COPR AB

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[Client]

× COPR

Project wrap-up for the POC of [Name A], [Name B], [Name C], or something else
30 October 2026

Today’s two hours

Less than half of today is slides. The rest is for trying it and talking.

The people behind it

Built together, from the kickoff to today.

Round the table: your name, your role, and your experience with AI so far, the good and the bad.

Where we started

At the kickoff we picked three areas.

Done
Version 1

Product information

Details for every product in the range

4toolsXXquestions
Done
Version 1

Sales statistics

Customers, products, quarterly trends

6toolsYYquestions
Done
Version 1

Terms & conditions

Return policies in customer agreements

2toolsZZquestions

What matters most

At the kickoff, we agreed on two must-haves.

Easy, on a phone

Quick and correct

You’re the judges. Test both in the demo, and think about what it would take for you to rely on it every day.

Meet the assistant

The same question, asked two ways at the same moment.

Pick a question

Meanwhile, by email

To
Product support, [Client] office
  • Nothing sent yet.

The office answers one email at a time. We’ll leave them running in the background and see when the replies come in.

AI assistant

Ask about products, sales or terms.

An illustration, not the live tool

The 7-second answer

A customer asks something you can’t answer from memory. Here’s how long it takes to find out.

Today

Email someone at the office, then wait until they have time to look it up and reply.

0:005 to 30 min

With the assistant

Ask on your phone and read the answer, with the customer still there.

Answered
~7 sper question

That’s 40 to 250 times faster, and the conversation never has to stop.

Now multiply it

Every employee can ask at the same time, and every answer still arrives in seconds.

1Conversations on screen
0Answers delivered
0Waiting in an inbox

Illustration. Each card is one employee asking a question.

How it works

Follow one question from the phone to [Client]’s data, and back.

  1. YouPhone or laptop
  2. Sign-inMicrosoft Entra ID
  3. Chat appAzure Web App
  4. AI modelAzure AI Foundry
  5. ToolsAzure Functions
  6. DataAzure Blob Storage

Overview

Why tools matter

We don’t let the AI search around on its own. We give it exact tools, and it answers only from what they return.

Letting it look around

“[Product] is made in [country A] and weighs [weight A].”Sounds certain, but it’s wrong

  • Reads document after document
  • Gets slower as the data grows
  • Can hallucinate: confident, but wrong
  • Hard to check where it came from

Giving it tools

“[Product] is made in [country B] and weighs [weight B].”Source Product information 1A

  • One exact lookup
  • Seconds, however much data there is
  • Same question, same answer
  • Every answer shows its source

That’s what grounding means: the AI only puts into words the facts a tool hands it.

Enough slides.

Let’s try the real thing

Open the assistant

After the break, it’s your turn.

What it can answer

XX questions out of the box. Outside them, it says so instead of guessing.

And it holds a conversation

Follow-ups build on earlier answers and combine tools.

Example conversation, with the figures hidden.

What it costs

Three parts make up the monthly cost.

    Over a year

    The same three layers, month after month.

    2,820SEK a year

    for 20 employees, 5 questions a day

    • 235SEK a month
    • 8SEK a day
    • 11.8SEK per user a month

    The AI model is 22% of the bill, and the only part that grows with more users.

    Getting the data ready

    Before anyone asks, the data is collected, cleaned and combined.

    Overview

    Security

    Four layers around [Client]’s data.

    Internal toolMicrosoft sign-inInside EuropeRole-based access[Client]data

      Why we’re doing this

      Already first in quality.Now first with the answer.

      A customer asks two employees the same thing: “What does our agreement say about returning products that don’t sell?”

      Another company’s employee

      “Good question. Let me check with the office and get back to you.”

      Answer later today, or tomorrow

      [Client]’s employee

      “[The answer, straight from the agreement]. Want me to check how [a product group] sold last quarter?”

      Answer in about 7 seconds

      “[Client] answered on the spot. Why do I always have to wait for the others?”

      Same on the phone: no more “I’ll call you back.”

      For the customer

      An answer on the spot, in person or on the phone.

      For [Client]’s own team

      Fewer lookup emails to the office, and more time for the work that matters.

      What comes next

      A first draft of the road ahead, to shape together.

      Built with employees, not for them

      The fastest way to a great tool is real use and quick improvements.

      1Employees use itEvery day, in real situations2They tell usWhat’s wrong or missing3We improve itTools, answers, experience4New releaseBack in their handsShort loopsbuilt on real feedback

      What we improve, release by release

      • More tools

      • The experience

      • Tone and style

      Three quick wins

      Small changes that make a big difference once more people use it.

      Feedback on every answer

      Workshops and guides

      Personal to each employee

      Giving it a name

      Three candidates from the kickoff, and room for new ideas.

      [Name A]

      [Why this name fits]

      [Name B]

      [Why this name fits]

      [Name C]

      [Why this name fits]

      Room for a suggestion.

      Thank you! That’s the presentation.

      Time for a short break

      Back at --:--

      Next up: the demo, and a look behind the curtain.

      That’s all

      Thank you!

      This was an example presentation.