EMBEDDED AI ASSISTANCE

AI that works inside the workflows you already use.

qb-Agentic understands requests, reconstructs context and turns fragmented information into grounded recommendations, drafts and guided actions — with human control where it matters.

  • Data with context
  • Verifiable sources
  • Human control
  • Traceable actions
From context to action with qb-AgenticA request enters qb-Agentic, is converted into structured information, checked against authorised evidence, enriched with a visible missing-data warning and transformed into a recommendation that requires human approval before the action is recorded.INCOMING REQUESTGroup request — 48 guestsexampleSTRUCTURED EXTRACTIONDatePeopleServiceConstraints! Arrival time to confirmEVIDENCE AND CONTEXTVerified sourceInternal policyHistory availableRECOMMENDATIONPrepare a clarification requestHUMAN APPROVALApproveEditAction recordedNo sensitive action without approval.
THE PROBLEM

The information exists. The operational context often does not.

Requests, documents and decisions move across email, chat, business systems and shared files. Teams manually reconstruct what happened, look for missing data and repeat tasks that slow the work down.

Fragmented information

Data and conversations are spread across different channels and applications.

Context to rebuild

Experienced people spend time connecting requests, rules, documents and precedents.

Decisions hard to verify

Sources, assumptions and intermediate steps are not always kept visible.

Slow, repetitive follow-ups

Drafts, clarification requests and updates are prepared manually.

THE OUTCOME

From information noise to a clear, verifiable and controlled action.

  1. Understands

    Extracts people, dates, requests, constraints and relevant information.

  2. Contextualises

    Connects the request to available data, documents, rules and history.

  3. Recommends

    Proposes the next step and shows the evidence that supports it.

  4. Acts with control

    Prepares drafts and guided actions, requesting approval where needed.

HOW IT WORKS

An agentic loop designed for real work.

qb-Agentic embeds AI assistance into existing processes without hiding uncertainty, sources or responsibility.

  1. Receives the signal

    A request arrives from email, chat, document, form or application.

  2. Extracts the context

    The AI identifies data, intent, constraints and missing information.

  3. Verifies the evidence

    Information is connected to available sources and to the rules of the process.

  4. Proposes the action

    The team receives a recommendation, a draft or a guided task.

  5. Keeps control

    Sensitive actions require approval and every step stays traceable.

CAPABILITIES

Concrete AI assistance, from the first message to the decision.

Multichannel understanding

Interprets content from email, conversations, forms and documents.

Structured extraction

Turns unstructured information into usable fields, events, requests and constraints.

Contextual retrieval

Retrieves relevant information from authorised sources and knowledge bases.

Gap detection

Highlights missing data, inconsistencies and points that need clarification.

Grounded recommendations

Proposes actions while showing the available context and evidence.

Drafts and follow-ups

Prepares replies, information requests and operational documents to review.

Human-in-the-loop

Inserts human approvals and responsibility into critical steps.

Traceability

Keeps sources, changes, decisions and process status visible.

EMBEDDED IN YOUR WORKFLOWS

Augments existing tools. It does not force teams to start over.

qb-Agentic can operate as a dedicated workspace, an embedded assistant or an orchestration layer connected to the systems authorised by the company.

  • Email and messaging
  • Documents and knowledge base
  • CRM and service systems
  • PMS and vertical applications
  • ERP and operational data
  • Workflow and ticketing
USE CASES

A horizontal product, configured on the operational context.

Live application

Hospitality — qb-Hotel

From group and event requests to data collection, recommendation and the preparation of proposals and follow-ups.

Explore qb-Hotel

Industry and logistics

Support for operational requests, procedures, anomalies, cross-team coordination and process information management.

Retail and distributed services

Assistance for teams and operational sites with contextual answers, guided procedures and traceable follow-ups.

Banking and insurance

Support for information gathering, document verification and the preparation of activities subject to review.

RELIABLE AI

The AI proposes. Rules and people keep control.

  • Sources and context visible
  • Gaps and uncertainty declared
  • Permissions aligned with connected systems
  • Configurable approvals
  • Action history
  • Deployment defined per project
VERTICAL APPLICATION

qb-Hotel brings qb-Agentic into the commercial and operational workflows of hospitality.

It understands complex requests, gathers the relevant data, highlights what is missing and assists the team in preparing recommendations, proposals and follow-ups.

Bring AI assistance into your teams’ daily work.

We start from a concrete process, find where time is lost and design the fastest path to a measurable result.

Frequently asked questions

Does qb-Agentic replace the systems we use?

No. It is designed to work with the workflows and systems authorised by the company, adding understanding, context and guided actions.

Does qb-Agentic make decisions autonomously?

The level of automation depends on the process. Sensitive actions can require human approval and must remain traceable.

What is the difference between qb-Agentic and qb-Hotel?

qb-Agentic is the horizontal AI assistance product. qb-Hotel is its application for hospitality processes.

From which channels can it receive information?

It can be configured to work with email, documents, conversations, forms and applications authorised in the project.

How does a project start?

It starts from a priority operational process, the available sources and the required control points.