ANC
An AI Native Company starts
with the people in it.
A project by HA7CH.
01 / THREE PERSPECTIVES, ONE COMPANY
The people taking the risk, coordinating the work, and doing it have different expectations of AI. ANC starts with those needs and connects them through a shared way of working.
Owners
You care about business results and carry the deployment risk. The investment has to make sense in daily operations.
Start with one bounded workflow, an accountable owner, explicit authority, and acceptance criteria. Review the output, delivery evidence, human effort, and exceptions before expanding.
You set the direction, boundaries, and standard for success.
Managers
You need to know what is progressing, where work is blocked, and which decisions need your judgment.
ANC keeps follow-ups, progress, artifacts, and delivery records connected to the original task. A common record gives you a basis for coordinating people and AI, handling exceptions, and reviewing quality.
You guide priorities, coordination, and exceptions.
Employees
Fear of replacement affects whether people share their expertise. Catching exceptions, judging quality, and improving a method are valuable contributions.
ANC gives useful knowledge a source and a maintained home. Dojo connects employees to real work and practice in directing AI. We are developing contribution attribution and training cases so improvements can help future work and new colleagues.
Your expertise shapes the methods. Your contribution should remain visible.
Contribution attribution and the complete work-to-training loop are in development. Recognition and incentives must also be designed with the company.
Human on the Loop
At every level, people retain the direction, judgment, and responsibility that belong to their work. AI advances execution within agreed boundaries.
Persistent tasks, maintained knowledge, and reviewable results connect these three perspectives in everyday work.
Follow-ups return to the same task. Progress survives interruptions. When delivery is uncertain, ANC keeps the result and checks before trying again.
CONTINUITYConfirmed facts, reusable methods, and current progress have separate homes. Sources and versions make important changes traceable.
COMPANY CONTEXTDefine the outcome, owner, boundaries, and acceptance criteria. Preserve evidence of what was produced, delivered, and verified.
ACCOUNTABILITYFaster individual work can still run into slow handoffs, waiting, and repeated explanations. ANC also asks how information moves, how capabilities meet, and how results return to the work.
Lawted traces the ANC framework to work with a racing team. Engineers held tire information, public relations needed sponsor details, and logistics arranged travel. The owner became the relay between them. That experience shaped a direction for ANC: connect company information and working methods so the team can draw on them directly.
We design the harness to connect context, capabilities, authority, and results. An agent can carry routine execution forward; judgment, relationships, and action on site call for the right person. The aim is to bring that person’s result back into the continuing task, with responsibility kept clear.
02 / HUMAN ON THE LOOP
Define a good outcome. Give the work room to move. Step in for judgment, changes in direction, and acceptance.
The example illustrates the design. Available capabilities and approval paths depend on the configured deployment.
03 / ONE FOUNDATION, MANY WAYS IN
ANC is the core. Hardware captures spoken context, training helps people participate, and setup tools bring it into the company.
Persistent work. Maintained company knowledge. Reusable methods. Results people can inspect.
A shared framework, configured for each company.
Bring selected, authorized conversations into ANC. Keep their source and continue the work after the conversation ends.
Hardware validation is ongoing.A work and training interface for learning to delegate, evaluate, and improve AI work. Its live workspace connects to ANC’s existing tasks.
Explore Dojo ↗Setup and account configuration for each company. Reuse the foundation while keeping company knowledge and accounts separate.
04 / HUMAN EXPERTISE, ORGANIZATIONAL MEMORY
People know the exceptions, quality standards, and customer context that procedures often miss. ANC gives confirmed knowledge and working methods a maintained home.
We’re developing contribution attribution and training cases grounded in reviewed work—so improving a method, resolving an exception, and teaching a new colleague can remain visible contributions.
“Check the drawing revision before reusing the previous quote.”
Illustrative lesson from a quoting workflow.
Keep the source
Review the correction
Update the working method
Build a training case
In development05 / BUILT IN THE WORK
Our field deployments and our own daily work inform what becomes part of the shared ANC framework.
In an ongoing accounting-firm deployment, an assistant uses project records and firm procedures to answer questions and locate original workpapers.
We use ANC to produce websites, presentations, and design materials. Follow-up instructions and results stay connected to the work.
06 / START WITH A CLEAR OUTCOME
Agree on the outcome, owner, sources, and acceptance criteria.
Configure the company instance, selected tools, and work entry points.
Check the result, delivery, exceptions, and human effort required.
Reuse the core and maintain methods as more recurring work moves into ANC.
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BUILD AN AI NATIVE COMPANY
Start with the outcome, the people involved, and the systems you already use.
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