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Bottr
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Personal Assistants (69)

Bottr Verified Tool

Bottr presents an enterprise AI-agent platform and operating system for building connected assistants and automated workflows. Organizations should restrict permissions, protect integrated data, test tool use and require confirmation for consequential external actions.

Last Update: August 20, 2026

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Starting price Custom pricing

Tool Information

Bottr presents an enterprise AI-agent platform and operating system for building connected assistants and automated workflows. Organizations should restrict permissions, protect integrated data, test tool use and require confirmation for consequential external actions.

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.

The official site uses enterprise contact-led pricing without a stable public starting amount. Agents, integrations, users, deployment and support determine custom pricing.

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)

Bottr presents an enterprise AI-agent platform and operating system for building connected assistants and automated workflows. Organizations should restrict permissions, protect integrated data, test tool use and require confirmation for consequential external actions.

Verified pricing: Custom pricing. The official site uses enterprise contact-led pricing without a stable public starting amount. Agents, integrations, users, deployment and support determine custom pricing.

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

  • Provides an enterprise AI operating system for deploying task-specific agents
  • Supports customer service; document intake; HR; finance; IT; sales; legal; healthcare; and compliance workflows
  • Uses a shared resource layer across multiple agents
  • Supports GPT; Claude; Gemini; Llama; Kimi; DeepSeek; and bring-your-own-key configurations
  • Lets teams switch the model assigned to an agent
  • Deploys in cloud; private VPC; on-premises; or air-gapped environments
  • Connects SaaS applications; databases; internal APIs; knowledge bases; and files
  • Lists more than 100 integrations
  • Supports OAuth; API keys; and custom connectors
  • Offers a no-code visual editor and a REST API
  • Includes an embeddable chat widget
  • Provides role-based access control; audit logs; retention controls; and analytics
  • Lets users create multiple assistants under the appropriate plan
  • Publishes agents through a shareable URL; widget; or API
  • Can add files and URLs to a knowledge bot
  • Provides ongoing optimization and team upskilling services
  • States that multimedia content is deleted after 30 days
  • Acknowledges in its help material that AI output can be inaccurate and needs verification

Cons

  • Current enterprise pricing is not published on the main site
  • Claims such as 70% faster tickets or 95% extraction accuracy need validation on the buyer's own data
  • A promised setup under 30 minutes is unlikely for governed enterprise integrations
  • On-premises and air-gapped deployments still require infrastructure; upgrades; monitoring; and skilled administrators
  • Connecting more than 100 systems creates a large permission and secret-management surface
  • Shared resources can leak information across agents if access boundaries are misconfigured
  • Model switching can change output quality; safety behavior; context limits; and costs
  • Bring-your-own-key arrangements transfer billing and key-security responsibilities to the customer
  • No-code configuration does not eliminate workflow; schema; or security testing
  • Document-processing agents can extract the wrong value while still producing valid-looking output
  • Agents that update claims; tickets; finance; or member records require approval gates and auditability
  • Knowledge sources become stale unless ownership and refresh schedules are defined
  • Embedding an assistant can expose it to prompt injection and automated abuse
  • The privacy policy says user content may be used to improve services; including training models
  • Account; payment; transaction; and conversation data may be processed by vendors
  • The terms allow the company to change; suspend; limit; or discontinue features
  • Unlimited usage is subject to a fair-use policy
  • AI outputs may be similar to content generated for other users and are not guaranteed unique
  • The service requires human review for legal; healthcare; finance; and compliance decisions
  • Multimedia deletion after 30 days may conflict with investigation or recordkeeping needs
  • Enterprise buyers need contractual clarity on residency; subprocessors; backups; deletion; SLAs; and incident response
  • Published customer metrics and testimonials are vendor-reported rather than independently audited

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