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