Trusted by Private Equity firms and their Portcos, Novoslo works with these companies to implement AI and automation systems that improve operational efficiency, scalability, and execution.

Private equity firms are under increasing pressure to create operational value across their portfolio companies. As traditional levers such as cost-cutting and financial engineering become less effective, many firms are turning to artificial intelligence and automation to improve efficiency, margins, and scalability.

Yet despite growing interest, AI adoption across private equity portfolios often fails to deliver meaningful results.

This is the problem Novoslo was founded to solve.

Novoslo is an AI and automation consulting firm founded by Keenan Torcato and Shannon Torcato, focused specifically on helping private equity firms and their portfolio companies implement AI in a structured, execution-driven way. Rather than treating AI as a technology experiment, Novoslo approaches it as an operational value creation discipline.

The Execution Gap Inside Portfolio Companies

Across many private equity-backed businesses, AI initiatives tend to emerge in a fragmented manner. Individual departments adopt tools independently. Vendors introduce automation pilots. Leadership teams approve software investments without a clear operating model behind them.

The result is predictable: overlapping systems, low adoption, limited visibility, and little impact on EBITDA.

For private equity firms, this creates frustration. Technology spend increases, but operational leverage does not. Manual workflows persist. Reporting remains inconsistent. AI becomes perceived as a cost rather than a driver of value.

Novoslo works with private equity firms to reverse this dynamic by designing AI systems that are tightly aligned with how portfolio companies actually operate.

An Operator-Led Approach to AI in Private Equity

Founded by operators rather than career consultants, Novoslo partners directly with private equity firms and portfolio leadership teams to design and implement AI and automation initiatives that support value creation objectives.

Keenan Torcato brings experience in business growth strategy, revenue operations, and system design across digital and service-based businesses. Shannon Torcato contributes expertise in operational workflow design and process optimization, helping ensure that AI initiatives integrate seamlessly into day-to-day operations.

Instead of starting with tools, Novoslo begins by analyzing workflows across sales, operations, finance, and customer-facing teams. The goal is to identify friction points, manual processes, and decision bottlenecks that limit scalability.

Only then are AI and automation applied — selectively and deliberately — where they can deliver measurable operational improvements.

Solving Common Private Equity Pain Points

Novoslo is typically engaged when private equity firms encounter recurring challenges across their portfolios, including:

• Manual processes that slow execution and increase cost

• Fragmented reporting that limits visibility at the fund level

• Inconsistent operational systems across portfolio companies

• Overreliance on headcount to support growth

• Difficulty integrating add-on acquisitions efficiently

By acting as an extension of the operating team, Novoslo helps portfolio companies move from ad hoc execution to structured, system-driven operations powered by AI.

Where Novoslo Delivers the Most Impact

Across private equity-backed businesses, Novoslo focuses on a few high-impact areas that consistently influence value creation:

Operational Efficiency

Automating repetitive workflows in finance, operations, and support functions to reduce cost and improve execution speed.

Revenue Operations

Implementing AI-enabled systems that improve pipeline visibility, forecasting accuracy, and sales process consistency.

Reporting and Performance Visibility

Designing centralized data systems that provide real-time insight into operational performance for both portfolio leadership and private equity teams.

Scalability and Integration

Building systems that support growth and add-on acquisitions without introducing operational complexity.

These improvements compound over the hold period and reduce dependency on manual oversight.

Reducing Execution Risk Across the Hold Period

One of the biggest risks private equity firms face with AI initiatives is adoption failure. Tools that appear promising during diligence often fail once deployed due to lack of operational alignment.

Novoslo mitigates this risk by working closely with leadership teams to ensure AI systems integrate into existing workflows and decision-making processes. The focus is on usability, adoption, and long-term sustainability — not theoretical capabilities.

This operator-led approach helps ensure that AI becomes part of how the business runs, rather than an external layer that teams resist.

Building Exit-Ready Portfolio Companies

Beyond short-term optimization, Novoslo helps private equity firms prepare portfolio companies for exit.

Businesses with well-documented systems, strong data infrastructure, and scalable operations are more attractive to buyers. They signal reduced key-person risk, improved predictability, and stronger future growth potential.

By embedding AI and automation into core operations, Novoslo helps portfolio companies present a clearer, more compelling operational narrative during diligence.

AI as a Value Creation Discipline

For private equity firms, AI is no longer an experimental initiative. It is becoming a core component of modern value creation strategies.

Novoslo exists to help private equity firms and their portfolio companies execute AI with clarity, discipline, and operational focus. By aligning technology with real business workflows, Novoslo helps transform AI from a buzzword into a measurable driver of performance.

More information about Novoslo and its work with private equity firms can be found on our website