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DH STUDIOS AI agents for operations

AI agents for operations

AI agents that run the busywork in operations, built into the tools your team already uses.

We draw each agent on one page, build it into your systems and train your team to run it. A person approves every hand-off.

Book a 30-min call
Answers within one business day

Nothing ships without a signature.

Running at

Towne Properties · Vestaboard · Sorinex

Workflows, running live

Everyone has AI tools. Few have workflows that run.

Each dot is one piece of work. The red step is the only person in the loop; every other step is an agent.

The red box is the only step with a person in it; every other step is an agent.

  • one piece of work
  • the agent
  • the only human in the loop
  • sent and logged
  • Simulated runs · example items, not client data

Agents 05–07 · accounts payable · three agents, two loops

Invoice to payment: three agents, a vendor outside your walls, one signature.

A reader agent pulls every line off the invoice. A matcher checks it against the purchase order and the receiving record. Matches go to the payment batch; mismatches go to a resolver that drafts the vendor query. The vendor's reply comes back for a fresh match. The controller signs every payment and every outgoing query.

Invoice emailap@Vendor portalEDI · uploadsREADERreads every lineMATCHERPO · receipt · invoicePayment batchmatched · due soonRESOLVERdrafts the vendor queryController signssigns every hand-offTO SIGN · 0HUMAN IN THE LOOPPaid · postedERP updatedVendoroutside party
Hover or tap a box to see what happens there.
Run log · simulated
    Handled
    0
    To sign
    0
    Signed
    0

    Buildable now. Needs read access to purchase orders and receiving in the ERP. Watch a mismatch loop back through the vendor before it gets paid.

    Sound familiar?

    If your team does any of these by hand, we can help.

    • Sorting the shared inbox and forwarding each request01
    • Answering the same questions by email, again and again02
    • Typing up quotes, replies and work orders from scratch02
    • Copying numbers from three systems into one weekly report03
    • Pulling the same figures by hand before every meeting04

    Led by an industrial engineer

    The principal

    Drayton Highlander

    Principal · industrial engineer

    Cincinnati, Ohio

    DH Studios builds AI agents for operations. We design, build and integrate AI agents inside the systems a company already uses, and train the team to run them, one workflow at a time. Every agent starts as a one-page drawing, is built to it, and ships only when a person signs. Founded by Drayton Highlander, an industrial engineer, in Cincinnati.

    Proof standard

    Work

    No claim without a receipt. Every number has a baseline, a timeframe and a source; a number that does not exist yet stays a visible placeholder.

    Case 01 · Property managementCincinnati, OH

    Towne Properties · Daily pricing report from Yardi, EliseAI and the pricing sheet

    1. DAILY PRICING REPORT

    2. LEASING LEAD SIGNS

    3. SENT TO THE TEAM

    8+ hours by hand → 10 minutes

    per daily report; [timeframe], against a [baseline]

    Live in
    Live in [N] weeks
    Signed by
    Signed by Leasing lead
    Source
    Source: [run log, date]
    Read the case study
    Case 02 · Consumer hardware[place]

    Vestaboard · Product videos from the live Vestaboard app, built through the build and review loop

    1. PRODUCT VIDEO

    2. MARKETING LEAD SIGNS

    3. PUBLISHED

    8 hours per video → 15 minutes

    per video; [timeframe], against a [baseline]

    Live in
    Live in [N] weeks
    Signed by
    Signed by Marketing lead
    Source
    Source: [run log, date]
    Read the case study
    Case 03 · Strength equipmentLexington, SC

    Sorinex · Verified 3D models wired into a configurator and customizer, in place of a product shoot

    1. VERIFIED 3D MODEL

    2. PRODUCT LEAD SIGNS

    3. LIVE IN THE CONFIGURATOR

    A week per item → A day

    per item; [timeframe], against a [baseline]

    Live in
    Live in [N] weeks
    Signed by
    Signed by Product lead
    Source
    Source: [run log, date]
    Read the case study

    Why DH

    Four rules we build by

    • Drawn before it's built

      Every agent starts as a one-page drawing: what it watches, what it drafts, who signs and what we measure.

    • Priced before we start

      Each sheet has a fixed scope and a price you agree to before anything is built.

    • Nothing ships without a signature

      A person on your team approves every hand-off. Their step is drawn into every agent.

    • We run on it ourselves

      Our own morning digest and build loop run on the same agents and the same sign-off.

    Training

    And we train your team to run it.

    Every build ends with your people running it. They learn to run the agent, read its log and change it, from a written runbook. New people get refreshers as part of the monthly run.

    How it works

    From first call to a running agent

    1. 30 MIN · FREE

      Call

      30 minutes, free. A yes, a no, or a smaller first step.

    2. 2 WEEKS

      Drawing

      Two weeks inside the operation, then a one-page drawing of the agent. You sign it before anything is built.

      YOU SIGN

    3. Pilot

      One workflow, live on real work, with a run log and a baseline.

    4. Train

      Your team learns to run it and change it, from a written runbook.

    5. MONTHLY

      Run

      Monthly: operated, tuned and reported. Then the next sheet.

    See all seven steps

    Specified. Built. Signed off.

    Start with one workflow.

    Book a 30-minute call. We look at one workflow together, and you leave with a yes, a no, or a smaller first step.

    Book a 30-min callAnswers within one business day