按需付费 - AI Model Orchestration and Workflows Platform
到 2026 年，人工智能平台将改变企业运营。目前，75% 的知识工作者每天都在使用人工智能，全球生产力每年增长 1.5%，企业正在转向可扩展、安全且经济高效的解决方案来满足其运营需求。本指南回顾了三个顶级平台 - Prompts.ai、Workato 和 Vellum AI - 评估它们在可扩展性、互操作性、工作流程自动化和治理方面的优势。
每个平台都解决了独特的企业挑战，从降低成本到扩展人工智能运营。您的选择取决于财务效率、系统集成还是开发速度是否是您的首要任务。
企业人工智能平台比较：Prompts.ai vs Workato vs Vellum AI
Prompts.ai 将超过 35 种顶级大型语言模型（例如 GPT-5、Claude、LLaMA 和 Gemini）汇集到一个安全且统一的平台中。它旨在满足大型企业的苛刻需求，解决工具蔓延、治理和人工智能软件成本高昂等挑战，节省高达 98% 的成本。该平台由艾美奖获奖创意总监 Steven P. Simmons 创建，是从财富 500 强公司到创意机构等各种组织的理想选择，可在不影响灵活性或安全性的情况下提供集中控制。其优势在于可扩展性、无缝集成和工作流程自动化。
Prompts.ai 通过与 Azure、AWS 和 Google Cloud 等云服务深度集成，使企业能够轻松扩展运营。它还与 CRM、ERP、ITSM、HRIS 和数据仓库顺利连接。通过支持代理 RAG（检索增强生成）模式，它使公司能够从实验性 AI 模型过渡到能够管理大量数据的功能齐全的解决方案。
The platform’s advanced integration frameworks allow businesses to deploy AI solutions across their existing systems without requiring costly infrastructure changes.
Prompts.ai 专注于代理自动化，以最少的人力输入简化手动工作流程。通过专家设计的融入最佳实践的提示工作流程，组织可以显着提高生产力。
Prompts.ai 通过嵌入实时 FinOps 层来超越运营效率，该层提供对代币使用情况的详细跟踪、生成可操作的见解并将人工智能费用直接与业务成果联系起来。这确保了人工智能交互的全面可见性，并得到全面审计跟踪的支持。该平台没有使用传统的订阅费，而是使用即用即付的 TOKN 信用系统，使成本与实际使用情况保持一致并防止超支。核心级别的起价为每位会员每月 99 美元，精英级别（专为创意团队量身定制）的价格为每位会员每月 129 美元。
Workato 连续七年被评为 Gartner iPaaS 魔力象限领导者。到 2026 年，它将继续定义企业 AI 工作流程编排的黄金标准。该平台为一半的财富 500 强企业提供服务，在 Gartner Peer Insights 上获得了令人印象深刻的 4.9/5 评级，客户一致称赞其平台功能、定价和协作方法。 Workato 从传统的集成平台过渡到强大的企业编排平台 (EOP)，可实现人类、人工智能代理和系统之间的无缝、实时协调。
Workato’s cloud-native serverless architecture ensures automatic scaling of its containerized runtimes. A prime example of this scalability is Atlassian’s ERP transformation, which wrapped up in just nine months - 40% faster than the anticipated 15 months. This project tackled over 1,000 business requirements, 2,800 ERP test cases, and 73+ new integrations. The platform’s Enterprise MCP (Model Context Protocol) framework connects large language models to more than 12,000 applications via hundreds of managed, high-availability MCP servers. This setup allows organizations to deploy AI agents at scale without compromising performance. With a 99.9% uptime guarantee and 775 updates rolled out in a single year, Workato remains deeply committed to its AI-native roadmap. Such scalability ensures smooth interoperability across even the most complex system landscapes.
Workato excels in universal connectivity with its 1,200+ pre-built connectors and a vast community library of 400,000+ recipes, enabling effortless integration across modern SaaS tools like Salesforce and Workday, on-premises ERPs such as SAP, legacy mainframes, and data lakes including Snowflake and Redshift. This extensive library is actively utilized by over 70,000 members. Its Agent Orchestrator manages a diverse mix of agents, including those from SaaS vendors, major platforms like Google and Microsoft, and custom-built agents created with tools like LangChain. For applications lacking native support, Workato offers a Connector SDK to build tailored integrations. For instance, ThredUp leveraged this flexibility to reduce its Total Cost of Ownership (TCO) by 53% while accelerating development speed by 5–6 times compared to its previous solution.
Workato’s Workato AIRO™ (AI-driven, Intent-based, Real-time Orchestrator) empowers users to design, test, and deploy intricate multi-app workflows using natural language. This innovation moves beyond traditional static data pipelines to what Workato terms "agentic orchestration" - where AI agents, people, and systems collaborate to address complex, non-linear workflows. The Agent Studio provides a low-code interface for creating enterprise-grade agents, equipped with specific business logic and knowledge bases. Users also gain access to over 635,000 "Enterprise Skills" contributed by the Workato community. Additionally, prebuilt AI agents, known as "Genies," are available for tasks like HR onboarding and Sales CPQ, delivering rapid returns on investment. These advancements drive greater agility and transparency in enterprise operations.
Workato prioritizes governance and cost control to meet the demanding compliance and financial needs of enterprises. The Agent Trust framework ensures robust governance with patented role-based access control (Agent Auth™), automated policy enforcement, and adherence to standards like SOC 2 Type II, ISO 27001, PCI DSS, and GDPR. The MCP Gateway further enforces policies, authentication, and runtime observability, effectively mitigating risks of "shadow AI" while maintaining compliance. For financial oversight, Workato integrates AI-driven ROI tracking tools. The Acumen agent analyzes automation ROI and provides actionable insights to optimize costs. Meanwhile, the Agent Insights tool offers real-time data on agent performance, usage, and ROI, ensuring enterprises have complete visibility into their AI investments. Darren Owsley, CTO at Gonzaga, highlights the platform’s accessibility:
__XLATE_8__
与其他 iPaaS 平台相比，我们使用 [Workato] 集成键盘的人数要多得多。
Vellum AI builds on Workato’s orchestration capabilities with a hybrid development approach that combines the simplicity of no-code tools with the flexibility of SDKs. Designed for enterprises needing scalable and agile AI agent deployment, Vellum blends a visual no-code interface with Python and TypeScript SDKs. This allows technical teams to extend functionality while business users retain control and refine prompts as needed. This approach has enabled customers to accelerate AI development cycles by 50%.
Vellum addresses enterprise needs with deployment options tailored to diverse security and residency requirements. Whether it’s cloud, private VPC, or on-premises (including hardened, air-gapped environments), the platform ensures compliance with strict security standards. Its high-availability infrastructure includes regional isolation, disaster recovery, and defined SLAs for global reliability. The decoupled AI lifecycle further enhances flexibility, allowing teams to fix errors or optimize models without affecting infrastructure uptime or requiring core code redeployments. Jordan Nemrow, Co-Founder & CTO at Woflow, highlighted this benefit, noting that Vellum’s approach helped his team achieve a 50% increase in AI development speed.
Vellum’s multi-model orchestration supports top providers like OpenAI, Anthropic, and Google, while also offering a "Bring Your Own Model" (BYOM) option to avoid vendor lock-in. Native connectors integrate seamlessly with enterprise systems like CRM, ERP, ITSM, and data warehouses, while the two-way sync feature bridges the gap between visual interfaces and code, enabling collaboration between engineers and non-technical stakeholders. Sebi Lozano, Senior Product Manager II at Redfin, shared how Vellum streamlined prompt evaluation and workflows, leading to a 10x reduction in optimization cycles. This efficiency allowed Redfin to roll out a virtual assistant across 14 U.S. markets, boosting business operations by 15–30%. Such seamless integration paves the way for effective workflow automation.
With Vellum’s Agent Builder, teams can create workflow automations in minutes using natural language prompts. The platform’s built-in "Evals" evaluate AI agent performance - measuring quality, cost, latency, and reliability - before production deployment. Additionally, its agentic tooling supports advanced workflows with features like state snapshotting and forking, ensuring reproducibility for even the most complex processes. Lior Solomon, VP of Engineering, praised Vellum’s impact:
__XLATE_10__
Vellum 一直是我们人工智能工作的力量倍增器；他们的测试驱动方法帮助我们尽早发现回归并快速迭代。在准确性和安全性保证至关重要的领域，Vellum 为我们提供了快速移动而不影响性能的基础设施。
Vellum AI strengthens enterprise operations by combining innovation with stringent governance and cost management. The platform offers fine-grained Role-Based Access Control (RBAC), SSO/SAML support, and immutable audit logs for complete traceability. It complies with SOC 2 Type II, HIPAA, and GDPR standards to meet enterprise security requirements. For financial oversight, Vellum provides detailed cost tracking with per-run and per-agent visibility, budget caps, and usage alerts to prevent overages during scaling. Organizations using Vellum have reported a 20–40% reduction in total AI costs thanks to its optimized orchestration capabilities. Pricing starts at $25/month for paid plans, with custom options available for large-scale deployments needing VPC, HIPAA compliance, and dedicated support.
当评估可扩展性、互操作性、工作流程自动化以及治理和时， FinOps 中，每个平台都带来了独特的优势和权衡。这些差异使企业决策者可以灵活地选择符合其特定需求的解决方案。
Prompts.ai 因其节省成本的功能和集中式模型管理而脱颖而出。通过节省高达 98% 的 AI 软件成本，它为专注于财务控制的组织提供了一个极具吸引力的选择。其即用即付的 TOKN 信用系统消除了经常性订阅费，使其成为寻求优化支出的企业的有吸引力的选择。此外，Prompts.ai 擅长统一领先的语言模型，同时提供实时成本洞察。
Workato 凭借其广泛的预构建连接器库，在企业互操作性方面表现出色。这些连接器将 AI 工作流程与 CRM、ERP 和 ITSM 等主要企业系统无缝集成，从而实现快速部署。这使得 Workato 成为寻求与现有基础设施高效集成的企业的有力选择。然而，与代码优先平台相比，具有高度专业化人工智能需求的组织可能会发现其定制能力有些有限。
Vellum AI 弥合了开发人员灵活性和业务用户可访问性之间的差距。它将直观的无代码工具与 SDK 支持相结合，允许团队定制解决方案，同时保持易用性。其解耦的人工智能生命周期确保可以在不造成基础设施中断的情况下优化模型。内置评估工具进一步增强生产前的质量控制。虽然 Vellum AI 专为中端市场部署而设计，但具有严格安全要求的企业可能需要考虑其他配置选项。
以下是每个平台的主要优势和局限性的摘要：
The comparison highlights that each platform excels in specific areas. Prompts.ai leads in cost efficiency and model variety, making it ideal for organizations prioritizing financial oversight. Workato is unmatched in enterprise system integration, catering to businesses with complex infrastructure needs. Vellum AI offers a balanced approach, blending technical flexibility with user-friendly automation tools. Ultimately, the right choice will depend on an organization’s top priorities - whether that's reducing AI expenses, integrating with existing systems, or enabling seamless collaboration across teams.
选择正确的人工智能平台归结为与组织的特定优先事项保持一致。如果财务清晰度和控制是首要考虑因素，Prompts.ai 可以通过其即用即付 TOKN 定价模型提供令人信服的解决方案。通过提供代币级别的可见性，它使财务团队能够监控和调整跨部门的支出，确保更明智的预算分配。这种方法非常强调财务效率，使其与更倾向于系统集成或开发敏捷性的平台区分开来。
其他平台可能会优先考虑无缝集成或在技术适应性和易用性之间取得平衡。可用功能的多样性凸显了深思熟虑的定制决策过程的重要性。
When evaluating options, it’s essential to weigh factors like scalability, interoperability, workflow automation, and governance. Leaders must also address challenges such as managing costs, maintaining oversight of multiple models, and ensuring compliance to identify the platform that best meets their needs.
2026年，大型企业在选择AI平台时，应该关注可扩展性。该平台必须能够管理生产级工作负载，同时支持云和本地部署。这种双重功能对于处理延迟敏感的操作或使用受监管的数据环境至关重要。
同样重要的是安全性和合规性功能。该平台应符合 HIPAA 或 GDPR 等行业标准，并包括访问控制、审计跟踪和减少偏见的机制等基本工具。这些功能确保人工智能得到负责任、安全的使用。
最后，评估平台的集成能力和成本效率。解决方案为数据管道、模型管理和无缝 DevOps 工作流程提供统一工具，可简化操作并加速部署。评估总拥有成本（包括可预测的云和许可费用）可以帮助使平台与组织的财务和运营目标保持一致。
Prompts.ai 通过集中模型编排和实时财务运营 (FinOps) 洞察，帮助企业将 AI 软件成本削减高达 98%。通过将超过 35 种大型语言模型（例如 GPT-4 和 Claude）整合到一个简化的平台中，企业可以消除处理多个供应商合同和支付冗余订阅费用的麻烦。
The platform features a live FinOps dashboard that tracks usage and expenses in real time, automatically directing tasks to the most cost-effective model that still meets performance requirements. This ensures companies only pay for the compute power they actually use. On top of that, Prompts.ai’s orchestration layer simplifies workflows by cutting out unnecessary processing steps, reducing overhead, and boosting efficiency. These combined tools offer a scalable and budget-friendly solution designed specifically for large organizations.
Prompts.ai 是一个综合性的人工智能编排中心，允许企业通过单一的即用即付平台无缝集成超过 35 种大型语言模型。其突出功能包括专为多模型编排而设计的强大自动化引擎、使用 TOKN 积分进行实时成本跟踪以及使用限制、审计日志和基于角色的访问等精细治理工具。这些功能旨在减少大量工程工作的需要。
Workato 以应用程序集成和自动化为中心，提供各种预构建的连接器来连接 SaaS 工具和本地系统。虽然它可以触发人工智能服务，但其主要目的在于促进应用程序之间的数据移动。这通常涉及技术专业知识和自定义脚本来创建适合特定需求的工作流程。
Vellum AI 面向企业人工智能工程，专注于人工智能代理的安全开发、版本控制和部署。其自动化工具优先考虑遵守 SOC 2 和 GDPR 等标准，并提供用于管理和比较人工智能模型的功能。然而，它的重点更多地是安全模型管理，而不是多模型编排或广泛的应用程序集成。
Prompts.ai 以其以模型为中心的统一工作流引擎脱颖而出，强调治理和成本管理。相比之下，Workato 擅长数据集成自动化，而 Vellum AI 则面向企业规模运营的安全 AI 代理开发和部署。
