AI Agents for Industrial Service

Two breakthrough agentic solutions tackling the biggest pain points in after-sales: wasted dispatches and wasted cash flow. Which one do you explore first?

Predictive Dispatch Agent

Turn every service call into a one-visit fix.

Service-to-Cash Agent

Automate service billing and accelerate your cash flow.

The Predictive Dispatch Agent

Pre-Diagnose Every Job. Eliminate the Multimillion "Second-Visit Tax"

An AI co-pilot for dispatchers that performs an expert-level diagnosis and parts-check before the truck rolls, transforming the service call from a reactive gamble into a proactive, first-visit fix.

Problem

Wrong Tech/Part → Massive Inefficiency

Up to 44% of critical jobs require a costly second visit because the right tech or part isn't available.

Dispatcher Overload & Information Gaps

Dispatchers are forced to navigate fragmented systems, making decisions with incomplete data and no technical expertise.

Customer Pain & Trust Erosion

Every failed visit means extended, costly downtime and a breakdown of the service promise.

Economic Impact

Avg. repeat visit costs: €1,229+ per incident (excluding labor costs).
The FTFR performance gap between the internal baseline (~70%) and best-in-class (90%+) represents a massive, addressable inefficiency.
Critical downtime can cost customers hundreds of thousands of euros per hour.
The chronic technician shortage makes maximizing workforce productivity a top strategic priority.

Solution: From Reactive Gamble to Pre-Diagnosed Fix

An AI co-pilot that acts as the central nervous system for the Service Planner to orchestrate the "perfect dispatch."

1. Ingests

Receives service request, pulls error codes & history.

(Trigger: customer logs issue or IoT alert)

Error code + service history

2. Predicts

Performs an expert pre-diagnosis: Identifies the fault, parts, and best-fit tech before anyone leaves the office.

(Checks part availability in ERP/warehouse)

Parts list + technician match

3. Orchestrates

Creates job order, reserves parts, briefs technician & updates customer with ETA.

Technician: Anna Müller

Parts: Pump-123, Seal-45

ETA: Tomorrow, 14:30

+20% FTFR −30% repeat visits

(Everything ready for a true “first-time fix”)

Expected Outcome

Dream Outcome: Increase the FTFR from its ~70% baseline to over 85%, drastically reducing customer downtime.

Likelihood of Success: Very high. Over 50% of failed visits are due to pre-service failures which our agent directly addresses.

Time Delay: Diagnosis is shifted from a multi-day process to an automated analysis that takes minutes.

Effort/Sacrifice: Minimal. The solution is an intelligent overlay, not a disruptive "rip-and-replace" project.

Stakeholder Value

Dispatchers

Go from reactive data entry to strategic problem-solving.

Technicians

Arrive on-site prepared and confident, focusing on high-value repair work instead of diagnosis.

Customers

Experience faster resolutions with fewer visits, building long-term trust and loyalty.

Leadership

See a direct impact on the bottom line through reduced costs and increased service margin.

Help Shape the Future of Service Operations

We're looking for industry experts to help guide the development of this solution. Choose the option that works best for you:

Stay in the Loop

Receive occasional updates on our progress and be the first to know when our pilot program is ready.

Keep Me Updated

Share Your Expertise

Have a quick, 15-minute chat with me (Nils) to share your thoughts and help us ensure we're building a solution that truly solves your problems.

Schedule a Call

The Service-to-Cash Agent

Eliminate the €73M Administrative Black Hole

An agentic AI that autonomously orchestrates the entire administrative workflow from a completed job to a paid invoice, eliminating rework and accelerating your cash flow.

Problem

Massive Administrative Overhead

50% of 1.4M+ annual service reports require manual rework, creating a slow and frustrating workflow.

Technician & Back-Office Burden

Admin drag consumes up to 27% of a technician's time and nearly 48% of back-office time.

Delayed Cash Flow & Revenue Leakage

Manual processes and PO chasing directly delay invoicing, harming cash flow and preventing growth.

Economic Impact

Back-office staff spend ~48.5% of their entire work week on administrative tasks—a productivity loss that can represent ~€73M annually for a single large OEM.
Technicians spend roughly 1 hour per week just entering time and travel data into SAP.
Delayed billing directly harms working capital; 89% of businesses report that late payments prevent growth.

Solution: The AI Service-to-Cash Agent

An agentic AI that autonomously orchestrates the entire administrative workflow from a completed job to a paid invoice.

1. Ingests & Validates

Triggered by job completion, ingests service report data and validates against contract, warranty, and POs.

2. Reasons & Acts

If data is consistent, sends invoice. If PO is missing, initiates follow-up. If discrepant, flags for human review with context.

3. Closes the Loop

Updates all relevant systems (FSM, ERP) and provides a clear audit trail, completing the "job-to-cash" cycle in hours, not weeks.

Expected Outcome

Dream Outcome: Reduce the manual service report processing rate from 50% to under 5%, freeing up thousands of hours for technicians and back-office staff and significantly accelerating the company's cash flow.

Likelihood of Success: High. The process is rule-based but complex, making it a perfect fit for an AI agent to manage the numerous checks and handoffs that currently overwhelm human staff.

Time Delay: Reduces the "job-to-cash" cycle from a process that can take weeks down to minutes or hours.

Effort/Sacrifice: Minimal. The solution is designed as an intelligent orchestration layer that connects existing systems (ERP, FSM, CRM) without requiring a disruptive "rip-and-replace" project.