Wealth management and insurance platforms have captured significant private equity attention.  

This reflects the broader financial technology (FinTech) investment boom: Global FinTech investment saw a resurgence in 2025, reaching US$53 billion.[1] PE and venture capital investment in FinTech saw a particularly large increase, jumping 44% from 2024–2025 and totaling US$18.54 billion.[2] This growth has continued into 2026, with the US deal count  in Q1 increasing by 33% year over year.[3] Much of the success in this space has occurred with the convergence of AI and infrastructure.

Yet, each subsector of the FinTech landscape faces distinct data integration challenges. The needs of underwriting technology at an insurance managing general agent (MGA) are different from the needs of registered investment advisors (RIAs), for instance. This has led to varying levels of adoption of integrated technology stacks across companies and subsectors. 

In some cases, a loose federation of platforms can be viable as long as coherent reporting is strictly maintained. However, this often isn’t the most efficient structure, and establishing an integrated technology stack can open new revenue streams.  

In both wealth and insurance, some platforms monetize their integrated technology by charging affiliates, or subsidiaries, platform fees, creating incremental monetization opportunities and cost savings. Based on A&M’s experience, larger platforms, including those with about US$10 billion in assets, can find meaningful margin expansion when they acquire an asset, but because they typically already have integrated technology stacks, the greatest gains come from bringing smaller firms onto these platforms. 

Data quality and technical debt are real issues that need to be fully evaluated during due diligence.  

Technical debt—the lack of updated, integrated technology platforms—threatens innovation, customer growth, and the enterprise value of strategic assets. It often shows up in areas, such as operating costs, that drag down improvement, frustrate technical staff, and worsen customer experience.[4]

A&M has found that maintaining three or more disparate core systems, like financial reporting, enterprise resource planning, customer relationship management (CRM), and other systems, can increase the risk of technical debt and lead to reporting bottlenecks, slowed integration, and an inability to tell a coherent growth story. 

The resulting fragmented data can be a deal killer, leading to remedial technology alignment efforts that can delay sale opportunities in the near future. However, disparate systems are not a deal breaker if the platform can produce defensible reporting and demonstrate a path to improvement. To do this, businesses must adapt their diligence activities:

Targets are rarely static, and during a sale, many may be at the mid-transformation stage. This means core migrations are in progress, cost-out programs are partially complete, or prior acquisition integrations have not been resolved. 

Traditional backward-looking diligence is insufficient, so buyers must model what the business is becoming, not just what it currently is. It means evaluating the run-rate against realized economics and separating what already shows up in the profit and loss statement from revenue gains that are only expected, such as moving contracts onto more favorable terms. 

In some cases, there’s a danger of double counting synergies on both the cost and revenue side. This can be the case when a seller's cost-reduction program and the buyer's synergy model can claim overlapping value and will need to be reconciled line by line.  

From a revenue perspective, for example, sellers may want credit for identified uplift opportunities—such as moving businesses acquired by an insurance broker to more economically favorable carrier and MGA contracts—that have not yet been enacted. To get that credit, sellers need to demonstrate a successful history of achieving such uplift, relying on formal tracking processes to identify and implement expected opportunities over the expected integration timeline. 

Sometimes a seller may want credit for the redundancies caused by running two systems in parallel, but it later turns out the company continues to pay duplicative costs for another several years or consolidates the systems. The timeline is critical here. Redundancies that are expected to be resolved within about 12 months of close should be added back to EBITDA. Scrutinize other redundancies with longer time horizons. 

Inherited integration debt can also be a risk. If a target is itself a roll-up, the buyer can inherit duplicate systems, un-migrated books, or parallel operations teams not visible in the deal memorandum. A forward-looking operating model should stress-test management projections against realistic integration and retention scenarios to provide forecast credibility, which becomes the real deliverable.  

Real-time EBITDA by business unit is a standard buyer request. Firms that can provide it move faster through diligence. The diligence team will evaluate data hygiene, determining what tracking systems exist, the consistency of key performance indicator (KPI) definitions, and the ability to benchmark against market returns. 

Aggregating and reformatting existing data into buyer-ready KPIs prior to beginning the sales process can expedite the search for potential buyers. Failing to meet this goal means pausing a deal to build systems from scratch. 

Margin expansion timelines vary with the depth of integration. Reporting consolidation can deliver visibility in as little as a quarter, functional and back-office consolidation over the following months, and full platform integration well beyond a year. However, according to A&M, a hybrid model that keeps some systems deliberately separate runs around 18 months, plus roughly six months of stabilization on top, so closer to two years end to end. For that reason, beginning consolidation and integration sooner is better to realize synergies and benefit from better financial reporting among subsidiaries. Those who cannot quickly integrate their data platforms will lag competitors, and the inability to create timely reports will become a drag on value and margins. 

Failure to demonstrate solid, healthy roll-up integration can put sale premiums at risk at exit due to its impact on the quality of earnings.  

Investors will want to eliminate common redundancies, such as duplicate CRM, accounting, and finance systems. Synergies can also be found in performance reporting and billing platforms. 

One typical area with hidden assets or liabilities is in vendor and contract portfolios. Beyond financial diligence, teams need to evaluate change-of-control triggers, minimum commitments, legacy wind-downs, and transition services agreements. This is where investors can find value or risk in contract terms and frameworks. 

While integration may not require full centralization, platform management needs to have a strong command of and reporting for the full business. Ultimately, standardized financial reporting matters more than operational uniformity.

In some subsectors like RIAs, companies must demonstrate client revenue retention rates of  90%–95%, a standard closing condition in purchase agreements.[5] ome acquiring firms in this space are also using technology models to shift trust from firm individuals to the company, and the target’s tech stack is increasingly viewed as core to the enterprise value.[6] This underlines the importance of clean integrated data.

Regulated targets, such as broker-dealers, trust companies, insurance carriers, MGAs, and money transmitters, carry obligations that transfer at close.  

Regulators do not adhere to deal timelines, a factor that requires all in-flight compliance activity, open remediation, and licensing actions to be fully mapped across every applicable jurisdiction before the deal is locked up. 

Retaining key people should be a priority, especially on highly active teams (including those running in-flight transformation programs, highly effective sales teams, and top management) that may be subject to burnout during transitions. These groups may be among the most marketable, posing a real risk to asset integration. Retention is particularly important in wealth and insurance platforms, where technical knowledge held by key employees is critical to operations.  

Approximately 47% of key employees leave in the 12 months following an acquisition, and this number can be as high as 75% within three years.[7]

Retention planning should be a diligence output, not an afterthought once the deal closes. It requires adding professionals skilled in human resources and recruitment to a holistic diligence team.  

Often, there can be a misalignment against the seller’s management incentive programs that needs to be addressed. Earn-outs and management incentive plan structures may incentivize completing in-flight work in ways that conflict with the buyer's post-close plan. This needs to be surfaced during diligence, not during governance or integration. 

Cost synergies usually get the most diligence scrutiny by PEs and corporates, but what can often drive model value are revenue synergies realized through cross-selling, expanding into new markets, and pricing power. These can drive revenue and expand margins relatively quickly. Seek these accretive opportunities during the evaluation process. 

Rigorous commercial diligence also rewards the effort and exposes risks. It examines customer-level economics, overlap and cannibalization, pricing elasticity, win-loss patterns, realistic cross-sell conversion rates, and total addressable market stress-testing, among other areas. 

AI adoption is uneven. Some insurance platforms use AI for document ingestion and data extraction, but fully AI-native data lakes remain the exception. 

Both PE firms and corporates are increasingly considering data health as essential and strategic infrastructure, understanding that before AI applications can be launched, data needs to be collected, aligned, cleaned, and enhanced. [8]

AI should be viewed as an enabler, not the standard, and should be framed as an accelerant to existing data infrastructure strategies. This requires foundational data hygiene. 

The highest near-term return on investment can come from aggregating client-level data into clean performance platforms, enabling real-time margin visibility. Cleansing raw data from acquired entities is crucial, especially if there’s an amalgamation of unintegrated technologies. 

Investors should establish centralized data lakes, where platforms have a dedicated data function. AI tools can then compress the timeline to buyer-ready reporting significantly. 

From the beginning, the ability to “tell the story” with  coherent and defensible reporting is paramount. It is the most consistent differentiator across successful roll-ups and should be stressed throughout diligence teams and their efforts. 

In wealth and insurance platform roll-ups, diligence must evolve. As these platforms continue to change, there’s a need for forward-looking operating models, retention underwriting, and in-flight transformation analysis. It’s no longer optional. 

As integrated tech stacks are becoming table stakes at scale, the margin expansion opportunity lies in bringing smaller platforms onto mature infrastructure. 

Post-deal, the best outcomes come to firms that start the data governance and reporting infrastructure work earlier in the hold period, not to those who seek to create value late in exit preparations.  

Alvarez & Marsal's Global Transaction Advisory Group's (TAG) and Corporate Transactions Group's Financial Services practice specialize in leading complex transactions across the financial and technology sectors. Our team brings deep functional expertise to support businesses through every stage of the deal process, from M&A diligence, including buy-side and sell-side due diligence, data analytics and insights, accounting advisory, and carve-out financial assessment, through to post-close integration. Our transaction services are complemented by wider firm capabilities, which range from commercial due diligence and capital and regulatory assessments to synergy assessments, post-merger integration, and tax support.  

With a large network of global senior-level professionals involved at every step, we ensure real-time communication of critical issues and an intense focus on resolving key deal challenges. Our group’s offering, combined with A&M’s operational, functional, and industry expertise with tax services, maximizes the value of every transaction.