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Style guide

Style guide

Colors

Accent 100
#ffa600
Accent 200
#e7f3ed
Accent 300
#ecf8f3
Accent 400
#7fa625
Accent 500
#4b6c5f
Accent 600
#507164
Neutral 100
#ffffff
Neutral 200
#f6f6f4
Neutral 300
#f4f6f5
Neutral 400
#f2f4f7
Neutral 500
#e8e7e7
Neutral 600
#a1a1a1
Neutral 700
#838388
Neutral 800
#363636
Neutral 900
#0e0b3d

Typography

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H1

4rem
115%
600

H2

3.125rem
106%
600

H3

2.5rem
125%
600

H4

1.875rem
133%
600
H5
1.5625rem
128%
600
H6
1.25rem
150%
600

Body font

1.125rem
166%
400

Shadows

Small

Logo

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favicon

Brand logo

Lists

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Icons

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Avatars

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Customer expectations have changed. People want accurate answers in minutes, not tickets that sit in a queue for days, and support teams are under pressure to deliver that without doubling headcount.

AI agents close that gap by handling the repetitive questions, such as order status, password resets, and billing basics, while surfacing the full context of every conversation to the human agents who take over the complex cases.

Why AI agents matter for support

The biggest win isn't deflection; it's consistency. An AI agent applies the same policy every time, never loses context between shifts, and gives every human agent a head start on the cases that genuinely need judgment.

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What good escalation looks like

A well-designed AI agent isn't judged by how much it handles alone — it's judged by how reliably it recognizes the cases that need a person, and how smoothly it hands them over.

Benefits include:

  • Faster resolution on routine tickets
  • Consistent policy application
  • Clear escalation for edge cases
  • More time for agents to handle complex, high-value conversations
Final thoughts

The future of support isn't AI instead of people. It's people supported by AI that already knows the answer, so every customer gets a faster, more consistent experience.