Lakshmi Finance Center Launches AI Knowledge Engine to Transform Enterprise Learning and Internal Intelligence Sharing
The AI-driven platform enables organizations to unify knowledge assets, surface relevant expertise, and deliver contextual insights in real time—bridging decision-making gaps across functions.
New York, NY -- Lakshmi Finance Center, a pioneer in intelligent system architecture and applied automation, today announced the release of its newest enterprise solution: the AI Knowledge Engine (AI-KE)—a platform designed to help organizations extract value from internal knowledge faster, more accurately, and at scale.
Powered by the TradeGenius AI 4.0 framework, AI-KE acts as an intelligent layer across an organization’s documents, databases, chat histories, training content, and subject matter repositories. Through contextual search, guided inquiry, and semantic mapping, it transforms fragmented knowledge into a continuously accessible, actionable resource.
“Enterprises aren’t struggling with a lack of knowledge—they’re struggling with how to find and apply it efficiently,” said Jonathan Dale Benton, Founder and CEO of Lakshmi Finance Center. “AI-KE makes institutional knowledge searchable, explainable, and aligned to how people work.”
Core features of the platform include:
Multimodal search across text, tables, images, and historical Q&A
Auto-generated knowledge graphs, linking policies, people, insights, and outcomes
Real-time recommendation engine that surfaces relevant procedures, past cases, or expert commentary based on user context
Role-based learning prompts, delivering tailored knowledge updates to employees based on department, task, or recent activity
AI-KE is designed for seamless integration with productivity tools such as Slack, Microsoft Teams, Notion, and Confluence, allowing employees to retrieve relevant guidance during real-time workflows—without switching systems.
In early enterprise pilots, teams using AI-KE saw a 60% reduction in time-to-answer for common internal queries and a 45% improvement in onboarding efficiency for new hires. Knowledge fragmentation—previously cited as a barrier to speed and alignment—was significantly reduced across multi-location departments.
The system includes explainable logic pathways and citation tracing, enabling users to view exactly how recommendations were derived and which documents or contributors informed each response. Human moderators or team leads can review, endorse, or annotate content surfaced by AI, ensuring editorial oversight and alignment with compliance or brand tone.
Lakshmi Finance Center has also launched a parallel Knowledge Equity Program, providing subsidized access to nonprofits, educational institutions, and research networks working to improve internal knowledge access for under-resourced teams.
“We see AI not as a library replacement, but as a librarian that knows your needs before you ask,” Benton added. “The AI Knowledge Engine makes knowledge work—faster, fairer, and more fluid.”
AI-KE is now available at knowledge.lakshmiplatform.com, with starter kits, team integrations, and use-case templates available for enterprise onboarding.
Through this launch, Lakshmi Finance Center continues to advance its mission of building intelligent, human-aligned systems that turn data into wisdom—and enable teams to act with clarity, speed, and shared understanding.
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Contact Information:
Media Contact
Company Name: Lakshmi Finance Center
Contact Person: Charlotte Evans
City: San Diego
State: California
Email: contact@lakshmifinance.com
Website: https://www.lakshmifinance.com/
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