FAQ
Get clear answers about Foldspace—how it works, integrates, secures data, and drives product adoption with agentic UX for SaaS teams.
Product Understanding
What is Foldspace in one line?
Foldspace is an agentic UX platform that ties user intent to outcomes by leveraging real-time context, product knowledge, and actions — acting as the end-user operator for your product and instantly simplifying the experience without requiring you to revamp your UI or backend.
What exactly does Foldspace do in one sentence?
Foldspace lets SaaS companies embed an agentic UX layer—a copilot inside their product—so users can skip menus and dashboards and reach outcomes instantly.
How is an agentic UX layer different from a chatbot or AI assistant?
A chatbot answers questions. An AI assistant handles small tasks. An agentic UX layer actually navigates, acts, and executes multi-step workflows across your product. It’s fused into your product’s core experience, not bolted on.
What kinds of workflows can Foldspace automate?
Anything slowed by menus, dashboards, or training:
- Multi-step onboarding flows
- Reporting and analytics queries
- Data entry and record management
- Cross-app workflows (CRM → billing → support)
- Contextual “next best action” suggestions
Does it work better for complex enterprise products or also lighter SaaS apps?
Foldspace excels with complex SaaS that have steep learning curves (HR, healthcare, finance, analytics). Lighter SaaS apps also benefit, gaining an “AI-native” edge without rebuilding their UI.
How do Co-Pilot, Task Agents, and Chatterblocks differ?
- Co-Pilot → runs workflows end-to-end from plain-language intents (e.g., “Set up brand settings”).
- Task Agents (AI Functions) → prompt-less features (often a “Generate” button) that return structured outputs such as drafts, summaries, or auto-fill.
- Chatterblocks → in-thread UI components — forms, cards, tables, or charts — to review data, preview changes, and confirm actions inside the conversation.
What is “Product Knowledge” in practice?
Product Knowledge combines docs, help articles, and contextual data with user actions. It ensures accurate answers, activates features with best practices, and guides users to successful outcomes.
Value & ROI
How does Foldspace impact product adoption metrics?
Foldspace simplifies the path to value. Users express outcomes directly, leading to faster activation, stronger feature usage, and higher adoption.
What kind of ROI do customers see in the first 90 days?
- Faster new-user productivity
- Fewer “how do I” support tickets
- More consistent use of core product features
The ROI comes from reducing friction and boosting engagement.
Does this reduce onboarding or training costs for new users?
Yes. Foldspace acts as an embedded guide, replacing training sessions or manuals. Users learn by asking and doing, shortening onboarding cycles.
How fast can we get to value?
Text-based actions can launch within minutes; Chatterblock-enabled experiences in 2–3 hours. Teams typically ship meaningful outcomes the same day.
How quickly can my team implement and ship Foldspace?
Most teams move from proof-of-concept to live agent in days to weeks depending on complexity — not quarters.
Technical Fit & Implementation
Do we need to rewrite our UI or create a dedicated backend?
No. Foldspace reuses your existing UI components and acts against your existing APIs/workflows. No parallel service layer required.
How does Foldspace integrate with my current SaaS stack?
It embeds as a lightweight agentic layer, connecting through APIs, front-end components, and chosen data sources.
What kind of developer effort is required to embed it?
Integration is light: expose endpoints/workflows and map business logic. Foldspace handles orchestration, context, and the agentic layer.
What languages, frameworks, or APIs are supported?
Foldspace is framework-agnostic. Any product with API access works. Tested with React, Node.js, and Python, but the key requirement is exposed actions.
Can it handle multi-tenant enterprise environments?
Yes. Foldspace enforces tenant boundaries and role-based access. Each session is scoped to tenant, user, and page context.
How does Foldspace interact with our APIs and workflows?
Through Actions mapped to APIs/workflows. The agent can create, update, and retrieve data. With Chatterblocks, users can review and confirm changes inline.
Do you support single-page applications (SPAs)?
Yes. In Tandem Mode, the agent synchronizes state with users in real time — even in complex, stateful SPAs.
Reliability & Quality
How do you prevent hallucinations?
We ground every response in Product Knowledge, user context, and validated Actions. A built-in reranker selects the most relevant knowledge before generation. When confidence is low, the agent can escalate via HITL (human-in-the-loop) rather than guessing.
What is HITL and how does it work?
HITL (human-in-the-loop) lets you review threads, train with feedback, or hand off to support. It prevents bad outputs and continuously improves performance.
What about latency and quality trade-offs?
Foldspace is optimized for low-latency intent matching. Optional components like rerankers add ~100–300 ms. Teams can balance speed vs. precision.
How does it protect against AI hallucinations or inaccurate outputs?
Foldspace executes against actual product logic and APIs. Guardrails, context validation, and configurable fallbacks ensure safe, accurate outcomes.
Security & Compliance
How does Foldspace handle authentication and permissions?
It respects your app’s existing model. The agent acts as the authenticated user, never bypassing access controls.
How do you verify user identity?
Requests use HMAC identity verification between your app and our SDK, cryptographically signed to the authenticated user.
What about sensitive data?
Foldspace supports PII masking/redaction. Sensitive data is excluded from prompts, logs, and models. SOC 2–aligned; GDPR/HIPAA readiness on roadmap.
Where is data processed and stored?
Encrypted in transit and at rest. By default, on GCP in the US; sensitive data never used for training. EU/UK regions on roadmap.
What security certifications or enterprise compliance standards does Foldspace meet?
SOC 2, GDPR, and HIPAA-readiness are built into the roadmap. Strict security practices already in place, with certifications expanding as demand grows.
How do you handle customer data privacy and storage?
Customer data remains in your environment or trusted infrastructure. You control agent context access. Sensitive data is encrypted and never used to train external models.
Models & Flexibility
What models do you support?
Foldspace supports OpenAI, Google Gemini, and private models. It auto-selects models to balance cost, quality, and latency.
Observability & Analytics
How do we observe and debug agent behavior?
Use the Conversations dashboard for full logs of queries, responses, and actions. Track sentiment, unanswered cases, and workflow adoption. Analytics help debug and continuously improve experiences.
Competitive Landscape
How does Foldspace compare to bolt-on AI copilots like those from Microsoft or Salesforce?
Bolt-on copilots sit beside your product. Foldspace is fused inside, product-aware, workflow-aware, and context-sensitive. Users get outcomes directly in-app.
Why wouldn’t I just build this internally with my dev team?
Building an agent requires orchestration, guardrails, analytics, memory, and security — not just wrapping an LLM. Foldspace provides this foundation so your team focuses on differentiation, not infrastructure.
Next Steps
How can I try Foldspace with my product before committing?
We start with a proof-of-concept. You share a workflow or outcome to agentify, and within days, we deploy a working demo inside your product.
Updated 2 days ago