Knowledge and data foundation
Map sources, permissions and context so agents work from authorised, current information.
Why it matters
Confident wrong answers come from upstream: an outdated version, two sources that disagree, or a document applied to the wrong case. Fixing the information a workflow uses is cheaper and more durable than changing models.
Who this is for
Teams whose knowledge lives in documents, tickets, wikis, contracts and systems of record, and who need AI output that can be traced back to those sources.
What we do
- Identify the sources, concepts, terminology and context a task actually requires.
- Design access, retrieval, review and exception handling around the real workflow.
- Evaluate how information quality affects the usefulness and reliability of outputs.
What you receive
- Knowledge-source and permission map.
- Task and workflow reference design for the AKE deployment.
- Evaluation criteria and a test set drawn from your own cases.
How it runs
Define
Define the task and the information it needs.
Design
Design the knowledge and workflow components.
Test
Test representative cases before operational extension.
Who you will work with
A knowledge engineer and a forward deployed engineer work with your subject-matter experts to map sources, owners, currency rules and terminology, in the languages your teams use.
An example
A manufacturer’s quality team had answers spread across change records, test reports and plant-specific terminology in Mandarin and English. The foundation work produced a permission map and a glossary with owners before any agent was configured. (Illustrative example.)
Questions
Do we need a data-cleaning project first?
Is our information shared with other Magellan Global brands?
Start with one workflow.
Tell us the process, the people who run it and what you would like to change. We will suggest the right first conversation, with no obligation.