Question 1

What is an AI Employee?

Accepted Answer

An AI Employee is a trained AI agent that takes ownership of a specific scope of work. Unlike chatbots that give suggestions, an AI Employee actually executes actions: logging into tools, processing data, making decisions within defined rules, and delivering completed work. Think of it as a remote employee with a clear job description—not a tool you have to manage.

Question 2

What kinds of work can AI Employees handle?

Accepted Answer

AI Employees excel at repetitive operational work: invoice processing and data entry, CRM cleanup and data enrichment, report compilation from multiple sources, order and inventory syncing, compliance evidence collection, email processing and routing, and similar work. If it's work you'd delegate to an operations hire, an AI Employee can likely do it.

Question 3

What if the AI Employee makes mistakes?

Accepted Answer

AI Employees start supervised. In the first week or two, you review their outputs and provide feedback. They learn from corrections and improve over time. You set the approval thresholds—some actions might require human review before execution, while others can run autonomously once trust is established.

Question 4

Can AI Employees handle complex decisions or just simple work?

Accepted Answer

AI Employees handle both. For routine work, they execute with high accuracy. For complex decisions, they can either escalate to you with a recommendation, or apply judgment based on guidelines you've provided. You define the boundaries during onboarding.

Question 5

How do AI Employees learn my specific processes?

Accepted Answer

During onboarding, you explain your workflow in a natural conversation—just like training a new employee. We capture your requirements, edge cases, and preferences. The AI Employee learns from this context plus any feedback you provide during the supervised period.

Question 6

What happens when something goes wrong?

Accepted Answer

AI Employees are designed to recognize uncertainty and escalate appropriately. When they encounter an edge case they can't handle confidently, they pause and alert you with full context about what happened. You decide how to proceed, and they learn from your decision.

Question 7

How is this different from automation tools like Zapier or Make?

Accepted Answer

Traditional automation tools require you to build workflows step-by-step, connecting triggers and actions. They break when edge cases appear, APIs change, or form fields update—and you have to fix them. With Dilipod, you don't configure anything—you explain the work like you would to a new hire. AI Employees understand context, handle exceptions, and adapt without needing pre-defined rules for every scenario.

Question 8

How does this compare to hiring someone?

Accepted Answer

Hiring takes 4-8 weeks and costs €40-60K/year including benefits and overhead. You need to manage them, handle sick days, and risk turnover. AI Employees are productive in 24-48 hours, cost €420-4,788/year (flat monthly plans from €35-399 with unlimited processes), require zero management from you, and scale instantly. Both can handle edge cases—but only AI Employees work from day one.

Question 9

What about virtual assistants (VAs)?

Accepted Answer

VAs cost €18-30K/year, take weeks to train, require constant supervision, and don't scale. They can handle edge cases, but you're managing a person. Dilipod costs €420-4,788/year (flat monthly plans with unlimited processes), is productive in 24-48 hours, requires no management, and scales on demand. You review outputs, not work hours.

Question 10

Why not just build automation internally?

Accepted Answer

Building automation internally means high upfront costs (engineers, consultants, tools), ongoing maintenance, and constant breakage when APIs change or vendors update their UI. The 20% of edge cases that don't fit the rules still land on someone's desk. With Dilipod, we handle all the technical work—you just explain what needs to be done.

Question 11

How much management effort does this require from me?

Accepted Answer

Virtually none. Unlike hiring (where you manage performance, training, and HR) or automation (where you maintain and fix broken workflows), AI Employees are fully managed by us. You review outputs and handle escalations—that's it. We handle setup, monitoring, and improvements.

Question 12

What happens if my needs grow?

Accepted Answer

AI Employees scale instantly. Need more capacity? Add another AI Employee without a hiring cycle. Need less? Scale down after your commitment period. Unlike employees who take months to hire or automation that requires rebuilding, capacity adjusts to your actual needs.

Question 13

How do I get started?

Accepted Answer

Join the waitlist at dilipod.com/demo. We'll get back to you within 48 hours to schedule a 30-minute onboarding call. During the call, you explain your workflow like you would to a new hire—what triggers the work, what the steps are, what edge cases exist, and what a successful output looks like. Within 24-48 hours after the call, your AI Employee is ready.

Question 14

What happens during the onboarding call?

Accepted Answer

You walk us through the workflow from start to finish. We ask clarifying questions: Where does the data come from? What format is it in? What happens when something doesn't match? What does 'done' look like? If possible, you share your screen and show us the actual workflow. We capture everything and handle the technical implementation.

Question 15

What is the benchmark test?

Accepted Answer

Before you commit, we run your AI Employee against 2-3 real scenarios from your past work, along with what the correct output should be. We show you the results. You only proceed if it meets your accuracy requirements. This proves the AI Employee can do the job before you pay.

Question 16

What happens after the AI Employee is deployed?

Accepted Answer

Week 1-2: We monitor 100% of executions, make rapid adjustments based on your feedback. Week 3-4: Stabilization, edge case handling refined. Month 2 onwards: Steady-state operation where you only handle escalations. You receive weekly reports showing work completed, success rates, and time saved.

Question 17

How do I give feedback?

Accepted Answer

When you review AI Employee outputs, you can approve, correct, or provide additional guidance. Corrections are incorporated automatically—the AI Employee learns from your feedback and improves over time. For bigger changes, we schedule a quick refinement session.

Question 18

Can I add more workflows later?

Accepted Answer

Yes. Once you see results with the first workflow, you can add more through additional onboarding calls. Each new workflow is faster to set up because we already understand your organization, tools, and preferences.

Question 19

How much does Dilipod cost?

Accepted Answer

Dilipod offers a Free tier (€0/month, 5 executions included, pay-as-you-go at €0.06/execution) so you can try it risk-free. Paid plans start at Starter (€35/month, 2,500 executions), Growth (€99/month, 10,000 executions), and Scale (€399/month, 30,000 executions). All plans include unlimited processes and all integrations. 10% discount on annual billing.

Question 20

What's included in the monthly price?

Accepted Answer

Each plan includes a set number of executions, unlimited AI Employees, all integrations, human-in-the-loop capabilities, analytics, and support. Onboarding, deployment, and continuous execution are included. Overage charges apply only if you exceed your included executions.

Question 21

Is there a minimum commitment?

Accepted Answer

We ask for a minimum 3-month commitment. This gives enough time to properly onboard, refine the AI Employee based on your feedback, and see real ROI. After 3 months, you can continue month-to-month or cancel anytime.

Question 22

What if I need more executions?

Accepted Answer

Overage charges apply at your plan's rate: Free €0.06/execution, Starter €0.035/execution, Growth €0.025/execution, Scale €0.018/execution. If you consistently need more executions, upgrading to the next plan is usually more cost-effective. Enterprise pricing is available for custom volumes.

Question 23

Do you offer a trial or pilot period?

Accepted Answer

Yes! Our Free tier lets you run 5 executions per month at no cost, so you can see how AI Employees work on your real tasks. Beyond that, we also run benchmarks before you commit to a paid plan—we test your AI Employee against 2-3 real scenarios from your work, and you only proceed if it meets your accuracy requirements.

Question 24

What about security and data privacy?

Accepted Answer

Security is foundational, not an afterthought. AI Employees only access systems you explicitly authorize. All credentials are stored with enterprise-grade encryption. We maintain complete audit logs of every action. You can revoke access instantly at any time.

Question 25

Where is my data stored?

Accepted Answer

Your data is processed in EU data centers by default. We don't store your business data long-term—it's processed and passed through. Any logs retained for operational purposes are encrypted and automatically deleted after 30 days.

Question 26

Can I audit what the AI Employee does?

Accepted Answer

Yes. Every action taken by your AI Employee is logged with timestamps, inputs, and outputs. You get access to a real-time activity dashboard and can export detailed audit logs anytime. Full history is available for review and exportable for compliance.

Question 27

How do you handle credentials and API keys?

Accepted Answer

Credentials are stored in encrypted vaults with access controls. We use OAuth where available, so we never see your passwords. For API keys, they're encrypted at rest and in transit, and AI Employees only have access to credentials needed for their specific role.

Question 28

What controls do I have over AI Employee actions?

Accepted Answer

You define what requires human approval during onboarding. You can start with view-only access and expand to execution after confidence builds. Irreversible actions require approval by default. You set thresholds for autonomous action vs. escalation.

Question 29

What tools can AI Employees work with?

Accepted Answer

Any web-based software. If it has an API, we use it for speed and reliability. If not, AI Employees can navigate the web interface just like a human would. Common integrations include Google Workspace, Microsoft 365, Salesforce, HubSpot, Xero, QuickBooks, and hundreds more.

Question 30

Do I need to give you admin access to my systems?

Accepted Answer

No. AI Employees work with the minimum permissions needed for their role. For most work, a regular user account with access to relevant tools is sufficient. You control exactly what systems and data the AI Employee can access.

Question 31

How do AI Employees handle files and documents?

Accepted Answer

AI Employees can read, process, and create documents. They handle PDFs, spreadsheets, emails, images with text, and most common formats. They can extract data from unstructured documents, fill in forms, and generate reports.

Question 32

What happens if an integration breaks?

Accepted Answer

We monitor integrations continuously. If something breaks (e.g., a tool's UI changes or an API updates), we're usually aware quickly and fix it proactively. For unexpected issues, the AI Employee pauses affected work and alerts you while we resolve it.

Question 33

Can AI Employees work with internal or custom software?

Accepted Answer

Yes. If it's web-based, AI Employees can typically work with it. For custom internal tools, we may need a short additional setup period to understand your specific interface. Business tier includes dedicated integration support.

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