What is AI customer service?

AI customer service is the use of language models to handle customer questions, either by drafting replies for human agents or by answering customers directly. In 2026 every helpdesk vendor ships some version of it. The differences sit in how it is billed and how well it is grounded in your content.

The two roles AI plays in support

The first role is the AI Copilot. It sits next to a human agent and drafts a suggested reply when a customer message comes in. The agent reads the draft, edits it if needed, and sends. The Copilot is meant to speed up the agent, not replace them.

The second role is the AI Bot. It talks directly to the customer, in chat or email. If it can answer the question from the knowledge base, it does. If not, it hands the conversation off to a human. The bot is meant to deflect simple questions so the team can focus on the hard ones.

How the AI knows your business

An AI model that has only been trained on the public internet does not know your prices, your refund policy, or your edge cases. To answer correctly it needs your content fed in at runtime. The technical name for this is RAG, which stands for retrieval augmented generation.

In practice it means the vendor's system reads your help center articles, your training documents, sometimes your past tickets, and packs the relevant ones into the AI's context window before the AI generates anything. The reply that comes back reads like your team would have written it because the model is literally working from what your team wrote before.

An ungrounded AI sounds confident but gets the details wrong. A grounded AI sounds like your team.

How vendors bill AI

Two patterns matter in 2026.

The first is per resolution. The AI gets billed every time it marks something solved. Zendesk does this at $1.50 to $2.00 per resolution. The bill is unpredictable: a viral spike doubles your AI cost the same month it doubles your volume.

The second is per conversation. The AI gets billed for every conversation it touches, no matter the outcome, at rates close to what the model itself costs. Deskwoot does this: every plan includes a monthly allowance of AI conversations (10, 50, 100 or 300 depending on the plan), and each extra one costs $0.03 to $0.07 from a prepaid balance. The bill scales evenly with traffic.

At 5,000 AI conversations a month, the difference between the two models is roughly $7,500 vs $141 to $347 (the cost of the extra conversations on Deskwoot's Enterprise and Startup plans).

What to compare

• Billing model: per resolution, per session, or per conversation?
• Foundation model: which one is under the hood (Claude, GPT, Gemini)?
• Grounding: knowledge base only, or training documents and past tickets too?
• Handoff: when the AI cannot answer, does it transfer cleanly to a human?
• Prompt injection posture: does the vendor have guardrails against malicious customer input?

Where Deskwoot fits

Deskwoot ships AI Copilot on every plan, including the free Hacker plan. The AI Bot Fynn (from the Startup plan) is grounded in your help center plus the Training Hub, which can ingest website crawls, PDFs, and FAQ pairs. Every plan includes AI conversations each month (Hacker 10, Startup 50, Business 100, Enterprise 300); extra ones cost $0.03 to $0.07 each from a prepaid balance, with no per resolution surprise charges.

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Frequently asked questions

What is the difference between an AI Copilot and an AI Bot?

The Copilot drafts a suggested reply for a human agent, who reads it, edits it if needed and sends it. The AI Bot talks to the customer directly and hands the conversation to a human when it cannot answer from the knowledge base.

Which Deskwoot plans include AI?

AI Copilot is on every plan, including the free Hacker plan. The AI Bot Fynn is available from the Startup plan.

How many AI conversations are included, and what do extra ones cost?

Every plan includes AI conversations each month: Hacker 10, Startup 50, Business 100, Enterprise 300. Extra ones cost $0.03 to $0.07 each from a prepaid balance, depending on the plan, with no per resolution charges.

What content does Fynn answer from?

Fynn is grounded in your help center plus the Training Hub, which can take in website crawls, PDFs and FAQ pairs.

What does RAG mean?

Retrieval augmented generation. The system finds the parts of your content that fit the question and gives them to the AI before it writes a reply, so the answer is based on what your team wrote and not only on the public internet.