Turn your expertise into Agent behavior
We use the product knowledge, business requirements, and exceptions your team already has to make the intended Agent behavior clear and usable.
FROM MERCHANT EXPERTISE TO BETTER AGENT BEHAVIOR
KETUPA turns your product expertise, business requirements, and important exceptions into better Agent guidance and behavior.
We identify where the live Agent needs improvement, make or co-make the changes in the stack you already use, and verify that the customer experience actually got better.
As products, policies, models, and systems change, we help keep the important behavior reliable over time.
WHY KETUPA
An Agent can have accurate product data and still recommend too early, miss an important exception, lose a customer requirement, or behave differently after an update.
KETUPA finds and fixes these problems across the buying experience—not only in one answer.
WHAT KETUPA DOES
What your team already knows
Product knowledgeBusiness requirementsPolicies & exceptionsKETUPA improvement loop
We use the product knowledge, business requirements, and exceptions your team already has to make the intended Agent behavior clear and usable.
We work directly with the parts of your Agent and commerce stack that shape the customer experience—either implementing the changes or working alongside your team and platform partner.
We compare realistic Agent experiences before and after change, protect behavior that already works, and keep important checks ready for future releases.
What changes in the experience
BUILT FOR COMPLEX COMMERCE
KETUPA is built for AI Agents that must do more than retrieve information.
They need to understand the customer, apply product and business judgment, handle important requirements and exceptions, and guide the journey toward the right product, solution, or next step.
Explore Use CasesSTART WITH ONE AGENT EXPERIENCE THAT MATTERS
KETUPA will help you understand the problem, improve the live experience, make or support the changes, and prove whether the result is better.