Agents: Why Data Quality Determines Success
Agent Born · Episode 04
As we explored in the first three episodes of our Agentic AI series, clearly defining your requirements is one of the most important factors in delivering a successful Agent. Organisations often focus heavily on prompts, agent design and user experience, but there is another critical element that can make the difference between success and failure: the quality, governance and maintenance of the knowledge sources that power the agent.
Agents are designed to help users find information, answer questions and perform tasks intelligently. However, they do not create expertise from nothing. They rely entirely on the information available to them. This means that the effectiveness of any agent is directly linked to the quality of the SharePoint sites, document repositories, policy libraries and enterprise knowledge bases that underpin it.
Simply put, if users cannot trust the information being provided, they will not trust the agent.
Good governance starts with clarity of purpose
One of the most common mistakes organisations make when implementing Agents is starting with the technology rather than the business problem.
Before creating knowledge bases, uploading documents or configuring SharePoint sites, organisations must first ask a simple question:
What specific problem are we trying to solve?
The answer to this question drives every subsequent decision, including:
- What information the agent needs access to
- Which SharePoint sites should be connected
- Who owns the content
- How the information will be maintained
- What success looks like
For example, an HR policy agent will require very different information from an electronic invoicing support agent or a project delivery assistant. Attempting to create a single, “catch-all” knowledge repository typically results in poor search results, conflicting answers and reduced user confidence.
Good governance means defining:
- The purpose of the agent
- The intended audience
- The approved knowledge sources
- Content ownership responsibilities
- Review and maintenance processes
SharePoint is often the ideal platform for this because it provides structured document management, metadata capabilities, permissions, version control and centralised content storage. When properly governed, SharePoint can become the trusted source of truth on which agents rely.
Without governance, organisations risk creating intelligent agents that return inconsistent, outdated or contradictory information.
An Agent Is Only as Good as the Data Behind It
There is a saying in technology that remains as true today as it was decades ago: “Garbage in, garbage out.”
The intelligence of an agent is determined not only by its configuration but also by the quality of the content it can access. Many organisations mistakenly believe that once documents have been uploaded to SharePoint, the work is complete. In reality, the creation of a knowledge base is only the beginning.
Successful knowledge repositories require ongoing attention to ensure that:
- New information is added promptly
- Existing content remains accurate
- Duplicate content is identified and removed
- Obsolete documents are archived or deleted
- Policies reflect current business processes
- Metadata is maintained consistently
When users ask an agent a question, they expect the answer to be accurate and up to date. If an agent references a three-year-old policy instead of the latest approved version, trust is quickly lost.
A well-maintained SharePoint knowledge base offers several advantages:
Consistency
Users receive answers from a single authoritative source rather than from conflicting documents stored across multiple locations.
Discoverability
Structured folders, metadata and document classification help the agent find the most relevant information.
Security
SharePoint permissions ensure that users can access only the information they are authorised to view.
Reliability
Regular content reviews reduce the risk of outdated or inaccurate information being surfaced.
The most successful agent deployments are often supported by strong content ownership. There should always be individuals or teams responsible for ensuring that information remains accurate, up to date and relevant.
Technology can help users find answers, but only people can ensure that those answers remain correct.
Long-Term Performance Isn’t a One-Time Setup, It’s an Ongoing Commitment
Many organisations treat knowledge management as a project. In reality, it should be viewed as a continuous operational capability.
Launching an agent is not the finish line. It is the starting point.
Over time:
- Business processes change
- Policies evolve
- Products and services develop
- Regulations are updated
- New lessons are learned
If the underlying knowledge base does not evolve alongside the business, the value of the agent begins to decline.
This creates a common pattern:
- The agent launches successfully
- Users receive useful answers
- Content starts to age
- Accuracy gradually declines
- User trust decreases
- Adoption falls
- Users return to manual processes
At this stage, the organisation may incorrectly conclude that the agent has failed, when the real issue is that the knowledge source has not been maintained.
To avoid this scenario, organisations should establish a regular review cycle that includes:
- Content validation reviews
- Identification of knowledge gaps
- Removal of outdated information
- Analysis of user feedback
- Assessment of search result quality
- Optimisation of knowledge sources
Just as databases require administration and applications require support, knowledge bases require ongoing investment.
An agent should be viewed as a living system that continually improves alongside the organisation.
Building Trust Through Better Knowledge Management
The true value of an agent lies not in its ability to generate responses, but in its ability to provide trustworthy answers.
Trust is earned when users consistently receive information that is:
- Accurate
- Relevant
- Current
- Secure
- Easy to understand
Well-governed SharePoint environments and carefully maintained knowledge bases are fundamental to achieving this goal. The organisations that achieve the greatest return on their AI investments are rarely those with the most sophisticated prompts or the largest number of agents. They are the organisations that recognise information as a strategic asset and invest accordingly.
A modern agent is only the visible layer. Beneath it sits the real foundation of success: a trusted, governed and continually maintained knowledge base.
When organisations focus on both the intelligence of the agent and the quality of the information that supports it, they create a solution that users can depend on with confidence for years to come.
Final Episode in the Agent Born Series
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