Decagon (decagon.ai) is the AI customer concierge used by brands like Eventbrite, Klarna, and Substack. Strong CX focus, enterprise-priced per resolution. rpa-automate covers operations — recruiting, bookkeeping, inbox triage, voice — with outcome pricing that starts at $0 base. We're not trying to be Decagon. We're solving a different shape of buying problem.
| Feature | rpa-automate | Decagon |
|---|---|---|
| Entry pricing | $0 outcome-only | Enterprise (typically $150K+ ACV) |
| Pricing model | Per outcome shipped | Per resolution |
| Primary scope | Recruiting, AP, inbox, voice | CX / customer support |
| Time to deploy | 5 business days | 8–14 weeks typical |
| Foundation model | Claude (Sonnet + Haiku + Opus) | Multi-model |
| Hash-chained audit | Built-in | Standard logging |
| WhatsApp HITL | Native, reply-1-to-send | Not a primary channel |
| Languages | 6 (EN, AR, HI, PT, ES, FR) | Multi-lingual at scale |
| Voice agent | Included — $8/qualified lead | Available — enterprise pricing |
| Self-serve trial | Yes — outcome plan | No — sales-led |
| Best buyer | Founder, COO, CFO, Head of Talent | VP Customer Experience |
| Typical company size | 10–500 employees | 1000+ with consumer scale |
Decagon's positioning is sharp: AI concierge for consumer-brand customer experience. Their case studies (Klarna, Eventbrite, Substack, Bilt) speak to that. Deep ticket integration, brand-voice fidelity, escalation handling, multi-lingual at scale.
We don't compete in that lane. We're the agent platform for the rest of the company: hiring, finance, ops. The agents that ship measurable work in 5 days and bill per outcome.
Decagon's buyer is the VP of Customer Experience at a consumer brand with hundreds of millions in revenue. The motion is enterprise: discovery, evaluation, pilot, security review, contract, implementation, go-live. 8-14 weeks.
Our buyer is the founder, COO, CFO, or Head of Talent at a 10-500 person company. The motion is fast: 3-minute audit, $0 outcome plan, agent live by Friday. Different game.
Decagon's per-resolution model is well-designed for CX at scale: charge when a ticket closes without human escalation. With millions of tickets, that math compounds — and the enterprise commit absorbs the implementation cost.
We charge per outcome with no minimum. $0.50 per invoice. $25 per intro accepted. $8 per qualified lead. $500 per hire. The math is identical in spirit (pay for results), but the entry point is accessible — and the outcomes span ops, not just CX.
Not publicly disclosed. Industry sources suggest typical annual contracts in the $150K-$1.5M range based on resolution volume. Our outcome pricing is fully published on /pricing.
Our inbox triage agent handles support email at moderate volume (low hundreds per day per tenant). For Decagon-scale tier-1 ticket resolution (10K+/day, brand-voice consistency, deep Zendesk integration), Decagon is the stronger pick.
Decagon offers voice as part of their enterprise stack. Our voice agent (rpa-automate.com/agents/voice) is sub-second latency on Twilio + Claude Haiku, $8/qualified lead, 6 languages, designed for inbound qualification — not high-volume CX.
Our agents learn voice from your past sent mail (inbox triage) and outbound (recruiter). For 95% of customers this is sufficient. For consumer brands needing pixel-perfect voice consistency across millions of interactions, Decagon's depth is a real advantage.
Our 3-minute audit asks 6 questions about your current process, calculates monthly cost, and recommends the right model — including Decagon if that's the honest answer.
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