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KaizoBrain.aiTailored AI for Services, Industry & Robotics

MVP

KaizoBusiness

From a process audit to a working MVP: agents for customer service, documents, tickets and approvals, with a verifier on every output and a person signing off.

Our proposal

What we build first

Incoming customer e-mails and tickets: sorting, drafting the answer and routing the case, the work that fills an office team's day.

At the end of the MVP you have

  • An agent that classifies every incoming e-mail and ticket and drafts the reply
  • Answers built from your own documents, each with its source
  • An approval screen where your team accepts, edits or rejects each draft

How we measure success

At least 30% less handling time per case, with no drop in answer quality as scored by your team.

Implementation

Seven steps from kick-off to a working system

Every step ends with something you can see and check. A person on your side approves the result before we move on.

  1. Customer service agent with earphones greeting a customer on a video call at her laptop
    1Day 1

    Discover & baseline

    We sit with your team, time how cases are handled today and pick the one queue to automate.

    Photo: userpilot1, CC BY 2.0

  2. Row of hard disks in a storage array holding large datasets
    2Days 1–2

    Connect & prepare data

    We connect the mailbox, ticketing system and documents, and strip personal data before any model sees it.

    Photo: twicepix, CC BY-SA 2.0

  3. Rows of network server racks with blue cabling in a data centre
    3Days 2–5

    Build models & agents

    We adapt a private language model to your products, tone and templates, and build the drafting agent.

    Photo: rawpixel, CC0

  4. Two colleagues reviewing work together on a laptop in a bright office
    4Days 5–6

    Add verifiers & approval

    A verifier checks every draft against your rules; a person approves before anything is sent.

    Photo: userpilot1, CC BY 2.0

  5. Team in an open office joining a video conference shown on a projection screen
    5Days 6–7

    Integrate with your tools

    Drafts appear inside Outlook, Teams or your ticketing tool, where your team already works.

    Photo: Open Grid Scheduler / Grid Engine, CC0

  6. Smiling colleagues talking around a meeting table in a bright office
    6Days 8–9

    Pilot on real work

    Your team handles real cases with the agent for two days while we measure time and quality.

    Photo: girlgeekacademy, CC BY 2.0

  7. Rack of NVIDIA Tesla GPU servers with green status lights
    7Day 10

    Accept & hand over

    We compare the results with the baseline, sign acceptance and hand over the system and the model.

    Photo: ChrisDag, CC BY 2.0

  8. The result

    A working MVP on your data

    At least 30% less handling time per case, with no drop in answer quality as scored by your team.

    Price
    PLN 5,000
    Duration
    1–2 weeks

See it on your own data

We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.

Request MVP
KaizoBusiness | KaizoBrain.ai