How a global consumer brand turned scattered information into reliable self-service.
Knowledge doesn’t create value simply because it exists. It must be captured, organized, and made easy for people to find and use.
Emerson helped a global consumer brand prepare its technology knowledge for deployment through an enterprise self-service portal while building the processes, roles, and habits needed to keep that knowledge useful over time.
The Opportunity
The company needed stronger knowledge management to get more value from its IT self-service portal. The goals were clear:
- Chatbot Readiness: Structured, cataloged knowledge enables the chatbot to deliver useful responses.
- Self-Service: Employees find answers through the portal instead of opening a ticket.
- Faster Resolution: Common IT issues are resolved in minutes, not after waiting in a queue.
- Consistent Support: Employees and the outsourced helpdesk use the same trusted answers.
- Lower Support Costs: Captured answers keep the helpdesk from solving the same issues repeatedly.
The Challenge
The technology division had an employee portal, but neither employees nor the outsourced helpdesk had a reliable knowledge base to support them.
There were no published knowledge articles or chatbot. Critical information lived largely in people’s heads, limiting self-service and creating inconsistent support.
The company needed more than a one-time documentation effort. It needed a sustainable way to create, manage, and improve knowledge over time.
Emerson’s Approach
Over three years, Emerson helped the division build the content, technology, and operating practices needed to scale self-service.
The team expanded the knowledge library nearly sixfold in its first year and introduced templates and governance to keep content consistent and useful. That foundation enabled a chatbot integrated with the portal, helpdesk, and knowledge base.
The work unfolded in four phases:
Foundation 2023
- Established the knowledge management program and structure.
- Built the initial library of IT support articles.
- Paired the platform build with change management.
Expansion 2023 to 2024
- Introduced governance, templates, and publishing standards.
- Captured essential know-how that had never been documented.
- Expanded the library across every support category.
Enterprise Launch Late 2024 to 2025
- Prepared more than 100 articles for chatbot use.
- Supported the launch of a unified portal for Technology, HR, and Finance.
- Integrated the chatbot, knowledge base, and helpdesk into one support experience.
Distributed Ownership 2026
- Enabled subject matter experts to create and maintain content.
- Established a clear review and approval process.
- Simplified templates, categories, and workflows to reduce reliance on developers.
Results
By project close, the division had gone from no formal knowledge management capability to a sustainable program with growing adoption. Platform data showed:
- 229 vetted articles available in multiple languages to employees and the IT helpdesk.
- 20,800+ article views in the previous 12 months, many delivered through the chatbot.
- 154% growth in monthly views from 967 in December to 2,454 in June.
- Four platform upgrades successfully validated.
The Lasting Impact
The lasting change wasn’t the technology — it was how the work got done. Knowledge shifted from one central publisher to the experts closest to it, supported by clear governance.
| Before | After |
| One person created, reviewed, and published every article. | Subject matter experts create and maintain their own content. |
| Updates stalled when the publisher was unavailable. | Governed approvals keep publishing moving. |
| The knowledge team spent time retyping information from experts. | Experts publish directly, improving speed and accuracy. |
The result is a sustainable model that keeps knowledge current, supports the chatbot, and can grow with the business.
A Sustainable Handoff
A successful engagement keeps delivering after the consultants leave. Before handoff, Emerson ensured:
- A permanent business owner was in place.
- Content owners were trained and publishing.
- Process and training materials were complete.
- Every remaining task had a named owner.
The division was ready to manage and improve the program independently.
Key Takeaways
Technology alone doesn’t make self-service knowledge management work.
- A chatbot needs knowledge it can trust. Useful answers depend on content that is current, structured, and governed.
- Scale requires shared ownership. Subject matter experts must be able to create and maintain content without a central bottleneck.
- Sustainability must be built in. Clear governance, training, and change support keep the program growing after launch.
The division went from no formal knowledge management to a scalable program that helps employees find answers, strengthens helpdesk support, and operates independently.