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BlandAI
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Voice Assistants (26)

BlandAI Verified Tool

Bland AI provides enterprise voice agents for inbound and outbound phone workflows. Organizations should disclose automation and recording, protect caller data, test scripts and escalation and comply with telemarketing and consent laws.

Last Update: August 20, 2026

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Starting price From $0.07/min

Tool Information

Bland AI provides enterprise voice agents for inbound and outbound phone workflows. Organizations should disclose automation and recording, protect caller data, test scripts and escalation and comply with telemarketing and consent laws.

Use authorized, non-sensitive inputs and minimum permissions. Configure privacy, retention, sharing, disclosure, accessibility, export, moderation and spending controls. Test representative cases, verify facts, calculations, citations, code and generated media, preserve originals and require accountable human approval before publication or action.

Voice usage starts from $0.07 per minute, with telephony, transfers, models, enterprise capacity and support charged separately where applicable.

AI output may be inaccurate, biased, derivative, insecure or misleading. Review consent, copyright, training and retention terms, renewals, refunds, platform rules and applicable law. Health, education, security, employment and customer-facing workflows require qualified human review.

F.A.Q (3)

Bland AI provides enterprise voice agents for inbound and outbound phone workflows. Organizations should disclose automation and recording, protect caller data, test scripts and escalation and comply with telemarketing and consent laws.

Verified pricing: From $0.07/min. Voice usage starts from $0.07 per minute, with telephony, transfers, models, enterprise capacity and support charged separately where applicable.

Use authorized, non-sensitive inputs and minimum permissions. Configure privacy, retention, sharing, disclosure, accessibility, export, moderation and spending controls. Test representative cases, verify facts, calculations, citations, code and generated media, preserve originals and require accountable human approval before publication or action.

Pros and Cons

Pros

  • Builds inbound and outbound AI phone agents at enterprise scale
  • Uses speech models designed specifically for telephone conversations
  • Handles interruptions; accents; topic changes; and mid-call language switching
  • Supports more than 40 languages and real-time translation in 23
  • Provides branching Pathways with API calls and knowledge-base lookups
  • Builds agents from natural-language descriptions through the Norm interface
  • Tests large sets of scenarios before production rollout
  • Warm-transfers edge cases to humans with conversation context
  • Runs voice; SMS; iMessage; and web-chat interactions on one platform
  • Integrates with CRM; scheduling; telephony; and contact-center systems
  • Offers REST APIs; webhooks; Twilio; and SIP connectivity
  • Transcribes; scores; and makes calls searchable
  • Provides call outcomes; citations; monitoring; and configurable guardrails on eligible plans
  • Supports transcript PII redaction and configurable retention
  • Encrypts data with AES-256 at rest and TLS 1.3 in transit
  • Offers US; EU; and APAC residency plus on-premises or VPC deployment
  • Holds SOC 2 Type II; HIPAA-eligible; GDPR; and PCI-related compliance options
  • Includes LLM; speech recognition; and voice synthesis in one per-minute AI rate

Cons

  • Telephony carrier costs are billed separately from the AI minute rate
  • Human-transfer time can incur an additional per-minute charge
  • Build and Scale plans add monthly platform fees
  • Self-service tiers cap daily; hourly; and concurrent calls
  • Many safeguards; channels; warm transfers; monitoring; and compliance controls are Enterprise-only
  • BAAs; SSO; data residency; and dedicated infrastructure require enterprise contracting
  • Complex deployments can take several weeks and require forward-deployed engineers
  • Enterprise compliance documents may be available only under NDA
  • Voice agents can misunderstand names; accents; dates; consent; or emotionally complex requests
  • Human-sounding calls can deceive recipients unless AI identity is disclosed appropriately
  • Customers remain responsible for recording consent; telemarketing; privacy; and industry regulations
  • Call recordings; transcripts; identity data; and payment details are sensitive records
  • The website demo stores a transcript; summary; IP address; and device information
  • Automated identity verification can produce false accepts or false rejections
  • Knowledge bases can serve outdated or incorrect policy information
  • High concurrency can amplify a faulty prompt or integration across thousands of calls
  • A 99.9% SLA still permits downtime and does not guarantee call correctness
  • Replacing all call-center work can reduce empathy and weaken escalation judgment
  • Custom voice cloning requires consent and protections against impersonation
  • Per-minute costs can become substantial for long or poorly contained conversations

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