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Sales Performance Management

What is SPM & Why Financial Services is Different

Sales Performance Management is the end-to-end system for planning, executing, and rewarding sales performance. In most industries, this is complex. In financial services, it’s uniquely so.

Financial services sales operate under constraints that generic consulting firms don’t understand:
 

  • Highly regulated compensation structures (MiFID II, conduct risk, fiduciary standards)

  • Long product life cycles and deferred/recurring revenue models

  • Multi-channel distribution with complex attribution - multiple people touch the same client and revenue

  • Risk of mis-selling and conduct breaches that can trigger regulatory action

  • Performance data scattered across CRM, finance, HR, and compliance systems with no single source of truth


A well-designed SPM framework balances revenue growth with client outcomes, risk management, and regulatory compliance. It creates a single version of the truth for how performance is defined, measured, and rewarded.

Why SPM is Broken at Most Firms

  • Quotas feel arbitrary - handed down, then "spread around" based on politics or history

  • Pipeline looks healthy in the deck, but stale deals and over-optimistic forecasts hide underneath

  • Incentive plans are complicated to calculate and harder to explain

  • Best salespeople spend shocking amounts of time on manual admin instead of selling

  • Performance reviews happen once a year - far too late to change behaviour

Why Process Comes Before AI

AI Doesn’t Fix Broken Processes. It Amplifies Them.

Every major technology vendor - from Salesforce to Microsoft to Anthropic - is racing to sell AI into financial services. Consulting firms are rebranding as "AI-first." The pitch is seductive: deploy AI agents, automate everything, transform overnight.

Here’s the problem: AI applied to a broken process just creates a faster, more expensive broken process.
If your quotas are political, AI will optimise political quotas. If your pipeline data is unreliable, AI will generate confident predictions from unreliable data. If your incentive plans are opaque, AI will automate opacity at scale.
This is why process design must come first:
 

  1. We redesign the workflows - how performance is planned, tracked, and managed

  2. We align incentives - so the system rewards the behaviours and outcomes you actually want

  3. We embed change - so the new way of working is adopted, not just announced

  4. THEN we layer AI on top of a foundation that’s built to support it
     

The firms getting the most value from AI in sales performance aren’t the ones who deployed fastest. They’re the ones who fixed the fundamentals first.

Knollwood brings 25+ years of financial services domain expertise. We understand the regulatory constraints, the compensation structures, the sales cycles, and the cultural dynamics that generic AI vendors don’t. We’ve sat in the pipeline meetings. We’ve designed the scorecards. We’ve built the incentive plans. We know what actually drives behaviour change in a 50-person wealth management team or a 200-person asset servicing sales force.


That’s why we redesign workflows, align incentives, and embed change BEFORE layering AI on top.

The AI-Native Shift

From Dashboards to a Revenue Operating System

SPM has become AI-native - predictive, connected, and continuously optimising. Instead of reports, you get AI agents sitting on top of your HR, Finance, and Sales systems. Performance moves from an annual event to a continuous, AI-supported system.

What Has Changed

AI helps design quotas and territories based on data, not politics
AI spots risks in the pipeline and surfaces where managers need to step in
AI drafts performance reviews and coaching notes from what’s actually happening
AI provides real-time visibility to salespeople on their performance, progress toward goals, and how their bonus is being calculated
AI identifies stale deals, unrealistic close dates, and over-optimism - keeping the pipeline honest
AI actively performance-manages people: suggesting issues, advising fixes, recommending where to focus next

What This Means in Practice

The tool doesn’t just report - it manages. It becomes an autonomous coaching layer that sits between strategy and execution, continuously reading signals from CRM, email, calendar, and deal activity, and translating them into specific, actionable guidance for every seller and every manager.
It tells a rep: "This deal is stalling - here’s why and here’s what to do."
It tells a manager: "These three people need intervention this week - here’s the data."
It tells leadership: "Your Q3 forecast has a 15% downside risk concentrated in these accounts — here’s the mitigation."

What This Delivers


Real pipeline - not zombie forecasts
Clean governance - transparent, audit-ready incentives
15% productivity gains - more time selling, not on admin
40% higher quota attainment with disciplined processes
Predictable growth - forecasts you can actually believe

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