Customer support
Assistant platform
Double resolved issues and save hours per week on manual tasks with custom AI assistants that help your support teams work smarter.
Driving AI ROI
for support teams
“Our support teams are leveraging their AI assistant to problem-solve system messages and customer queries more effectively.”
AI assistant helps accessibility manufacturer resolve support queries
%
time savings in tech support
European scaleup rolls out AI assistants for all support teams
x
issues resolved per rep
Key benefits
Unlock outstanding service at scale
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Cut the manual support admin
With an AI support assistant on hand, your support team can automatically triage and assign incoming support tickets based on topic and complexity, saving each lead up to 5 hours of manual work per week.
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Resolve queries at lightning speed
No more knowledge bottlenecks. You can shorten response times and increase answer accuracy by grounding your support assistant in the latest product and service data.
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Drive satisfaction through better insight
Send personalized responses based on previous interactions. Analyze 1000+ support calls and get actionable feedback on how to improve satisfaction scores across the team.
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Streamline support onboarding
Pairing new support reps with an AI assistant reduces time to productivity. They get instant answers as well as detailed feedback on customer support calls—right down to the last second.
Custom integrations
Connect your AI assistants to all your most-important tools and data sources, from Google Drive and Slack to Zendesk and beyond.
See all integrations
Box
Asana
Github
Notion
Slack
Google Drive
Salesforce
Mixpanel
Monday
Zapier
Figma
Zendesk
Dedicated AI assistants for every team
Easily create multiple assistants to cover all your company's needs. From Sales and Marketing to Customer support, and more.
Sales and GTMIn-house operations
Marketing teams
No training on your support data.
Full enterprise-grade security and support.
- No training on your data
- Domain verification, SAML, SSO, & SCIM
- SOC 2 Type 1 compliance
- ISO 27001 certified
- GDPR compliant
- Data encrypted at rest with AES 256 and in transit with TLS 1.2+
- Azure, Anthropic, Cohere, OpenAI, and self-hosted models
- Knowledge verification settings
- User-generated feedback on responses
- Analytics dashboard for montioring usage and responses
- API access for building your own integrations
- Dedicated success team, priority support, and SLA
- AI strategy consulting and integration guidance
- Tailored onboarding and change management support
FAQ
How secure is Sana AI?
Sana AI is single tenant, SOC2 and ISO 27001 certified, and GDPR compliant. All data is encrypted at rest with AES 256 and in transit with TLS 1.2+. The platform follows data privacy regulations and guidelines to protect each individual user. Enterprise users can be authenticated with Single-Sign-On (SSO). Integrated systems can mirror the underlying system permissions.
Which integrations does Sana AI have?
Enterprise customers can use a wide range of off-the-shelf connectors. New connectors are added and included in the offering. Free tier users can currently add integrations to Google Drive, Sharepoint, Google Calendar, Outlook Calendar. Enterprise customers can also build custom integrations to Sana AI. Sana AI supports meeting recordings in Zoom, Microsoft Teams, and Google Meet for both tiers.
Can Sana AI browse the web?
Sana AI can combine your internal knowledge with anything from the public web. As a user, you can control the scope for each question. As an administrator, you can enable or disable web browsing for any assistant you create in Sana AI.
Which types of data can Sana AI handle?
Sana AI excels in reading documents (e.g. PDF, Powerpoint, Word, Docs), structured files (e.g. Excel, Sheets, CSV), and videos (e.g. MP4). Sana also connects to third-party systems such as CRMs with additional data types. Additional data types are added continuously.
How does Sana AI store my data?
Data added through integrations and/or through upload to Sana AI is indexed and stored in a cloud instance. Sana AI isolates all customer data using a single tenant architecture, meaning no databases are shared between customers. Data at rest is encrypted with AES 256 and data in transit is encrypted with TLS 1.2+.
How are data permissions handled?
There are three ways documents can be added to Sana AI, (i) through direct upload, (ii) through a private integration, and (iii) with a shared integration. The accessibility depends on how the document has been added and what admin settings are configured.
For direct uploads, access management is handled directly in Sana AI through individual document access management or through collections. Admins can set up which users can do what.
For private integrations, each user is self-authenticating and can see results only from the scope they have access to. For example, a user can see the same results from Google Drive that they could see if searching directly from their authenticated Google Drive.
For shared integrations, admins can control which documents should be available to all users who have access to a collection and/or the entire workspace.
Which LLMs does Sana AI use? Are third-party models trained on my data?
Sana AI’s architecture is built agnostic to the underlying large language models. Enterprise users can select between a range of LLM models and providers. Sana’s default model options are not trained on Content Data. We utilize enterprise security arrangements and, whenever possible, a Zero-Day Retention (ZDR) policy with our third parties. For specific LLM requirements, please get in touch with us.
Which languages does Sana AI support?
The assistant can speak more than 50 languages. For specific inquiries, please get in touch with us.
Get in touch
We’d love to see how we can help.