Let AI truly
know your customers

The end users of software are shifting from people to agents. Built on eight years of product depth, InsightArk turns every conversation between you and your customers into first-party data that's yours alone. With three capabilities — Copilot, Skills and MCP connectors — InsightArk Intelligence Pack turns InsightArk from software that people use into enterprise capabilities that AI agents can call on directly.

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Architecture diagram of InsightArk securely connecting first-party enterprise data to ChatGPT, Claude and Gemini through MCP

Three capabilities in one pack

Copilot + Skills + MCP connectors: InsightArk evolves from a tool into your AI decision hub.

Copilot — Marketing · Sales · Customer Service

A 24/7 AI assistant for smart writing, conversation summaries, performance insights and reply suggestions. Plan a marketing campaign in a single sentence and generate broadcasts and sales pitches automatically. Ready out of the box, with no technical background needed.

Skills — Development · Engineering

Programmable AI skill modules that turn your senior staff's judgment and brand voice into standardized SOPs: define once, share across the team, keep quality consistent and use them on any platform. The enterprise plan supports private Skills deployment.

MCP Connectors — IT · Management

Connect with one click from the desktop app to bring InsightArk data and features into ChatGPT, Claude and Google Antigravity. IT decides and governs what each AI can read, and the enterprise plan supports deployment on a dedicated VPC instance.

AI is smart, but it doesn't know your customers

After adopting general-purpose AI, most teams get stuck on the same four things: customer data is scattered across systems, so AI never sees the full picture; replies go out without knowing who the customer is or what they've bought, so answers miss the point; senior staff's experience lives in their heads and leaves when they do; and the conversation history and order data you've built up are out of reach for general-purpose AI tools, so your team ends up copying and pasting back and forth. Intelligence Pack is built to solve exactly these four problems.

Customer data is scattered across systems, so AI can't see the full picture
Replies go out without knowing who the customer is or what they've bought
Senior staff's know-how leaves when they do
General-purpose AI tools can't read your conversation and order data

Illustration of customer data scattered across conversations and systems, leaving AI without a complete picture

MCP and Skills: a dual engine

MCP gets you the data: it breaks down tool silos so ChatGPT, Claude and Google Antigravity connect directly to InsightArk, and you can simply ask AI for any analysis you need. Skills tell AI what to do with it: they structure the scenario, tools, steps and output format, so you write them once and use them on any platform.

Define once → share with the team → consistent quality → connected across conversations
MCP: break down tool silos and ask AI for any analysis you need
Skills: structure scenarios, tools, steps and output formats

Dual-engine illustration: MCP connects the data and Skills define the workflow

Your first-party data: AI can read it, no one can take it

Everyone can use AI, but only you have your data. InsightArk turns every conversation between you and your customers into first-party data that's yours alone, owned by you and impossible for competitors to copy. Intelligence Pack lets AI understand and act on that asset, and the enterprise plan runs on an isolated single-tenant dedicated VPC, so governance over what AI can read stays entirely with you.

Your data is yours, and competitors can't copy it
Isolated single-tenant dedicated VPC on the enterprise plan
SUPER 8 Studio is the first company in Taiwan to hold both the AWS AI Competency and the AWS Agentic AI Applications Competency

Illustration of first-party customer data turned into usable insights under permissions and governance

Ready to work in five industries

The figures below are target values for typical deployment scenarios. Actual results vary with data volume and use case.

Automated follow-up reminders and inquiry triage
- AI replies using visit records, with built-in compliance disclaimers
- Typical deployment target: repeat inquiries −60%
- Typical deployment target: zero missed after-hours inquiries
- Actual results vary with data volume and use case
Turn your top consultant's playbook into the team standard
- Top consultants' scripts written as Skills and replicated across the team
- Next-step recommendations based on treatment history
- Typical deployment target: price-inquiry conversion +20%
- Typical deployment target: new-hire training time −50%
- Actual results vary with data volume and use case
Order-status auto-replies and one-sentence broadcasts
- Automatic order-status replies
- Segmented broadcasts and performance reports from a single sentence
- Typical deployment target: repeat service volume −40%
- Typical deployment target: broadcast clicks +30%
- Actual results vary with data volume and use case
AI produces the content, editors focus on review and polish
- AI drafts posts, itinerary descriptions and customer service replies
- Brand voice written as Skills for consistency across platforms
- Typical deployment target: 3x content output
- Actual results vary with data volume and use case
Cited, auditable replies for public services
- Public service replies that cite official announcements
- Auditable replies with a full trail
- Dedicated VPC on the enterprise plan to meet security requirements
- Typical deployment target: 70% of repeat inquiries automated
- Actual results vary with data volume and use case

Healthcare workspace for patient conversations and case follow-up

Two starting points, one path

AI needs data to work with. Intelligence Pack is built on data that's yours alone.

Add it on and go
- Add Intelligence Pack to any Standard plan or above
- Turn on the Copilot + Skills + MCP decision hub right away
- No system change, no data migration
Build your data assets first
- Start with InsightArk and turn every conversation into first-party data that's yours alone
- It's the first step in your AI strategy
- Once your data is in place, upgrade to the Pack seamlessly

Illustration of existing customers keeping their current system and connecting Intelligence Pack securely

Frequently asked questions

Can't find your question here? Contact our live support or send us a message, and a specialist will get back to you shortly.

Intelligence Pack is an InsightArk add-on that bundles three capabilities: Copilot (a 24/7 AI assistant for smart writing and insights), Skills (programmable AI skill modules that turn workflows into standardized SOPs) and MCP connectors (which bring InsightArk data and features into leading AI tools). Together, they upgrade InsightArk from a tool into your AI decision hub.

MCP connectors integrate seamlessly with ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google).

Intelligence Pack is built on data that's yours alone and requires an InsightArk Standard plan or above. If you're not a customer yet, start with InsightArk to build up your first-party data. Once it's in place, you can upgrade seamlessly with no system change and no data migration.

Let AI trulyknow your customers