Strides adds conversational AI to your SaaS that doesn't just answer questions — it executes actions inside your product using your real APIs. Chat that closes the loop.
Beyond Q&A. Into Action.
Strides doesn't just know your product — it can use it on your users' behalf.
One-Script-Tag Install
Paste one line of code and walk away. Strides auto-discovers every page, route, and API endpoint in your app without any configuration.
Autonomous Actions
The AI doesn't just answer questions — it executes tasks. Draft an invoice, reassign a ticket, send a report — using your real APIs, in your real product.
100% White-Labeled
Your branding. Your product name. Your colors. Strides is permanently invisible. No "powered by" badge, no Strides mention anywhere in the UI.
Strict Tenant Isolation
Built for multi-tenant SaaS from day one. Every user sees only their own data. Zero cross-tenant bleed at the architecture level.
Live User Context
Strides queries your real APIs for each user's actual data in real time. No static snapshots. No generic answers. The AI knows exactly what's in their account right now.
Streaming Responses
Responses stream back via SSE the moment generation starts. Sub-200ms TTFB globally via our edge CDN. No loading spinners. No waiting.
Why Conversational AI in SaaS Fails — and What Actually Works
Most conversational AI deployments in SaaS products follow the same pattern: connect the AI to your documentation, your help center articles, and maybe a few FAQs — and call it an AI assistant. The result is a sophisticated search engine that can answer generic questions from your knowledge base. It can't tell a user the status of their specific campaign. It can't tell them why their invoice failed. It can't take any action on their behalf. It's a dead end.
The reason is architectural. Knowledge-base-grounded AI is limited to what's in the knowledge base — static content that doesn't reflect any individual user's account state or recent activity. The moment a user asks a specific question about their data ("why is my report showing 0 conversions?"), the AI either hallucinates an answer or admits it doesn't know.
Strides Build solves this by grounding every response in the user's live account data, queried in real time from your APIs. When a user asks about their campaign, Strides calls your campaign API and returns the actual current state. The AI isn't guessing from documentation — it's reading real data from your real system, the same way your product does.
The action layer is what distinguishes Strides from other conversational AI solutions. Rather than just responding with information, Strides can execute operations via your APIs — creating records, updating settings, triggering workflows, generating and delivering reports. A user who asks "can you send a summary of this month's activity to my team?" gets a summary sent, not a description of how to do it themselves.
The business impact of this distinction is measurable. An AI that can only answer questions reduces some support volume — users who would have emailed support for a generic answer now get it instantly. An AI that can execute actions reduces significantly more: users who would have emailed support because they couldn't figure out how to do something complex now just ask the AI to do it for them.
Frequently Asked Questions
What kind of actions can the AI take?
Any action your product supports via API — creating, reading, updating, or deleting records; triggering workflows; generating reports; sending notifications; updating settings. Strides maps your API surface automatically and makes those capabilities available to the AI.
How does the AI know what a specific user's data looks like?
Strides queries your APIs in real time for each authenticated user before responding. It doesn't use static snapshots or cached data — it reads live data from your system, so responses are always accurate and current.
Can users accidentally do destructive things through the AI?
You control which API endpoints the AI can access. Destructive operations — deletes, bulk updates — can be restricted or require explicit confirmation from the user before execution. You define the permission boundaries; the AI operates within them.
How does streaming work?
Strides delivers responses via Server-Sent Events (SSE). The response starts streaming within 200ms of the user's message — tokens appear in real time as they're generated, so there's no waiting for a complete response before the user sees anything.
Can the AI handle multi-step tasks?
Yes. Strides can break complex user requests into multiple API calls, execute them in sequence or in parallel, and aggregate the results into a coherent response. A user asking for "a summary of last week's activity across all my projects" triggers multiple API calls and a synthesized answer.
How does the AI handle errors or failed API calls?
Strides handles errors gracefully — if an API call fails, the AI explains the issue to the user in plain language and suggests next steps. It doesn't expose raw error messages or technical details to users.