Skip to content
Receipts, not vibes. See how your website actually scores against ours on our new website audit comparison tool!

AI Systems

Put AI where it earns its place.
Not everywhere.

We design how AI fits into your work: which tasks it takes on, where a person checks it, what data it may see, and what it costs each month. A system your team can trust, not a pile of subscriptions.

At a glance

$200 an hour

Book time as you need it, or run it on a retainer.


Designed, not bolted on

Clear jobs for AI, with a person checking what matters.


Spend you can see

Every AI call tracked, with budget alerts before the bill.

Most organizations never decided to use AI. It arrived: one person drafting emails with a chatbot, another summarizing calls, a third pasting customer details into a tool nobody vetted. Each use makes sense on its own. Together they add up to a system nobody designed, with costs nobody sees and output nobody checks.

We start from the work, not the tools. Together we decide which jobs AI takes on, which steps a person always reviews, what information each tool may see, and what the whole thing may spend each month. Then we build it into the tools your team already uses, and keep measuring whether it earns its place.

Key Benefits

Designed, not bolted on

Clear jobs for AI, with a person checking what matters.

Your data stays yours

Written rules for what each tool may see.

Spend you can see

Every call tracked, with budget alerts before the bill.

Who this usually works best for

Sound like you?

  • Anyone who's hired agencies/consultants before

    Burned-Before Buyer

    “You deserve straight answers before you spend another dollar or trust another agency.”

  • VP / Director / Product / Tech lead

    The Reality Checker

    “You shouldn't have to greenlight big bets without a clear picture of what you're signing up for.”

  • Middle management / IC with influence

    Quiet Reformer

    “You can nudge the company toward better without burning yourself out or waiting for a perfect moment.”

  • Ops / PM / Director

    Systems Fixer

    “You shouldn't have to babysit broken systems just to keep the lights on.”

What we build

An AI system, not a pile of AI tools

Most teams already use AI. The trouble is that everyone uses it differently, nobody knows what it costs, and nobody checks its work.

AI readiness review

Where AI would save real hours in your work, and where it would only add risk.

Workflow design

Clear jobs for AI, with a person checking the steps that matter.

Prompts as real assets

Written, versioned and tested, so results stay consistent when people change.

Data boundaries

Rules for what each tool may see, so sensitive information stays where it belongs.

Spend monitoring

Every call tagged by task, team and model, with alerts before a budget runs out.

Team enablement

Short playbooks and training, so everyone uses the system the same way.

Adopting AI

How the options compare

Adding AI is easy. Knowing where it helps, what it sees and what it costs is the part most teams skip.

Features

Everyone picks their own

One AI platform

AI automation agency

Loam

Our approach
Starts from

Whatever each person tried

A product demo

What can be automated

Where AI earns real hours back

Checking the output

Up to each person

Left to the vendor

Rarely designed in

A named person at the steps that matter

Your data

Pasted wherever

The vendor's terms

Wherever the automation needs it

Written rules for what each tool may see

What it costs

Unknown, spread across cards

A seat price, used or not

A build fee plus usage

Tracked per task, with budget alerts

Over time

Drifts

Tied to one vendor

Automations to babysit

Measured and tuned, model by model

We run this on ourselves

AI spend, on one screen

Our portal tracks every AI call we make by client, task and model. Scheduled work runs through half-price batch processing, and alerts fire at 80% and 100% of the monthly budget. Your system gets the same view.

AI spend
Sample data

AI spend

Every AI call by task and model, with budget alerts before the bill arrives.

Roadmap
Sample data

Roadmap

Every workflow fix we're working on, with progress and what needs your team.

Needs your attention
Sample data

Needs your attention

Approvals and decisions waiting on you, so changes don't stall.

How it works

How an AI system comes together

Small, measured steps, so every part of the system has proven itself before the next one goes in.

1

Map

Where your team's time actually goes, task by task.

2

Choose

The few places AI earns its keep, and the ones to leave alone.

3

Design

Jobs, human checkpoints, data rules and a monthly budget.

4

Build

Connected to the tools you already use, with spend tracked from day one.

5

Measure

Quality and cost reviewed, then tuned model by model.

Bigger rollout?

Rolling AI out across the whole organization?

Company-wide rollouts, custom integrations and ongoing tuning run on a retainer instead of by the hour. Same team, one monthly price.

Common Questions

No. We start from how your team works today, in plain language. Where something technical is needed, we build it and explain what it does.

Whichever fits the task, chosen on quality and cost. The system is written so a model can be swapped later without starting over.

We agree up front, in writing, what each tool may see. Anything sensitive stays out of AI tools unless the provider's terms and your own obligations allow it.

That is not the goal. We look for the repetitive work that eats your team's hours, and keep people on the decisions and the checking.

Yes. Often the first job is an inventory: which tools are in use, what they cost, and what data they see, before deciding what to keep.

$200 an hour for design and support, booked as you need it. A larger rollout or ongoing tuning runs on a retainer.

Start a project

Tell us about your project.
We'll tell you how we'd approach it.

A real person at Loam reads every message and replies.

"*" indicates required fields