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Guides, research, and practical insights from the Clad team.

17 items
╔═══════════════════════════════════════════════════╗
║ A G E N T I C S U P P O R T ║
╠═══════════════════════════════════════════════════╣
║ ║
║ ┌────────┐ ┌──────────┐ ┌────────────┐ ║
║ │MONITOR │───▶│ DETECT │───▶│ INVESTIGATE│ ║
║ └────────┘ └──────────┘ └─────┬──────┘ ║
║ ▲ │ ║
║ │ ┌──────────┐ │ ║
║ ┌────┴───┐ │ KNOWLEDGE│ ┌────▼─────┐ ║
║ │ PREVENT│ ◀───│ BASE │◀───│ RESOLVE │ ║
║ └────────┘ └──────────┘ └──────────┘ ║
║ ║
║ slack ─┐ email ─┐ chat ─┐ ║
║ ├──────────┼───────┤ ──▶ AI AGENT ║
║ logs ─┘ CRM ─┘ KB ─┘ ║
║ ║
║ reactive ░░░░░░░░▓▓▓▓▓▓▓▓████████ proactive ║
╚═══════════════════════════════════════════════════╝
FeaturedIndustry10 min read

What is agentic customer support?

The shift from reactive ticket-by-ticket support to proactive, AI-driven support that monitors, anticipates, and resolves issues before customers notice.

Richard WangMar 31, 2026
t0 ░░░░░░░░░░░░░░░░░
t1 ▓▓▓░░░░░░░░░░░░░░
t2 ▓▓▓▓▓▓░░░░░░░░░░░
t3 ▓▓▓▓▓▓▓▓▓░░░░░░░░
t4 ▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░
══ knowledge ▲▲▲ ════
Guide9 min read

How AI support systems build compounding knowledge

Every resolved ticket is a learning opportunity. AI support platforms build persistent knowledge models that compound institutional intelligence with each interaction.

Olivia ChenApr 7, 2026
┌── AI TYPES ──┐
│ ░░░░░░░░░░░░ │ ✗ why
│ ░░░░░░░░░░░░ │ ✗ how
│ reply text │ ✓ txt
└──────────────┘
generation ≠ reason
Industry8 min read

Your AI support tool has a comprehension problem

Most AI support tools generate plausible replies but can't investigate root causes or connect to backend systems. The gap between AI that types and AI that understands.

Kevin LeApr 4, 2026
IN ──▶ TRIAGE ──▶ INV
│ │
▼ ▼
parse ┌───────┐ ctx
│ AGENT │
ESC ◀── └───┬───┘──▶RES
Product8 min read

Anatomy of an autonomous support agent

Autonomous AI agents don't just draft replies. They intake, triage, investigate, resolve, and escalate — end to end. Here's how each stage works.

Olivia ChenMar 24, 2026
email ─┐
slack ─┤ ┌──────────┐
chat ─┼─▶│ TRIAGE │
logs ─┤ └────┬─────┘
CRM ─┘ │
classify ▸ route
Product8 min read

The architecture behind intelligent support triage

How AI triage systems correlate signals across channels, customer data, and knowledge bases to auto-classify and route support tickets in real time.

Kevin LeMar 17, 2026
┌─────┐ ┌─────┐ ┌─────┐
│ SUP │───│ ENG │───│ CSM │
└──┬──┘ └──┬──┘ └──┬──┘
│ ┌────┴────┐ │
└────┤ CONTEXT ├────┘
└─────────┘
Guide8 min read

Why cross-functional collaboration is the foundation of great support

Support tickets don't stay in one lane. They move between support, success, and engineering. When teams share context instead of passing tickets blindly, customers get faster answers.

Olivia ChenMar 10, 2026
╭──────────────╮
│ ░░ AI ░░ │
│ ░░░░░░░░ │
╰──────┬───────╯
┌───┐ ┌─┴─┐ ┌───┐
│ R │ │ D │ │ T │
└───┘ └───┘ └───┘
Industry10 min read

AI support tools: what they are, how they work, and how to choose one

AI support tools automate tickets, draft replies, and route issues — letting your team handle more volume without adding headcount.

Kevin LeMar 3, 2026
SIGNALS ═══════════════
▓▓▓░░░░░ churn 72%
▓▓▓▓▓▓░░ health 85%
▓▓░░░░░░ upsell 34%
▓▓▓▓▓░░░ engage 68%
═══════════════════════
Product7 min read

From tickets to signals: how account intelligence changes support

Your support conversations already contain the signals you need to predict churn, spot upsell opportunities, and keep accounts healthy.

Richard WangFeb 24, 2026
2024 ············▶ 2030
┌──┐ ┌──┐
│▒▒│ ░░░░░░░░░░░ │██│
│▒▒│ ░ EVOLVE ░░ │██│
│▒▒│ ░░░░░░░░░░░ │██│
└──┘ └──┘
Industry9 min read

AI will reshape customer experience by 2030

Within five years, AI will handle 80% of customer inquiries end-to-end. The companies investing now are already seeing results.

Kevin LeFeb 17, 2026
╔══════════════════════╗
║ ◆ TRUST ◆ ║
╠══════════════════════╣
║ security ████░░░░ ║
║ privacy █████░░░ ║
║ control ██████░░ ║
╚══════════════════════╝
Guide8 min read

The AI trust gap: security, privacy, and control in customer support

Customers want AI-powered support that's fast and accurate. They also want to know their data is safe. Here's how to close the gap.

Olivia ChenFeb 10, 2026
team: 3 ──▶ team: 3
┌─┐┌─┐┌─┐ ┌─┐┌─┐┌─┐
│▓││▓││▓│+AI │█││█││█│
└─┘└─┘└─┘ └─┘└─┘└─┘
200 tickets 2000 tix
▲▲▲ 10x ▲▲▲
Industry7 min read

How AI gives startup support teams an unfair advantage

Lean teams can't hire their way out of growing ticket volume. But with the right AI tools, a 3-person team delivers the service of 30.

Richard WangFeb 3, 2026
email ──┐
slack ──┤ ┌─────────┐
chat ──┼──│ INBOX │
social──┤ └─────────┘
phone ──┘
▸ unified ◂
Guide9 min read

The omnichannel playbook: unify every support channel

Customers don't think in channels. They email on Monday, DM on Tuesday, and call on Wednesday — all about the same issue.

Olivia ChenJan 27, 2026
┌── METRICS ──┐ ┌─ WHY ──┐
│ CSAT ↓8% │ │form UX │
│ NPS flat │ │confuse │
│ churn ↑3% │ │onboard │
└─────────────┘ └────────┘
what happened research
Guide8 min read

Why UX research is the missing piece in most CX strategies

CSAT and NPS tell you what happened. UX research tells you why. Support leaders who bring research into their strategy design experiences that work.

Kevin LeJan 20, 2026
TURN 1 ✓ ──▶ TURN 2 ✓
TURN 3 ✓ ──▶ TURN 4 ✗
TURN 5 ? noise ░░░
══ multi-turn test ════
Product10 min read

How to test AI agents before they talk to your customers

AI agents that ace single-turn tests often fail in real conversations. Multi-turn testing with noise injection is the only way to know if your agent is ready.

Kevin LeJan 13, 2026
BUILD BUY
┌────────┐ ┌────────┐
│ months │ │ days │
│ $$$$$$ │ │ $$$ │
│ risk ▲ │ │ risk ▽ │
└────────┘ └────────┘
Industry9 min read

Build vs. buy: the real cost of rolling your own AI support agent

Foundation models are everywhere and building your own AI agent feels doable. But the hidden costs add up faster than most teams expect.

Richard WangJan 6, 2026
╱╲
╱ ╲ TRUST
╱ ◆◆ ╲
╱ ◆◆◆◆ ╲
╱ ◆◆◆◆◆◆ ╲
╱──────────╲
ctrl sec priv
Guide7 min read

Designing for trust: five principles for responsible AI in support

Customers want AI that's fast and helpful. They also want to know it's safe. Five pillars that make AI trustworthy.

Olivia ChenDec 30, 2025
⚠ INCIDENT ════════════
detect ──▶ classify
diagnose ──▶ escalate
resolve ──▶ review ✓
Product10 min read

Incident management for support teams: a practical framework

When your product goes down, every second counts. A step-by-step framework for detecting, triaging, resolving, and learning from incidents.

Kevin LeDec 23, 2025