audit logs. Your data does not leave your tenant.

Custom personas and prompts

Tone, voice, refusal rules, brand voice locked at the system-prompt level. Versioned and reviewable.

Onboarding and training

Two team sessions, written docs, Loom recordings. Your team uses it without us in the room.

How we run itThe phases, in order.

Scope, deploy, secure, train.

Scope

What workflows? Which tools? Cloud or local? We pick the right shape in a 60-minute session.

Deploy

Provision infrastructure, install the agent runtime, wire the model, configure the system prompt.

Integrate

OAuth into the tools your team uses. Test reads first, writes second. Permission-aware.

Harden

Sandboxing, rate limits, audit logs, monitoring. We write the runbook for your security team.

Train

Two team sessions and written docs. We hand it over and stay on call for the first two weeks.

Frequently askedThe questions owners ask.

Before kickoff.

Do we need our own server, or do you host it?

Either. A cloud VPS or a local Mac Mini, sized to your team and workload. We operate it whichever way you pick, so you are not left managing infrastructure you did not budget time for.

What tools can the assistant actually connect to?

Gmail, Outlook, Slack, Notion, Salesforce, HubSpot, Google Drive, and GitHub are common integrations. We start with read access, prove it out, then add write access once the team trusts the results.

How do you keep our data secure?

OAuth middleware, sandboxed execution, credential vaulting, and audit logs on every call. Your data stays in your tenant. We do not pool it with other customers or use it to train anything.

How fast can our team actually be using it?

Two weeks from scoping call to trained team, in most cases. We provision, wire the integrations, harden the setup, then run two live training sessions plus written docs and recordings your team can replay.

Can we control its tone and what it refuses to do?

Yes. Personas, tone, voice, and refusal rules are locked at the system-prompt level, versioned, and reviewable. If your brand voice or compliance rules change, we update the prompt library, not the whole system.

What happens after launch, do you disappear?

We stay on call for the first two weeks after handoff. After that, most teams move to a maintenance and tuning retainer for ongoing monitoring, model upgrades, and prompt tuning as workflows change.

Want AI deployed for your team this month?

We can have your assistant running and integrated inside two weeks. Book a 30-minute scoping call.

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