Code Quarry

How it works

We prove it. We build it with you. We operate it for you.

Three phases, in order. Watch the work, find the work, do the math, and build the employee are the detailed steps inside the first two. The third is the managed partnership that keeps your AI employees doing their job after launch. You always know what you are getting, what it costs, and who is accountable for the result.

How we work

The three phases, in detail.

  1. 1We prove what is worth doing together.
  2. 2We build it with you.
  3. 3We operate and improve it for you.

Nobody is asked to buy a proposal for work they have not seen quantified, and nobody is left running the AI on their own after launch.

  1. 1

    Prove what is worth doing

    Feasibility and business case

    We come in and watch how the work actually happens. Together, we identify what an AI employee can realistically take over, where a person still needs to be involved, and what the opportunity is worth.

    1. Step 1Watch the work

      See how the process actually happens. The people closest to the work share their screens and walk through the real systems, handoffs, documents, decisions, exceptions, and workarounds.

      You getA clear picture of where people are carrying work around and between the systems you already have.

    2. Step 2Find the work

      Identify the costly operational work that AI employees and automation can take over.

      You getA short list of the work worth taking off your people, in your own vocabulary.

    3. Step 3Do the math

      Quantify the current state: who, times minutes, times frequency. Also delays, error risk, capacity limits, missed revenue, cash trapped, and what happens when nobody catches an exception.

      You getThe cost of the work as it runs now, in numbers you can check against your own operation.

    Before we recommend a build, we confirm the work is technically and operationally feasible, and we put a number on the cost, time, capacity, or revenue opportunity.

  2. 2

    We build it with you

    Collaborative build

    Code Quarry owns the design and build, while working closely with your team to make sure the AI employees fit your operation. Your people help define the rules, exceptions, approvals, and human boundaries. We test the work together before launch.

    1. Step 4Build the employee

      Design what the AI employee will understand, decide, do, communicate, monitor, and escalate. Keep deterministic rules deterministic. Keep people responsible for judgment, approval, relationships, and high-risk exceptions. Then build it around the systems already in place.

      You getWorking AI employees, integrated with your existing tools and tested against criteria you agreed to up front.

    Code Quarry

    • Design and build the AI employees
    • Handle the technical work, integrations, and testing
    • Fit the result to how the business actually operates

    Your team

    • Share how the work really happens
    • Define the rules, exceptions, and approvals
    • Decide where a person stays involved
  3. 3

    We operate and improve it for you

    Managed AI partnership

    After launch, Code Quarry stays responsible for watching, validating, improving, and proving the performance of your AI employees. You stay focused on the business. We make sure the AI employees keep doing the job they were built to do.

    Continuous monitoring, weekly validation, tested changes, monthly improvement, and a written report that proves the value.

    See what the managed partnership includes

What an AI employee can do

More than a workflow. Less than a person.

An AI employee can evaluate incoming information, connect multiple steps, make bounded operational decisions, carry the work forward, and handle exceptions according to your instructions. It works within approved SOPs, rules, and guardrails, and it brings in a person when judgment, approval, risk, or a relationship requires one.

  1. 1Understandwhat is happening.
  2. 2Gatherthe information it needs.
  3. 3Decidewhat to do within approved SOPs, rules, and guardrails.
  4. 4Actacross the systems the company already uses.
  5. 5Communicatewith customers, employees, or partners when authorized.
  6. 6Monitorwhat happens next.
  7. 7Escalatewhen judgment, approval, risk, or a relationship requires a person.

What you get from the analysis

The work, the cost, and what to build.

You leave with a clear picture of the operational work happening around your systems, what it costs you today, and what we recommend building first. You decide whether the business case is worth pursuing.

If the workflow is still ambiguous, we schedule another scoping conversation before pricing anything. A proposal is only worth reading when the work, systems, access, controls, and human boundaries are defined.

A Code Quarry proposal showsnine sections
  1. 1What Code Quarry observed
  2. 2What the work costs today
  3. 3Where time, money, risk, or revenue is being lost
  4. 4What the AI employees will do
  5. 5What people will still control
  6. 6The expected value and assumptions
  7. 7What Code Quarry recommends building first
  8. 8Build cost and sequence
  9. 9The ongoing partnership needed after launch

Assumptions are stated. Human approval and judgment points are explicit. The one-time build is separate from the ongoing partnership.

Your first step is a conversation.

Start by watching the work.

A 30-minute call is the first step. We talk through how your operation runs day to day and whether there is enough here to look deeper.

Book a 30-minute call