Intercom Fin vs Decagon vs Sierra: AI Support Agents in 2026
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Intercom Fin vs Decagon vs Sierra in 2026 - leading autonomous AI support agents compared on resolution, channels, pricing model and outcome scoring, with a pick for Indian teams.
Short answer: Intercom Fin if you are (or could be) on Intercom and want a proven resolver with transparent per-resolution pricing. Decagon for deep, procedure-driven autonomous resolution across chat, email and voice. Sierra for outcome-based pricing and broad channels including voice and SMS. On our tool rubric Fin and Decagon score 3.8, Sierra 3.6 - but for agents the dimension that matters most is Outcome: does it actually resolve the ticket.
Proven resolution and clear pricing - Intercom Fin
Fin is the most benchmarked of the three: about 76 percent average resolution across 12,000+ customers, with many seeing 85 percent or more. You pay per resolution on top of Intercom helpdesk, which keeps cost tied to value - ideal if you are already in or open to the Intercom ecosystem. In our Agent Scorecard it earns a strong Outcome score on third-party-corroborated data.
Procedure-driven autonomy - Decagon
Decagon resolves across chat, email and voice using natural-language Agent Operating Procedures - you describe the process and it executes, which suits complex, policy-heavy support, with deep backend integration. Specific resolution figures are largely vendor-reported, so we score its Outcome conservatively and flag the evidence basis.
Outcome-based pricing and channels - Sierra
Sierra spans chat, voice, email and SMS with outcome-based pricing, aligning spend with results - good for CX orgs that want voice and messaging under one agent. Also vendor-reported on outcomes, flagged accordingly.
How agents are scored here
Unlike a plain tool, an agent lives or dies on Outcome - resolution and deflection rate, accuracy, autonomy and cost per resolved ticket. Our Agent Scorecard weights Outcome double and only lists agents that clear an Outcome floor, weighting independent benchmarks above vendor numbers (which we flag). That is why Fin corroborated ~76 percent matters more than a glossy demo.
Which should you pick?
Already on or near Intercom and want pay-per-resolution: Fin. Complex, procedure-heavy resolution across channels: Decagon. Outcome-priced CX with voice and SMS: Sierra. Just starting or want open-source: consider Chatwoot (4.2, self-hostable) or Botpress (4.0).
For Indian builders
Two things matter: WhatsApp and languages. For India-first support, look hard at India-built, WhatsApp-strong, multilingual platforms - Kommunicate, Verloop.io, Yellow.ai and Jio Haptik - alongside the global agents above. Watch per-resolution and outcome pricing in INR terms at your ticket volume, and confirm Indian-language coverage.
How we score
Each tool is rated 1 to 5 on actual utility, ease of use, pricing fairness, reliability and differentiation; the CloudKart score is the average, never for sale.
Frequently asked questions
Which AI support agent resolves the most tickets? On corroborated data, Intercom Fin (about 76 percent average, many 85 percent or more). Decagon and Sierra report strong results too, but largely vendor-reported.
Which has the fairest pricing? Fin (per resolution) and Sierra (outcome-based) both tie cost to results; Decagon is typically enterprise or custom.
Best for Indian teams on WhatsApp? Consider Kommunicate, Verloop.io, Yellow.ai or Jio Haptik for India-built, multilingual, WhatsApp-native support.