TL;DR
Most AI support agents were built for one kind of problem: lots of customers asking simple questions. Where's my order? How do I reset my password? What's your refund policy? That's B2C support. High volume, low context, and the answer is usually the same for everyone.
B2B support is a different job. It's a mix.
Plenty of tickets are still simple, like "how do I add a user?" or "where's my invoice?" A good knowledge base answers those. But many others carry more context. The right answer depends on the account, the plan, the setup, and the history. Often someone has to dig in before anyone can answer at all.
A B2B agent has to handle both: the routine asks and the investigation.
An AI agent is only as good as the context it can see. Most high-volume agents start from your help center and the chat history in front of them. That's plenty for "how do I reset my password?" It's not enough for "why is our SSO sync failing after last week's release?"
To answer that, someone needs:
That's the context B2B answers live in. And it rarely sits with one team. Support, CS, product, and engineering each hold a piece of it, so the agent needs that shared context, not just a knowledge base.
The question isn't "can it deflect chats?" It's this:
New to the term? Start with Agentic Support vs AI Chatbots.
We looked at each product through a B2B support lens:
Disclosure: this post is published by Pylon. We've tried to be fair and stick to what each vendor says publicly. Where a competitor is the better fit, we say so.
| Pylon | Fin | Decagon | Sierra | Zendesk AI | |
|---|---|---|---|---|---|
| Best for | B2B support with a mix of complex and simple questions | B2C questions answerable from a knowledge base | B2C simple questions deflectable by a knowledge base or a few pre-built flows (often seen in airlines and travel) | B2C simple questions deflectable by a knowledge base or a few pre-built flows (strong in retail and ecommerce) | B2C questions answerable from a knowledge base, for teams on Zendesk |
| Sweet spot | B2B: simple questions plus high-context issues that need digging, in one queue | B2C-style: high volume, low context | B2C-style: high volume, low context | B2C-style: high volume, low context | B2C-style: high volume, ticket-based |
| Native B2B account context | Yes: ARR, health, history, CRM | Uses CRM and connected data | Through integrations | Through integrations | Through Zendesk data and integrations |
| Context sources for agents | Knowledge base and ticket history, plus CRM activity (Salesforce, HubSpot, Attio, Pipedrive), call recordings (Gong, Granola, Fathom, and more), issue trackers (Jira, Linear, GitHub Issues), codebase (Cursor, Devin), data warehouses, and any MCP server | Knowledge content, conversation history, and connected data via Procedures | Knowledge, conversation history, and connected systems via integrations | Knowledge, conversation history, and connected systems via custom builds | Help center, ticket history, and Zendesk integrations and actions |
| Investigate and act | Support Agent, Assist Agent, Skills, Automations | Procedures, Skills, Operator Routines | Agent operating procedures | Custom agent builds | AI agent builder + actions |
| Internal team agent | Assist Agent, Slack Agent | Copilot (add-on) | Not the focus (deflection-first) | Not the focus (deflection-first) | Copilot (add-on) |
| Pricing model | Seats + agentic credits (committed packages; PAYG when enabled) | $0.99 per outcome | Per conversation or per resolution (quoted) | Outcome-based (quoted) | Outcome-based automated resolutions |
| Public pricing | Yes | Yes | No | No | Yes |
| Setup | Self-serve, or guided with forward deployed engineers. Plain-English Skills, no code | Self-serve, with lighter hands-on implementation help | Complex, vendor-led implementation, plugged into your existing help desk | Complex, vendor-led implementation, plugged into your existing help desk | Complex implementation for advanced AI agents and workflows |
| Channels | Covers more B2B channels (email, Slack, Teams, portals, forms, and more) | Chat, email, WhatsApp, SMS, voice, Slack | Chat, email, voice | Chat, email, voice (enterprise) | Messaging, email, voice |
Best for: B2B teams with a mix of complex and simple questions. Agents investigate the hard tickets with account context, resolve the routine ones, take action across CRM and engineering tools, and hand off cleanly to humans. Common in B2B SaaS and technical products, where tickets often need digging.
Pylon is the agentic support platform purpose-built for B2B. Humans and AI agents work together across support, customer success, and product.
This is where Pylon pulls away. Agents don't just read the knowledge base. They load the whole picture of the account and the product, across 13 integration categories:
Put together, when someone opens a ticket the agent already knows:
When that isn't enough, it uses that as the starting point for a deeper investigation across logs, account data, Linear, Notion, Slack, and the codebase. That's what lets it investigate instead of just reply.
You can backtest agent changes against past tickets before going live. Pylon also includes ticketing, SLAs, a knowledge base, analytics, and optional account intelligence for CS teams.
On Pylon's own support team, a common hard ticket is a customer asking what happened to a specific record, like when a team was deleted. Those used to mean logging into AWS, finding the right log group, writing a SQL query, and drafting a reply.
Now the ticket arrives pre-investigated, with the relevant log lines and timestamps and a draft response.
From Pylon's own support team: A 30-minute investigation became about two minutes to review and approve. Through the Cursor integration, Support ran 773 codebase searches in the four weeks after rollout, and questions in our internal #product-helpdesk Slack channel dropped by about 50%.
Where we often see the biggest impact is on forecasted headcount spend. You don't need to grow the team to keep up. Your existing team can catch up on both the quality and quantity of support. Full story: How Pylon adopted agentic support.
Channels: Pylon also covers more of the channels B2B customers use. Email, Slack (Slack Connect, Community, internal), chat widget and mobile SDKs, ticket forms, Discord, WhatsApp, Telegram, and SMS on every plan. Microsoft Teams and Google Chat on Advanced and Enterprise. Phone as an add-on.
Setup: Self-serve or guided. Teams can set up agents themselves with plain-English Skills and no code, or work with Pylon's forward deployed engineers for a guided rollout.
Pricing: Professional is $89 per seat/month and Advanced is $139 per seat/month, both on an annual contract. Enterprise is custom. Agentic features run on credits, available as committed packages. Pay-as-you-go is available when enabled for your account. No per-ticket or per-resolution fees. See pricing.
Limitations: Pylon is built for teams, so there's a minimum seat count and no free plan (free trials are available through sales). If your support is mostly high-volume, simple consumer questions that a knowledge base can answer, a B2C-focused tool may be a better fit.
Verdict: The strongest pick for B2B teams whose queue mixes quick answers with issues that need investigation.
Trusted by 1,500+ B2B companies globally, from enterprise companies like Airtable, Amplitude ($AMPL), Applied Intuition to scale-ups like Cognition, Linear, Together AI, Ashby. Teams that support both B2B and B2C, like Sardine and Wispr Flow, also use Pylon. Full details: Pylon facts.
Best for: High-volume, B2C-style questions that your knowledge base can answer, in chat, email, and in-app. Widely used for product support in the Intercom world.
What it does: Fin (formerly Intercom) is one of the best-known AI customer agents. Salesforce completed its acquisition of Fin on September 10, 2026, and Fin now operates within Salesforce AI Labs.
Fin resolves questions across chat, email, WhatsApp, SMS, voice, and Slack, and reports an average 76% resolution rate. Recent releases add Procedures, Skills, Operator Routines, and a rebuilt Copilot. Fin can run on Intercom or alongside other help desks.
Setup: Self-serve. Most teams set Fin up themselves. That's quick to start, but there's less hands-on implementation help than a guided model with forward deployed engineers.
Pricing: $0.99 per outcome (a resolution or a successful Procedure handoff), charged at most once per conversation. Fin with another help desk has a minimum of 50 outcomes per month. Copilot for human agents is $35 per user/month.
Limitations for B2B: Fin's sweet spot is high-volume, low-context questions a knowledge base can answer, the kind common in B2C and in-app support.
It can do more with Procedures and connected data. But pulling in things like call recordings, engineering tickets, and code context, and doing deep account-level investigation and cross-team engineering handoffs, depend on how much you connect and configure.
Verdict: One of the best options for automated resolution at scale. For B2B issues that need investigation, look closely at what happens to the tickets it doesn't resolve.
Best for: Large B2C enterprises that want to deflect simple questions, the kind a knowledge base or a few pre-built flows can handle ("reset my password"), and already run a separate help desk.
Industries: Decagon has a strong presence in airlines and travel and hospitality, with Delta Air Lines as a public customer, alongside other large enterprises.
What it does: Decagon is most well known for its deflection agents. They handle high volumes of customer conversations across chat, email, and voice, following "agent operating procedures" written in natural language, with testing and analytics for large deployments.
Decagon isn't a help desk. You plug it into the ticketing system you already use, and that's where the work goes when the agent can't finish it.
Setup: A complex, vendor-led implementation. Decagon works with your team to build and connect the agent, rather than a self-serve setup.
Pricing: Per conversation or per resolution, with rates quoted by sales. Decagon doesn't publish a public rate card.
Limitations for B2B: Decagon's sweet spot is deflecting simple, high-volume customer questions at consumer scale. It's an agent layer, not an all-in-one platform.
You still need a separate help desk for ticketing, SLAs, and human handoff, plus the work of wiring the two together. That means two systems, two contracts, and context split between them.
A B2B team with a mix of routine questions and complex tickets usually gets more from one platform where the agent and the help desk share the same account context.
Verdict: A strong choice for enterprise, high-volume deflection. Less of a fit if you want agentic investigation, account context, and the help desk in one place.
Best for: Large B2C brands that want a premium, vendor-built deflection agent for simple questions a knowledge base or a few pre-built flows can handle, on top of their existing help desk.
Industries: Sierra has a strong presence in retail and ecommerce, with public customers like OluKai, Wilson, and Sun & Ski.
What it does: Sierra is most well known for its deflection agents. It builds branded customer-facing agents for large companies in sectors like financial services, telecom, retail, and travel, with testing and monitoring tools and a dedicated agent development team.
Sierra isn't a help desk. You plug it into the support stack you already have, and escalations land back there.
Setup: A complex, vendor-led implementation, built with Sierra's own agent development team rather than self-serve.
Pricing: Outcome-based. You pay a pre-agreed rate when the agent completes an agreed outcome (for example, a resolved case), with rates negotiated per customer. No public pricing.
Limitations for B2B: Sierra is designed for very large, mostly consumer-scale deployments, where lots of customers ask similar, simple questions.
It's not all-in-one. You keep paying for and running a separate help desk, and setup is a services engagement to connect the two rather than self-serve. For B2B, that splits the account context your hardest tickets depend on across systems.
Verdict: One of the strongest deflection options for big B2C brands. Usually not the first stop for a B2B team that wants investigation, account context, and the help desk in one place.
Best for: Teams already on Zendesk with high-volume, B2C-style questions that a knowledge base can answer, who don't want to switch platforms.
Industries: Zendesk has a broad customer base across many industries.
What it does: Zendesk includes AI agents for messaging and email in its Suite and Support plans, plus voice with Zendesk voice. It offers an AI agent builder, integrations and actions, and a Copilot add-on for human agents.
Setup: Basic AI agents can start from your help center, but advanced AI agents, actions, and integrations are meant for more complex implementations, often with Zendesk or partner services.
Pricing: Seats plus outcome-based billing for automated resolutions.
Limitations for B2B: Zendesk was built for ticket-based, high-volume support, and its AI shines on repeatable questions a knowledge base can answer. Account-level B2B workflows usually need extra setup or apps, and costs can add up across seats, add-ons, and resolutions.
Verdict: The easy choice if you're staying on Zendesk. If your hard tickets need investigation with account context, it's worth comparing a B2B-first platform.
Most AI agents are tuned for B2C: high volume, low context, simple questions that don't need investigation. B2B support still has simple questions, but it also has a few traits that change what "good" looks like:
Deflection rates matter less here. High-volume agents often stop at the knowledge base and chat history. B2B needs CRM, calls, tickets, and engineering systems in the same view.
You need an agent that:
It also helps if it covers more B2B channels, like email, Slack, Teams, and portals.
| If you need… | Look at |
|---|---|
| Agents that answer routine B2B questions and investigate the hard ones, with account context | Pylon |
| Agents that pull context from CRM activity, call recordings, issue trackers, and your codebase | Pylon |
| One platform for support, CS, and product signals | Pylon |
| A mix of complex and simple B2B questions in one queue | Pylon |
| Self-serve setup, or a guided rollout with forward deployed engineers | Pylon |
| High-volume B2C questions your knowledge base can answer, with a self-serve setup | Fin |
| A vendor-built deflection agent for simple B2C questions and pre-built flows, plugged into a help desk you already run | Decagon (strong in airlines and travel) or Sierra (strong in retail and ecommerce) |
| AI for knowledge-base questions without leaving Zendesk | Zendesk AI |
| Predictable cost without per-ticket or per-resolution fees | Pylon (seats + credits) |
For B2B teams handling a mix of complex and simple questions (account context, real actions, humans in the loop), Pylon is built for that job, and you can set it up yourself or with forward deployed engineers.
Fin and Zendesk AI are more optimized for B2C questions a knowledge base can answer. Decagon and Sierra are best for simple B2C questions a knowledge base or a few pre-built flows can handle, with complex, vendor-led setups plugged into a separate help desk.
B2C agents are built for high volume and low context: lots of customers asking simple, similar questions that a knowledge base can answer. B2B agents need to handle both: the simple questions a knowledge base can answer, and the harder issues where the answer depends on the account and often needs investigation across CRM, engineering, and past conversations.
It should investigate with account context (CRM activity, call recordings, open bugs, even the codebase), take approved actions across your tools, and hand off cleanly to a human when judgment is required, not only answer from a knowledge base. More on that in Agentic Support vs AI Chatbots.
All three are strongest on high-volume B2C conversations.
Fin is a self-serve customer agent for questions your knowledge base can answer, priced at $0.99 per outcome, with lighter hands-on implementation help.
Decagon and Sierra are best known for their deflection agents for simple questions and pre-built flows, sold to large enterprises with quoted pricing (per conversation or resolution for Decagon, outcome-based for Sierra) and complex, vendor-led implementations. Sierra has a strong presence in retail and ecommerce, Decagon in airlines and travel. Neither is a help desk, so you have to plug them into the one you already run.
Pylon is all-in-one for B2B: the agents and the help desk share the same account context, and setup is self-serve or guided with forward deployed engineers.
It depends on the vendor. Pylon is self-serve, or guided with forward deployed engineers if you want help. Fin is self-serve, with lighter hands-on implementation help. Zendesk AI's advanced agents, Decagon, and Sierra are built for complex implementations, usually vendor-led or services-heavy.
Models vary: per outcome or resolution (Fin, Sierra, Zendesk), per conversation (Decagon option), or seats plus credits (Pylon: $89 or $139 per seat/month, committed credit packages, pay-as-you-go when enabled for your account). See Pylon pricing.
Pylon is purpose-built for B2B, but teams that support both B2B and B2C, like Sardine and Wispr Flow, use it too.
More than a knowledge base. For B2B, the agent should see the account (plan, ARR, health, history), recent CRM activity, what was said on customer calls, open bugs in your issue tracker, and ideally the code itself.
Pylon connects to CRMs like Salesforce and HubSpot, call recorders like Gong and Granola, issue trackers like Jira and Linear, codebase tools like Cursor and Devin, and data warehouses, plus any MCP server. See the full integrations list.
Not entirely. The best setups let agents handle lookups, triage, investigation, and common questions while people handle judgment calls and key relationships. In practice, agents don't replace the team so much as let you keep forecasted headcount flat while your existing team improves both the quality and quantity of support.
The Pylon facts page lists current pricing, channels, and product details.
Pylon Workforce Management is available now. See it in action with a live demo.
