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AI Agents & Automation Entire processes, running on their own.

The copying, checking and chasing your team does by hand becomes software that does it on its own, every day, without breaking. You keep the tools you already use, and nothing goes out without a person approving it.

Invoices and paperwork Payments matched to the bank Leads that get followed up Your Monday morning summary

First step is a paid review of how your work actually runs today, or a fixed-scope build if you already know what you want.

  • 2 active corporate programs
  • Max 3 at a time
  • First system live in 4 to 8 weeks

// How we work

How it works

Three steps. You decide at the end of each one whether there is a next one. This is the corporate program; the two fixed-scope packages skip the review and start at step two.

01

We look at how you work today

We tell you what not to automate, too.

Two to three weeks, starting at $2,500. We go through your processes one by one and mark each one green, yellow or red: worth doing, worth doing if a few things get fixed first, or not worth doing at all. You keep the write-up either way, even if you stop there. If you continue, the fee comes off your first invoice.

02

We build one thing

One process, and we agree what success looks like before we start.

Four to eight weeks. We pick the smallest, most visible job and get it working properly. You see real numbers before anything else gets built.

03

You decide what comes next

Every stage ends with a decision, not an automatic renewal.

We show what changed and by how much. If it worked, we do the next one. A monthly fee plus a fixed amount at each stage; we never take a cut of your savings.

Not sure which process to start with? That is what step one is for.

Tell us about your project

// Where to start

Pick the one that sounds like you

// Security

What we never let AI do

No system we build can delete data, send a message, or do anything you cannot undo. It prepares the work and stops. A person on your team presses the button. That rule does not change, even if you ask us to change it.

Read the full security framework

// Solutions

What our AI agents automate

// Method

How we build

One design rule sits behind every system we ship: deterministic work goes to code, unstructured work goes to AI.

Intelligence layer

Claude reads documents, drafts, summarizes, and classifies.

Deterministic backbone

n8n moves data, runs the rules, and enforces approval gates. Anything calculable runs as code, not AI.

Agent surfaces

Assistants your team actually talks to. This is the agentic layer: it remembers context, works on a schedule, and asks before it acts.

Production tools

Custom components, integrations, and the reporting that holds it together.

Our own sales tracking, content pipeline, and morning briefing run on the same agents we build for clients. Ask on the call and we will show ours live.

Built in the field, not in theory

We currently run active corporate programs with family-owned groups: legacy systems with no APIs, hand-entered spreadsheets, operations that depend on one person, and legally sensitive correspondence. The first measured case studies are being prepared.

// FAQ

Common questions

Short answers to what owners ask us most before the first call.

Why is discovery paid?

Because the output is valuable on its own: a process inventory, a green / yellow / red feasibility report, and a phased roadmap you could execute with anyone. If we continue together, the discovery fee is credited toward phase one.

What happens if the AI gets something wrong?

It gets caught before it matters. No system we build can send, delete, or commit anything on its own; AI output is a draft until a person approves it. Errors surface visibly instead of failing silently, and pilots run on low-risk processes first.

Does our data leave our systems?

For sensitive data, it does not have to. We deploy self-hosted setups that run inside your environment, our agents never store your passwords, and access follows a least-privilege rule: systems get only what they need.

Do we need to replace our current tools?

No. We build around what you already use: your inbox, spreadsheets, CRM, and accounting stay in place. We add the agent and automation layer on top and integrate where it earns its place.

How long does it take?

Executive setups: 1 to 2 weeks. Single-process business pilots: 2 to 4 weeks. Corporate discovery: 2 to 3 weeks, followed by pilots of 4 to 8 weeks. Timelines are fixed with scope before work starts.

How is pricing set?

Fixed scope, fixed price, agreed before we start. Business process pilots run $3,000 to $7,500 depending on complexity; executive setups $1,500 to $3,500 by module count; corporate discovery starts at $2,500. Larger pilots and programs are priced with scope. If budget is tight, we narrow the scope; we do not discount.

Mustafa Ekinci, Founder of Deeprion Labs

// Founder

Mustafa Ekinci

Founder, Deeprion Labs

I'm Mustafa, the founder of Deeprion Labs. I started out building AI automations for my own startup and to multiply my own productivity, turning hours of repetitive work into systems that run on their own, and the results were too good to keep to myself. That hands-on obsession became Deeprion Labs: a studio that designs the same kind of AI agents and automations for businesses and individuals. I believe anyone can do far more with less once the busywork is off their plate, and my job is to make that real for you. The name is literal: every project feeds a methodology library of templates and playbooks, and that library eventually becomes products. ReviewScout AI is the first.

// Products

Products by Deeprion Labs: ReviewScout AI, AI-powered Google review management for small businesses.

// Get started

One process. Measured results. Then we talk about more.

Tell us about your project

This is not a sales pitch. We check fit and point you to the right path.

Prefer email? contact@deeprionlabs.com