Financial Institutions
Banks, insurers, foreign bank branches, and larger credit unions that need to strengthen model risk management, operational resilience, or AI governance.
Regulatory expectations are increasing around how institutions identify models, understand operational dependencies, test resilience, and govern the use of AI. In Canada, OSFI E-23 and E-21 are driving much of this work. For organizations with relevant European operations or exposure, DORA may introduce additional requirements.
Much of the underlying work is shared: knowing what models and critical processes exist, what they depend on, who is accountable for them, and how they behave when something goes wrong.
Model inventories and risk classification aligned with E-23. Critical-operation and dependency mapping for E-21. Impact tolerances, scenario testing, governance frameworks, lifecycle controls, and supporting documentation. Where required, we extend the same operating and governance foundation to related regulatory or standards requirements.
A practical control environment that meets regulatory expectations, produces defensible evidence for supervisory review, and gives management a clearer view of how models, processes, systems, and data fit together.
The same work also creates a useful foundation for future AI and automation initiatives by showing where decisions are made, where information moves, and where operational dependencies exist.
Private Equity Firms
Private equity firms investing in companies below $1 billion in enterprise value, including operating partners, sector-focused funds, and roll-up platforms.
AI can improve portfolio company economics, but identifying where it will actually matter is difficult. The most attractive opportunities are usually found in specific workflows where labour, delays, rework, or capacity constraints have a measurable financial impact.
For investors, the challenge is separating those opportunities from technology projects that are interesting but unlikely to affect the investment case.
Pre-acquisition assessment of where AI and automation could create measurable value, what the target's systems and data can realistically support, and what should be prioritized after close.
For portfolio companies, we translate those findings into a focused implementation plan, help redesign the highest-value workflows, and track the financial impact as improvements are delivered.
A clear view of where AI can contribute to the investment thesis, followed by an operating plan tied to measurable cost, capacity, or margin improvement.
The work also creates a documented record of what was changed, what value was realized, and how the underlying capabilities evolved during the hold period.
Mid-Market Operating Companies
Companies with approximately $50 million to $1 billion in revenue, particularly in manufacturing, distribution, insurance, financial services, and other process-intensive industries.
Many organizations are investing in AI without first determining which workflows are suitable for it.
Processes often contain unclear ownership, manual handoffs, inconsistent exception handling, and information spread across multiple systems. Automating those processes without fixing the underlying design usually adds complexity rather than removing it.
We identify the workflows where AI and automation can materially improve cost, capacity, speed, or service.
We then redesign those workflows around clear decision rights, defined exceptions, reliable data flows, and appropriate controls. Where technology is required, we help determine what should be built, bought, integrated, or left alone.
Fewer manual steps, clearer decisions, cleaner information flows, and measurable improvement in the operations selected for redesign.
The result is not dependent on a particular AI platform or vendor. The underlying process is improved first, allowing technology to be introduced where it has a clear operational and financial purpose.
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A thirty-minute briefing is usually enough to understand the situation, determine whether we can help, and identify the appropriate next step.
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