Although the global technology ecosystem has made giant leaps in recent years, industry statistics and studies show that three-quarters of insurance companies still heavily rely on legacy systems.
If you are looking to implement MGA Software today, you are probably suffering the harsh consequences of this technical debt in your daily operations: slow development times, bottlenecks with your broker network, and ever-growing IT operational and maintenance costs. In this guide, we promise to break down how new platforms are revolutionizing the insurance sector, streamlining every process, and giving control back to underwriting teams.
The technological leap for MGAs
| Key Feature | Traditional Legacy Systems | MGA Software (Low-Code) |
| Deployment Time | Months or years of heavy development | Days or weeks (Plug & Play) |
| Operational Flexibility | Rigid, closed ecosystem, and data silos | Highly modular, seamless API integrations |
| IT Costs | High (constant maintenance and manual coding) | Reduced (automated maintenance) |
| Relationship with Brokers | Manual, based on re-typing PDFs and email chains | Automated, dedicated portals, and AI for triage |
What is MGA software and the initial industry context
An MGA Software is an end-to-end technology management platform specifically designed to cover the complex needs of Managing General Agents (underwriting agencies). Its foundational goal is to digitalize, unify, and automate the entire insurance policy lifecycle: from intake, quoting, and issuance (quote and bind), to pure administration, intelligent claims management, and underlying accounting.
Historically, building and maintaining these tools required armies of programmers, million-dollar investments, and eternal delivery cycles. However, at Weecover, we have witnessed and led from the front lines how this paradigm has radically shifted. Today, the technical and business answer does not lie in programming lines of code from scratch, but rather in adopting Low-Code platforms. These disruptive technological architectures allow anyone in the business, even without IT experience, to build the applications they need. To give you some context on the magnitude of this change: the global low-code development platform market was valued at $34.7 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 11.6% until 2034. We are looking at a definitive standard, not just a passing trend.
Why It matters: benefits of technological agility in underwriting
Investing in a modern, next-generation MGA Software is not an aesthetic whim or a simple interface upgrade; it is a critical matter of operational survival and scalable growth capacity. Recent studies highlight that 95% of companies have already used this type of tool within the past year.
Hyper-Fast and iterative product development
Traditional platforms require deep programming knowledge for even the smallest adjustment to a rate or coverage. With modern low-code solutions, prototyping accelerates exponentially. This allows MGAs to respond to market changes almost in real-time, launching new insurance products in a matter of weeks instead of years.
Radical reduction in operational and IT costs
Launching and running insurance products no longer requires the constant toll of development costs associated with rigid core systems. By automating routine processes, there are fewer inefficiencies and fewer human errors to fix. This means specialized IT staff are freed from repetitive tasks and constant “firefighting,” allowing them to focus on truly complex work that brings added value to the company.
The power of a modular and progressive approach
From our direct experience with multiple integrations, we have verified that real success in an agency’s digital transformation does not require demolishing current infrastructure overnight. A good MGA Software allows for a gradual, iterative approach. You can start by integrating an accounting module today and a new claims management system tomorrow. This makes the financial and resource investment much easier to take on and manage.
How It works: optimizing the MGA-broker relationship step by step
Brokers are undoubtedly the lifeblood of the insurance industry. They are vital partners; figures show that, for example in the UK, they intermediate 77% of general insurance and up to 94% of commercial insurance. And their influence is not showing signs of waning (an annual growth of 9% is expected through 2030). However, today’s processes are broken. This is how MGA Software steps in and solves bottlenecks in submissions step-by-step:
Step 1: Omnichannel intake and data extraction via AI
The great historical struggle for underwriters lies in data entry: brokers send risk details in whatever format suits them best (dozens of types of PDFs, Word documents, Excel spreadsheets, or endless email threads). This absolute lack of standardization and consistency shifts the entire workload onto the underwriter, who must extract and process the data manually. Underwriting teams often only manage to process between 30% and 50% of the submissions they receive due to this document chaos, resulting in a massive loss of potential sales. Modern platforms work by standardizing data capture and enabling automatic information extraction, even through AI.
Step 2: Automated and intelligent submission triage
Instead of a senior underwriter having to manually review the inbox to categorize which risk is desirable and which to quote first, automated rules can perform this triage. An MGA Software allows submissions to be classified based on complexity, the company’s underwriting strategy, and the actual probability of the risk being placed. Simple risks flow through an automated underwriting system, returning a flawless quote, while more complex processes prompt human intervention.
Step 3: Direct interaction via the broker portal
Inefficiencies multiply with back-and-forth communications clarifying risk details. A modern system provides a unified portal dedicated exclusively to brokers. In this space, the broker self-manages quotes, requests renewals, makes policy changes, and views client databases without flooding the underwriters’ inboxes. Friction drops to zero.
Practical advice for choosing your platform
If your agency is evaluating different options in the market, we recommend applying these three filters before making a decision:
- Opt for Low-Code Models: The massive operational differences among insurers, constantly evolving legislative frameworks, and high algorithmic complexity of insurance products mean pre-built templates quickly fall short. Low-Code software will require technical support for setup, but it is the best way to guarantee total customization, allowing you to inject code strictly where your business logic requires it.
- Prioritize Hyperconnectivity (API-First Mindset): Your MGA Software cannot be born as an isolated silo. It must speak natively, fluidly, and seamlessly with your current accounting software, CRM, and third-party tools to achieve a holistic 360-degree view of the customer.
- Look closely at real NLP (Natural Language Processing) capabilities: Ensure that the chosen tool has demonstrable technology to read and structure the PDFs, spreadsheets, and emails sent by your brokers. It is in this digitalization of data intake that true savings of thousands of operational hours can be found.
Common mistakes you must avoid
- Completely Ignoring the Broker’s User Experience: On a daily basis, we see a recurring, massive mistake: many MGAs design and implement software thinking exclusively about the underwriter’s convenience and internal workflows. If the new process requires the broker to fill out forms on portals that are three times longer or more tedious than sending an email, they simply won’t use it and will take the premium to the competition. The design must be focused on adding value to both sides.
- Attempting the “Big Bang” Migration Chimera: Wanting to change, migrate, and deploy the agency’s entire IT system all at once is the perfect recipe for technology project failure. The best results are always obtained through gradual transitions.
- Underestimating the Product Definition Phase: Even when using agile Low-Code platforms, you need to perfectly audit and map out your product logic, rates, and business rules before you begin configuring the software.
Conclusion
The close business bond between broker and underwriter is centuries old and remains the engine of the industry, but its administrative processes do not have to remain anchored in the past. Bottlenecks generated by reliance on unstructured documents and rigid systems are limiting growth.
Adopting an MGA Software based on agile, low-code architectures is the best way to survive and stand out in a market where response speed, data accuracy, and product agility are the primary competitive differentiators. At Weecover, it is clear to us that drastically reducing time-to-market and optimizing intermediary submissions not only cuts IT operational expenses but also unlocks team talent to focus on what truly matters: underwriting complex, high-margin risks, providing creative solutions, and ensuring sustained, long-term growth.
Frequently asked questions (FAQ)
Why should MGAs rule out No-Code and choose Low-Code?The insurance sector is inherently complex. No-Code is geared towards creating highly standardized and rigid applications via visual interfaces, which clashes head-on with the need to adapt clauses, local regulations, and complex dynamic rates. Low-Code combines visual speed with the freedom to program specific rules, making it the best option for a professional MGA looking to scale without limitations.
How long does it really take to implement modern MGA Software?Unlike traditional legacy systems built from scratch—which can hijack a company’s resources for long months or even years—pre-configured solutions based on low-code can be operational and adapted to the exact needs of your business within a matter of a few weeks.
How does implementing this software affect sales and quoting turn-around times?The impact on revenue is drastically positive. By reducing the administrative work of manually extracting data, automating triage, and avoiding unnecessary re-work caused by human error, the time it takes for a broker to receive a quote plummets. This directly increases partner satisfaction, loyalty, and ultimately, sales conversion volumes.
