Agentic Systems / AI Audit

Find the loopsworthautomating.

Every business pays for the same hours twice — once in salary, once in the manual loops nobody questions. The AI Audit maps every one of them: reporting, handoffs, data entry, follow-up. Each loop scored by hours retired and pipeline created, handed back as a ranked roadmap with build-ready specs.

Your tools & data
CRM · inbox · sheets · ops stack
Claude Code orchestration
Scaffolding · automation frameworks
Dashboards, reports, actions
BI · alerts · hands-free ops
0

Days from scope to production build

0+

Industries served

0%

Client retention rate

What you get

A ranked map ofyour hidden hours.

The audit doesn't end in a slide deck — it ends in documents your team (or ours) can build from the next morning. Four deliverables, all of them actionable.

Audit

Automation Opportunity Register

Every manual loop in the business, inventoried and scored — hours consumed, error risk, pipeline impact. The full list, ranked, so the first build is the highest-ROI build.

Dashboards

Reporting & BI Blueprint

The reporting layer your operation actually needs: which numbers, from which systems, on what cadence — specified as dashboard architecture ready to stand up.

Connectivity

Integration Architecture

The connectivity map — how your tools talk today versus how they should. Workflow diagrams for every handoff worth wiring, from CRM to inbox to books.

Handoff

Build-Ready Specs

The top candidates spec'd to build: scope, guardrails, approval points, observability. Ready for the 120-day clock — whether we build it or your team does.

How it works

From shadow work to shipped automation.

01

Inventory

We shadow how the work actually happens — every report assembled by hand, every copy-paste between systems, every follow-up that depends on someone remembering.

02

Score

Each loop gets a number: hours retired per month, error risk removed, pipeline created. No vibes — a ranked register your CFO can read.

03

Blueprint

The winners get architecture: the reporting and BI layer, the integration map between your tools, and the orchestration design that ties it together.

04

Handoff

Build-ready specs with guardrails, approvals, and observability defined. We build on the 120-day clock — or your team builds from the same documents.

The loops it owns

What this system runs for you.

Reporting that writes itself

The weekly numbers your team assembles by hand — pulled, rolled up, and rendered automatically from the source systems, on a cadence, with anomalies flagged before anyone asks.

The rails

Safe enough toleave onovernight.

Every automation candidate in the audit is spec'd with its rails attached — because production AI is an operations discipline, not a demo.

01

Approvals where stakes are high

Anything customer-facing or money-moving gets a human approval gate in the spec. The automation drafts; a person ships — until trust is earned with a track record.

02

Observability on every action

Every agent action is logged, attributable, and reviewable. When a number looks wrong, you can trace exactly which system said what to which — in minutes, not meetings.

03

A kill switch that works

Every pipeline ships with a stop control a non-engineer can use. Pausing an automation should be as easy as flipping a light — and it is.

04

Your stack, not a new one

The audit designs around the CRM, inbox, and books you already run. Agents that act inside your tools beat platforms that ask you to migrate first.

The orchestration stack

Claude Code at thecenter ofeverything.

Every build runs on the same backbone: Claude Code scaffolds the automation layers and frameworks — orchestrating agents, integrations, and data flows as one system — with deep-research lanes layered in where decisions need grounding.

Orchestration scaffolding

Claude Code

The backbone of every Atlas build. Claude Code scaffolds the automation layers and frameworks — wiring agents, integrations, and data flows into one orchestrated, observable system.

Deep research

Perplexity

Source-grounded, deep-level research on demand — market, competitor, and domain intelligence piped directly into reports and decision flows.

Deep research

ChatGPT

A second deep-research lane — long-form synthesis and analysis, cross-checked against Perplexity before anything reaches a dashboard.

Connects with your stack
n8nZapierMakeSlackGmailGoogle SheetsHubSpotNotionAirtableQuickBooksStripeOpenAI APIAnthropic APIGoogle Gemini
Ready to find out?

Which hours areyou paying fortwice?

Book a 30-minute discovery call. We'll walk one of your real workflows end to end, point at the loops an audit would flag, and outline what the ranked register looks like for an operation your size.