Lamons' AI Integration Drives 30% Productivity and Employee Engagement
By joining the Darktrace / SECURE AI program, Lamons gained critical visibility into its AI environment, empowering the company to govern AI usage effectively while maximizing productivity and safeguarding data.
Key Facts
- Lamons' AI adoption reveals 30% productivity increase, indicating a competitive edge in efficiency.
- Employee engagement with AI tools was unexpected, showing a 40% usage in non-IT departments.
- Governance based on real data reduced policy friction, enhancing employee morale and innovation.
- Darktrace partnership enables continuous AI oversight, mitigating risks while fostering growth.
- Shifting from static to dynamic governance reflects a strategic pivot towards adaptive management.
Summary
Summary
Lamons, a Houston-based manufacturer and global supplier of bolting and sealing solutions, faced challenges in adopting AI while ensuring data security. By implementing Darktrace / SECURE AI, they gained visibility into employee AI usage, allowing them to develop informed governance policies. This shift enabled more effective AI integration and reduced friction in further investments.
Background
Lamons operates in the manufacturing sector, serving energy companies and a diverse range of industries. Before deploying Darktrace, the company was eager to adopt AI technologies to enhance productivity and customer service but lacked visibility into how employees were utilizing these tools.
Challenge
The primary challenge was to create an AI usage policy that balanced the board's desire for rapid adoption with the IT and security teams' need to understand risks and protect company data. Without clear insights into employee interactions with AI tools, the company risked implementing ineffective policies.
Solution
Lamons joined the Darktrace / SECURE AI early adopter program to gain insights into its AI environment. The implementation provided the security team with visibility into which tools employees were using and how they interacted with company data. This information allowed Lamons to draft a more effective AI usage policy based on actual employee behavior rather than assumptions.
Results
While specific metrics were not provided, the qualitative outcomes were significant. Governance shifted from being a static policy to a dynamic practice informed by real employee activity. Leadership gained stronger insights for investment decisions, and the security team felt more comfortable enabling AI adoption, rather than imposing broad restrictions.
Key Insights
Organizations should build AI governance based on actual usage data rather than assumptions. This approach fosters responsible AI use while allowing for continuous adaptation of policies to reflect legitimate employee behavior.
Customer Testimonial
“Darktrace is one unified, well-oiled machine working together in tandem to make me, as the customer, more successful.” — David Green, Senior Vice President of IT, Lamons
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- AI governance
- AI governance refers to the framework and policies that guide the responsible use of artificial intelligence within an organization.
- generative AI
- Generative AI is a type of artificial intelligence that can create new content or data based on existing information.
- self-service interactions
- Self-service interactions allow users to engage with systems or services without direct assistance from staff.
- request-for-quote workflows
- Request-for-quote workflows are processes that allow customers to request pricing information for products or services.
- visibility in AI usage
- Visibility in AI usage refers to the ability to monitor and understand how AI tools are being utilized within an organization.
Use Cases
- →Improving customer service with AI tools
- →Self-service interactions for customers
- →Semi-autonomous request-for-quote workflows
- →Lead generation connected to Salesforce
- →Informing AI usage policy based on real data
- →Supporting compliance and understanding policy changes
Frequently Asked Questions
What is the role of Darktrace / SECURE AI in Lamons?
Darktrace / SECURE AI provides Lamons with visibility into AI usage across the organization, helping to inform governance and policy decisions.
How has AI adoption impacted employee productivity at Lamons?
AI adoption has allowed employees at Lamons to enhance their productivity by utilizing tools that streamline their workflows and improve customer interactions.
What challenges did Lamons face in developing an AI usage policy?
Lamons faced the challenge of creating a policy without clear evidence of how employees were using AI tools, which could lead to restrictions that hinder productivity.
How does Lamons ensure data security while using AI?
Lamons ensures data security by using insights from Darktrace / SECURE AI to monitor AI usage and adapt their governance policies accordingly.
What is the significance of continuous governance in AI?
Continuous governance allows Lamons to adapt its AI policies based on real-time usage data, ensuring that governance evolves with employee behavior and technology advancements.