Generative AI Product Audit & Value Evaluation

Ensure Your AI Creates Real Value—With Clarity, Trust, and Impact.

You’ve built an AI-Driven product—does it truly solve user needs, earn their trust, and deliver lasting value?

We audit GenAI-powered products to ensure they’re not just functional—but valuable. We focus on output quality, UX clarity, user perception, and product impact—so you can launch with confidence and scale with purpose.

GenAI Product Audit

Why You Need a GenAI Product Audit

Even the best models can create weak products if the UX is unclear or the value isn’t felt by users.
This audit helps you answer critical questions:

  • Is my GenAI feature solving a real problem or just adding novelty?
  • Are the outputs helpful, clear, and consistent?
  • Can users understand, trust, and control what the AI is doing?
  • Are there UX or ethical risks that could erode trust over time?

What We Evaluate

User Value & Product Impact

  • Is the AI creating real value for users?
  • Does it save time, reduce friction, or unlock new outcomes?
  • Would users miss it if it disappeared tomorrow?

Output Quality & Prompt Testing

  • Do outputs hallucinate, contradict, or confuse?
  • How does the system respond to diverse real-world prompts?
  • Are responses appropriate, inclusive, and aligned with expectations?

UX Clarity & Trust Experience

  • Can users clearly see what the AI is doing—and why?
  • Are there feedback loops and safety nets in place?
  • Is the experience intuitive, transparent, and confidence-building?

Ethical Use & Risk Awareness

  • Are biases or exclusions present in output behavior?
  • Are users exposed to misleading or harmful content?
  • Are AI disclosures, consent, and accountability mechanisms clear?

Who This Service Is For

You need this audit if you’re building:

  • AI writing or content generation tools
  • LLM-powered chatbots or assistants
  • SaaS features enhanced with GenAI
  • AI coaches, tutors, or emotional assistants
  • Creative tools using text, image, or code generation

Whether you’re in product discovery, MVP testing, or preparing to scale or pitch—this audit helps sharpen your value and avoid launch risks.

Our process

01

Discovery & Product Goals Review

02

Behavior Testing (Prompt-to-Output Audit)

03

UX & Trust Layer Evaluation

04

User Value Mapping

05

Final Report: Insights, Gaps, and Recommendations

Collaborative UX and AI product expertise with agile processes and nearshore support from LATAM.

Why Work With Us

  • We test for what matters to users—value, trust, clarity.
  • UX + AI Product Experts — we speak product, not just prompts.
  • Nearshore from LATAM—global quality, regional agility.
  • Actionable insights— we don’t just flag problems, we help you solve them.
Let’s Make Sure Your GenAI Product Is Worth Using—And Trusting

Book a free consultation and discover how we can help your AI product deliver more value, faster.

FAQ

An AI MVP (Minimum Viable Product) is a lightweight version of an AI-powered product that includes just enough functionality to test its value with real users. It allows teams to validate ideas quickly, gather feedback, and iterate—without committing to full-scale development.

Yes. Our service is designed specifically for non-technical founders or innovation teams. We use no-code/low-code tools, rapid prototyping, and third-party AI platforms like OpenAI or Claude to help you go from concept to MVP—even if you don’t have in-house developers.

We help build:

  • AI assistants and chatbots
  • AI copilots for SaaS or enterprise tools
  • Content or code generation tools
  • LLM-based workflows
  • Custom GPT-style interfaces

If your product uses Generative AI or automates user interaction with intelligence, we can help you design and build it.

A prototype is usually a clickable or semi-functional version to test ideas and design flows. An MVP is a working product, connected to real AI APIs, that users can interact with in live conditions.
We help you build both—starting with fast prototypes, and moving into full MVPs when the concept is validated.

Timelines vary, but most MVPs take 4 to 8 weeks, depending on complexity.
We follow a lean, iterative approach—so you’re always launching the most critical feature first, instead of overbuilding.

We use:

  • No-code/low-code tools like Make, Retool, FlutterFlow, Webflow
  • GenAI APIs like OpenAI, Claude, Mistral, and open source LLMs
  • Prompt engineering frameworks and vector DBs for advanced use cases
  • Optional backend support via Firebase, Supabase, or custom Node.js when needed

Yes. After MVP delivery, we can help with:

  • Iterating based on user feedback
  • Optimizing prompts or flows
  • Connecting with analytics and event tracking
  • Preparing for future development handoff or team scaling

Net Promoter Score: +95
Your Voice Matters:

Our user-centered AI solutions consistently earn promoter ratings—ensuring they’re not only functional but genuinely delightful.

Let’s work together

Get in touch to bring your AI product vision to life.

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