# Assistable vs Decagon

Decagon builds AI concierge agents for enterprise support orgs, delivered by an embedded implementation team over a multi-week rollout. Assistable is self-serve: sign up, buy a number in-app, and put an agent on a live call in minutes at $0.07/min all-in.

- **Assistable:** Assistable runs on its own carrier-grade voice stack, so there is nothing to assemble before the first call. You sign up, the platform builds your first assistant during onboarding, you buy a US or Canadian local number in-app, and the first live call happens in minutes. Immutable numbered versions with one-click rollback, warm transfers with ordered fallback hunting, timezone-aware outbound campaigns, and an LLM judge that grades every call are all in the product at published pay-as-you-go rates: $0.07/min voice all-in, $0.02 per message.
- **Decagon:** Decagon builds AI concierge agents for large enterprise support orgs and layers them onto the contact center you already run. The model is structurally different: every CTA is a demo request, docs.decagon.ai sits behind an access code, pricing is a custom quote per conversation or per resolution, and their own setup guide describes a roughly six-week phased rollout staffed by a forward-deployed Agent Development team. That depth of embedded service is the product.

## 01. Time to first live call

**Assistable:** Sign up at platform.assistable.ai and the platform creates your first assistant during onboarding, grants $10 in usage credit, and sells you a real US or Canadian local phone number in-app. The first live call happens in minutes, in one sitting, with no sales call and no engineering. Full production rollouts run 2-3 day deploys. There is no SDK to integrate, no STT/TTS/LLM providers to wire together, and no telephony account to create.

- Self-serve signup, pay as you go
- First assistant created automatically during onboarding
- $10 in usage credit and a free local phone number at signup
- US and Canadian local numbers purchasable in-app
- Full production rollouts: 2-3 day deploys

**Decagon:** Every CTA on decagon.ai is a demo request, and docs.decagon.ai requires an access code. Their own setup guide describes a roughly six-week phased rollout: discovery and sandbox, converting SOPs into AI-ready instructions, CRM and auth wiring, compliance review, then a controlled rollout to a slice of traffic. Implementation is staffed by Decagon's forward-deployed Agent Development team embedded with each customer.

## 02. Infrastructure and telephony

**Assistable:** Numbers, SIP, recordings, and call control run on the platform's own carrier-grade voice stack, so you never create a carrier account or manage SIP credentials. Bring-your-own numbers get a TLS SIP trunk provisioned automatically, with clean rollback if provisioning fails. DNC scrubbing, honeypot detection, A2P 10DLC campaign registration, and KYC review are built into the platform, and web chat, SMS, and voice share one data plane with identity resolution to a single contact record.

- US local and toll-free number search and purchase in-app, answering agent picked at purchase
- TLS SIP trunk auto-provisioned per imported number, SRTP as explicit opt-in
- Every inbound call recorded; transcript, sentiment, and itemized cost on one call row
- <500 ms latency, 0.4s median answer, 99.99% uptime SLA

**Decagon:** Decagon deliberately layers onto the contact center you already operate: the Five9 integration supports PSTN and SIP, including a pre-built SIP trunk, and passes transcripts, customer data, and intent signals to human agents. It is a coexistence model, so you keep running the CCaaS and CRM underneath it.

## 03. Version control and rollback

**Assistable:** Assistable ships the same change-control guarantees inside the builder, with no Git integration to operate. Edits autosave to a working draft while live traffic keeps executing the last published version; publishing writes an immutable numbered version, and an explicit deploy pointer decides which one serves traffic, never latest wins. Branches stage bigger rewrites and merge into Main without changing the flow id, so phone numbers, endpoints, and channels never re-point.

- Append-only version history with author on every version and a Live badge
- One-click rollback: activate any prior version and traffic moves instantly
- Branch merges republish without changing the flow id
- Publish is a role-based permission; publish and rollback are audit-logged
- Test drawer runs the draft on the production engine, showing node, model, tokens, latency, and cost per reply

**Decagon:** Decagon's Agent Versioning is substantial and published: every AOP, tool, and guideline edit is tracked as a versioned commit, manageable in GitHub or the Decagon console, with staging workspaces, approval-based deployment, branch protections, audit logs, and live A/B Experiments between production versions.

## 04. Call routing and transfers

**Assistable:** Warm transfer holds the caller on hold music, dials your team in order with up to 6 attempts and a 25-second default ring timeout per attempt, and screens every leg with answering-machine detection so voicemail never gets the call. The human hears a private briefing before bridging, static text or generated by the LLM from the live call transcript. Connected, voicemail, no-answer, and failed each route their own flow branch, and unanswered transfers can resume the AI instead of hanging up.

- Ordered fallback hunting: up to 6 dial attempts, 25-second default ring timeout each
- Answering-machine detection screens every transfer leg
- Tag rules route contacts to assistants per channel, with priority and active hours
- A per-minute sweep force-resolves stale holds so no caller sits in silence

**Decagon:** Decagon publishes inbound voice with transfers to human agents accompanied by a concise summary, and Five9 escalations carry transcripts, customer data, and intent signals to the receiving agent. Mechanics beyond that, such as fallback chains or time-based routing, live in access-gated docs, so verify them in your demo.

## 05. Outbound at scale

**Assistable:** The dial engine converges every minute: it starts scheduled campaigns, tops running ones up to their concurrency cap, and claim-first updates make double-dials impossible. Calling windows are timezone-aware with day-of-week selection and overnight wrap, retries for no-answer, busy, and failed honor the window, and a wallet at zero pauses the campaign with a stated reason instead of burning the list. You can A/B test assistants on live traffic with splits that must sum to 100 before start.

- Enroll by contact filter up to 25,000 contacts, hand-picked lists, or CSV upload
- DND skip, blacklist check, and E.164 validation on every dial
- Deficit-based A/B assignment with per-assistant answered and dialed rollups
- Outcomes reconcile seconds after hangup; CSV export and on-demand AI executive summary

**Decagon:** Decagon's Proactive Agents run outbound Missions with batch dialing, AOP-driven redial cadences, human-versus-voicemail detection, branded caller identity, and automatic SMS fallback when calls do not connect. Mission dashboards track call volume, pickup rates, and overall performance.

## 06. Observability and QA

**Assistable:** Write monitor rules in plain English and an LLM judge grades every finished call and chat against them, citing the decisive moment in the transcript with confidence. When a rule fires, the AI drafts a minimal prompt fix, shows a line diff, and proves it by replaying the failing conversation 3 times through the published flow and re-judging. Confidence is the measured pass rate, never self-reported, and auto-apply stays off by default behind hard guardrails.

- Every finished call and chat graded, not a sample
- Verdicts cite the decisive transcript moment with confidence
- Fixes proven by 3 replays through the published flow before you apply them
- Per-rule health: fire rate, drift, silence, human-overturn rate

**Decagon:** Watchtower is a real, published QA stack: natural-language flagging criteria, rubric scoring with point values tracked over time, and coverage of human agents as well as AI. It sits alongside Simulations at scale, live A/B Experiments, and Duet, which auto-generates and refines AOPs from conversation analysis.

## Side by side

### Getting live

| | Assistable | Decagon |
| --- | --- | --- |
| Self-serve signup | Yes | No |
| Time to first live call | Minutes, in one sitting | ~6-week phased rollout per their setup guide |
| Full production rollout | 2-3 day deploys | Forward-deployed team, multi-week |

### Telephony

| | Assistable | Decagon |
| --- | --- | --- |
| Buy numbers in-app | Yes | Not published |
| Bring your own numbers | TLS SIP trunk auto-provisioned | PSTN and SIP via Five9 |
| Warm transfer with ordered fallbacks | Yes | Transfer with summary; mechanics not public |
| Compliance rails | DNC scrubbing, A2P 10DLC, KYC built in | Compliance review in week 5 of rollout |

### Versioning and QA

| | Assistable | Decagon |
| --- | --- | --- |
| Version history and rollback | Yes | Yes |
| Staging without re-pointing channels | Branches merge, flow id unchanged | Workspaces (production, staging, custom) |
| Always-on QA | LLM judge grades every call and chat | Watchtower rubric scoring |
| Fix verification | 3 replays, measured pass rate | Simulations and Experiments |

### Pricing

| | Assistable | Decagon |
| --- | --- | --- |
| Model | Pay as you go, free signup | Custom quote, per-conversation or per-resolution |
| Voice | $0.07/min all-in | Not published |
| Messages | $0.02 each | Not published |
| Published rates | Yes | No |

## When Decagon is the right call

Decagon is the right call for large enterprise support organizations that want a vendor-embedded team to own a multi-week implementation. Their Git-backed Agent Versioning, staging workspaces, approval flows, and branch protections are the most engineering-serious change control in the category, and Watchtower QA monitors human agents as well as AI. Their Chime case study cites over a million calls per month at a 70% resolution rate, and the Five9 integration layers onto an existing CCaaS without rip-and-replace. If you have an enterprise budget, an existing contact center, and compliance requirements that demand structured reviews on every agent change, get the Decagon demo.

## FAQ

**What is the difference between Assistable and Decagon?**

Decagon builds AI concierge agents for enterprise support orgs, delivered by an embedded implementation team over a multi-week rollout. Assistable is self-serve: sign up, buy a number in-app, and put an agent on a live call in minutes at $0.07/min all-in.

**Is Assistable or Decagon more cost effective?**

Assistable is usage-based at $0.07 per minute for voice, all-in, and $0.02 per message, with no platform fee, no seat fees, and free pay-as-you-go signup. Decagon's published pricing model is custom quote. Assistable bundles telephony, model, and voice into one per-minute rate, so there are no per-component add-ons to reconcile.

**When should I choose Decagon over Assistable?**

Decagon is the right call for large enterprise support organizations that want a vendor-embedded team to own a multi-week implementation. Their Git-backed Agent Versioning, staging workspaces, approval flows, and branch protections are the most engineering-serious change control in the category, and Watchtower QA monitors human agents as well as AI. Their Chime case study cites over a million calls per month at a 70% resolution rate, and the Five9 integration layers onto an existing CCaaS without rip-and-replace. If you have an enterprise budget, an existing contact center, and compliance requirements that demand structured reviews on every agent change, get the Decagon demo.

**How fast can I get a live AI agent with Assistable?**

Signup is self-serve. Onboarding creates your first assistant, grants $10 in usage credit, and lets you buy a US or Canadian local number in-app, so the first live call happens in minutes without a sales call. Full production rollouts run 2-3 days.

---
Source: https://www.assistable.ai/compare/decagon