Enterprise AI,small-teamsized.
Small businesses lose the most hours to manual work and have the fewest people to spare for it. We deploy right-sized agents on the same orchestration backbone our enterprise builds run on — the weekly numbers, the follow-ups, the bookkeeping handoffs — fully managed, so nobody on your team has to become the AI person.
Days from scope to production build
Industries served
Client retention rate
Done for you,owned by you.
No dashboards to babysit, no platform to learn. We set it up, we keep it running, and everything is documented in plain English for the day you want to look under the hood.
Right-Sized Agent Stack
Two to four agents matched to where your hours actually go — picked from the proven library, configured to your tools, and nothing you don't need.
Owner's Dashboard
One view of what your agents did this week — work completed, hours retired, anything waiting on your approval. A two-minute read, not a console.
Done-For-You Operation
Atlas runs the system — monitoring, updates, and tuning included. When a workflow changes, you tell us in a sentence; we change the agent.
Plain-English Runbook
What each agent does, how to pause it, and what happens if you do — written for an owner, not an engineer. No lock-in by obscurity.
From first call to hours back.
Map
One working session on where the hours go — the report you build Sunday night, the follow-ups that slip, the double entry between systems.
Pick
We recommend the two to four agents that retire the most hours first. Small scope on purpose — a system you trust beats a platform you abandon.
Deploy
We connect your tools, configure the agents, and run them in shadow mode until the outputs earn your sign-off. You approve; we flip the switch.
Support
Atlas operates the system month to month — monitoring, fixes, and adjustments as your business changes. You read the owner's dashboard; we do the rest.
What this system runs for you.
Small team,samerails.
Right-sized doesn't mean rail-less. Your agents run with the same safety discipline as our enterprise systems — just explained in plain English.
You approve what customers see
Anything that reaches a customer — an email, an invoice, a review request — starts as a draft for your sign-off. Autonomy only when you say so.
Everything is logged
Every agent action is recorded and readable. The owner's dashboard shows what happened; the log shows exactly how.
Pause anything, instantly
Every agent has an off switch you can use yourself — no support ticket, no waiting. Flip it back on when you're ready.
Built on your existing tools
Your inbox, your books, your calendar — the agents work inside what you already pay for. Nothing to migrate, nothing new to learn.
Claude Code at thecenter ofeverything.
Small-business agents run on the exact backbone our enterprise builds use: Claude Code scaffolds the automation layers and frameworks — orchestrating agents, integrations, and data flows as one observable system — with deep-research lanes available when a decision needs grounding.
Perplexity
Source-grounded, deep-level research on demand — competitor moves, local market intelligence, and supplier research delivered as readable briefs.
ChatGPT
A second deep-research lane — long-form synthesis and analysis, cross-checked against Perplexity before it reaches your inbox.
Pairs with
everything we build.
What would you dowith ten hoursa week?
Book a 30-minute discovery call. We'll find the two or three loops eating your week, tell you exactly which agents retire them, and what fully managed looks like for a team your size.