Overview. Chapter 1 of 6.
Work requests stop living in inboxes. They land on a work board, an AI coordinator drafts a plan, someone on our team approves it, the work gets done, and our team signs off. This is how we run our own queue. We set up the same kind of system for clients, for software and for ordinary office work, fitted to the tools they already use.
01
Email, texts, and side conversations become the queue. A quote request, a schedule change, and a fix to a website all wait on whoever saw them last. Things slip because nobody can see the whole list. Answering "where is that?" means interrupting the person who happens to remember.
A front office feels this as the week fills up. So does a job schedule that lives on a shop whiteboard, or in one person's head. It holds together for a while. Then it does not.
02
A request becomes a card on the work board. The AI coordinator drafts a plan. Someone on our team approves it before the work starts. The result comes back to our team for sign-off. The card shows where things stand the whole way.
A request, an idea, or a priority becomes a card everyone involved can see.
The AI coordinator turns the request into a short plan: what will change, and how we will know it worked.
Nothing starts until someone from Analytics Supply accepts the plan.
The repetitive part runs from the approved plan. That might be a quote, a schedule update, or a change to a site.
We check the result against the plan. The card closes when we accept it, or it goes back if we do not.
The board shows the status. The people waiting on the work hear when the plan is ready, when the result is in review, and when it is done.
Your customers and your team put work on a board. An AI coordinator drafts a plan. Our team approves it, the work gets done, and our team signs off. Status comes back at each step.
This is an example of the kind of work, not a customer of ours. A small crew takes quote requests by phone and text. Jobs and the schedule live in one person's head, or on a whiteboard in the shop.
A new quote request lands on the work board. The AI coordinator drafts a plan: confirm the measurements, prepare the quote, and hold a place on the schedule. Someone on our team approves that plan. The quote and the schedule update get prepared. Our team checks them and signs off. The customer and the crew get a status update at each step. The owner can see the card instead of asking who has the request.
This is an example of the kind of work the system can carry. It is not a client of ours. The work we have actually run this way is the contact form on this site.
03
A person designs the approach, decides what good looks like, and turns what was asked for into work the system can carry. On our queue and on client engagements, that person is on our team.
Which requests belong on the board, what the plan has to include, and what done means.
The draft is a proposal. Work starts after someone from Analytics Supply accepts it.
The result is checked against the plan. We accept it or send it back.
Your part is to send the request, the priorities, and the context, and to say what you need. You receive updates. You are not asked to approve the plan or sign off on the result.
Between those gates, the repetitive work moves without another meeting. The AI coordinator does not approve its own plan or sign off on its own work.
04
We needed new inquiries to reach us without depending on a lost email. The request went on our work board. The plan described the form and where a submission should go.
Our team approved that plan. The form was built and checked on a private preview, then corrected until a real submission behaved. It is live on the contact page and on the homepage.
05
We set this up around the tools your team already uses. The work can be quotes, scheduling, and other office tasks, or changes to software. The capabilities match what we use ourselves: one place for requests, a drafted plan, approval by our team, the work, sign-off by our team, and status along the way. The wiring matches your tools. It does not have to match ours.
The fence crew above is an example of that shape, not a client. The contact form is work we have run this way.
How this works · AI workload automation
The picture is how a software change moves on our site. Other work uses the same gates, with different tools.
Requests and priorities are cards. Customers send work requests. We add priority and context.
It takes a prompt, drafts the plan, coordinates the work, and sends updates back to the work board and to us.
A plan prompt goes to a coding agent when the work is a software change. The plan is saved in GitLab. Someone on our team approves it before a build prompt is sent.
The build prompt sends the coding agent to read the repository and the pipelines, do the work, and open a merge request.
GitLab deploys a temporary review app to Cloud Run for that change. The coding agent reads the logs. We verify the result against the plan.
The live site deploys separately from that review app. For this website, production is App Engine. A change reaches the live site when it is accepted, not because the review app existed. Completion and status go back to the work board.
We design the flow, configure the rules, translate the request into the prompt, and validate the result. The AI coordinator does not approve its own plan or sign off on its own work.
Quotes, scheduling, and other office work use the same gates: work board, drafted plan, our approval, the work, our sign-off, updates. They do not have to use GitLab, Cloud Run, or a coding agent. Those are how we ship a software change on this site.
The request was the form now on the contact page and the homepage. The plan described the form and where a submission should go. Our team approved it. We checked it on a temporary Cloud Run review app. The live site was updated in a separate deploy.
Arrow keys move between chapters. Choose a card to jump ahead.
