Agentic AI is the term everyone at work is suddenly using in late 2026. A supplier says their new tool “is agentic”, someone on the team asks whether that is a chatbot in a new jacket, and the owner just wants to know what the thing actually does and what it costs. Here is a plain answer: what agentic AI is, how it differs from generative AI, five real examples you could start with on Monday, what you pay, and how Superkind’s ready-made AI team does this work for you in Outlook, Teams or Slack.
Key takeaways
Agentic AI does the work in your programs - you write a task in Outlook, Microsoft Teams, Slack or the web app, and it plans the steps and acts across DATEV, SAP, HubSpot, Personio and 1,500+ integrations - not just a chat window.
It is not the same as generative AI - generative AI drafts; agentic AI finishes the task. The agent usually runs on a generative model at its core.
Get a ready-made AI team - Superkind comes with Invoice Clerk, Sales Scout and Service Agent. They run automatically on new emails, new leads or a schedule. Start for free with unlimited users, or build your own.
Keep control, keep your data in Europe - hosted in Europe, GDPR compliant, aligned with the EU AI Act, no training on your data. You decide which steps need approval.
Pricing is scope-based, not just per seat - Superkind: free to start, Business from EUR 50/month for the whole company; Microsoft 365 Copilot $30/user/month plus Copilot Studio credits; Salesforce Agentforce $2 per conversation or $125 per employee/month. As of October 2026.
Your AI team for agentic AI in daily work
What is agentic AI?
Agentic AI is software that pursues a goal by planning steps, using your real tools and taking actions across your systems, with a human approving the critical ones. IBM frames it cleanly: while generative AI “creates new content such as text, images, video, audio and software code”, agentic AI “focuses on achieving goals by planning, making decisions” and carrying out multi-step tasks1. McKinsey describes it the same way: systems built on generative foundation models that can act in the real world and execute multi-step processes2. An example of this done the European way is Superkind: an AI team that reads your tasks in Outlook, Teams or Slack and does them in DATEV, SAP, HubSpot and Personio, hosted in Europe.
The one-line test
Ask who does the next step. If the AI hands you text and you move it into a system, that is generative AI. If the AI moves it into the system itself and asks you to approve, that is agentic AI.
Why the word matters now: Gartner expects 33 percent of enterprise software applications to include agentic AI by 2028, up from less than 1 percent in 2024, and at least 15 percent of day-to-day work decisions to be made autonomously by then, up from none4. The shift from “answers” to “actions” is the reason the term is everywhere.
Your AI team for agentic AI in daily work
Superkind is the AI employee your team writes to in Outlook, email, Microsoft Teams, Slack or the Superkind web app, and it does the task in your programs through 1,500+ integrations such as DATEV, SAP Business One, HubSpot, Personio and lexoffice. Hosted in Europe, GDPR compliant, aligned with the EU AI Act, no training on your data. For programs without an API - RA-MICRO, abas ERP, SAP GUI, Lexware Desktop - Superkind works natively in the browser or the desktop client via Computer Use, inside your own infrastructure. These three employees are ready to use right away; adapt them, or build your own.
You do not start from scratch: Superkind comes with ready-made AI employees for the most common routine work. They run on their own in the background, triggered by a new email, a new lead or a schedule, and you decide which steps wait for your approval. Use them right away, adapt them, or build your own.
Invoice Clerk
AI employee for accounts payable
Supplier invoices pile up in a shared inbox, and someone copies them into DATEV one by one. The Invoice Clerk reads every new invoice as it arrives, matches it against the purchase order, picks the accounts and cost centres from your Company Brain and prepares the booking. Anything over your threshold waits for an approval in Outlook; everything else is posted automatically.
+ 1,700 moreSales Scout
AI employee for inbound sales
New leads arrive from the website, LinkedIn and a few partner channels, and most never get a reply the same day. The Sales Scout reads every new lead in HubSpot the moment it lands, enriches it from public sources, scores it against your criteria and either routes it to the right sales rep or sends a polite decline. The first contact email goes out only after the rep has approved it in Teams.
+ 1,700 more
Service Agent
AI employee for customer service
Support requests keep repeating: shipping status, invoice copies, how to reset a password. The Service Agent reads every new ticket, drafts the answer from your knowledge base, pulls the order status from your e-commerce system and sends it after a quick check. For anything new or angry, it writes a note in Slack and asks you to take over.
+ 1,700 more
Every employee is ready to use right away. Or build your own on the platform.
Safe by default
Every task above runs inside Europe, with your rules and your approval where you want them. Supplier data, customer data, support tickets - none of it trains external models.
- Hosted and processed in Europe
- GDPR compliant
- Aligned with the EU AI Act
- No training on your data
- DPA through the Trust Center
Send Superkind your first task
Start for free in Outlook, Teams or Slack. See agentic AI do the work, not just describe it.
From the first task to your own app
With Superkind, agentic AI grows with the team. Four stages, on a familiar example:
- 1
Ready in minutes
Sign up for free, forward the first supplier invoice from Outlook and watch Superkind read it, match it against the open purchase order and prepare the booking. No training, no project.
- 2
Tasks become routines
What you explain once keeps running: “Book every Möller invoice to 3400, show me if the amount is over EUR 10,000.” Routine steps run on their own; sensitive ones wait for your approval.
- 3
Learns from day one
Every task makes Superkind smarter. Your suppliers, accounts, cost centres, customer history and who approves what stay in your Company Brain - and never get lost, even when people leave.
- 4
Your own app, without starting over
When it gets more complex, you build custom solutions, apps with their own interfaces and extra integrations on top of what Superkind already knows - your own Super App. Built yourself or together with us. It all belongs to you.
How agentic AI works
Six parts turn a chat message into finished work. The parts look the same from vendor to vendor; what differs is the channels, the integrations and where the data is processed.
- A channel to write to it - Outlook or any email, Microsoft Teams, Slack, a web app, sometimes WhatsApp. The agent reads what you write like a colleague would.
- A reasoning model - an LLM such as GPT-5, Claude, Gemini or a Mistral model that decides what to do and in which order. Superkind uses OpenAI, Anthropic, Mistral and Google, processed in Europe.
- Tools and integrations - the agent acts in your other systems through APIs. Superkind connects to 1,500+ integrations including DATEV, SAP Business One, HubSpot, Salesforce, Personio, DocuSign, SharePoint and DHL - and runs natively in programs without an API via Computer Use.
- Company knowledge (the Company Brain) - customers, prices, accounts, who approves what. The agent reads from and writes to this store, so it knows the context from the first task.
- Rules and approval - rules like “Quotes over EUR 10,000 need sign-off from management” or “Complaints go to customer service”. Before anything leaves the team, the agent asks for approval on the steps you choose.
- Routines - what you explained once (“Every Monday, send the open-quote report”) keeps running as a routine, with the agent asking you only when something new comes up.
Agentic AI vs. an AI agent vs. an AI employee
“Agentic AI” is the broader property - software that acts, not just answers. An AI agent is one instance of that for a specific job. An AI employee is the same thing framed as a colleague you brief in Outlook, Teams or Slack - which is how most teams actually buy it. For when someone else runs the agent for you end to end, see managed agents.
Agentic AI vs. generative AI, chatbot, RPA
The four terms describe four different things. Gartner notes that most products marketed as agents are not actually agentic, which is why clarity on the table below matters more than the label on the box.
| Aspect | Agentic AI | Generative AI | Chatbot | RPA |
|---|---|---|---|---|
| What it does | Pursues a goal and takes actions | Creates content from a prompt | Answers scripted questions | Repeats fixed, recorded steps |
| Who does the next step | The AI does | You do | You do | The bot does (no judgement) |
| Works in your systems | Yes - 1,500+ integrations plus Computer Use | Only via copy-paste | Usually one channel | Screen-level only, brittle |
| Handles exceptions | Adapts and asks when unsure | Not its job | Fails or escalates | Breaks when the screen changes |
| Approval before it acts | Yes - Approve or Reject on sensitive steps | No action to approve | No action to approve | Runs without review |
| Example | Book a supplier invoice end to end | Draft a reply to a complaint | FAQ pop-up on a website | Copy fields between two apps |
The honest caveat: agentic AI is harder to get right than a chat assistant, because it acts on live systems. Gartner expects more than 40 percent of agentic AI projects to be canceled by the end of 2027, often because teams buy “agents” that are really rebranded chatbots, or aim for full autonomy where a lighter setup with human approval would do5. Starting with one clear task and a human in the loop is how you stay on the right side of that number.
“AI offers enormous opportunities for companies, regardless of size or industry. The greatest danger is simply ignoring AI and missing the train.”
- Dr. Ralf Wintergerst, President of Bitkom11
Examples: five agentic AI use cases, Superkind first
Five concrete places where agentic AI pays back in weeks, not years. The European example comes first.
1. Superkind: book supplier invoices from Outlook to DATEV
Daniel forwards an invoice from Outlook. Superkind reads the PDF, matches the lines against purchase order 44123 in SAP Business One, picks the accounts and cost centres from the Company Brain and prepares the booking in DATEV. Below the EUR 10,000 threshold it posts automatically; above it waits for Daniel’s Approve or Reject in Outlook. See the AI accountant and AI invoice clerk solution pages.
2. Qualify every new inbound lead in HubSpot
A new lead arrives from a form or LinkedIn. An agent reads it in HubSpot, enriches it from public sources, scores it against your criteria and routes it to the right sales rep. The first contact email goes out after the rep’s approval in Teams. For the AI sales rep pattern, see the solution page. Without the agent, most of these leads sit in the CRM until Monday morning.
3. Microsoft Copilot Studio agents inside Microsoft 365
Microsoft 365 Copilot plus Copilot Studio lets you build task-specific agents that work inside Teams and the Microsoft 365 apps - for example, a sales enablement agent that reads product updates from SharePoint and answers reps’ questions in Teams. As of October 2026, Microsoft 365 Copilot is $30 per user per month on an annual commitment; Copilot Studio agents run on metered credits on top6,7. Best fit for teams fully inside the Microsoft stack that want agents close to Office documents.
4. Salesforce Agentforce inside the CRM
Agentforce is Salesforce’s agentic AI layer inside Sales Cloud and Service Cloud. A service agent reads an inbound case, pulls the customer history from Data Cloud and either answers or escalates. Salesforce lists three pricing routes as of October 2026: $2 per conversation (Pre-Purchase), $0.10 per action with Flex Credits, or $125 per employee per month for unlimited internal use8. Only usable where Salesforce is the system of record.
5. Zendesk and Freshworks AI agents for customer service
Both vendors ship agents that read incoming tickets, answer the common ones from a knowledge base and route the rest to a human. Gartner expects agentic AI to resolve 80 percent of common customer service issues autonomously by 2029, which is where these tools point. Scope is one channel: customer service. Stronger when paired with an AI employee that connects the answer back to orders, invoices and shipping.
What agentic AI costs
Prices and licensing models differ a lot. The table below lists what each vendor publishes on its own pricing page. Not a buying recommendation.
| Vendor | Public price | Hosting / Data protection | Users |
|---|---|---|---|
| Superkind | Free start (up to EUR 150 in credits); Business from EUR 50/month | EU, GDPR, DPA, no training | Unlimited (no price per seat) |
| Microsoft 365 Copilot | $30 per user/month annual; Copilot Studio agents in metered credits6,7 | US vendor; EU Data Boundary (check your tenant) | Per user |
| Salesforce Agentforce | $2 per conversation; or $0.10 per action (Flex Credits); or $125 per employee/month8 | US vendor; Hyperforce regions (check with vendor) | Per employee or per use |
| ServiceNow AI Agents | Check with vendor (ties to Now Assist seats) | Check with vendor | Per user |
| Zendesk / Freshworks AI | Check with vendor (per-resolution and per-seat) | Check with vendor | Per agent or per resolution |
What Superkind costs
As of October 2026. Prices excl. VAT, for the whole company with unlimited users.
- Free - EUR 0, a one-off up to EUR 150 in credits to start. No credit card, no sales call, every feature and every connection.
- Business - from EUR 50 per month for 25,000 credits. EUR 100 for 50,000 credits is the popular step, then EUR 200 and EUR 500. No price per seat, unused credits carry over one month, custom apps included, cancel monthly.
- Enterprise - custom price for your volume, dedicated support with SLA, SSO/SCIM and audit log, DPA and help with the security review, payment by invoice.
- What credits buy - a question uses 10-50 credits, a task 50-500 credits and a run of your own agent 1,000-5,000 credits. EUR 100 covers up to 1,000 tasks or 5,000 questions.
Data protection and EU hosting
Agentic AI that books invoices, qualifies leads or answers customer requests touches personal data under the GDPR (Art. 6 and 28) and, for its own usage, falls under Art. 4 of the EU AI Act on AI literacy9. With Superkind, this data stays in Europe from the first task. Not legal advice.
How to start with agentic AI
You do not need a strategy deck or an in-house AI team. Start with one task and let it prove itself.
Your first week with agentic AI
- Pick one repetitive task that crosses two systems (invoice booking, lead qualification, standard support requests)
- Sign up for free at app.superkind.ai with a one-off up to EUR 150 in credits
- Write the task to Superkind in Outlook, Teams or Slack, in plain language
- Review the first result and click Approve - the first time, check everything
- Once it runs reliably, turn it into a routine and add the next task
- Keep generative AI for drafting and research - the two work side by side
Conclusion
Agentic AI is not a chatbot with a bigger budget or RPA in a nicer skin. It is software that pursues a goal - plans the steps, acts in your real programs, asks for approval - and runs as a routine the next time around. The useful next step is a real task. Pick the one that annoys your team on a Monday (that invoice sitting in the inbox, that lead going cold), start Superkind for free at app.superkind.ai and hand it over. If it saves one hour this week, you have your first use case - with 1,500+ integrations and your data processed in Europe.
Frequently Asked Questions
Agentic AI is software that pursues a goal across your systems, not just a chat window. You write it a task in Outlook, Microsoft Teams, Slack or a web app, and it plans the steps, uses your real programs - DATEV, SAP, HubSpot, Personio - and asks for approval before anything leaves the team. In short: it does the work, not the chat.
Generative AI creates content from a prompt: a draft email, a summary, an image. You ask, it answers, and the next step is still on you. Agentic AI takes a goal and works through it: it reads the invoice, pulls the order from SAP, prepares the booking in DATEV and asks you to approve. Agentic AI usually runs on a generative model at its core, so it is less a rival than the layer on top. For more detail, see our deeper comparison in agentic vs. generative AI.
Well-built agentic AI keeps a human in the loop on the steps that matter. Superkind asks you to Approve or Reject before it sends, books or changes anything that leaves your team, follows the rules you set (quotes over EUR 10,000 need sign-off, complaints go to customer service) and logs every action. Routine steps run on their own; sensitive ones wait for your OK. You decide which is which.
Through 1,500+ integrations such as DATEV, SAP Business One, HubSpot, Salesforce, Personio, lexoffice, Microsoft Teams, Slack, Outlook and Google Sheets. Superkind reads what you write, picks the right integration, does the work with your company knowledge and rules, and shows you the result before anything goes out. For programs without an API, it also works natively in the browser or the desktop client via computer use, like a colleague. AI models (OpenAI, Anthropic, Mistral, Google) are processed in Europe.
It depends on the vendor. Superkind is hosted and processed in Europe, GDPR compliant, aligned with the EU AI Act (Regulation (EU) 2024/1689, fully applicable on 2 August 2026) and never trains models on your data; a DPA is available through the Trust Center. Under Art. 4 of the EU AI Act you also have to support AI literacy for the people who use it, and most agents for routine process automation fall into the lower-risk categories. Not legal advice.
Prices vary by model. As of October 2026, Superkind is free to start with a one-off up to EUR 150 in credits, no credit card, and Business is from EUR 50 per month for the whole company with unlimited users - never a price per seat. Microsoft 365 Copilot is listed at $30 per user per month plus Copilot Studio credits for custom agents on top. Salesforce Agentforce lists at $2 per conversation, $0.10 per action with Flex Credits, or $125 per employee per month for unlimited use. Prices excl. VAT.
Pick one repetitive task that crosses two systems - booking a supplier invoice, answering a standard request, qualifying a new lead - and sign up for free at app.superkind.ai with a one-off up to EUR 150 in credits. Write the task to Superkind in Outlook, Teams or Slack like a colleague, review the first result and approve. Once it runs reliably, turn it into a routine. That is your first agentic AI use case, in a week, with no consultants.
Sources
- IBM Think - Agentic AI vs Generative AI: What Is the Difference?
- McKinsey - What Is Agentic AI? (Explainer)
- McKinsey - The State of AI 2025: Agents, Innovation, and Transformation
- Gartner - Predicts 33% of Enterprise Apps Will Include Agentic AI by 2028
- Gartner - Over 40% of Agentic AI Projects Will Be Canceled by End of 2027
- Microsoft - Copilot Plans and Pricing for Enterprise
- Microsoft Learn - Copilot Studio Licensing and Metered Capacity
- Salesforce - Agentforce Pricing (Pre-Purchase, Flex Credits, Employee)
- EUR-Lex - Regulation (EU) 2024/1689 (EU AI Act), Art. 4 and Art. 6
- EU AI Act - Implementation Timeline
- Bitkom - Durchbruch bei Künstlicher Intelligenz (Dr. Ralf Wintergerst)
Send Superkind your first task.
Start for free in Outlook, Teams or Slack, hosted in Europe. Or see in 30 minutes how agentic AI runs in your systems.