Cloud AI Agents

Get your AI agents off laptops and working for the whole team

An agent on one person's laptop only works for that person, and only while their laptop is awake. We move your agents to a secure cloud instance so your whole team or department can use them, around the clock.

For small and medium-sized businesses already experimenting with AI agents.

The problem

Agents on laptops don't scale

Most teams start with AI agents the same way: one person sets one up on their own machine. It works, until someone else needs it.

It stops when the laptop does

Close the lid, lose Wi-Fi or go on vacation, and the agent stops working. Nothing runs overnight or on weekends.

It only helps one person

Colleagues who need the same help either wait, or build their own copy. Ten people can end up with ten versions of the same agent.

Every copy is another thing to manage

Each copy has its own setup, API keys, subscriptions and updates, and keeps credentials and business data on a device that can be lost or stolen.

How we move them

From one laptop to one shared, always-on agent

Illustrative example for a 10-person team.
1InventoryWe find the agents your people already run, what each one does, and what data and tools it touches.
2ConsolidateOverlapping agents are combined into fewer, well-scoped agents that share one set of company knowledge.
3Deploy to the cloudAgents run on a cloud instance your business owns, with keys stored securely, access by role, and activity logged.
4Connect the teamYour team reaches the agent from the tools they already use, and we monitor usage and cost as it grows.
Where the savings come from

One shared agent costs less than a copy on every laptop

One setup instead of many

Build, secure and update the agent once. Improvements reach everyone the moment they ship, instead of laptop by laptop.

Shared, not duplicated

One deployment and one set of keys and subscriptions serves the whole department, rather than one per person.

Useful around the clock

A cloud agent keeps working after hours, so scheduled jobs, overnight reports and incoming requests don't wait for someone's laptop.

Fewer tokens

Combine functions into one agent and stop paying for the same context twice

AI usage is billed by the token, and much of what an agent sends with each request is background: your company's policies, product details, customer history and instructions.

When separate agents handle inbox triage, ticket summaries, reports and scheduling, each one sends that same background again. A combined cloud agent loads it once and handles every task on top of it, so the organization uses fewer tokens for the same work.

Illustrative: 4 tasks per cycle, 8k-token shared company context, 1k tokens per task.

Actual savings depend on how much context your agents share and how often they run. We measure your current usage during the assessment.

FAQ

Common questions

On a cloud instance in an account your business owns and controls, usually with the cloud provider you already use. You're never locked into running them through us.

It's usually safer than leaving them on laptops. API keys move into managed secret storage instead of sitting on individual devices, access is granted by role, and activity is logged. We're upfront about exactly what is and isn't sent to an AI model.

Not when it's scoped well. We only combine functions that share the same knowledge and audience, and keep separate agents where the data or permissions need to stay apart.

Start with a free call or our $250 fixed-fee AI Opportunity Assessment. We'll inventory the agents you have today and show what moving and consolidating them would look like.

Turn one person's AI experiment into a tool the whole team uses

Book a free 30-minute call, or take the free 3-minute AI Opportunity Audit first.