Company Cockpit with AI Agents: The 2026 Guide

In short: A company cockpit with AI agents is one central interface that maps your company's structure – departments, positions, tasks. AI agents take over recurring work in it: inquiries, quotes, receipts, appointments. Your team sees everything in one place, steers the agents and approves what goes out. Instead of ten separate AI tools you get one system with clear responsibilities.

Most SMEs have tried AI by now: a ChatGPT account here, a transcription tool there, maybe a chatbot on the website. According to the KfW SME Panel, 20% of German SMEs use at least one AI technology (usage 2022–2024) – but only 5% use it for automation and decision-making. The rest stays with texts and summaries. The reason is rarely technical: nobody knows which agent does what, who checks it and how it works with the others. That is what the company cockpit is for.

What is a company cockpit with AI agents?

A classic management cockpit shows KPIs. A company cockpit with AI agents goes one step further: it doesn't just show what happens – this is where the work happens. It has three building blocks:

• Your org chart as the backbone: every department and position is mapped. For every task it is defined whether AI does it fully, AI prepares and a human decides – or it stays with a human.
• AI agents that take over tasks: one agent answers calls, one sorts the inbox, one drafts quotes, one captures receipts. Each has a clear task, access only to the systems it needs, and rules for handing over to a person.
• Steering and approval by your team: your people see what the agents did, review drafts and approve. Exceptions go to the responsible person – not into a void.

All channels come together in the cockpit: phone, e-mail, inbox, forms. Phone is just one channel – the cockpit is not a phone bot but the control centre for all recurring work.

Cockpit vs. a collection of tools

Criterion	Separate AI tools	Company cockpit with AI agents
Starting point	A tool looking for a problem	Your org chart: who takes over which task?
Responsibility	Everyone uses what they know	Every agent has a position and a responsible person
Control	Results scattered across chats and inboxes	All drafts and approvals in one place
Data flow	Copy & paste between programs	Agents access connected systems (e-mail, CRM, ERP, telephony)
Operation	Licences run, nobody maintains	Operation, monitoring and maintenance are covered
Growth	Every new tool adds chaos	New agents dock into the same cockpit

How an agent differs from a chatbot: Agentic AI vs. chatbots.

Which tasks do AI agents take over in the cockpit?

What matters is not the department but the individual task. Rule of thumb: what happens regularly, follows patterns and can be answered with existing information can be done by an agent.

Status	Typical positions	Example agent tasks
Fully AI	Reception/phone, back office, sales support, knowledge management	Answer calls, capture requests, book appointments, give status updates, research leads, answer questions from manuals
AI + human	Sales, accounting, purchasing, customer service, marketing, HR, quality	Prepare quotes, capture receipts, send price requests, draft replies – a human reviews and decides
Human	Management, production, negotiations	Agents supply summaries and reports; the decision stays human

More by position: AI employees: which positions AI can take over and interactively at AI agents in the company cockpit. How to go through your own org chart role by role: Org chart with AI agents.

Three portals: customers, new customers, team

• Customer portal: customers see the status of their cases, upload documents and send requests – without calling.
• Onboarding portal: new customers register themselves; an onboarding agent checks their details for completeness.
• Team portal: every role sees its tasks and approves agent drafts.

All three run in your corporate design and are linked live to the cockpit. More: Customer portal, onboarding portal, team portal.

Who stays in control?

Your team. That is the core of the concept. In a YouGov survey for bevh and Alibaba.com (September 2026), decision-makers named lack of trust in the technology (32%) and unclear economic benefit (31%) as the biggest barriers to AI agents. A better model solves neither – only transparency does: in the cockpit, every task shows what the agent did, what it suggests and who approved it.

How approval levels, spot checks and escalations work in practice: Steering and approving AI agents. Agents that talk or write to customers are also subject to the EU AI Act transparency rules since 2 August 2026 – overview: EU AI Act 2026.

How your cockpit is created

1. Callback within 24 hours: a short call to understand your company and goals.
2. Preparation based on your website: before the first meeting we prepare your org chart with AI agents and a clickable prototype of your cockpit with the three portals in your corporate design.
3. Meeting with Andreas Indorf: role by role, task by task, you decide directly in the org chart: fully AI, AI + human or human.
4. Follow-up meeting: the adapted version and a package proposal. Everything up to here is free and non-binding.
5. After the start: task analysis (2 weeks); the first agents usually go live about 4 weeks later. Your team is enabled in parallel.

What does a company cockpit with AI agents cost?

At mysoftwarelab there are three stages at a fixed monthly price – including build, hosting, operation, monitoring and maintenance (net, 12-month minimum term):

Package	Scope	Monthly	Setup
KI Starter	Agents for one position	€2,990	€5,990
KI Partner	Agents for one department (2–3 positions)	€4,990	€11,990
KI Transformation	The whole AI department	€9,900	€22,500

Platform and token costs are included up to an operations flat fee. The task analysis costs €4,980 on its own and is free when a package is booked by 31 Dec 2026. Details: packages & pricing.

Who is it for?

• Companies with 5 or more employees, core group 10–250, whose team is drowning in day-to-day work.
• Companies with vacancies in back office or administration – see Filling vacancies with AI.
• Managing directors who handle inquiries, quotes and callbacks themselves on the side.
• Companies already using several AI tools that want order in responsibilities and control.

Less suitable for companies under 5 employees and for anyone looking for a single tool rather than a system.

In practice: mysoftwarelab's own cockpit

mysoftwarelab runs as a model company: around 80% of our own work is done by AI agents steered from our own cockpit. Back office, marketing and support run fully on agents. Sales is staffed by people – setters and closers – supported by agents for lead research, prototype creation and ROI calculation. Development, project management and coaching are staffed by people.

FAQ: company cockpit with AI agents

What is a company cockpit with AI agents?

A central interface mapping your company's structure. AI agents take over recurring tasks in it; your team steers them and approves.

Does the cockpit replace my employees?

Agents take over tasks, not people – usually vacant roles, work the boss does on the side, or growth without extra back-office staff.

Do I need my own IT or AI specialists?

No. Build, hosting, operation and maintenance are handled by mysoftwarelab as an external AI department. Your team learns to steer the agents.

How fast do the first agents work?

The task analysis takes about two weeks; the first agents usually go live about four weeks later.

What does it cost?

From €2,990 per month for one position, €4,990 for a department and €9,900 for the whole AI department, plus setup and VAT, 12-month minimum term.

Conclusion: decide instead of work

There are plenty of AI tools. What SMEs lack is a system in which it is clear which agent does which task and who is in control. The company cockpit provides exactly that: the agents work, your team decides.

Sources

• KfW Research, Fokus Volkswirtschaft No. 554: AI in SMEs (July 2026)
• Lebensmittel Praxis: only one in four SMEs uses AI agents (YouGov for bevh and Alibaba.com, September 2026)