Where AI actually makes
a difference

From overloaded support teams to scattered documentation, Chapter’s agents are built to solve real problems — not just answer questions

HVAC

Batteries

Transformers

EMS

HV Equipment

EV Chargers

Inverters

HV Equipment

EV Chargers

Inverters

HVAC

Batteries

Transformers

EMS

Where Chapter makes impact

Tackle your top operational bottlenecks

These are the challenges we see again and again — across support, sales, and operations. Explore how Chapter’s AI agents and chatbots resolve them, fast.

Boosting support efficiency

Company

EMS OEM (Energy Management Systems)

Employees

50 FTE

Market

Benelux

Challenge: Support overload was slowing growth

With over 1,000 monthly support tickets and complex EMS installations involving third-party hardware, response times exceeded 48 hours — delaying projects and dropping customer satisfaction by 15%. Meanwhile, AI-powered competitors were resolving tickets twice as fast.

Chapter Approach

Agent Assist

4 agents (1st & 2nd line support)

Real-time access to product specs, installation flows, troubleshooting steps & FAQs

Faster, more confident replies

Field Assist

160 partner companies × 10 installers each

24/7 self-service help via embedded widget

Installers access all support docs directly from their own app

Tangible Results

3x

faster answers for support agents

-40%

fewer tickets from installers

90%

satisfaction with AI answers (thumbs-up rating)

2,390

monthly prompts
(890 via Agent Assist, 1,500 via Field Assist)

+1.9

FTE equivalent added to the support team — virtually

Further AI Augmentation

Based on strong adoption and measurable impact, the company is now expanding its use of Chapter AI with two new agents: the Manual Update Detector Agent, which flags outdated or missing documentation by analyzing ticket history, and the Ticket Clustering Agent, which identifies recurring issues to support proactive product and process improvements.

0.5 FTE

Theo

Ticket Cluster Agent

1 FTE

Manny

Manual Update Detector Agent

Scaling winter support

Company

Heat Pump Manufacturer

Employees

500 FTE

Market

Germany, Netherlands, France

Challenge: Seasonal support overload was breaking the system

Each winter, support volumes surged past 6,000 tickets per month due to heating issues. Installers faced long waits, homeowners were left in the cold, and response times exceeded 72 hours. Customer satisfaction dropped by 20%, and installers began switching to more responsive OEMs. Meanwhile, competitors using AI support slashed resolution times by 60%.

Chapter Approach

Agent Assist

12 agents across first- and second-line support

Real-time access to product specs and technical documentation

Instant look-up of guides and error code resolutions

Field Assist

480 partner companies × 10 installers each

24/7 access to support docs inside the OEM platform

AI-enabled search to reduce installer questions and speed up on-site fixes

Tangible Results

3x

faster access to ansers

-40%

fewer incoming tickets (calls & emails)

80%

satisfaction with AI responses (thumbs-up rating)

7,080

monthly prompts (2,580 via Agent Assist, 4,500 via Field Assist)

+5.7

FTE equivalent added to the support team — virtually

Further AI Augmentation

To handle future winters with even more resilience, the company is expanding its AI footprint. Many seasonal issues follow repeatable patterns — such as recurring error codes, firmware mismatches, and outdated troubleshooting steps. To address this, they’re deploying the Field Assist Agent, which delivers real-time, contextual answers to installers in the field, and the Ticket Resolver Agent, which automates the resolution of common, repetitive issues using pre-trained workflows — reducing workload and speeding up support.

1.5 FTE

Filo

Field Assist Agent

2 FTE

Tim

Ticket Resolver Agent

Smarter support for solar & storage

Company

Solar Inverter & Battery Manufacturer

Employees

200 FTE

Market

UK, Germany, Netherlands, France

Challenge: Support delays were stalling battery rollouts

Following a surge in demand for battery systems, the support team faced over 2,000 incoming tickets each month and couldn’t keep up — installers were waiting over 48 hours for answers. That meant slower installations, frustrated partners, and a 15% drop in customer satisfaction within six months. Competitors adopting AI assistants cut response times in half, improving both loyalty and operational efficiency.

Chapter Approach

Agent Assist

8 agents supported with instant access to technical specs and troubleshooting

Smart search across internal knowledge base for faster, more accurate answers

Fast look-up of error codes and FAQ responses

Field Assist

320 installer companies × 5 technicians each

Embedded 24/7 support directly in OEM platform and mobile app

All technical docs instantly searchable to reduce calls and emails

Tangible Results

2x

faster access to ansers

-33%

fewer incoming tickets (calls & emails)

78%

satisfaction with AI responses (thumbs-up rating)

4,720

monthly prompts (1,720 via Agent Assist, 3,000 via Field Assist)

+3.8

FTE equivalent added to the support team — virtually

Further AI Augmentation

To stay ahead of rising complexity, the company is expanding its AI capabilities. Field teams often struggled to cross-reference firmware logs or adjust system settings during complex battery and inverter installations. With Chapter AI, installers now get real-time support directly in the field — without relying on back-office staff. The Field Assist Agent provides instant access to relevant documentation and log-based insights to resolve issues faster, while the Setting Configuration Agent enables technicians to safely adjust system settings via the chatbot, streamlining troubleshooting and minimizing delays.

1.5 FTE

Filo

Field Assist Agent

1.5

Seth

Setting Configuration Agent

Numbers speak for themselves

Faster resolutions, fewer tickets, more conversions.

+40%

Faster resolutions

-40%

Ticket volume

+24%

Quote conversion

0

new hires required

Trusted by industry leaders like

What our clients say

Claas Rühling
Production and Tech leader

When our installers encounter installation questions or error codes in the field, they need instant access to accurate, Solvis-specific procedures, not generic heating advice.

Eric
Customer Service

Since we have two systems (CRM and performance system), it’s great that Chapter AI provides a single source of information.

Laurens
Technical Support

When a customer calls, I immediately open Chapter and type in the question while I’m still on the line. And it quickly gives me an answer.

Koen
Client Operations

He came up with an answer that really made me happy. The information came from different documents, and he had put it together neatly

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