01. Discover how the work runs today.
Gravibot interviews the people who do the work, reads the documents and records you approve, and watches a recording of the task. The recording shows steps that the written procedure leaves out.
There is no fixed questionnaire. When two teams describe the same handoff differently, Gravibot asks about the difference. When a task keeps coming back for correction, it pulls the cases and asks what caused the rework.
You get a map of the current process, the evidence behind each step, the open questions, and a ranked list of what to change.
In the order walkthrough, Gravibot finds an order for 100 units with 80 in stock. It asks how to handle partial shipments before it designs anything.
02. Turn what it learned into a model of the business.
Gravibot models the business as objects: orders, shipments, invoices, customers, and approvals. For each one it records how its state changes, which system holds it, and who owns the rules about it.
Every rule keeps a link to the interview, document, or record it came from. When an interview and a system record disagree, Gravibot marks the conflict and asks the owner to decide.
In the walkthrough, the model links order quantity, available stock, shipment status, and the operations lead's partial-shipment rule.
03. Design the new workflow and its acceptance criteria.
Gravibot decides which steps to drop, which to merge, and which to hand to an agent. Stable calculations become code. Agents handle inputs that vary, such as free-form emails. People keep the decisions the business assigns to them.
The design states the expected result, the access it needs, and the acceptance criteria, all before any code is written. When two designs are both reasonable, Gravibot shows how each one changes the work for the people involved, and you pick.
In the walkthrough, the partial-shipment rule decides whether an order ships in parts or waits as a whole. That choice goes straight into the test plan.
04. Build the agents, code, and connections.
One workflow often needs several kinds of software: an agent to read incoming documents, a program for fixed rules, a connection to the ERP, and a queue where people handle exceptions. Gravibot builds each one and reuses what already exists.
It uses APIs where they exist and operates the screen where they do not. All work happens in a development environment. You can open every file, configuration change, and interface it creates.
In the walkthrough, Gravibot reuses the inventory connection and builds order extraction, product matching, the allocation rule, and an exception queue.
05. Test against cases your team confirmed.
A test the builder writes for itself proves little. Gravibot tests against acceptance criteria and reference cases your team confirmed. The tests cover normal work, exceptions, permission limits, and the final state in every connected system.
An API call that returns success is one data point. Gravibot also checks that the order really exists once, with the right quantities, and that the next team can pick it up.
When a test fails, Gravibot works out whether the requirement, the code, or the environment is wrong. It fixes that part and reruns the affected tests. The failed case stays in the test suite for good.
In the walkthrough, the same order arrives twice and creates two records. Gravibot adds a duplicate check and confirms that a retry creates no second order.
06. Release to a limited scope first.
Gravibot releases under the access and conditions you set for the workflow. Depending on the risk, it first runs alongside the current process and compares results, or handles a small share of the work.
Before release it writes the operating instructions and names who handles each kind of exception. Every software change can roll back. For actions that cannot be undone, such as a payment, the release plan says who approves them.
In the walkthrough, the trial processes sample orders in a demo environment. It has no access to a real system.
07. Keep improving, and find the next build.
After launch, Gravibot keeps reading results, exceptions, and feedback. A changed policy, a new document format, or a broken integration starts another round of design, build, and test.
It also looks past repairs. Gravibot finds nearby work that uses the same business knowledge, estimates the effort, and proposes the next workflow. You decide whether it goes ahead.
Delivery memory links the next assignment to everything already built. A past correction becomes a test. A confirmed rule serves a second process. An existing connection serves another approved task.
In the walkthrough, Gravibot proposes quote preparation, which reuses the product, price, and stock knowledge from the order workflow.
Where your team comes in.
Your team sets priorities, supplies business knowledge, and makes the decisions that need an owner. Gravibot runs the investigation, the build, the testing, and the follow-up within the access you granted.
When Gravibot needs a decision, it brings the evidence and spells out what each option changes. Routine handoffs happen without anyone coordinating them.
Over time, your team does less of the delivery work and keeps full sight of what Gravibot is doing.
Start with the business you have.
A written procedure, a few sample records, an existing application, or a short walkthrough is enough to start. Gravibot asks for the rest as it goes.