AI Automation Agency

An agency that automates the work, not the deck.

An AI automation agency finds the manual work eating your team’s hours and builds AI systems that do it, inside the tools you already run. That is our whole job: we scope it, build it at a fixed price, and stay until your team actually uses it.

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Your AI roadmapranked by return

Start hereInvoice intake automationHigh impactLow effort

nextWhatsApp support agentHigh impactMed effort

nextWeekly report, automatedMed impactLow effort

nextDemand forecastingHigh impactHigh effort

4 opportunities scoped · costed · sequenced

How it works in practice.

What an AI automation agency does
It maps where your team’s hours actually go, data entry, report building, copy-paste between systems, answering the same questions, then designs and builds the automation that removes it. The useful ones connect to your existing software rather than selling you a new platform.
How ours works
We start with a short discovery and pick one high-impact build, not a transformation program. You get a fixed price before work starts, senior engineers end to end, and a system delivered working inside your tools. We measure adoption at 30 days; if the team is not using it, fixing that is on us.
What it costs
Every project is a fixed fee scoped upfront, paid in milestones, never everything in advance. A focused first automation costs a fraction of a hire and pays for itself in recovered hours. We tell you the number, and what we would not bother building, before you commit.

What working with an AI automation agency looks like

Outcomes, not hours

A fixed price for a working system, scoped upfront, not an open-ended hourly meter.

Inside your tools

Built on the software you already run, spreadsheets, ERPs, inboxes, WhatsApp.

Adoption is the deliverable

We measure usage at 30 days and fix what isn’t sticking. A system nobody uses is a failure.

Example builds.

A few shapes this takes in practice, and the stack behind each.

Order intake off WhatsApp

Orders arrive as chat messages and voice notes. The system extracts items, quantities, and customer details, writes them into the sheet and the accounting flow, and queues only the unclear ones for review.

WhatsAppn8nPostgresGoogle Sheets

Invoice processing into the books

Supplier PDFs are read automatically: line items pulled, totals checked against the purchase order, mismatches flagged to a person, everything else posted without a human touch.

Gmailn8nPostgresGoogle Sheets

The weekly report, retired

The numbers someone assembled by hand every Monday now pull themselves from the source systems, get written up in plain language, and land in the team channel before anyone arrives.

PostgresGoogle SheetsSlackn8n

Built around your tools, not on top of them.

Whatever we build talks to the systems you already run, so your team keeps working where they work. And when a legacy tool is the bottleneck, we swap it out for something that isn’t.

Your AI system

A Lebanese ISP with ~2,000 customers case study

Built with

TanStackAI SDK by VercelGemini

Telecommunications · Lebanon

A Lebanese ISP with ~2,000 customers

The manual work we thought was just part of the job turned out to be the easiest thing to fix.

25 yrs

Legacy system replaced in 3 months

Read story

Common questions.

What does an AI automation agency actually do?

It finds the repetitive work in a business, order entry, invoice processing, report building, routine customer questions, and builds systems that do it automatically, connected to the tools the business already runs. The engagement covers scoping, building, deploying, and making sure the team actually uses the result.

How much do AI automation agency services cost?

With us, a fixed project fee agreed before work starts, paid in milestones. A focused first automation typically lands between a few thousand and a few tens of thousands of dollars depending on how many systems it touches. Agencies that bill hourly tend to quote lower and land higher; ask any vendor for a fixed number against a written scope.

Should I hire an agency or build automation in-house?

In-house makes sense when you have engineers with slack and automation is core to your product. An agency makes sense when you want the result without the hire: a senior team that has built the same shapes many times, at a fixed price, without adding headcount. Many clients start with an agency build and hand it to their own team afterwards, everything we build is documented and owned by you.

How do I choose between AI automation agencies?

Ask four things: who exactly does the work (seniors or juniors, local or offshore), whether the price is fixed against a written scope, whether they connect to your existing tools or push a platform, and what happens after launch. An agency confident in its work will also tell you what not to build. Our honest comparison of the market is at /best/ai-automation-agencies.

Trust & security

Built to be trusted with your business.

No black boxes and no surprises with your data. The same standards we run for regulated clients across telecom, healthcare and retail.

Your keys, your models

It runs on your own model-provider accounts (BYOK). You own the keys and can revoke them anytime.

Encrypted end to end

Credentials and data are encrypted with AES-GCM, in transit and at rest.

Hosted where you need

Data residency in Lebanon, the Gulf, or the EU, based on your rules.

Never trained on your data

Your data stays yours. We don’t use it to train models.

A human stays in control

Clear approval and escalation rules, with full context handed over.

Proven in production

Already running for Saudi Arabia’s largest grocery retailer and a Lebanese ISP with ~2,000 customers.

Where this usually lands.

Manufacturing & Distribution →Retail & E-commerce →Telecom & ISPs →Operations →Finance & Admin →Workflow automation (the capability) →Best AI automation agencies, compared →AI implementation vs automation agency →

Find out where AI would fit in your business.