Make Your Existing System Understand Natural Language

AI enablement starts here

Upgrade your app with AI without rewriting the core

📄

OpenAPI spec

📋Input: your existing system API specification

Create customer

Create opportunity

Create quote

Create event

Create workflow

Create task

⚡

AI capability catalog

✨Capabilities learned by AI

✓Customer Management (CRM)

✓Events & calendar

✓Workflow Management

✓Opportunities & pipeline

✓Quotes & documents

✓Task Tracking & Reminders

✨AI-ready

Complete flow: from natural language to system execution

OpenAPI defines capabilities, AI plans requests, Action Flow JSON is returned, your system decides execution

Work note

Sandbox analysis

App execution

💬

Work note

AI Sandbox

Processing…

Describe work in natural language—just like chatting

1Work note

AI Sandbox

Processing…

2Sandbox analysis

⚡AI Sandbox

3App execution

🏢Your system

✨ Natural language in, AI plans, reviewable flow out; execution is decided by your system

Turn requests into your system workflow

Sandbox condenses natural language into Action Flow JSON (Plan)—previewable, reviewable, acceptance-ready. Execution and auditing are enforced by your system.

Contract-firstAudit-readyRollbackable

One request in, a flow plan out

JSON / Spec

Sandbox turns your request into a previewable Action Flow suggestion (step order / API mapping / risk flags). Execution is decided by your application.

PreviewableDry-run readyRollback guidance

AI Sandbox

Input received → plan generated (for reference)

Create/update customer: Sample Customer Inc.

Create opportunity: ERP evaluation

Generate quote: ERP 50 seats

Schedule event: next Tue demo

Create follow-up task: post-demo

You own the plan: Sandbox drafts, you decide and execute

Governance & boundaries (Can / Cannot / Ownership)

You own the plan: Sandbox drafts the flow. Your system decides execution and auditing.

Can

Sandbox can

Turn ideas into a draft plan—review, edit, then decide whether to execute

Parse your OpenAPI and build a capability catalog (endpoints/params/schema)
Turn natural language into an Action Flow draft (step order / API mapping / risk flags) — previewable and reviewable
Trace each step to APIs and data fields for audit and acceptance

✓ Sandbox: propose a plan

Will not

Sandbox will not

We don’t touch your data or make decisions for you—execution always stays on your side

Manage your auth/permissions (reuse your existing Auth/RBAC)
Write data back to your system (no direct write-back)
Auto-execute: Sandbox only outputs a plan—it will never press “do it” for you

⊘ Sandbox: no execution / no write-back

Ownership

Your decision

Sovereignty stays in your application: permission checks, audit logs, and execution (dry-run → commit)

Checked by your system: scenario rules, RBAC/data scope, risk level (allow/review/reject)
Executed by your system: dry-run → commit, write-back/rollback/compensation, audit logs

🏢 You gatekeep: check / audit / execute

Getting started is easy

OpenAPI

Action Flow

dry-run → commit

Take action now: try it in 3 minutes, align integration, ship with acceptance.

Try the demo

See what an Action Flow looks like in 3 minutes

Integrate

Align your OpenAPI with flows, permissions, and acceptance criteria

Go live

Acceptance checklist + test pack + audit trail—delivered together

讓企業 AI 應用變為可能

打造你的 On‑Prem AI

參加活動

Make Your Existing System Understand Natural Language

AI enablement starts here

Upgrade your app with AI without rewriting the core

📄

OpenAPI spec

📋Input: your existing system API specification

Create customer

Create opportunity

Create quote

Create event

Create workflow

Create task

⚡

AI capability catalog

✨Capabilities learned by AI

✓Customer Management (CRM)

✓Events & calendar

✓Workflow Management

✓Opportunities & pipeline

✓Quotes & documents

✓Task Tracking & Reminders

✨AI-ready

Complete flow: from natural language to system execution

OpenAPI defines capabilities, AI plans requests, Action Flow JSON is returned, your system decides execution

Work note

Sandbox analysis

App execution

💬

Work note

AI Sandbox

Processing…

Describe work in natural language—just like chatting

1Work note

AI Sandbox

Processing…

2Sandbox analysis

⚡AI Sandbox

3App execution

🏢Your system

✨ Natural language in, AI plans, reviewable flow out; execution is decided by your system

Turn requests into your system workflow

Sandbox condenses natural language into Action Flow JSON (Plan)—previewable, reviewable, acceptance-ready. Execution and auditing are enforced by your system.

Contract-firstAudit-readyRollbackable

One request in, a flow plan out

JSON / Spec

Sandbox turns your request into a previewable Action Flow suggestion (step order / API mapping / risk flags). Execution is decided by your application.

PreviewableDry-run readyRollback guidance

AI Sandbox

Input received → plan generated (for reference)

Create/update customer: Sample Customer Inc.

Create opportunity: ERP evaluation

Generate quote: ERP 50 seats

Schedule event: next Tue demo

Create follow-up task: post-demo

You own the plan: Sandbox drafts, you decide and execute

Governance & boundaries (Can / Cannot / Ownership)

You own the plan: Sandbox drafts the flow. Your system decides execution and auditing.

Can

Sandbox can

Turn ideas into a draft plan—review, edit, then decide whether to execute

Parse your OpenAPI and build a capability catalog (endpoints/params/schema)
Turn natural language into an Action Flow draft (step order / API mapping / risk flags) — previewable and reviewable
Trace each step to APIs and data fields for audit and acceptance

✓ Sandbox: propose a plan

Will not

Sandbox will not

We don’t touch your data or make decisions for you—execution always stays on your side

Manage your auth/permissions (reuse your existing Auth/RBAC)
Write data back to your system (no direct write-back)
Auto-execute: Sandbox only outputs a plan—it will never press “do it” for you

⊘ Sandbox: no execution / no write-back

Ownership

Your decision

Sovereignty stays in your application: permission checks, audit logs, and execution (dry-run → commit)

Checked by your system: scenario rules, RBAC/data scope, risk level (allow/review/reject)
Executed by your system: dry-run → commit, write-back/rollback/compensation, audit logs

🏢 You gatekeep: check / audit / execute

Getting started is easy

OpenAPI

Action Flow

dry-run → commit

Take action now: try it in 3 minutes, align integration, ship with acceptance.

Try the demo

See what an Action Flow looks like in 3 minutes

Integrate

Align your OpenAPI with flows, permissions, and acceptance criteria

Go live

Acceptance checklist + test pack + audit trail—delivered together

讓企業 AI 應用變為可能

打造你的 On‑Prem AI

參加活動