Make the knowledge your company already has usable.
I organize operational knowledge across reports, process documents, investigations, dashboards, and people’s working memory so your team can find it, maintain it, and make it available to AI systems.
The knowledge usually already exists
It is spread across sources that each go stale in a different way, and nothing about any of them indicates which parts are still reliable.
When an operational AI project underperforms, changing the model often does not fix the underlying problem. If the source material is incomplete, contradictory, or stale, a better model still begins with unreliable context.
One organized body of knowledge
I collect that material into a single organized set with a clear owner and a defined way of keeping it current. The practical effect for your team is that people stop re-deriving conclusions a colleague already reached, and the reasoning behind a decision is recorded somewhere the next person can find it. That same organized material is what an AI system needs in order to ground its answers in your operation instead of relying only on general model knowledge.
Before
- Disconnected sources
- Contradictory guidance
- Repeated analysis
- Undocumented judgment
After
- Defined ownership
- Source history
- Linked context
- Maintenance process
What’s a corpus?
A corpus is the organized body of knowledge a company runs on, structured so that people and AI systems can both work from it. It differs from a shared drive because the material has an owner, a source history, defined relationships, and a process for checking what is still current. Someone is responsible for what enters it, what gets removed, and how related information is kept consistent, which is what allows people and systems to retrieve the relevant material with its surrounding context. I refer to that role as a Corpus Curator.
Attributes
- Owned
- Traceable
- Connected
- Maintained
The DoubleCs Method
I use a six-step method to identify where operational knowledge lives, determine what is still reliable, organize it for retrieval, and establish a process for keeping it current.
Where this came from
The recurring problem
In payments risk and fraud operations, answering a routine question could require reviewing a dashboard, locating the relevant process guidance, finding an earlier investigation, and asking someone whether the written procedure was still current. The analysis itself might take minutes. Establishing that the inputs were complete and reliable often took considerably longer.
What changed
I began documenting the reports, rules, source systems, decision logic, recurring investigations, and known limitations in one version-controlled corpus. The corpus gave analysts and AI tools a shared body of documented context, reducing the need to reconstruct the same background for every question.
What remained human
Operational decisions remained with the team.
Tell me where the process breaks down
Most teams do not notice this problem until a routine question becomes difficult to answer reliably. Tell me what your team is trying to answer, what material it relies on, and where the process starts to fail.