Wonderchat Launches Workspace: A Private, Company-Trained AI That Replaces Broken Enterprise Search

SINGAPORE, June 2026 — Wonderchat, the AI platform trusted by Fortune 500 companies including ESAB and Saudi Aramco, today announced the official launch of Wonderchat Workspace — a private, company-trained AI knowledge platform that gives every employee instant, source-attributed answers from all organizational knowledge through a single conversational interface.

Key Takeaways

• Employees waste significant time searching for information, with some IT workers spending over four hours a day navigating internal systems.

• Existing enterprise search tools like Microsoft Copilot often fail because they are limited to a single ecosystem, while company knowledge is scattered across many disconnected platforms.

• Uniquely, the same knowledge base powers both the internal employee AI and external customer-facing chatbots, allowing teams to manage one source of truth.

• Wonderchat Workspace unifies all organizational knowledge into a single AI, providing instant, source-cited answers to reclaim lost productivity.

Every day, across thousands of companies, the same frustrating ritual plays out. An employee needs a spec sheet. A procurement officer needs to verify which circular is current. A new hire needs to know how much PTO they get. And in each case, the answer exists somewhere — buried in a SharePoint folder no one has touched since 2022, lodged in a Slack thread from eight months ago, or hiding in a PDF that was uploaded to the wrong Google Drive folder.

The scale of the problem is staggering. According to Coveo's Relevance Report, IT workers alone spend an average of 4.2 hours per day navigating internal systems to find information. Moveworks research found that 70% of leaders report employees regularly spend over an hour searching for a single piece of information — and for 23% of organizations, that search can consume more than five hours. That is not a search problem. That is a productivity emergency.

Wonderchat Workspace was built to end it.

Why Every Other Solution Has Failed

"Finding information is a daily scavenger hunt across Slack, Google Drive, Notion, Jira, and buried email threads," wrote one project manager in a widely-shared Reddit thread about enterprise search. The sentiment was unanimous. It isn't just an annoyance — it's a structural tax on every team in the organization.

The root cause of broken enterprise search isn't that employees aren't trying hard enough. As one Reddit user put it plainly: "the problem usually isn't the search engine — it's the chaos of ten tools that were never meant to talk to each other."

According to IBM research, 74% of executives report using different platforms to find necessary information, and nearly two-thirds of organizations manage at least one petabyte of data spread across disconnected systems. And according to Coveo, 68% of IT professionals report integration challenges with existing search deployments — while 99% of companies are still manually tuning their search results, a process that is both time-consuming and perpetually incomplete.

Microsoft Copilot has been positioned as the enterprise answer. It isn't — and the reason is structural. Copilot searches within the Microsoft 365 ecosystem. For companies whose critical knowledge lives in ERPs, LMS platforms, legacy document repositories, procurement directories, and product databases, Copilot returns incomplete results by design.

Multiple independent enterprise teams evaluating Workspace in early 2026 had already paid for Copilot. None of them found it solved the problem.

The permissions problem compounds everything. "[The painful part became permissions, stale context, duplicate information, and figuring out which source was actually authoritative when Slack contradicted Confluence,"] wrote one practitioner who had built their own internal RAG system. Even teams with the technical depth to build custom solutions run into this wall.

Introducing Wonderchat Workspace: One AI That Searches Everything

Wonderchat Workspace is a private AI workspace — an AI environment that sources answers exclusively from an organization's own documents and content. It connects to SharePoint, Google Drive, PDFs, websites, ERPs, and any other repository the company relies on, then indexes everything automatically. No migration. No reorganization. No IT project.

Employees ask questions in natural language — the same way they'd use ChatGPT — and the AI intelligently routes their query across every connected system to deliver a precise, conversational answer with direct citations to the source documents. Not a list of links. Not a tooltip that says "3 results found." An answer, with a traceable trail back to exactly where it came from.

What that looks like in practice:

• A warehouse worker asks: "What's the installation procedure for SKU 48291-B?" The AI instantly navigates the 300-page product manual to surface the relevant section, displays the correct diagram inline, and answers in seconds. The corporate office doesn't get a call.

• A new hire asks: "How many PTO days do I get in my first year?" The AI routes the question to the current employee handbook — the right version, not a superseded one. The HR team doesn't get an email.

• A procurement officer asks: "Which circular is current for vendor pre-qualification in the APAC region?" The AI intelligently identifies and surfaces the most recently uploaded document, flags that it supersedes an older version, and cites its source. Compliance is protected.

The platform is powered by Retrieval-Augmented Generation (RAG) — a technology that grounds every AI response in the company's specific, verified data sources rather than general internet knowledge. This is what eliminates hallucinations. Every answer is traceable. Every citation is real.

The system uses Agentic AI principles to intelligently route queries and personalize results based on a user's role, context, and access permissions — so a sales engineer and a warehouse supervisor get different, appropriately scoped answers from the same underlying knowledge base.

Key Capabilities at Launch

Universal Search: The "Everything Agent"

A single intelligent entry point to navigate the entire organizational knowledge base. Every answer cites its source document. Employees stop toggling between SharePoint, Google Drive, and email — and start asking one AI.

Purpose-Built Internal AI Agents

Teams can create specialized agents scoped to specific knowledge folders with their own role-based access control — an HR Agent for benefits and onboarding, a Sales Playbook Agent for competitive intel, an IT Support Agent for troubleshooting, a Procurement Agent for policy directories. All agents run simultaneously from a single shared knowledge base. Department owners manage their own agents without involving IT.

Document Invalidation: Built for Compliance

When a new policy or circular is uploaded, it automatically invalidates the previous version in the AI's knowledge. The AI surfaces only the current document. For procurement, financial services, legal, and government teams, this is not a feature — it is the foundation of audit-readiness.

Native Microsoft Teams Integration

Workspace deploys as an AI agent directly inside Microsoft Teams. Employees search organizational knowledge without switching tools or changing behavior. This was the first integration question asked by every enterprise team that evaluated Workspace in early 2026.

Multi-Model Flexibility

Choose from OpenAI, Claude, Gemini, or Mistral — per agent or per conversation. No vendor lock-in. For regulated industries with specific model compliance requirements, this matters.

Knowledge Gap Tracking

When employees don't find what they need, a feedback signal surfaces the gap. Teams see exactly where documentation is missing or outdated — turning employee frustration into a continuous improvement loop for the knowledge base.

Proven at Scale

The knowledge architecture behind Workspace has already been deployed at scale across Fortune 500 companies and fast-growing enterprises:

• ESAB (Fortune 500 industrial manufacturer) — 20,000+ documents across multiple languages and regions. 100+ hours saved per month. 100% improvement in first-response rates.

• Saudi Aramco — Dual deployment for public-facing website search and internal cross-divisional employee knowledge. Query resolution time reduced from hours to seconds.

• Ranken Technical College — Two AI agents deployed simultaneously for student support and internal staff operations. 4–5 staff hours recovered per day.

IBM's enterprise AI research documented similar outcomes: a sales organization that implemented AI-powered search improved resolution time by 82.5%. The gains are not marginal. They compound across every team, every department, and every timezone the organization operates in.

The acceleration of knowledge access also has a direct impact on organizational learning maturity. Research from Josh Bersin found that companies operating at the highest level of dynamic, AI-enabled learning are 10 times more likely to lead in innovation, 6 times more likely to surpass financial targets, and 16 times better at adapting to change than their peers. Wonderchat Workspace accelerates that path — new hires access complete organizational knowledge from day one, reducing reliance on senior employees and compressing onboarding from weeks to days.

The Dual-Product Advantage No Competitor Can Replicate

What separates Wonderchat Workspace from every standalone internal knowledge tool — including Glean, Bloomfire, and Guru — is a structural architectural advantage.

Wonderchat is the only platform where the same knowledge base simultaneously powers a customer-facing AI chatbot and an internal employee AI. Every competitor in the internal knowledge space is internal-only. Every competitor in the chatbot space is external-only. Wonderchat is both.

Companies already using Wonderchat for customer support get Workspace with zero setup — their existing knowledge base auto-imports instantly, with no retraining or re-uploading. And the cross-sell flywheel runs in both directions: external chatbot customers can activate Workspace immediately; new Workspace customers can deploy a customer-facing AI agent the same day.

"When they see your external agent, they're like, wow. It puts the product in a different category," said Vera Sun, CEO of Wonderchat.

Pricing: Deploy in Minutes, Not Months

Wonderchat Workspace is free to start for teams of up to five. Enterprise teams can access the full platform starting at $25/seat/month — compared to Glean, which starts at $50–65/user/month with a $60,000+ annual minimum and a multi-month deployment timeline.

Enterprise plan includes SSO/SAML/SCIM, audit logs, dedicated customer success, and SLA. Workspace billing is completely separate from Wonderchat's external chatbot product.

"Enterprise teams have been promised that Copilot would fix their knowledge problem. It hasn't — because the problem was never Microsoft. The problem is that organizational knowledge lives everywhere, and no single vendor ecosystem contains it all. Wonderchat Workspace was built to index across arbitrary systems, navigate the complexity, answer with precision, and give every employee — from warehouse floor to executive suite — instant access to what they need to do their job."

— Vera Sun, CEO, Wonderchat

Stop the Scavenger Hunt

Fragmented knowledge and broken internal navigation are costing companies billions in lost productivity and stifling the innovation that comes from employees actually being able to do their jobs. Wonderchat Workspace delivers the private, secure, intelligent navigation layer that enterprise teams have been waiting for — a single source of truth that works with every tool the company already uses, deploys in minutes, and gets smarter as the organization grows.

If your team spends more time searching for information than using it, see how Workspace delivers instant, source-cited answers from your company's documents. Try Workspace for free or schedule a personalized enterprise demo.

Frequently Asked Questions

What is Wonderchat Workspace?

Wonderchat Workspace is a private AI knowledge platform that unifies all of a company's scattered information into a single, intelligent search interface. Instead of hunting through SharePoint, Google Drive, Slack, and other systems, employees can ask questions in natural language and get instant, conversational answers with direct citations to the source documents.

How is Wonderchat Workspace different from Microsoft Copilot?

The main difference is that Wonderchat Workspace connects to all your organizational knowledge systems, whereas Microsoft Copilot is primarily limited to the Microsoft 365 ecosystem. For companies whose critical information resides in various ERPs, custom databases, and non-Microsoft tools, Workspace provides a complete, unified search layer that Copilot cannot, by design.

How does Wonderchat Workspace provide accurate answers?

Wonderchat Workspace provides accurate answers by using a technology called Retrieval-Augmented Generation (RAG). This grounds every AI response in your company's specific, verified documents rather than general internet knowledge, which eliminates hallucinations. Every answer is traceable and includes direct citations to the exact source material it came from.

What data sources can Wonderchat Workspace connect to?

Wonderchat Workspace is designed to be a universal search layer, connecting to a wide range of data sources where organizational knowledge lives. This includes platforms like SharePoint and Google Drive, document formats like PDFs, websites, Enterprise Resource Planning (ERP) systems, and other proprietary or legacy repositories your company relies on.

Is our company's data secure with Wonderchat Workspace?

Yes, your data is secure. Wonderchat Workspace creates a private, isolated AI environment for your organization. The AI sources answers exclusively from your designated company content and does not train on your data. The platform is also SOC 2 and GDPR compliant, meeting stringent enterprise security and data privacy standards.

How does Wonderchat handle outdated or superseded documents?

Wonderchat Workspace includes a feature called Document Invalidation, which is crucial for compliance. When a new policy, manual, or circular is uploaded, it automatically invalidates the previous version in the AI's knowledge base. This means the AI always surfaces the most current and authoritative document, protecting teams in legal, procurement, and finance from relying on outdated information.

Can we use Wonderchat for both internal employees and external customers?

Yes, and this is a unique structural advantage of the Wonderchat platform. The same core knowledge base can power both the internal Wonderchat Workspace for employees and a public-facing AI chatbot for customer support on your website. This dual-product capability means you manage one source of truth for both audiences, a feature not offered by standalone internal knowledge tools.

About Wonderchat

Wonderchat is a dual-product AI platform for customer operations and internal knowledge, founded in Singapore in 2023. Externally, companies deploy AI agents trained on their documentation that resolve 70–92% of customer inquiries autonomously — with native AI + live chat hybrid included. Internally, Wonderchat Workspace gives every employee a private, company-trained AI across SharePoint, Google Drive, ERPs, and all organizational knowledge.

The platform is trusted by 1,000+ clients including Fortune 500 companies ESAB, Aramco, and Trend Micro. It is SOC 2 and GDPR compliant and multi-model (OpenAI, Claude, Gemini, Mistral).

Media Contact

Vera Sun, CEO
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