• Evaluating Fin?

Delight.ai 
for enterprise.
Fin for SMBs.

Delight.ai is built for enterprise support, with persistent memory, individual-level personalization, and governance that scales with your organization.

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7B+Conversations/month
300M+Monthly active users
99.9%+Uptime SLA
10+ yrEnterprise infra

Delight.ai vs Fin :
Where Fin is strong. Where we differ.

Persistent memory
Agent Memory Platform (AMP)Long-term memory across chat, SMS, email, and voice. Context persists across every session and channel.Session-based. No persistent cross-channel memory today. Memory is on Intercom's roadmap but not yet live.
AI governance & safety
Trust OS offers response-level governanceEvery AI response is governed at the response level with policy enforcement, observability, and brand controls built in structurally.Post-hoc monitoring only. No equivalent response-level governance or AI policy enforcement layer.
Pricing model
Enterprise contractPredictable contract-based pricing with dedicated onboarding and white-glove support.Per-resolution fees, per-seat plans, and per-channel charges. Every capability is a separate line item.
Personalization
Memory-driven personalizationAMP builds a persistent profile from every interaction. Every response knows who the customer is, what they've done, and what they need.Fin has outbound messaging but no memory. Without memory, there is no personalization, only rules.
Deployment model
Dedicated enterprise onboardingWhite-glove implementation, proof-of-concept process, and ongoing success support.14-day self-serve trial. Complex deployments require Intercom's services team, which can extend timelines.
Capability
Delight AI agent
Fin (Intercom)
Persistent memory
Agent Memory Platform (AMP)Long-term memory across chat, SMS, email, and voice. Context persists across every session and channel.
Session-based. No persistent cross-channel memory today. Memory is on Intercom's roadmap but not yet live.
AI governance & safety
Trust OS offers response-level governanceEvery AI response is governed at the response level with policy enforcement, observability, and brand controls built in structurally.
Post-hoc monitoring only. No equivalent response-level governance or AI policy enforcement layer.
Pricing model
Enterprise contractPredictable contract-based pricing with dedicated onboarding and white-glove support.
Per-resolution fees, per-seat plans, and per-channel charges. Every capability is a separate line item.
Personalization
Memory-driven personalizationAMP builds a persistent profile from every interaction. Every response knows who the customer is, what they've done, and what they need.
Fin has outbound messaging but no memory. Without memory, there is no personalization, only rules.
Deployment model
Dedicated enterprise onboardingWhite-glove implementation, proof-of-concept process, and ongoing success support.
14-day self-serve trial. Complex deployments require Intercom's services team, which can extend timelines.

What enterprise looks like in practice.

Three capabilities Fin doesn't offer, built into delight.ai from day one.

Agent Memory Platform
Agent Memory Platform

A long-term memory layer across chat, SMS, email, and voice. Fin resets with every session.

Enterprise from day one
Enterprise from day one

One contract, predictable pricing. Fin stacks per-resolution fees, seat costs, and channel charges on top of each other.

Trust OS, built in
Trust OS, built in

Response-level governance: built-in observability, policy enforcement, and brand control—structural, not post hoc monitoring.

Where Fin is strong.
Where we differ.

We believe the strongest case for delight.ai is an honest one. Here's where Fin excels, and where we're built differently.

When to choose each platform

You need persistent customer memory
AMP, live todayLong-term memory across every channel. Every session builds on the last.Not available yetFin resets with each session. Cross-channel memory is on the roadmap, not shipped.
You need AI governance and auditability
Trust OSResponse-level governance with full observability. Every AI decision is traceable.Post-hoc monitoringNo equivalent response-level governance layer. Monitoring detects issues after they occur.
You need predictable enterprise pricing
Enterprise contractFixed contract pricing with dedicated onboarding. No per-resolution surprises.Layered, usage-based billingPer-resolution fees plus per-seat plans, per-channel charges, and add-ons. Total cost is difficult to predict and compounds at scale.
You need memory-driven personalization
AMP-powered personalizationEvery response is tailored to the individual based on their full history across channels.Rules-based onlyFin supports outbound messaging but has no persistent memory. Personalization is limited to what you explicitly configure.
Capability
Delight AI agent
Fin (Intercom)
You need persistent customer memory
AMP, live todayLong-term memory across every channel. Every session builds on the last.
Not available yetFin resets with each session. Cross-channel memory is on the roadmap, not shipped.
You need AI governance and auditability
Trust OSResponse-level governance with full observability. Every AI decision is traceable.
Post-hoc monitoringNo equivalent response-level governance layer. Monitoring detects issues after they occur.
You need predictable enterprise pricing
Enterprise contractFixed contract pricing with dedicated onboarding. No per-resolution surprises.
Layered, usage-based billingPer-resolution fees plus per-seat plans, per-channel charges, and add-ons. Total cost is difficult to predict and compounds at scale.
You need memory-driven personalization
AMP-powered personalizationEvery response is tailored to the individual based on their full history across channels.
Rules-based onlyFin supports outbound messaging but has no persistent memory. Personalization is limited to what you explicitly configure.

You are a small team focused on ticket deflection

If ticket deflection is the entire scope, Fin delivers.

Your conversation volume is low & predictable

Your volume is low and predictable. Fin's per-resolution pricing works at small scale.

Each support interaction is fully standalone

Every interaction is standalone. No prior context needed? Fin's session model covers it.

Questions to ask any AI vendor, including us.

The right questions surface the real differences between platforms.

Enterprise platforms offer persistent memory, auditable governance, and fixed contract pricing. SMB tools are optimized for fast setup at low volume, where per-resolution billing and self-serve onboarding make sense. At enterprise scale, those tradeoffs become liabilities. See how delight.ai is built for enterprise.

Agent Memory Platform (AMP) builds a persistent profile from every interaction across chat, SMS, email, and voice. Context is retained across sessions so every conversation builds on the last.

AMP shapes every response to the individual based on their full history, preferences, and past interactions. For You Conversations (FYC) uses that memory to reach out proactively before the customer asks. Without persistent memory, personalization is rules-based, not relationship-based.

With omnichannel continuity, context travels with the customer across every channel. They never repeat themselves. Without persistent memory, each channel interaction starts fresh with no shared context.

Trust OS gives full observability into every AI decision: what triggered the response, what policy was applied, and what data was used. Every interaction is traceable end to end.

Delight.ai is ISO 42001 certified, SOC 2 Type II, HIPAA-ready, GDPR, and CCPA compliant. Trust OS adds response-level AI governance on top of standard compliance, making it well-suited for industries where every AI decision needs to be auditable.

Delight.ai runs on a single enterprise contract, predictable from day one. Per-resolution billing stacked with per-seat plans, per-channel charges, and add-ons makes total cost difficult to forecast and easy to exceed as volume grows.

Built for enterprise. Ready when you are.