The AI that builds AI for your business.
Gravibot interviews your team, works out how the business runs, and builds the agents and software it needs. Then it tests them, ships them, and keeps fixing them after launch.
A goal goes in. A working agent comes out.
Watch Gravibot build an after-sales agent for a manufacturer, from the first interview to live conversations. Each stage hands the next one something it can use directly.
We get about 900 customer messages a week. Most are the same few questions, and every one still takes a person.
Ticket #8817 is about a pump that failed after the warranty ended. Nobody wrote down what happens then.
The pump is 2 months past its warranty. What should the agent do?
Quote the repair. Anything over ¥2,000 comes to me.
Here is how the agent will work. It answers what it can check, and hands you the decisions that need an owner.
The agent, its tools, and its permissions are in the review queue.
export const afterSales = agent({
job: 'Answer after-sales messages',
tools: [erp.findOrder, warranty.openClaim, repair.quote],
refunds: { upTo: 2000, above: handTo('service lead') },
procedure: './procedure.md',
});
One failed. A customer sent only a photo, and the agent guessed the order. I am fixing it.
Ready to answer 10% of new messages. Your team can take over any conversation.
Approved.
The new X200 pump has an 18-month warranty. I updated the agent and replayed all 200 conversations. Ready for your approval.
AI can write software. Getting it into a business is still manual.
Someone has to interview the staff, find the rules nobody wrote down, connect the ERP, and test the edge cases. Gravibot does that work itself.
| Question | AI assistants | Agent builders | Consultancies | Workflow tools | Gravibot |
|---|---|---|---|---|---|
| Who decides what to change | You | Your team | Consultants | You | Gravibot, with your approval |
| Who builds it | You | Your team, on their platform | Consultants | You configure steps | Gravibot |
| Who fixes it after launch | You | Your team | A new engagement | You | Gravibot |
| Cost of the next workflow | Same effort again | Same effort again | Grows with every workflow | Same effort again | Lower, because it remembers |
Every deployment makes the next one cheaper.
Three months after launch, you extend the warranty on one product line. Gravibot already knows which rules, which steps of the agent, and which tests that change touches, so it skips the interviews and goes straight to the fix.
Connectors, test patterns, and repair procedures carry over to the next customer. Your data and business rules stay with you.
Start with one workflow. Expand across the company.
The self-building enterprise.
Each stage gives Gravibot more of the work and asks less of your people.
Autonomous deployment
Gravibot runs a delivery from the first interview to production. You supply information, access, and decisions.
The self-evolving enterprise
Gravibot stops waiting for requests. It watches how the business runs, finds the next thing worth fixing, changes the systems it built, and measures the result.
The self-building enterprise
A company stops buying and customizing a new product for every workflow. It says what the business needs, and AI builds the software and keeps it current.