Layering AIInto Your Business.

We build AI software that connects to your internal systems, automates repetitive work, and helps your company scale without adding more manual handoffs.

Featured workflow

Connect CRM, inbox, docs, and reporting into one AI-assisted workflow

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Our Track Record

Enterprise Engineering Experience

Our team has built software around complex systems at Fortune 500 companies. Now we bring that same engineering quality to our AI transformations.

Portfolio

Our Recent Work

A few examples of AI automation designed around real workflows, operational bottlenecks, and measurable outcomes.

Healthcare Observability

Observability that protected uptime.

Promotion Automation

Complex promotions handled automatically.

Data Modernization

Product data modernized at scale.

Creator Retention

Creator churn flagged before it happened.

How It Works

AI Built Around Your Business.

We connect the tools and processes you already use through a custom AI layer that turns everyday work into faster, scalable outcomes.

Your business already runs on software, inboxes, documents, data, and human processes. We start by understanding how that work moves today and where time, information, or momentum gets lost.

Explore the stack

Custom AI software is built to connect your systems, apply your business rules, and automate the handoffs between them so your operation moves faster and scales with less manual work.

See the workflow

The result is a business that scales more easily: faster transactions, happier employees and customers, fewer repetitive tasks, and more time for the work that actually needs you.

Start the rollout

Integrated where you work

Put autoLayr to workwherever you work

autoLayr works with your business's existing tech stack. We handle the integrations, connect the systems, and make it all work together—so your team can keep using the tools they already know.

Practical AI help

Expertise Behind Every Workflow.

Show us the workflow. We'll show you where AI fits.

Let's Chat

Workflow reviewPractical next stepsNo internal AI team required