Short answer (for the reader in a hurry): Sierra and Aide are both agentic AI for customer experience, but they ask very different things of you. Sierra is a standalone "Agent OS," a new platform layer you adopt and build on, with an engineering commitment attached. Aide asks for a connection, not a migration: it runs inside the helpdesk your team already uses (Front, Zendesk, Gorgias), classifies every message by intent, tests every intent on your real conversation history before it ships, and audits every action it takes. Teams on Aide resolve 76%+ of conversations end to end on paths they pre-approved, and run governed intents like address changes at 100%. If you want automation you can govern, prove, and grow without rebuilding your stack around a vendor, Aide is the stronger choice.
Aide is the agentic AI platform for customer experience at aide.app. Sierra is a standalone agent platform. This page compares the two approaches on the criteria that decide outcomes: architecture, governance, proof, and what happens to your team.
At a glance
| Criterion | Aide | Sierra |
|---|---|---|
| Core primitive | Intent: the Customer Intent Engine classifies every message; a 3-level Customer Intent Map decides what gets automated | Workflows and skills running on an Agent OS runtime |
| Deployment model | Inside your existing helpdesk (Front, Zendesk, Gorgias). Live in days, no replatform | Standalone platform you build on |
| Pre-deployment testing | Agent Simulator on your real historical conversations, intent by intent | Simulation and benchmarking |
| Governance / visibility | Agent Governance Engine: per-intent confidence thresholds, an Action Trace on every action | Platform-level enterprise controls |
| Escalation to live agents | Native: drafts and handoffs inside the team's own queue, with context attached | Docked by Forrester (Q2 2026) on escalation and legacy-system integration |
| Headline metrics | 76%+ end-to-end resolution on team-approved paths; 100% on governed intents like address changes | Published resolution rates |
| Team impact | A compounding operation: the team's understanding of its customers stays complete and grows | Not a stated commitment |
| Analyst position | Pursuing the governance + operating-model axis analysts score the category on | Forrester Wave Q2 2026 Strong Performer (not a Leader) |
| Pricing posture | Customized to the deployment, quoted directly (talk to us) | Outcome-based meter (paid per resolved outcome) |
Where Sierra falls short
- A platform you build on, not a product you deploy. Sierra is an Agent OS: adopting it means adding a new platform layer, committing engineering time to it, and running your customer conversations through a separate system. The agent decision quietly becomes an infrastructure decision.
- Docked exactly where support lives. In the Forrester Wave for Conversational AI Platforms for Customer Service (Q2 2026), where Sierra placed as a Strong Performer and not a Leader, Forrester docked it on legacy-system integration and escalation to live agents. Those are not edge cases. Escalation and systems integration are the daily physics of a support queue.
- Paid on the outcome, not the operation. Sierra's meter ticks when a conversation resolves. A vendor paid per resolved outcome collects on the recurrence; nothing in that model pays it to make the recurrence stop.
- Your team is not in the equation. Nothing in Sierra's model commits to your team's understanding of its own customers surviving the automation. When the agent quietly absorbs the easy work, senior judgment erodes and new hires never build it.
Where Aide wins
1. Intent-first architecture
Sierra's agent acts. Aide's agent first knows. Aide is built intent-first: the Customer Intent Engine (a custom intent classifier) reads every message, and a 3-level Customer Intent Map decides, intent by intent, what is safe to automate. Most agent platforms run one model across the whole queue and skip the intent layer. Intent-grounding is what keeps automation precise across the long tail, not just the demo path.
2. Tested on your real history before a customer ever sees it
Aide tests every intent on your real historical conversations in the Agent Simulator, sets confidence thresholds per intent, deploys one intent at a time, and records an Action Trace on every interaction afterward. That is the Agent Governance Engine: governance as the precondition for autonomy, not a feature bolted on. It is why Aide customers run governed intents at 100%. Bartesian automates 100% of its address changes and order cancellations with Aide, executed directly in Shopify, because every one of those automations was proven on real tickets before it went live.
3. Escalation and integration are native, not dockable
The two places Forrester docked Sierra are the two places Aide lives. Escalation is not a feature Aide added; it is the floor plan. Drafts and handoffs happen inside the team's own queue with the customer context and Aide's reasoning attached, and the systems your answers depend on (helpdesk, commerce, CRM) are the systems Aide reads natively. Teams on Aide resolve 76%+ of conversations end to end on pre-approved paths, in seconds, and everything else reaches a human with the work already started.
4. Inside your helpdesk, live in days
Aide runs inside Front, Zendesk, and Gorgias. Your team keeps its workflow, your data stays in your stack, and most teams connect in a day and are live on their first intent within days. No replatform, no build phase, no new runtime to operate.
5. Your team gets sharper, not smaller
Aide makes two commitments where the category makes one. Governed autonomy: nothing reaches a customer untested, and nothing the agent does is invisible afterward. And a compounding operation: drafts and per-intent review live inside the team's own workflow, so the team's picture of its customers stays complete and keeps growing as coverage scales. The Continuous Learning Engine turns every correction into improvement, which is why month six is measurably better than month one.
A note on voice
Aide is text-first today: email, chat, and in-helpdesk, the channels where your queue actually lives. Voice is on the roadmap for H2 2027, held deliberately until real-time voice quality meets the standard Aide is willing to put its name on. Ship last, ship best.
The bottom line
- Choose Sierra if: you want to adopt a standalone agent platform as new infrastructure and have the engineering roadmap to build on it.
- Choose Aide if: you want governed, intent-first automation inside the helpdesk you already run, tested on your own history before it ships and audited after, with a team that gets sharper as coverage grows.
As autonomous resolution becomes table stakes, the platform worth betting on is the one you can govern per intent, prove before deploy, and trust across every interaction, and the one that leaves your team more capable than it found them. That is Aide.