Google Partner Utah SEO, AEO & digital marketing agency
AI and automation

An AI automation agency that closes the loop.

Automation built against the cost of the task, not the excitement about the technology.

Run Digital builds AI and automation for Utah businesses the same way we build everything else: on infrastructure registered to you, against a number that justifies it, and with the willingness to tell you when a task is not worth automating at all.

Run Digital SEO specialist working on a Utah client site
Why Run

Three things we will put in writing.

Every agency says they are different. These are the three we will be held to, on every engagement, from the first month.

01

The accountability factor

A standing meeting cadence, real project management, and deliverables with dates on them. You always know what shipped, what is in flight and what slipped.

You decide if we earn our seat at your table every month. There is no contract asking you not to.

02

A customized solution

Not an AI package with a tool list attached. What your team actually does by hand, and what that costs, decides what gets built and in what order.

Ask for something specific and the answer is usually yes, built for you rather than pulled off a shelf.

03

Actual technicality

Not a sales rep, then a success manager, then an account manager relaying your question to someone who can answer it.

You talk to the person building the workflow.

Why most AI projects quietly die

The technology is not the hard part any more.

Building something impressive with AI has become easy. Building something a team still uses in six months has not. Almost every abandoned automation we have been asked to look at was technically fine and solved a problem nobody actually had.

The second failure is quieter. An automation gets built into somebody else’s platform, on somebody else’s account, with the prompts, the logic and the data living where you cannot reach them. It works beautifully until the relationship ends.

So we start from the task rather than the tool. What gets done by hand, how often, what it costs, and whether a machine can genuinely do it. Sometimes the honest answer is that a better form or a fixed process beats any amount of AI, and we will say that.

Automation that lasts

  • Built against a cost somebody worked out first
  • Running on accounts registered to your business
  • Prompts and logic documented in plain language
  • A human checkpoint where being wrong is expensive
  • Monitored, with failures that are visible
  • Handed over so your team can change it

Automation that gets abandoned

  • Built because the technology was interesting
  • Living in an agency's workspace and account
  • Prompts nobody but the builder has ever seen
  • Fully autonomous on decisions that matter
  • Failing silently until somebody notices
  • A black box only the person who built it can touch
Your numbers, not ours

Automation is only worth what the manual version costs.

Before any discussion of models, agents or tools, there is a simple question: what is this task costing you a year right now. Work it out, and whether to automate it answers itself.

What is that repetitive task actually costing you?

Pick one job somebody on your team does over and over. Four numbers and you have the annual price of leaving it alone.

Your numbers.

0hours a month go into this one task
0a month, at that loaded rate
0a year is what automating this is worth
0hours a month handed back to the person doing it

The reading below is our judgement, not a published finding. The arithmetic is not, and neither is the point it makes: automation is only ever worth what the manual version costs, and most businesses have never worked that out for a single task.

The part nobody puts in the pitch

You can rent the building. Never rent the automation.

Hiring somebody to build your automations is sensible. The problem is where they live afterwards.

An automation is prompts, logic, connections and accumulated corrections. If it runs inside an agency’s workspace, on their API keys, in their account, then the thing you paid to build is not something you own. It is something you are allowed to use for as long as you keep paying.

We build in accounts registered to your business, with your API keys and your billing, and we document what we built in language a non-technical person can follow. Leave us and everything keeps running.

In your name, from day one

  • Every workflow in accounts registered to your business
  • API keys and billing in your own name
  • Prompts and logic documented in plain language
  • The data the automation reads and writes
  • Integrations connected to your systems
  • A handover your team can actually act on

What you find out you were renting

  • Workflows inside an agency workspace
  • API keys you never see
  • Prompts treated as the agency's intellectual property
  • Data passing through somebody else's account
  • Integrations that break the day you leave
  • A black box with a monthly fee attached
In-house capability, agency price

Do you want to manage five marketers?

Doing this properly needs somebody who understands your process, somebody who can build the workflow, somebody who knows what the data is worth, and somebody senior deciding where a machine should not be making the call. Most businesses hire an enthusiast and hope.

We built our careers inside in-house teams before we built this one. Brian has twenty years in agencies. Quinn came up in-house at large publishers. That is the team you are renting time on, without the recruiting or the payroll.

Building it in-house

Five hires
  • Recruiting for a role whose skills changed last quarter
  • Salaries, benefits, payroll tax and software seats
  • Your time spent deciding which tools to buy
  • Automations only one person understands
  • A pile of half-finished experiments nobody owns

Run as your team

One monthly fee
  • Process, build, data and judgement covered from day one
  • A flat package price, not a per-seat licence
  • Thirty years of combined marketing experience
  • No contract, no notice period, no hiring risk
  • Everything built stays in accounts you own
Two Run Digital strategists reviewing a client SEO audit together

Two of the five seats you would otherwise be recruiting for.

The Utah picture

A small-business state where nobody has a spare person.

Automation matters most where headcount is tight, which describes almost every business here. Every figure below is published and linked.

99.4%

of Utah businesses are small businesses. There is rarely a spare person to absorb the repetitive work, which is exactly why it never gets fixed.

SBA Office of Advocacy, 2025
371,569

small businesses in Utah, most of them running processes that have never been written down, let alone automated.

SBA Office of Advocacy, 2025
17.9%

population growth over the past decade against 6.2% nationally, second fastest of any state. Volume grows before headcount does, and manual processes break there first.

USAFacts, US Census data
45.4%

of Utah employees work at a small business, about 690,069 people. Hours handed back are noticed here in a way they are not at a large employer.

SBA Office of Advocacy, 2025

We have not published a figure for how much time AI saves businesses generally. Those numbers circulate widely and almost none of them survive contact with a specific process. The calculator above uses yours, which is the only version worth acting on.

What the work actually is

Eight disciplines of AI and business process automation.

This is the list you would be hiring five people to cover.

Process mapping

What your team actually does, written down, before anything gets built. This is usually where most of the value is found.

Lead handling and routing

Enquiries qualified, enriched, routed and followed up automatically, with a person in the loop where it matters.

CRM automation

Pipeline hygiene, reminders, follow-up sequences and reporting that stop depending on somebody remembering.

Content and asset workflows

Drafting, repurposing and publishing with a human approving anything that goes out under your name.

Data and reporting

Numbers pulled together automatically so nobody spends a morning each week building the same report by hand.

AI agent development and custom integrations

The connections between your systems that no off-the-shelf tool covers, built on your own accounts.

Review and reputation automation

Requests sent at the right moment, responses drafted, and a human deciding what gets posted.

Monitoring and handover

Failures that are visible, and documentation that lets your team change what we built without calling us.

See it in motion

Closing the loop, not adding a tool.

The useful version of this work usually looks boring and quietly removes a job nobody enjoyed doing.

How the work runs

The first ninety days.

Automation projects fail at the start, not at the build. This is the order we work in.

01

Map the work before touching a tool

What actually happens, who does it, how often, and where it goes wrong. Most of the value in this engagement is found in this step, and some of it needs no automation at all.

Written down, yours to keep
02

Price each task

The arithmetic above, applied across the list, so the build order is decided by what the manual version costs rather than by what is most fun to build.

03

Build in your accounts

Your workspace, your API keys, your billing. If an existing automation sits in somebody else's account, moving it is part of the work.

04

Decide where a human stays in the loop

Anywhere being wrong is expensive or public. Full autonomy is a design choice, not a default, and it is the choice most people regret.

05

Hand it over properly

Documentation in plain language, monitoring that surfaces failures, and a walkthrough so your team can change it. We would rather be kept than needed.

Run Digital team member reviewing a printed SEO report

The findings get written down. You keep them either way.

What we run today

Thirty-five clients. Four years. One roof.

35Active clients whose marketing we run right now
4 yearsRunning this model under one roof, with the same team
30 yearsCombined marketing and technical experience
0Clients whose automations live in our accounts

Those are counts, not projections. We have not printed a percentage of time saved anywhere on this page, because that number is entirely specific to the process being automated, which is why the calculator uses yours instead.

Ask on the call and we will walk through a real workflow rather than a diagram of one.

Run Digital team presenting local search results to a Utah client
Automation across Utah

Salt Lake, Utah County, and the rest of the Wasatch Front.

We build this for businesses in Salt Lake City, Provo, Orem, Lehi, Ogden, West Jordan, St. George and across the state. In teams this size the repetitive work usually sits with the person who can least afford the hours, which is what makes the arithmetic above so stark once somebody finally does it.

If the honest answer is that a task is not worth automating, we will say so and tell you what would be a better use of the money.

It does not work alone

Automation multiplies what is already working.

It does not create demand. It makes the demand you have cheaper to handle and faster to respond to.

SEO

Earns the clicks you would otherwise rent, and keeps earning them after the budget stops.

Websites

The page everything else sends traffic to. If it does not convert, nothing upstream matters.

Web analytics

Tells you which half of the budget is working, with tracking you can actually trust.

Paid search

Buys the top of the page today while organic earns it, and shows which keywords convert.

Before you ask

AI automation questions we get every week.

You do. Workflows run in accounts registered to your business, on your API keys and your billing, and we document the prompts and logic in plain language. An automation you cannot see inside is not an asset, it is a subscription.

In our experience it removes tasks rather than roles, and the tasks it removes are usually the ones people liked least. We would rather hand somebody four hours a week back than pretend a workflow can do their job.

A flat monthly package rather than a per-seat licence, with current pricing on the packages page. The calculator above is how we decide together whether a given build is worth doing at all.

It can draft. Anything going out under your name should have a person deciding it is good enough, and that is how we build it. Fully autonomous publishing is how brands end up apologising.

It will, eventually. That is why failures are monitored and visible rather than silent, and why a human stays in the loop anywhere being wrong is expensive. Designing for the failure is most of the job.

Sometimes. Automating a broken process makes it break faster. The mapping step usually turns up a few things worth fixing by hand before anything gets built, and we will tell you when that is the cheaper answer.

It runs through accounts and keys in your name rather than ours, which is the first part of the answer. What data goes where, and what never leaves your systems, is a decision we make with you rather than for you.

There is no contract, so you leave whenever you want and keep the workflows, the prompts and the documentation. If a task turns out not to be worth automating we will say so rather than keep a billable line running.

Start with the free automation audit.

We map what your team does by hand, price it, and write down what is worth automating and what is not. You keep the audit either way, and if the honest answer is that nothing here justifies the build, we will tell you that. Prices are published, so you can see what this costs before you speak to anyone.

Agents we build most often.

Start with the workflow that is costing you the most right now.