L&C Mortgages Boosts Efficiency with OMS Tech Integration

Article Highlights
Off On

London & Country Mortgages (L&C), a prominent player in the mortgage industry, has made a substantial advancement by integrating the One Mortgage System (OMS) customer relationship management (CRM) system into its operations. This strategic move reflects a broader industry trend of embracing digital solutions to streamline processes and enhance customer engagement. The OMS CRM system is crafted to optimize workflows, manage data efficiently, and promote better interactions with clients, thus offering a comprehensive platform that supports various product areas such as residential, buy-to-let, and commercial mortgages. With OMS’s capability of connecting with over 45 third-party providers, L&C Mortgages is well-positioned to harness the full potential of this innovative technology to drive growth and transformation in a highly competitive market.

A Transformative Partnership for the Future

The collaboration between L&C Mortgages and OMS marks a pivotal step in leveraging advanced technology for improved operational efficiency and customer satisfaction. Dale Jannels, CEO of OMS, expressed his eagerness to bolster L&C Mortgages, emphasizing the adaptability and scalability of their custom CRM solution. This partnership seeks to refine processes and elevate the customer journey, affirming OMS’s commitment to digital transformation in the mortgage sector. Mark Harrington, CEO of L&C Mortgages, highlighted the meticulous selection process that led them to choose OMS as their CRM partner, praising the company’s innovative and flexible approach as essential elements in their decision. He envisions this partnership as a catalyst for L&C’s growth and evolution in the industry. With tech innovations becoming vital for competitive standing and enhanced service offerings, aligning with OMS positions L&C Mortgages to boost its efficiency and enrich customer experiences, potentially setting a trend for others in the industry to pursue similar tech collaborations.

Explore more

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and