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VynelixAI
Solution

Conversational Analytics (Ask Your Data)

Ask your business a question in plain English — “which stores will run out this week?” — and get the answer, the chart and the option to save it.

Data + Cloud + AIAsk your data“How do I go from a promising pilot to something the whole business runs on?”

Is this you?

If two of these sound familiar, this solution is worth a conversation.

  • “Every question goes through an analyst and takes a week”
  • “Leaders stop asking because answers take too long”
  • “The same Monday questions are rebuilt by hand every week”
What you get

What changes once it is live

  • Answers in seconds without waiting on an analyst
  • Recurring questions saved and re-run in one click
  • Trusted definitions behind every number

We connect a natural-language assistant to your governed data so anyone can ask “which stores will run out this week?” and get a trusted answer in seconds — with query history, saved questions and usage analytics for the teams who ask the same thing every Monday.

In detail

What’s included — and the impact you should expect

What an engagement actually covers, and what should be different for your business once it is live.

What’s included

  • A plain-English assistant connected to your governed data
  • Trusted definitions behind every answer, with the underlying query visible
  • Saved questions, history and sharing for recurring needs
  • Usage analytics showing what the business is asking
Who it’s for

The people who usually sponsor this

If one of these is in the room, this solution is worth the first conversation.

  • 01

    Business leaders who have stopped asking because answers take a week

  • 02

    Category, branch and plant managers who cannot query their own numbers

  • 03

    Data teams rebuilding the same Monday questions by hand

How it works

Four steps from the problem you have to the change you want

A path your marketing team can walk a client through — no architecture diagram required.

  1. 01

    Connect the assistant to numbers you already trust

    If the definitions are not trusted, we fix that first. A fluent wrong answer is worse than a slow right one.

  2. 02

    Let people ask in their own words

    ‘Which stores will run out this week?’ The system works out the query, asks if something is missing, and returns the answer with a chart.

  3. 03

    Save the questions you ask every Monday

    History, saved questions, sharing. The weekly pack starts as a conversation, not a ticket.

  4. 04

    Show the data team what the business is asking

    Usage tells you which answers to certify, which data is missing, and where self-serve is actually taking hold.

A typical engagement

What the first 90 days look like

One real problem, built on real work, measured before we talk about the second use case.

  1. 1Weeks 1–3

    Map and agree the outcome

    We take the ten questions leadership asks every week and make sure the data behind them is trustworthy.

  2. 2Weeks 4–10

    Build it on real work

    Those ten questions — and any new phrasing of them — are answerable in seconds, with the chart and the option to save.

  3. 3Go-live and after

    Run, measure, expand

    The assistant is opened to the next team. The data team watches usage instead of writing tickets.

By industry

The problem this solves — in each sector

Same building blocks, different pain. Here is how this solution shows up for the industries we work in.

Is Conversational Analytics (Ask Your Data) your next step?

Bring one real problem to a 45-minute working session. You leave with the building blocks mapped and a first use case scoped.