Choosing the right AI platform is about more than convenience. It defines how your company handles operations, workflows, and growth. For businesses seeking serious results with AI for enterprise, both Dot and Sana AI offer powerful platforms. But only one of them is built from the ground up to orchestrate real business outcomes.

This comparison explores Dot and Sana AI across six essential areas: model options, data control, functionality, customization, integrations, and pricing. We’ll end with a summary table and a final take on why Dot stands out.

Model Options: Choose What Works Best

In enterprise environments, flexibility in model choice is essential when choosing an AI for enterprise tasks.

Sana AI allows model-agnostic deployments. Enterprise customers can connect the platform to various providers like OpenAI, Cohere, and Anthropic. However, this capability is reserved for enterprise-level contracts. Users on the free plan are limited to a default model with no ability to switch or optimize.

Dot offers multi-model access out of the box. Teams can choose the best model for each task, whether it is OpenAI, Gemini, Mistral, Anthropic, or Cohere. This gives every user, not just enterprise clients, the freedom to optimize for speed, accuracy, or cost.

Why it matters: Choosing right AI for enterprise is important because enterprise level use cases vary greatly. From summarizing contracts to generating product copy, teams need the right model for the right job. Dot makes that possible for everyone, not just those with a custom agreement.

Data Control: Keep It Where It Belongs

When comparing AI for enterprise operations, one thing to always consider is that company data must remain protected and compliant at all times.

Sana AI provides enterprise-ready security features. Data is encrypted in transit and at rest, and customer data is not used to train models. Enterprise customers can request a single-tenant setup within their own cloud environments.

Dot takes control a step further. It lets companies host their entire AI platform in the cloud, on-premise, or in a hybrid setup. Dot ensures complete data ownership, flexible compliance options, and the ability to deploy behind your own firewall when necessary.

Why it matters: Enterprises in regulated industries such as healthcare and finance cannot compromise on control. With Dot, your data stays in your environment under your terms.

Functionality: More Than a Chatbot

AI should do more than answer questions. It should act, decide, and drive work forward.

Sana AI provides assistants that handle enterprise search and basic task execution. For example, it can pull files, summarize documents, and trigger actions in connected tools. These assistants work well for internal queries and knowledge support.

Dot enables teams to build multiple AI agents that can work together to manage entire workflows. These agents can retrieve data, make decisions, coordinate with other systems, and complete sequences of actions automatically. This orchestration capability is what makes Dot not just a productivity booster, but a true process accelerator.

Why it matters: Knowledge access is helpful, but execution is what changes business outcomes. Dot moves from helping people do tasks to having AI agents complete them end-to-end.

If you’re looking for agentic AI platforms but can’t decide between Dot and Microsoft Copilot, check our blog post ''Dot vs. Microsoft Copilot: Which AI Tools for Product Management Truly Scale?”.

Customization: No Code or Full Code. You Choose

Every enterprise has different teams, processes, and goals. Customization is not a luxury. It is a requirement.

Sana AI offers a simple way to set up assistants without code. You can select their tone, assign them to specific knowledge sources, and configure their behavior with a point-and-click interface. For companies that want speed and ease, this is useful. Sana also provides API access for building custom integrations, but its backend logic remains mostly fixed.

Dot is built to serve both business users and developers. Teams can use the no-code interface to create agents, design workflows, and link tools together. Each agent’s behavior can be visually adjusted based on rules, triggers, or other agents’ outputs. Business teams can launch full workflows without writing a single line of code.

But the real depth comes for technical teams. Developers can script complex logic, customize agent behaviors with code, and integrate Dot into any internal system. Whether you want a lightweight integration with your CRM or a highly specific agent for legal review, Dot supports both. It acts more like a development framework than just a tool, allowing every enterprise to tailor their own AI infrastructure to match their internal goals.

Why it matters: Customization means long-term scalability. With Dot, your AI grows as your processes evolve. You can start fast, iterate quickly, and expand confidently across teams.

Integrations: Connect Everything

AI for enterprise only works when it is embedded into the tools your teams already use.

Sana AI connects to over 100 tools including Google Drive, SharePoint, Outlook, and Teams. It mirrors user permissions, ensuring secure access to shared data sources. Enterprises can also build custom actions using Sana’s developer API.

Dot offers native integrations with business-critical platforms like Salesforce, Slack, HubSpot, and Zendesk. Each integration becomes a building block for your AI for enterprise workflows. You can create agents that update CRM records, send messages, or trigger alerts as part of a larger process. For more custom scenarios, Dot’s API allows direct integration with databases, internal apps, and cloud functions.

Why it matters: AI for enterprise operations must connect with real systems and do real work. Dot ensures that every integration serves a purpose in automation, not just data access.

Pricing: Transparent and Scalable

Pricing should be aligned with usage and value.

Sana AI has a free plan with limited usage caps. To unlock AI for enterprise grade features like custom models and unlimited usage, companies must upgrade to a custom-priced enterprise contract.

Dot offers a free signup and usage-based pricing. Businesses pay only for what they use and can scale up as they grow. Enterprise features like custom models, support, and deployment options are available in higher tiers without forcing early commitments to offer AI for enterprise level to companies of every sizes..

Why it matters: Dot lets businesses get started quickly and expand naturally. You can experiment without pressure and grow your AI usage when the results speak for themselves.

Comparison Table

Conclusion: Why Dot Wins for Enterprise Use

Sana AI is a capable tool for enterprise knowledge support. It helps teams access and use company information more effectively. For organizations focused on knowledge management, it is a meaningful upgrade from traditional search.

Dot, however, is designed to run operations. It offers the model flexibility, workflow automation, deep customization, and real integrations that modern enterprises need.

If your company is serious about scaling productivity, accelerating operations, and building long-term automation, Dot is the AI platform that delivers.

Start your free Dot trial today and start building the AI-driven foundation your enterprise deserves.

Frequently Asked Questions

What is the main difference between Dot and Sana AI?
Dot is built for operational automation using multiple AI agents, while Sana AI focuses more on enterprise search and assistant tasks.

Can I use Dot for complex workflows without coding skills?
Yes. Dot offers a no-code interface for building workflows and AI agents, with full-code options available for developers when needed.

Which is better for enterprise automation: Dot or Sana AI?
Dot is better suited for automation across teams, offering deeper customization, broader integrations, and flexible deployment options.

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