Get Your Days Back.

We help small teams implement AI into their day to eliminate time-sucking, click heavy, busy work.

What we solve

Most teams deal with similar problems.

Manual scheduling and reporting that only happens sometimes. SaaS subscriptions stacked on top of each other. A workflow that lives in one person's head. And sometimes, half-coordinated AI tools sitting inside it all, adding work slop that creates more chaos than order. Our diagnostic will eliminate the guesswork on where your time is leaking, in dollars and time.

Some "it's definitely not just you" problems we can address.

  • Efficiency

    Manual data work

    Lookups, weekly reports, status updates, the internal reminders that keep the week moving. Across the lean teams we've worked with, this category alone runs 8 to 12 hours per person per week. The work itself isn't broken; it's just being done by people when it shouldn't need to be. Sarah's team got two of those hours back the morning after we shipped the first integration.

  • Cost

    SaaS spend that compounds

    Stacked subscriptions, overlapping features, shadow tools paid for on personal cards. We typically find 20 to 40 percent of monthly tool spend is duplicate, dormant, or replaceable by something already in your toolset. The diagnostic includes a full inventory pass that names every line item and what it's actually doing for you.

  • Key-man

    Knowledge in one head

    The workflow that only one person knows how to run. The system that stalls whenever they're on PTO. Most teams we look at have three to five fragile workflows of this shape. Naming them is half the work; the other half is encoding them so the team owns the process, not the person. We cover this in the second phase of the diagnostic.

  • Governance

    Half-coordinated AI workflows

    Someone has Claude in their browser. Someone else is running a custom GPT. A third has built a half-finished agent that mostly works. Before any governance is in place we routinely see two to four uncoordinated AI tools per ten people. The pile, in 2026, includes AI; the diagnostic surfaces it without judgment.

How we work

We retool your daily flow.

Every engagement runs on the same shape. Four structured weeks (one to diagnose, one to design, two to build), a working deliverable on the other side, and your team owns it when we're done.

  1. 01 Week 1

    Diagnose the friction

    You tell us which tools eat your day. We map the workflows, find the bottlenecks, and measure the cost in hours and dollars (the same pass we run for every diagnostic).

    By end of phase Workflow map + numbered leak list
  2. 02 Week 2

    Design the solution

    We prototype a custom retool of the workflow with the highest payback. Lightweight, specific to your team, built to replace the manual churn we identified in week one.

    By end of phase What we're going to build, before we build it
  3. 03 Weeks 3–4

    Build and hand off

    A working deliverable, ready for production, owned by your team. Knowledge transfer is part of the engagement, not a follow-up. We transfer the system so you can extend it yourself.

    By end of phase Production ready deliverable
Work examples

Every conversation about AI stalls between "we should do something" and "what, specifically."

  • Today

    Your team is 25 people. You don't know what each tool costs annually, what each manual workflow costs in human hours, or what shadow ChatGPT usage looks like across the team.

  • In 4 weeks

    You have a phased plan to replace, consolidate, or automate the highest-impact workflows, and you own the report regardless of what you decide next.

Methodology

Sarah's mornings, in numbers

An AR collections workflow at a 20-person professional services firm, ten hours per week down to one and a half. 440 hours per year of capacity recovered from one accountant's mornings. Total annual impact range identified: $80,000 to $117,000.

Read the full case study
Who we are

Three people. One self-contained unit.

No juniors, no handoffs, no overhead. The three people you meet are the three people who do the work.

  • John Gibby

    John Gibby

    Operations & Strategy, Partner

    Gibby maps your team's workflows, identifies the high-leverage automation points, and architects the AI systems that retool them. He's done it across Fortune 100s and Series A startups, and currently runs a 1M-user product that uses AI throughout its pipeline.

    LinkedIn
  • Wes Kennison

    Wes Kennison

    Client Success, Partner

    Wes runs the client relationship from kickoff to hand-off. He translates what you're dealing with into a brief the team can build against, and makes sure what gets built actually solves it. Twenty years across corporate and agency, creative director by trade.

    LinkedIn
  • Tyler Durrett

    Tyler Durrett

    Solutions Architect, Partner

    Tyler designs and builds the solution end to end, the interface, the logic, and the integration. He's AI native and knows exactly where to inject it, and sometimes more importantly, where not to. Zero hand-off friction between design and engineering.

    LinkedIn

Work with us

Every engagement starts with learning your business.


We teach you to fish.

Every engagement leaves your team more capable than when we arrived. Dependency is not the model, capability is.