Proven agents,deployed notdeveloped.
Most automation loops aren't unique — the weekly report, the inbox triage, the data entry, the research brief. Ready-Built AI is our library of proven agent templates for exactly those loops: configured to your stack, wired through the same orchestration backbone, and in production in a fraction of a custom build's timeline.
Days from scope to production build
Industries served
Client retention rate
Templates withyour name on them.
Ready-built doesn't mean generic — every template ships configured to your tools, your data shapes, and your approval chains. Four deliverables per deployment.
Template Fit Report
Which library agents map to your loops, what each retires, and where a custom build is honestly the better answer — recommended sequence included.
Configured Agents
The templates themselves, deployed — connected to your systems, tuned to your data shapes and vocabulary, running through the orchestration backbone.
Customization Layer
The 20% that makes it yours: your formats, your routing rules, your edge cases — layered onto the proven core without forking away from template updates.
Training & Handoff
Your team trained on operating, pausing, and extending each agent — with the plain-language runbook and the same rails every Atlas build ships with.
From library to live, fast.
Match
Your loops mapped against the template library — where a proven agent fits, it wins on speed; where it doesn't, we say so and point at the custom path.
Configure
The template tuned to your reality — data shapes, vocabulary, formats, routing rules — so the output reads like your team produced it.
Wire
Claude Code wires the agent into your stack through the orchestration layer — authenticated, observable, and gated where stakes are high.
Launch
Shadow mode first, then production. Your team gets the runbook, the kill switch, and an agent that was proven before you ever saw it.
What this system runs for you.
Proven elsewhere,guard-railedhere.
A template earns its place in the library by working — but every deployment still ships with the full rails, because your data and your customers are not a test bed.
Approvals where stakes are high
Templates default to draft-and-gate on anything customer-facing or money-moving. Autonomy is granted per agent, per track record.
Observability on every action
Every agent action logged and attributable, template or not. The trace is always there when a question comes up.
A kill switch that works
Each deployed agent has its own stop control a non-engineer can use — pause one without touching the rest.
Your stack, not a new one
Templates configure to the tools you already run. No migrations, no new platform to learn — agents that act inside your stack.
Claude Code at thecenter ofeverything.
Templates aren't standalone bots — each one deploys onto the same backbone: Claude Code scaffolds the automation layers and frameworks that wire agents, integrations, and data flows into one observable system, with deep-research lanes where outputs need grounding.
Perplexity
Source-grounded, deep-level research on demand — powering the research-brief templates with market, competitor, and domain intelligence.
ChatGPT
A second deep-research lane — long-form synthesis and analysis, cross-checked against Perplexity before anything reaches a deliverable.
Pairs with
everything we build.
Want proven agentsworking by nextmonth?
Book a 30-minute discovery call. We'll match your loops against the template library live and tell you honestly which fit, which don't, and what deployment looks like.