AI Employees. Human Results.
Dilipod works like hiring an employee. You define the role and outcomes — we deploy an AI Employee that delivers on them.
Benchmarked on your real work: we validate the role on 2–3 scenarios before you commit.
See example roles — or start free with 5 executions/month. No credit card required.
The Problem
The Repetitive Work That Eats Your Time
These problems compound—wasting resources, creating bottlenecks, and holding your team back from what matters most.
Time drain
Your best people are stuck on work that doesn't need them.
Error-prone
Manual work means mistakes, delays, and inconsistent results.
Hidden cost
The real cost isn't just time — it's missed opportunities.
So far, you had two options:
Hire more people
- High total cost
€40-60K/year salary + benefits, equipment, office space, HR overhead
- Slow to get started
4-8 weeks to source, interview, hire, and onboard before any output
- Ongoing management burden
Performance reviews, training, sick days, turnover—someone has to manage it all
- Often underutilized
Not enough consistent work to justify full-time, but too much to ignore
- Doesn't scale
Need more capacity? Start the whole hiring cycle again
Build automation
- High upfront cost
Engineers, consultants, tools—setting up automation is a project with its own budget
- Ongoing costs add up
Running costs, maintenance, updates—on top of what you spent to set it up
- It's never "done"
APIs change, form fields update, vendors evolve—your automation breaks and needs fixing
- Edge cases slip through
The 20% of cases that don't fit the rules still land on someone's desk
- You become the bottleneck
Someone has to document every step, every edge case, every "what if"—that's you
The Solution
An AI Employee with a job description—not a tool you have to manage.
We define the role with you, benchmark success on real scenarios, and hire an AI Employee accountable to outcomes—not prompts.
High cost of hiring
Weeks to get started
Management overhead
Can't scale quickly
How It Works
It works like onboarding
an employee
Define the role
Join the waitlist, then we schedule a 30-minute onboarding call. Define the job description, boundaries, and expected results.
Benchmark
2–3 scenarios with expected outputs we must meet before you commit.
Deploy & run
We handle setup, refine based on your feedback, then run for minimum 3 months.
Common Starting Points
Roles teams are already using
Invoice Reconciliation
2–3 hours/week → 15 min review. Match invoices, flag exceptions, update after approval.
Order Data Entry
Extract from emails, validate against catalog, enter into ERP. You review exceptions only.
CRM Hygiene
Duplicate candidates surfaced, formatting standardized, incomplete records flagged.
Weekly Reports
Data pulled from multiple sources, formatted into your template, delivered on schedule.
E-commerce Reconciliation
Orders, returns, and fees matched. Discrepancies flagged for your review.
Compare
Why Dilipod?
See how alternatives compare to Dilipod for repetitive work.
| Hiring | Build automation | VAs | ||
|---|---|---|---|---|
| Time to deploy | 24 hours | 4-8 weeks20-56x slower | Days to weeks7-14x slower | Weeks7-14x slower |
| Annual cost* | ~€420-4,788* | €45-65K10-100x more | €10-30K2-50x more | €18-30K4-50x more |
| Your effort | None | Management | Constant | Supervision |
| Handles edge cases | ||||
| Scales on demand | ||||
| Works from day one |
*Dilipod annual cost: Starter €35/mo (€420/yr), Growth €99/mo (€1,188/yr), Scale €399/mo (€4,788/yr). Free tier available (5 executions/mo). 10% off annual billing. Human hire costs are EU averages including salary, benefits, and overhead.
Works with your data &
1000+ systems
Dilipod operates across the software you already use. During onboarding, we confirm where inputs live, where outputs must land, and how results should be reviewed—then we handle setup.
Trust & Control
Control stays with you.
AI Employees operate within boundaries you define. You decide what they can do, where they need approval, and how exceptions are handled.
Security & ComplianceRole boundaries
What the AI Employee can and can't do
Approval points
Where humans must review/approve
Exception handling
Edge cases are routed, not guessed
Auditability
Outputs and actions can be reviewed and verified
Results
Benchmarked outcomes, then real results.
Benchmark Example
Scenario
Review supplier documents and transactions for compliance
Expected Output
Documents validated, transactions checked, red flags escalated
Pass/Fail Criteria
Team only reviews flagged items, not routine checks
Pilot Results
100%
audit coverage
Role: Supplier Compliance Manager
Before: Manual review of all suppliers and transactions
After: AI Employee handles routine checks, team focuses on red flags
"The audit trail alone was worth it. Every action logged, every decision documented—our compliance team finally sleeps at night."
Head of Operations
Series A Marketplace