AI agents for the office · B2B System You set the goal. AI assistants prepare everything for your approval.

An AI lead breaks your goal down into tasks and hands them to AI assistants for finance, operations, sales and HR. They check your data, write results into the tasks and report every morning what needs attention. Every action waits for your approval.

One concrete process is enough to get started.

WHAT IS WHAT?

AI Office and B2B System.

The AI Office always runs inside the B2B System. You can use the B2B System without the AI Office.

RELATED

B2B System

The work platform for projects, tasks, documents, financial workflows and approvals. It also works entirely without AI.

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YOU ARE HERE

AI Office

AI assistants inside the B2B System: they prepare tasks, turn enquiries into draft quotes and report what needs attention. A person approves every action.

AI OFFICE ON VIDEO

You set the goal.
AI assistants prepare tasks, you approve them.

Two workflows, one minute each: a goal for the whole team and a customer enquiry that becomes a quote.

A Monday morning with too much work and too few people – and how the AI office sorts it out. Illustration of the workflow with demo data. AI-generated voice.
THE REAL INTERFACE

How the
AI office works.

Demo with the fictional company “Muster Logistik GmbH”: all names, amounts and dates are sample data. The interface is real. The AI produced the analyses, minutes, search and report in the demo itself; the approval examples were prepared. The voice is AI-generated. German interface with English subtitles.

The views one by one

B2B System · Muster Logistik GmbH (demo)
AI team: goal → tasks

016 steps · result per AI assistant

Demo with the fictional company “Muster Logistik GmbH” (German interface). All names, amounts and dates are sample data.

WHAT IT DOES

Six things
that run today.

01

Goal → tasks

The AI lead breaks a goal down into two to six tasks. Each AI assistant checks its area and writes the result straight into the task.

02

Approval by people

New task, status change, CRM entry or call: every action waits for your approval. Every step is logged.

03

Meeting → tasks

Notes or a transcript become decisions, open questions and tasks with owners and deadlines.

04

Company knowledge

Wiki, records, attachments and rules, each with source, date, version and approval status. The AI only uses approved content and flags contradictions.

05

Morning report

Every morning: what needs attention and who does what by when. Repeats are merged.

06

Quote from an enquiry

A customer enquiry by voice or text becomes a quote with items and prices from your catalogue. Missing prices are flagged.

IN USE

Daily at
a crane rental company.

At a crane rental company the morning report arrives every day. For one construction project, a single run found four tower cranes due for erection with conflicting dates, three contracts without a next step and mismatched customer names in the invoice register. A person made each decision.

WHAT IT DOES NOT DO

Clear limits.

01

No e-mails

The AI office does not send e-mails and does not trigger payments.

02

No decisions on its own

It prepares and proposes. Anything external is approved by a person.

03

Costs under control

AI costs are visible per feature, with a monthly budget and a hard stop.

GETTING STARTED

In four steps.

01

Connect data

Tasks, customers, orders and invoices via Excel import or an interface.

02

Define roles

Which AI assistants exist, what they may read and which actions they propose.

03

Set approvals

Who approves, what may run automatically and what never does.

04

Start with one goal

One real goal per week. Then you decide based on the results.

PROJECT CONCEPTS

Workflows you can tackle with this.

Examples with workflow, deliverable and pilot scope. They are concepts for a first pilot, not completed client projects.

THE NEXT STEP

What should work better in your business?

Tell us about a process that takes up your team’s time. We discuss where automation could help and what is needed to define the next step.

Which goal would you give the AI office first?

HEINRICH SCHNEIDER / DDC

heinrich@ddc.company

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