Voice and chat service agents
Handle customer requests across voice and chat, using structured workflows for authentication, required disclosures, policy adherence, and actions in connected systems.
Observe.AI
AI agents for customer service, frontline assistance, and contact center operations
Observe.AIとは？
Observe.AI is a customer experience platform that combines AI agents for customers, frontline teams, and contact center operations. It supports voice and chat service automation, assistance during live conversations, and interaction analysis for quality assurance and coaching.
The platform connects these functions through shared data, context, and workflows. Teams can build agents from existing procedures, connect them to business systems, and review and test changes before releasing them to customers.
Observe.AIでできること
Real-time frontline assistance
Provide personalized context, next-best actions, and automated actions during customer interactions to help frontline teams carry out service procedures.
Interaction evaluation and coaching
Evaluate interactions, generate coaching, and surface operational trends. The platform supports evaluation across 100% of interactions and real-time performance tracking.
Plain-English agent creation
CoBuilder reads policies, knowledge bases, and process documents to draft agent flows, decision branches, data requirements, and compliance checkpoints. Teams refine drafts in an isolated Safe Workspace.
Durable workflows and integrations
Connect through 250+ pre-built integrations, open APIs, and Model Context Protocol support. Multi-step jobs run alongside conversations with retries, timeouts, fallbacks, and resumable state.
Governed agent releases
Agent Harness supports versioning, simulated conversation testing, reviewer approval, and incremental release. Tool access follows defined permissions, and workflow steps are logged for auditing.
利用シーン
“Complete service tasks across systems”
Use account state, eligibility, or order history during a conversation, then process a refund, file a claim, or schedule a callback. Background jobs can continue after the customer hangs up.
“Turn procedure updates into agent drafts”
CX leads, QA managers, and operations teams can translate revised SOPs into agent behavior, refine decision logic in plain English, and submit a tested version for approval.
“Prioritize quality improvement”
Contact center leaders can use interaction evaluations and trends to identify recurring service issues and direct coaching toward the behaviors that need attention.
よくある質問
How long does deployment typically take?
Observe.AI states that most teams move from initial setup to production in one or two months, using pre-built workflows, integrations, and testing tools.
Can teams connect internal systems beyond the pre-built integrations?
Yes. Open APIs and Model Context Protocol support allow connections to internal and third-party systems beyond the pre-built connector catalog.
Can CoBuilder changes go directly into live customer traffic?
CoBuilder generates workspace drafts isolated from live traffic. Versions go through testing and reviewer approval before release to real customers.
What data protection controls does the platform describe?
Observe.AI describes end-to-end encryption, PII redaction, and data-access controls for its integrations, alongside permissioned tool calls and auditable workflow steps.
クイック情報
- Product category
- AI customer experience platform
- Primary users
- Contact center leaders, frontline teams, CX leads, QA managers, and operations teams
- Customer channels
- Voice and chat
- Integration coverage
- 250+ pre-built integrations
- Website
- https://observe.ai
Observe.AI のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- 月間訪問数
- 8.3万
- 世界ランキング
- #316,399
- 直帰率
- 31.9%
- 平均滞在時間
- 02:19
- 訪問あたりのページ数
- 6.03
- ドメイン評価
- 72
トラフィック推移
| 5月 | 91300 |
|---|---|
| 6月 | 95558 |
| 7月 | 83075 |
トラフィックソース
トラフィック分析データはまだありません。
主な地域
- 不明: 29.6%
- 不明: 25.5%
- 不明: 11.4%
- 不明: 8.87%
- 不明: 5.56%
- 不明: 19.0%
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