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Why Copilot agent answers still feel risky

Copilot delivers faster access to information, but speed alone is not enough. Answers generated by Copilot agents from long, fragmented, or poorly structured SharePoint content can be inconsistent or unreliable.

For frontline, safety‑critical, and operational roles, poor reliability leads to downtime, cost, or risk.

Without a clear definition of what “good enough” looks like, organisations rely on gut feel. This uncertainty slows adoption, limits rollout, and prevents teams from realising Copilot’s full value, especially in high‑stakes use cases.

Why measure Copilot agent reliability?

The Copilot Agent Reliability Score gives organisations a clear, human‑validated measure of how well Copilot agents perform against real‑world questions. Rather than assuming responses are good or bad, the service first measures performance against agreed criteria defined by subject matter experts. This delivers a Copilot Agent Reliability Score, which creates transparency, shared understanding, and confidence in the results.

The outcome is more than a score. Our process reveals:

  • Where Copilot agents can be trusted today
  • Where reliability breaks down
  • Why inconsistencies occur (content structure, context gaps, language, or query patterns)

These insights enable informed decisions, focused optimisations, and a clear roadmap for an organisation to build a knowledge system that reduces risk, fosters trust, and drives adoption.

Our process, your results

Through SME‑validated benchmarking and targeted optimisations, we turn uncertainty into measurable insights, which we validate with the users in the real world, supporting safer adoption, faster onboarding, and confident decision making.

Your content is not in English-no problem, as the system works in any language with the power of multilingual taxonomies.

Our Copilot Agent reliability score process

Benchmarking

This Benchmark phase establishes a clear, evidence-based baseline for Copilot agent reliability using SharePoint content and real user questions. SMEs define and validate the questions that matter most. This creates a shared definition of what “good” looks like and replaces gut feel with measurable performance data.

The result is a Copilot Agent Reliability Score that reflects how well agents perform in real-world scenarios today.

Reliability Insights

Reliability insights turn benchmark scores into understanding. By analysing validated responses and visualising results through scores and heatmaps, we identify where Copilot agents perform well, where reliability breaks down, and what factors contribute to reliable answers.

With our iterative approach, a new set of scores are delivered after each recommended change, highlighting improvement efforts that will have the greatest impact on agent reliability.

Vision

We show you a clear, practical view of how Copilot could support teams as reliability improves.

This connects business objectives with realistic use cases, and helps stakeholders agree direction based on evidence rather than assumption.

Roadmap

The roadmap ensures a clear, actionable path for scaling your Copilot agent use case. It reflects the Altuent end-to-end service—from benchmarking Copilot agent reliability through proof of concept, pilot, and implementation—supporting confident rollout and scaled adoption of high-value use cases.

Meet the experts driving your AI readiness transformation

Toni Ressaire

Innovation Director & AI Strategist

Toni Ressaire

Innovation Director & AI Strategist

Toni collaborates with innovation teams to drive strategic AI research and implement practical solutions for technical documentation processes. Her work empowers organisations to leverage AI effectively, enhancing clarity and efficiency in their tech doc processes. Toni, a globe-trotting Carmen Sandiego, has lived and worked in five countries. She loves travel, genealogy, and true crime mysteries!

Sinéad Healy

Language Services Director & Multilingual AI Strategist​

Cassidy Ryan

AI Solutions Consultant

Cassidy Ryan

AI Solutions Consultant

Cassidy is an AI solutions consultant with a technical background. She has worked with DITA and content management systems, and more recently has focused on AI ready content. Cassidy is from Oregon but now lives in Tipperary. She enjoys reading science fiction, singing, and crochet.

Anna Behne

Multilingual Taxonomist

Anna Behne

Multilingual Taxonomist

Anna has a BA and MA in German, English and French translation and technical writing with an engineering focus. She mainly works in production and supports a number of innovative initiatives. Anna is from Northern Germany, but has lived near Cork since 2021. She likes hiking, nature walks and photography.

Sibéal Murphy

AI Knowledge Consultant​

Sibéal Murphy

AI Knowledge Consultant​

Sibéal works with clients to identify their content-related pain points and figure out how to resolve them. Sibéal lives in Kinsale, Ireland. She loves sketching and swimming.

Sean Power

AI Knowledge Consultant