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AI customer support , by Sierra (Bret Taylor, Clay Bavor) , since 2023

Sierra

Enterprise conversational AI agent platform from Bret Taylor, sold on outcome-based pricing

Pricing Paid not disclosed
Free tier No
Platforms
  • WEB
  • API
Our score 6.7/10

What Sierra does

Sierra builds and deploys custom AI agents for large enterprise brands (Rocket Mortgage, SiriusXM, Vanguard, Uber, Wayfair) to handle customer service and, per its own positioning, drive revenue growth beyond pure support. Founded by ex-Salesforce co-CEO Bret Taylor and Clay Bavor in 2023, it's built for large brands with dedicated implementation budgets rather than self-serve teams, and is sold exclusively through enterprise sales with no public plans or free trial.

What you get: Ghostwriter no-code/low-code agent builder, Outcome-based pricing model, Insights performance analytics dashboard, Omnichannel deployment (chat, voice, email), Custom brand-voice agent design, Enterprise-grade integrations and security, Revenue-generation-oriented agent workflows (not just support deflection).

Typical jobs: enterprise AI customer service agent for Fortune 500 brands; AI agent that also drives sales/revenue during support; outcome-based pricing AI support vendor; custom conversational AI for regulated industries (finance, telecom).

Worth knowing: Pricing not disclosed on site, fully custom enterprise sales, no self-serve or trial; third-party reports place typical annual contracts around $150K+ with setup fees on top.

What users complain about: Reviewers cite cost uncertainty given undisclosed pricing, a steep learning curve for new admins, and configuration changes that require going through Sierra's team rather than being self-serve. (G2 pros-and-cons summary)

Pricing and plan limits

Verified August 2026
Plan Monthly Annual (per mo) Limits
Custom (Enterprise) not disclosed n/a outcome-based pricing (~$1.50 per resolved interaction per third-party estimates); annual contracts reportedly start around $150,000 with setup fees $50,000-$200,000

Where it wins

  • High-profile enterprise customer base and rapid revenue growth (reportedly ~$100M to ~$200M ARR within about a year)
  • Outcome-based pricing model philosophy means Sierra is paid only for resolutions delivered, aligning incentives with the buyer
  • Backed by major funding ($1.6B+ raised, $15.8B valuation) giving it long runway for R&D
  • Purpose-built for complex, brand-specific agent workflows beyond simple FAQ bots
  • Strong reported CX outcomes at reference customers (financial services, telecom, travel)

Where it falls short

  • Zero pricing transparency, no plans, no trial, and reportedly $50,000-$200,000 in setup fees alone before ongoing usage costs
  • Total first-year cost estimated at $200,000-$350,000+ once implementation and professional services are included, out of reach for all but large enterprises
  • Reviewers note a steep learning curve and initial complexity that slows productivity after go-live
  • Many configuration changes require Sierra's own team rather than self-service, slowing iteration cycles
  • Some users report the AI can lose context in extended multi-turn conversations, repeating itself or defaulting to generic answers

How we scored it

Full methodology
Criterion Weight Score Contribution
Capability 30% 8.8 2.64
Value for money 25% 5.0 1.25
Ease of use 15% 6.0 0.90
Maturity 15% 6.0 0.90
Support & docs 10% 5.5 0.55
Momentum 5% 9.5 0.48
Weighted total 100% 6.7 6.70

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