Decagon builds enterprise AI customer support agents around Agent Operating Procedures (AOPs), agent logic written in plain English by CX teams themselves. After an engineering-led setup, business users own the workflows, making it the control-oriented counterpart to Sierra's managed model.
+AOPs let non-engineers write and iterate agent logic in plain English
+Direct workflow control after initial engineering setup
+Rapid enterprise traction across support-heavy industries
Limitations
-Initial setup requires engineering involvement
-No public pricing; per-conversation costs need volume modeling
-Younger compliance/enterprise track record than CCaaS incumbents
Evidence behind this score
Each score is built from the claims below. This is a snapshot, so check the current terms with the vendor before you commit to anything.
2 of 3 claims below are past their re-check window. Pricing, availability and security details move fast, so confirm those with the vendor.
Claim
Source
Checked
Valued at ~$4.5B within two years of launch· re-check
Funding press coverage
Feb 2026
Agent Operating Procedures let CX teams write agent logic in plain English
Product documentation & press
Jan 2026
Founded 2023 by Jesse Zhang and Ashwin Sreenivas· re-check
Company announcements
Jan 2025
Intelligence on Decagon
Fundinghigh impactJul 8, 2026
Sierra raises $950M at a $15B valuation, expands into RCM
Sierra's Series E (led by GV and Tiger Global) pushes total funding past $1.5B on ~$200M ARR. Its agents now run revenue-cycle workflows between providers and payers and process insurance claims. Healthcare collections and RCM buyers should have it on the list.
Compliance layers harden for AI voice in collections
New governance products operationalize real-time TCPA, DNC and TSR compliance across collections and regulated outreach, a response to AI voice agents scaling in debt recovery. If you run AI collections calls, a documented consent-and-suppression control layer is now table stakes.
Voice AI economics rewrite the contact-center business case
Industry analyses put AI-handled calls at $0.30–0.50 versus $17+ for human contacts, a ~35x gap. Autonomous handling (Sierra, Decagon, Retell) now competes head-on with assist-layer incumbents.
Sierra and Decagon both hit $4.5B valuations in the CX agent race
The two enterprise AI-agent leaders reached $4.5B valuations within two years of launch. Sierra sells managed 'Agent OS' deployments; Decagon bets on CX teams programming agents in plain English.