KETUPAContact

WHAT WE DO

Make the Agent you already use better at guiding customers—and keep it reliable as the system changes.

KETUPA works with your existing AI Agent and commerce stack. We improve how the Agent understands customers, applies product and business knowledge, explains options, makes recommendations, and guides what happens next.

We make or co-make the changes, validate that the experience actually improved through before-and-after comparison, and maintain important behavior over time.

See the Five Stages

HOW WE WORK WITH YOUR TEAM

Improve one important part of the Agent-guided customer experience—end to end.

We start where the Agent needs to guide customers better.

That may involve how it understands a need, explains a product, asks questions, compares options, recommends, handles exceptions, preserves context, or guides the next step.

KETUPA handles the research, behavior design, evaluation, implementation work, and validation. Your team reviews only the product and business choices that require approval.

Review an Agent Guidance Challenge

  1. Stage 01

    Understand the current Agent experience

    We review how the Agent guides customers today and the knowledge, requirements, controls, and tests already behind that experience.

    • Current evidence

    We bring together

    • Product and catalog knowledge
    • Business requirements, policies, and exceptions
    • Existing Guidance, Skills, and Agent controls
    • Current Agent behavior and known examples
    • Existing tests and available quality signals
    Output
    Current Agent & Guidance Baseline
    A clear view of what already works, where the experience is weak or inconsistent, and what deserves improvement.

  2. Stage 02

    Define and calibrate better Agent behavior

    KETUPA turns your existing product expertise, business requirements, guidance, and known examples into a clear target for how the Agent should behave.

    We prepare the proposed guidance and improvements. Your team approves only the choices that depend on business policy, commercial preference, or important exceptions.

    • KETUPA prepares

    KETUPA structures

    • What already works and should be preserved
    • What needs to improve
    • Important customer and product conditions
    • Business rules and exceptions
    • When to explain, ask, compare, recommend, verify, rerank, hand off, or act
    • How confidence should remain consistent across the experience
    Output
    Business-Approved AI Agent Guidance Specification
    An operational definition of the accepted guidance and Agent behavior for the selected experience.

  3. Stage 03

    Evaluate and benchmark the live Agent

    KETUPA turns the approved behavior into vertical, category-specific QA and evaluation.

    We run—or coordinate the run—against the current Agent to show what works, where behavior breaks, where it becomes inconsistent, and which improvements matter most.

    • KETUPA prepares

    Evaluation includes

    • Realistic customer interactions
    • Product and policy grounding
    • Expected guidance and behavior
    • Clear assertions and appropriate graders
    • Different wording, follow-ups, and later turns
    • Consistency across answers, recommendations, ranking, product presentation, and actions
    • Repeat testing across relevant Agent conditions
    Output 01
    Vertical AI Shopping Guidance Evaluation Suite
    Reusable, category-specific quality coverage built around your products, requirements, and customer experience—not a generic chatbot test list.
    Output 02
    AI Shopping Agent Performance Benchmark
    A measured view of what already works, where the Agent is weak, and where improvement will create the most value.

  4. Stage 04

    Improve and implement

    KETUPA connects confirmed quality gaps to the controls behind the live Agent experience.

    Depending on platform access, we can implement directly, co-implement with your team or Agent partner, or provide a tightly scoped package for the team that controls the system.

    • Shared implementation

    Changes may involve

    • Product and catalog data
    • Knowledge
    • Guidance and instructions
    • Skills, Journeys, or Topics
    • Eligibility and ranking
    • Product presentation and claims
    • Follow-ups and conversation state
    • Routing, tools, and Actions
    Output
    Implementation Change Package
    Accepted improvements mapped into the existing Agent and commerce stack, with clear implementation and validation requirements.

  5. Stage 05

    Validate the improvement and keep it reliable

    After implementation, KETUPA reruns the same important customer interactions and compares the updated Agent with the original baseline.

    We confirm that the intended behavior improved, that good existing behavior remained intact, and that the change did not create unnecessary friction or new quality problems.

    • KETUPA prepares

    Validation includes

    • Baseline-to-post-change comparison
    • Confirmation that the intended behavior improved
    • Checks that good behavior remained intact
    • Guardrails against over-asking, over-warning, or over-controlling
    • Important interactions retained for future releases
    • Ongoing updates as products and systems change
    Output 01
    Updated AI Shopping Agent Performance Benchmark
    A clear record of what changed, what improved, and what still needs attention.
    Output 02
    Retained Regression Test Suite
    Critical must-pass behavior preserved for future Agent, model, prompt, catalog, policy, ranking, workflow, and platform changes.

WHAT YOUR TEAM GETS

Working assets that make every improvement reusable.

01

Business-Approved AI Agent Guidance Specification

A clear, approved target for how the Agent should guide customers in the selected experience.

02

Vertical AI Shopping Guidance Evaluation Suite

Category- and merchant-specific QA and evaluation that can be run repeatedly as the Agent evolves.

03

AI Shopping Agent Performance Benchmark

Baseline and post-change performance showing what works, what improved, and where further attention is needed.

04

Implementation Change Package

Concrete improvements mapped into the controls available in your existing Agent and commerce stack.

05

Retained Regression Test Suite

Important behavior preserved so it can be checked again after future system changes.

ONGOING OPTIMIZATION & RELIABILITY

The work does not stop after one improvement.

As products, guidance, models, catalogs, policies, workflows, and Agent platforms change, KETUPA can continue reviewing performance, improving weak behavior, updating the quality suite, and validating that important guidance still works.

Improve what is weak. Preserve what works. Know what changed.

START WITH ONE AGENT EXPERIENCE THAT MATTERS

Show us where your Agent needs to guide customers better.

KETUPA will help you understand the current experience, establish what should improve, make or support the changes, validate the result, and keep the improved behavior reliable.

Review an Agent Guidance ChallengeTalk to KETUPA