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

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.

Too many support tickets

Symptom

Repetitive tickets, long resolution times

Results

Up to 80% of repeat tickets handled automatically

Suggested Agent

2 FTE

Theo

Ticket Cluster Agent

1.5 FTE

Filo

Field Assist Agent

Sales team can't keep up

Symptom

Missed leads, manual quoting, back-and-forth on scheduling

Results

3x faster conversion, reduced manual quoting

Suggested Agent

1.5 FTE

Coco

Consumer Assist Agent

1 FTE

Quinn

Price Quote Agent

1 FTE

Sketch

Scheduler Agent

Documentation is everywhere

Symptom

Teams waste time finding the right file or answer

Results

Reduce search time, always-on access

Suggested Agent

1 FTE

Manu

Manual Update Detector Agent

No insight into what content works

Symptom

Docs go unused or outdated, no feedback loop

Results

Show what’s working, flag what’s missing

Suggested Agent

2 FTE

Theo

Ticket Cluster Agent

1 FTE

Manu

Manual Update Detector 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

Eric
Qvantum

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

Laurens
Eplucon

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
Qvantum

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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