Case Study — WiseUnit AI

From a clear problem to a working product.

We partnered with WiseUnit AI to define, design, and build its AI receptionist platform. Our work continues through launch and ongoing development.

PRODUCT PARTNERSHIPAI Operations / SaaS
WiseUnit AI receptionist overview showing status, recent calls, and workspace connections with example data
The delivered receptionist workspace. Illustrative screen data.
Client
WiseUnit AI
Category
AI Operations / SaaS
Our role
End-to-end product partner
01 / HOW WE WORK

A clear plan. Room to adapt.

A founder should know what we’re building, what comes next, and when they can give feedback. Our process makes those decisions visible.

  1. Define the problem

    We start with the people using the product, the problem they face, and what the first release needs to accomplish. That gives the work a shared direction before design or development begins.

    IN PRACTICEFor WiseUnit AI, the need is practical, answer business calls and give each conversation a useful next step.

  2. Plan the milestones

    Together, we agree the requirements and divide them into manageable milestones. Each has a clear deliverable, so you know what to expect and what you’ll be reviewing.

    IN PRACTICEReceptionist setup, call handling, and follow-up show the distinct workflows a product like WiseUnit AI needs to bring together.

  3. Build and review

    We design and develop each milestone, then present the completed work for your review. Seeing the product in use makes it easier to give specific feedback and decide what should happen next.

    IN PRACTICEA booking flow makes the work tangible, a caller’s request becomes an appointment, with the outcome visible to the team.

  4. Launch and improve

    We prepare the product for release and continue improving it after launch. The next round of work builds on what the product and its users need.

    IN PRACTICEOur partnership with WiseUnit AI continues through the current receptionist experience and wider platform development.

Milestones give the project structure, with room to adapt. After reviewing a completed milestone, we can revise the scope and priorities of the next one together before development starts.

02 / THE DELIVERED PRODUCT

The plan, made real.

The receptionist brings calls, business knowledge, appointment booking, transfers, and callbacks into a working product. Our contribution connects the interface people use with the engineering that makes those actions possible.

Customer support and maintenance coordination form the wider platform. The receptionist is one concrete example of the product work we deliver.

View live product
Illustrative WiseUnit AI call detail showing an appointment request, calendar check, and confirmed booking
From conversation to confirmed booking. Illustrative product example.
Services
Strategy · UX / UI · Engineering · Launch & iteration
Technology
Next.js · .NET · PostgreSQL · FastAPI · RAG
03 / THE CLIENT EXPERIENCE

“Vortex Labs understood the product we were trying to create before we had fully figured out how to explain it. They brought clarity to the idea, turned it into a real system, and kept the process focused from start to launch.”

Erblin YmeriCo-founder, WiseUnit AI
YOUR NEXT CHAPTER

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