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Decagonvs Callvu
Decagon builds AI agents that resolve customer service conversations across chat, voice and email, following natural-language procedures backed by code, and taking actions such as payments and payment plans. Callvu is the Completion and Compliance Layer: when a conversation becomes a regulated process, Callvu runs it end to end through the back office to the system of record with a deterministic orchestrator, enforcing every regulation on every step. A Decagon agent can be one of the doors where a Callvu process starts.
At a glance
Runtime compliance enforcement
Front-to-back-office handoff
The fair version
What Decagon is built for.Sourced from their own pages.
Decagon builds AI agents for customer service across chat, voice and email [1] and raised a Series D in January 2026 [4]. Agents follow Agent Operating Procedures: workflows written in natural language and backed by code, with tools for API calls and data lookups [2], which Decagon says ensure critical actions are executed correctly [10]. Its voice agents handle many languages and transfer to a human with a summary [6]. Testing covers simulations and auto-generated tests [5], Watchtower reviews every conversation against custom criteria [9], and Trace View shows each turn's decisions step by step [11]. Agents take payments and set up payment plans, and Decagon says FDCPA, TCPA, UDAAP and Reg F are enforced natively, with contact caps, calling hours and suppression rules [12]. For financial services it lists read-and-write connections to FIS, Fiserv and Jack Henry cores and to nCino, and describes agents that verify identity against the core, resolve disputes and collect documents during account opening [13]. Browser Actions, launched in August 2026, lets agents work in web-based systems that have no API, logging every step [14]. Customers include Chime [8], Cash App and Varo [13] and mortgage servicer Valon [7]. Decagon lists security certifications on its security page [3].
When to choose which
Two different jobs.Pick the one you need.
When to choose Decagon
Choose Decagon when the goal is resolving a high volume of customer service conversations autonomously across chat, voice and email [1][6], with procedures your team writes in natural language and engineers back with code [2], and with testing and conversation review built in [5][9]. It fits consumer fintechs and servicers handling routine requests at scale, such as Chime and Valon [7][8].
When to choose Callvu
Choose Callvu when a conversation becomes a regulated process that must reach the back office and the system of record. Callvu orchestrates the work, routes it by work type, skill and due date, applies rules and policies and manages every decision, and it runs the handoff in the same process with five moves: it prefills from what the core already knows, classifies each request the moment it lands, chases and verifies documents from customers and outside parties on a clock, routes decisions to the Decision Desk, and writes the result back by API.
Guardrails are not runtime enforcement. Decagon's agents take payments and set up payment plans [12], following natural-language procedures backed by code [2], with guardrails and a supervisor model checking their output [3]. Code-backed steps make individual actions reliable, but the AI still interprets the procedure and adapts each step as it goes [10]. Even with guardrails, an AI that runs the process can write wrong data to the system of record, take a path that is not in the workflow, or act compliantly most of the time rather than every time. Callvu does not let AI run the process. A deterministic orchestrator decides every next step and enforces every control before the step runs; AI, yours or Callvu's, only starts a process or evaluates it. Every run is recorded in a Decision Trace and an Audit Trace.
Side by side
The verifiable facts.Nothing else.
Every cell about Decagon is sourced from its own public pages. Runtime enforcement and the handoff lead the table because they are where the two differ most.
| Capability | Decagon | |
|---|---|---|
| Primary role | Completion and Compliance Layer between every front door and the system of record | AI agents for customer service conversations across chat, voice and email [1] |
| Runtime compliance enforcement | Yes. A deterministic orchestrator runs every step and decides the path; AI never runs the process. Every regulation and company policy is enforced on every step while the work runs, whether a person or an AI started it; a step that fails a control does not run. A Decision Trace and an Audit Trace for every run | Partial. Code backs critical steps inside natural-language procedures, and Decagon says FDCPA, TCPA, UDAAP and Reg F are enforced natively for collections; the AI agent interprets the procedure and adapts each step within branches your team defines, with guardrails and a supervisor model checking its output [12] |
| Front-to-back-office handoff | Yes, end to end: prefill from the core, classify the work, chase and verify documents, route decisions to the Decision Desk and write back to the system of record. Back-office planning starts the moment the front end starts | Partial. Agents read and write to connected systems, including FIS, Fiserv and Jack Henry cores, collect documents during account opening, act in web-based systems through Browser Actions and transfer to a human with a summary. Document verification on a clock, a decision workspace for reviewers and enforcement of every rule on every step are not documented [13] |
| AI guardrails vs deterministic execution | Deterministic execution, not guardrails: AI never runs the process. A deterministic orchestrator executes every step and enforces every control before it runs, so nothing unchecked reaches the system of record and no step outside the workflow can happen | AI agents take payments and set up payment plans, within AOPs, guardrails and a supervisor model [12] |
| Quality and evidence | Every action assessed before it runs by six evaluator agents, whether a person or an AI started it, with an immutable Decision Trace and Audit Trace pushed in real time to GRC and BI tools | Pre-launch simulations and tests, Watchtower review of every conversation, and Trace View of each turn's decisions [9] |
| Regulatory content | Callvu Studio comes with most regulations already loaded as policies for every vertical it serves; your SOPs are enforced the same way | For collections, Decagon says FDCPA, TCPA, UDAAP and Reg F are enforced natively, with contact caps such as Reg F's 7-in-7 limit, local calling hours and suppression rules [12] |
| Integrations | Fiserv, FIS, Jack Henry, CSI, Corelation (KeyStone), Finastra, nCino, MeridianLink, insurance cores, telco BSS, Genesys and NICE CXone; more added per customer | Read-and-write connections to FIS, Fiserv and Jack Henry cores, nCino, CRMs, CCaaS platforms, identity and payments providers, plus Browser Actions for web-based systems without an API [13] |
Using both together
Keep what works.Add the layer that finishes it.
Decagon stays the conversation layer. When a support conversation turns into a regulated request, the Decagon agent starts a Callvu process, in the backend over MCP or by handing the customer a prefilled, process-controlled screen for consent and signature. Callvu runs the back-office work and the write back to the system of record. Callvu can also run the whole process on its own, from any door.
Proof
Live in production.At regulated enterprises.
FAQ
The questions buyers ask.Answered plainly.
Does Decagon enforce compliance at runtime?
Can a Decagon agent start a Callvu process?
Are code-backed AI agent procedures the same as deterministic execution?
What are alternatives to Decagon for a bank or credit union?
How fast can Callvu go live behind an AI agent?
Sources
Every claim,sourced.
- https://decagon.ai
- https://decagon.ai/product/aop
- https://decagon.ai/security
- https://www.businesswire.com/news/home/20260128580542/en
- https://decagon.ai/product/testing-qa
- https://decagon.ai/product/voice
- https://decagon.ai/case-studies/valon
- https://decagon.ai/case-studies/chime
- https://decagon.ai/product/watchtower
- https://decagon.ai/blog/from-sops-to-agent-operating-procedures
- https://decagon.ai/blog/decagon-trace-view
- https://decagon.ai/blog/a-better-payment-experience-from-reminder-to-resolution
- https://decagon.ai/industry/financial-services
- https://decagon.ai/blog/browser-actions
Last verified: 2026-11-05. Facts about other vendors come from their public pages, filings and press, as of that date. Vendor names are trademarks of their owners. To report an error, contact Callvu.
See it on your process.
Bring one regulated process. We will show you the handoff and runtime enforcement on it.