AI Automation Services

Service

Agents and pipelines that take over the repetitive work, with a human approving every write. We map the process as it actually runs, build the automation, and hand you the keys to it.

Typical work includes intake, invoicing, reporting, scheduling, follow-ups and the handoffs between systems that nobody has time to wire together.

What is included

Three pieces, in this order.

Nothing gets automated before it is understood, and nothing gets automated that should stay a human decision.

01
Process mapping

We sit with the workflow as it actually runs: where the work enters, where it stalls, and where someone is retyping something a system already knows.

02
Agents and pipelines

Automation built end to end, with approval gates placed wherever money, customers or legal exposure are involved. You see what ran, when, and what it changed.

03
Local-first deployment

Where the data is sensitive, it runs on your own hardware or your own cloud account. You keep the credentials, the models and the logs, not us.

How an engagement runs

Assess, build, hand over.

Small scopes, priced before work starts. If the scope changes, you hear about it before the invoice does.

01
30-minute call

What is slowing you down, what you have already tried, and whether this is worth doing at all.

02
Written assessment

What is worth automating, what is not, what it would take, and what it would cost. In writing, before anyone builds anything.

03
Fixed-scope build

Built against the agreed scope, tested against your real data, with a human approving the writes that matter.

04
Handover or run

Documentation and training so your team can run it. Or keep us on to monitor, maintain and extend it.

Who this is for

Teams doing work a system should be doing.

Small businesses where the owner is still the integration layer. Teams spending days a week re-keying data between tools that do not talk to each other. Anyone who has bought off-the-shelf software that almost fits.

Related services: IT infrastructure and technology consulting. Not sure which one you need? The first call sorts that out.

Questions teams ask

Do we have to hand over our data?

No. Where the data is sensitive, the automation runs on your own hardware or your own cloud account. You keep the credentials, the models and the logs — not us.

What if the automation makes a mistake?

That is why there are approval gates. Anything touching money, customers or legal exposure waits for a human click, and everything that runs is logged so you can see what changed and when. Mistakes happen; unchecked mistakes do not.

What if the scope changes mid-build?

You hear about it before the invoice does. We price fixed scopes up front, and anything structural gets a written change note and a number before work continues.

What if we do not want to maintain it afterwards?

Two options: we hand over documentation and training so your team runs it, or we keep it running as a managed service. Either way you keep the keys — the handover is not a trap.

Show us the process that hurts.

A 30-minute call, a straight assessment, and a plan you actually understand. No pitch decks, no pressure.

Sazzco Creations · Los Angeles, CA