Across every company I studied, context management is the layer most consistently built in-house and least well served by vendor solutions. This is not a coincidence. It is the layer where the problem definition itself is still unsettled.
Organizational context is not a search problem. It is not a matter of indexing documents and returning relevant chunks. It is the problem of knowing what is true about an organization, surfacing disagreements between humans about what is true, and maintaining that knowledge as it evolves.
When I signed a deal to help a company build agents, the first thing I realized is that the first agent we needed was one that understood organizational context — standard operating procedures, what the portal does, who knows what, where the disagreements are between the CEO and the ops team. That kind of context is not a feature of any existing product. Some of it is in SharePoint. Some of it is in Slack threads. Some of it exists only as conflicting assumptions in different people's heads.
This is not a retrieval-augmented generation problem. It is a knowledge management problem, and it gets harder as the organization gets larger. The companies that figure out how to give agents reliable organizational context — without forcing humans to migrate to new tools — will have a durable advantage. Meet people where their data already lives. Integrations are table stakes. The intelligence layer that resolves conflicting information and maintains a coherent picture is where the real value sits.
This is also why I've argued the agent stack is largely a build-vs-buy gap. Context shows up blue across every chart because no vendor has shipped a credible answer. The companies that get there first — and respect that the data must stay where it lives — will own the layer that every other agent layer depends on.
If you are building infrastructure in this space, do not bury context behind another migration. The organizations you sell to have already migrated five times this decade. The product that wins is the one that makes their existing knowledge usable, not the one that demands they redo it on your terms.
Sources
Related Essays
The Organizational Context Gap
Across every agent platform, one layer is universally unsolved — organizational context. Not the prompt, not the model. The institutional knowledge an agent needs to do useful work.
The Agent Stack Build-vs-Buy Map
Lay out the seven layers of the agent stack and a clear map emerges. The harness is commoditized. Context, memory, and orchestration are blue across the chart.
Context Engineering Is the Hard Problem
Models keep getting better, but agents without deep codebase and organizational context are just expensive autocomplete. Context engineering is the bottleneck nobody has productized.
Key takeaways
- Context is the layer where every serious team is rolling their own. No vendor has won.
- This is not a retrieval problem. It is knowing what is true about an organization, and surfacing where humans disagree.
- The companies that solve organizational context without forcing migrations will own a durable layer.
FAQ
Why is context not a RAG problem?
Because organizational truth is not in a single document store. Some of it is in SharePoint. Some in Slack threads. Some only in conflicting assumptions in different people's heads. Retrieval cannot resolve disagreement.
What does a context layer need to do?
Maintain a coherent picture of organizational truth as it evolves, surface disagreements explicitly, integrate where data already lives, and feed the right slice to the right agent at the right time.