AI modernization
done right

We build agentic workflows for companies with real process and real people, and repetitive work to remove.

If a person does it the same way every week, it probably does not need a person.

It is not enough work to justify a project, and far too much to keep paying someone to do. That gap is where we work.

  • Back officeThe jobs that repeat between systems. Rekeying, filing, chasing.
  • ContentImages, video, and ad variants your team produces on repeat.
What we build

One job, taken off your desk and kept off it.

  1. 01

    Walkthrough

    We watch how the work actually gets done, with the people who do it.

    A written read on which jobs agents will move and which they will not, whether or not you hire us for the rest.
    Process mappingTime studyWritten findings
  2. 02

    First workflow

    One job, picked for volume and low risk. The agent reads the input, decides, and writes the result back into the system you already use. When it cannot decide, it asks a person. We connect through whatever the system offers: an API, a database, a mailbox, a nightly file drop. You replace nothing.

    A person no longer has to do it.
    ClaudeTool useERP / CRMEmail & docsLegacy DBsSFTP
  3. 03

    Live and watched

    It runs alongside your team while we tune it. When someone on your team disagrees with what it did, we change it.

    Tuned on your real work.
    Evaluation runsSpend capsEscalation rules
  4. 04

    In service

    Your team uses it day to day. We keep it current as your process and the systems underneath it move.

    It keeps working, because we stay on it every month.
    ObservabilityAlertsRunbooks
Content pipelines

Your social media on autopilot.

Posts, images, video, and ad variants, rendered from your products, your templates, and your brand rules.

Anyone can hand you a folder of images once. We build the thing that makes them every week, without you in it.

  • What goes inYour product data, your brand rules, and the templates your team already works from.
  • What comes outPosts, images, video, and ad variants, sized and cropped for every channel you post to.
  • Who stays in itOne person approving the output, instead of a week spent making it.
Fit

Worth being honest about early.

This only works when the problem is the right shape.

Good fit

Talk to us

  • You have been running long enough to have real process.
  • Someone does the same job dozens of times a week.
  • Someone cuts the same asset into thirty sizes every launch.
  • You want the system kept running, not handed over and forgotten.
Poor fit

We would be the wrong call

  • You want a model trained from scratch, or research into something nobody has built yet.
  • The goal is a headcount cut. That is a different project with different ethics.
  • Nothing can touch production and no data can leave the room, including to a model you host yourself.
Who you get
I have spent twenty years writing software and the last three with agents doing most of the typing.

Hi, I'm Will. I have watched a lot of capable people give their weeks to work nobody hired them for. Rekeying the same fields, filing the same emails, chasing the same update every Tuesday. They know it is beneath them, and it wears on them.

That is the work I want off their desks. The people stay. The work goes.

Will Saults Founder, hefted. Twenty years of shipped work at saults.io.
Questions

The ones worth asking a new practice.

You are brand new. Why would I hire you?

The practice is new. The work is not. Twenty years of shipping software, the last three building with agents daily.

Being new means the first engagements matter more to me than they ever will later. The first step is small and scoped, so finding out costs you very little.

Is this going to replace my people?

Not how I work. The jobs worth handing to an agent are the ones nobody wants and nobody was hired for. The rekeying, the filing, the chasing.

If the brief is a headcount number decided in advance, I am the wrong person, and that is why it is listed under poor fit above.

Our systems are ancient. Is that a problem?

It is the job. Established businesses run on software that predates the current staff, and any practice that needs you to modernize the stack before it can help you is selling you a migration.

If a system can be reached at all, through an API, a database, a mailbox, or a file on a schedule, an agent can work with it.

What happens when the agent gets something wrong?

It will, so the design assumes it. Every workflow ships with an explicit list of what it is never allowed to decide alone, a path to escalate to a person, and evaluation runs that catch drift before your customers do.

While it runs alongside your team, we adjust it wherever it and a person disagree.

What does it cost?

I have not published rates, and I would rather say so than print a number I have to walk back. The practice is new and the engagement model is still being set.

Tell me what repeats and roughly how often, and you get scope and a price for your situation before anything gets built, plus the monthly figure for keeping it running afterwards.

Where does our data go?

Wherever your policy says it can, agreed in writing before anything is built rather than discovered later.

If you have a hard constraint, a residency rule, or a no-third-party-model rule, bring it to the first conversation. It shapes what is possible and sometimes rules the work out, and you should hear that from me early rather than late.

Next step

Tell me what keeps eating the week.

One job that repeats, and roughly how often. That is enough for me to say whether agents will move it.

The first step is small and scoped, so finding out costs you very little.

Or just email

hello@hefted.ai

Goes to my inbox. I read these myself and reply within a couple of days. You will not be added to a mailing list.

The name

A hefted flock stays put without fences.

It comes from hill farming. A hefted flock has learned its patch of open fell and stays there without fences, and passes that knowledge down to its lambs.

No walls, no shepherd standing over them, no gates to check. The knowledge lives in the flock. You put the work in once, at the start, and then the ground holds itself.

Most automation needs a person watching it, correcting it, restarting it on Monday. If yours does, it is not finished, and we did not do our job.

A woman leaning on a kitchen counter in morning light, eyes closed and smiling, holding a mug of coffee in both hands
The system
On autopilot
The person
Gets the week back