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InfiniteWatch and Northius partnership

Measuring AI Agents Against Humans: How Northius Adopts AI in Sales with InfiniteWatch

Northius uses InfiniteWatch AI Insights as the measurement layer for adopting AI agents in sales. By scoring 100% of calls, human and AI alike, on the same criteria, Northius can benchmark AI agents against its team, compare prompt and model iterations head-to-head, and expand automation only where the data proves it performs.

July 2, 20266 min readai agentsai adoptionsales performance

Overview

Northius is adopting AI agents across its sales operation, and InfiniteWatch AI Insights is the measurement layer that makes it safe. Every conversation, whether handled by a person or an AI agent, is analysed in near real time and scored against the same criteria. That gives Northius the evidence to see exactly where an AI agent already performs, where a human still wins, and how each new AI iteration compares with the last.

Headline Facts

100%
Calls Analysed
human + AI, near real-time
~30 points
Context Per Call
call goal, lead profile, deal size
One scorecard
Humans vs AI
both measured on identical criteria
A/B tested
AI Iterations
prompt + model versions compared head-to-head

The Challenge: Adopting AI Without Flying Blind

You cannot trust an AI agent you cannot measure. Sales quality is decided on the call, yet historically only a small sample of calls was ever reviewed, far too thin a signal to decide where automation is safe. Without full, consistent visibility across every conversation, adopting AI agents means guessing which use cases are ready and having no reliable way to prove an AI agent holds the bar once it is live.

  • No baseline for automation. With only a sampled view of calls, there was no reliable read on which intents and journeys an AI agent could safely take over.
  • AI and humans measured differently. Without a shared scorecard, there was no fair way to compare an AI agent against the team it was meant to augment.
  • Iterations judged on gut feel. Changing an AI agent's prompt or model is easy; knowing whether the new version is actually better is not.
  • Patterns went unseen. Recurring objections and drop-off moments stayed invisible until they surfaced in the numbers weeks later.

The Solution: AI Insights as the Foundation for AI Adoption

InfiniteWatch ingests every Northius call with ~30 contextual data points attached (the goal of the call, who the lead is, the size of the opportunity) so each conversation is judged on what it was trying to achieve. Human and AI agents run through the same scorecards, giving Northius one consistent, real-time view of performance and a clear, evidence-based path to expand AI where it earns it.

How It Works

  • Full coverage, humans and AI. Every call, whether handled by a rep or an AI agent, is transcribed and scored: no sampling, no gaps.
  • Context-aware scoring. Each call is scored against configurable scorecards for quality, compliance, and conversion behaviour, calibrated to the goal of that specific call.
  • AI agent performance, measured. AI-handled calls are scored on the same criteria as human calls, so an AI agent's real performance is visible from day one, not assumed.
  • Real-time issue detection. When the same problem spikes across many conversations, InfiniteWatch flags it proactively, before it shows up in the monthly numbers.
  • Coaching where it helps. The same insights feed personalised coaching, so the human team keeps improving alongside the AI.

The Human Side: Reps Improve Alongside the AI

Adopting AI agents does not sideline the human team; it sharpens it. The same call analysis becomes self-service coaching, and the reps have embraced it: around 90% of active users are the salespeople themselves, opening a ChatGPT-like assistant to ask how to improve. As AI agents take on more of the routine volume, human reps get better on the conversations that still need them.

Humans vs. AI Agents, Measured the Same Way

This is the heart of Northius's AI adoption. Because the same scorecards apply to every conversation, Northius can compare an AI agent directly against its human team on identical criteria: QA scores, conversion signals, and every other configurable KPI. It can also compare an AI agent against its own earlier iterations, running a new prompt or model side by side with the previous version and with the human baseline. Some metrics improve and others regress; the value is seeing the trade-offs clearly and deciding, on evidence, which version goes live and where automation should expand next.

Why This Matters for AI Adoption

Adopting AI agents is not a switch you flip; it is a sequence of decisions that each need proof. InfiniteWatch gives Northius that proof at every step: which use cases are ready, whether a live AI agent is holding the bar, and whether the latest iteration is genuinely better. As one of the first European sales teams to evaluate AI agents at this scale, Northius can expand automation gradually and safely, backed by data rather than optimism.

Alberto Baselga

"With InfiniteWatch we are adopting AI agents in our sales team the right way. It scores our reps and our AI agents on exactly the same criteria, so we can see where an AI agent already matches our best people and expand automation only where the data proves it. It turned AI adoption from a leap of faith into a measured decision." Alberto Baselga, CPO/CIO, Northius

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