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Sierra vs Workato Comparison

Compare Sierra vs Workato features, pricing, and more.

Last updated: November 2026

Sierra logo

Sierra

7.4/10

Winner

Sierra is an enterprise conversational AI platform that builds and runs customer service agents across chat, voice, SMS, WhatsApp and email.

Workato logo

Workato

6.8/10

Workato is an enterprise platform for integration, automation and AI agents. It connects business apps and data and runs governed AI agents called Genies.

Feature-by-Feature Comparison

Feature
Sierra logo
Sierra
Workato logo
Workato
Scores
Overall Rating7.4/106.8/10
Integration8/109/10
Analytics8/107/10
Customization9/108/10
Ease of Use7/106/10
Support8/107/10
Cost2/102/10
Scalability9/108/10
Security9/109/10
Output Quality9/107/10
Pricing
Free planNoNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersContact for pricingContact for pricing
Features
AI Agents
Chatbots
Enterprise Controls
Knowledge Base Search
Workflow Automation
API AccessNot listed
Private DeploymentNot listed
Text GenerationNot listed
Voice and AudioNot listed

Which One Should You Choose?

Sierra logo
Why choose Sierra

  • Higher Output Quality score (9/10 vs 7/10)
  • Higher Analytics score (8/10 vs 7/10)

Workato logo
Why choose Workato

  • Higher Integration score (9/10 vs 8/10)
  • Better fit for mid-market (7/10 vs 5/10)
  • Better fit for small business (3/10 vs 1/10)

Pros & Cons

Sierra logo
Sierra

Pros

  • Outcome-based billing means customers usually pay only for resolved conversations or other agreed results, not for each seat.
  • Three build options cover both CX teams and engineers: the no-code Agent Studio, the code-first Agent SDK, and Ghostwriter for building agents from SOPs.
  • One agent runs across chat, voice, SMS, WhatsApp, email and ChatGPT, keeping context between channels.
  • Its list of compliance attestations is broad, covering SOC 2, ISO 27001, ISO 42001, HIPAA, PCI DSS and FedRAMP.
  • It has a strong roster of enterprise customers, including SiriusXM, ADT, Rocket Mortgage and SoFi.

Cons

  • There is no public pricing, and competitor estimates put annual contracts at about $150,000 or more.
  • There is no self-serve or trial tier, so small teams cannot try it on their own.
  • Implementation is largely vendor-led, which can make customers depend on Sierra's team for changes.
  • There are few public reviews (7 on Gartner Peer Insights) to verify claims against.
  • Some reviewers say voice quality still falls short of human level, and that complex telephony setups depend on how far the integration goes.

Workato logo
Workato

Pros

  • The library of more than 1,200 pre-built connectors lets AI agents act across many enterprise systems.
  • Governance controls built into the platform: RBAC, hourly key rotation, audit logs and guardrails that limit agents to approved skills.
  • On-prem gateways and Virtual Private Workato support hybrid and private environments.
  • Every edition includes unlimited workspaces and users, so costs do not rise with each new builder.
  • MCP servers let external assistants such as Claude and ChatGPT act on enterprise apps with controls in place.

Cons

  • No public list prices, and third-party data puts the median contract at about 64,500 USD a year.
  • Usage metering is hard to predict, and reruns count toward consumption.
  • The Standard and Business MCP editions are limited to one concurrent job.
  • Agent Studio and the knowledge base require the top Workato ONE edition.

Not sold on either?

Frequently Asked Questions

Sierra scores higher on our AI Software criteria: 7.4/10 against 6.8/10 for Workato. The largest gap is in Output Quality: 9/10 for Sierra and 7/10 for Workato.

No, neither Sierra nor Workato lists a free plan.

Workato is the better fit for mid-market: we rate it 7/10 for them, against 5/10 for Sierra.

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