Comparison · Enterprise Context Management

Company Brain, enterprise search, wiki, RAG or your own MCP server?

The approaches solve different problems and rarely exclude each other. This page shows what each one suits, where its limits are and what a Company Brain does today.

The statements describe typical architectures. Individual products can do more or less; when in doubt, check the vendor's documentation. As of 12 November 2026

Wiki / knowledge base

Document and organise knowledge

Where is it documented?

On shared pages, organised by area, project or topic.

Who updates pages after decisions?

The page owners. Someone has to carry decisions from meetings over to the affected pages.

When is a wiki enough?

With small teams, few decisions per month, clear page ownership and a culture that keeps pages up to date.

Suitable when
You need documentation, guides and reference knowledge with clear owners.
Limits
Does not check by itself whether a page contradicts a newer decision.
Rollout effort
Low to start; the real effort is ongoing upkeep.
Can run side by side
Yes. A Company Brain can read the wiki as a source and write approved changes back to it.

Term in the glossary

RAG

Generate answers from retrieved documents

How is information retrieved for answers?

Matching passages are retrieved from an index, often semantically, and passed to the language model as context.

How are freshness, source quality and permissions handled?

It depends on the architecture: freshness through indexing, permissions through filters at retrieval, source quality through the choice of sources. The basic principle does not define which state applies.

Suitable when
You want to answer questions over large sets of documents, with sources.
Limits
Contradicting sources are retrieved as they are. Without a defined state, the answer can change depending on the hits.
Rollout effort
Medium: index, retrieval logic, permission filters and checking answer quality.
Can run side by side
Yes. RAG is a technique that can also be used inside a Company Brain.

Term in the glossary

Your own MCP server

Give AI clients controlled access to tools

Which tools are connected?

The systems you build tools for in the server, or for which you use existing MCP servers.

Where do approvals, state, write-back and operations live?

With you: approval logic, versions, write permissions, authentication, monitoring and updates are part of running it yourselves.

Suitable when
An engineering team wants to open specific systems to AI clients and can run the server.
Limits
Governs access, not content: contradicting and outdated content is delivered just the same.
Rollout effort
Medium to high, depending on the number of systems and security and operations requirements.
Can run side by side
Yes. AI clients can use several MCP servers at the same time.

Term in the glossary

Company Brain (Teklens)

Record what applies, show divergence, propose changes

How are context, contradictions and decisions handled?

Decisions are recorded as the valid state. The Company Brain reads from your tools, flags outdated and contradicting content with its source and proposes changes. After approval, the change is written back to the source.

What can Teklens do today, and what needs the service?

See below: the list comes straight from our feature register. Setting it up for your tools is the job of the Company Brain Sprint.

Suitable when
Leadership decisions need to reach roadmaps, tickets, documents and AI agents.
Limits
Replaces neither decisions nor file stores or search. Checks only against decisions that are recorded.
Rollout effort
Rollout in the Company Brain Sprint with our engineers; scope and fixed price after the first call.
Can run side by side
Yes. Your tools stay in use and serve as sources.

Term in the glossary

What Teklens can do today

From the Teklens feature register, as of 12 November 2026. “Available” means shipped in the product. “Beta” means running for selected projects.

  • AvailableContext ManagerBrings together goals, knowledge and decisions from Jira, Confluence, SharePoint, Notion, GitHub, GitLab and watched folders. Flags what is outdated or contradictory, proposes changes and writes approved ones back. Every AI agent reads from it.
  • AvailableMeeting CompanionThe Meeting Companion joins meetings in Zoom, Microsoft Teams, Google Meet and Webex, automatically from the calendar if you like. It records, transcribes live with speaker names and captures decisions, open questions and next steps in the Company Brain.
  • AvailableMultiplayer chatsA conversation belongs to the project, not to one person. Everyone writes in the same thread, and every answer knows your Jira, your docs and your code. Questions get settled before anything is built.
  • BetaFlexible IDE handoverHand a Jira ticket with plan and context to a local agent by link, open it in Claude Code or Codex, or let a Teklens agent work in an isolated sandbox. Model per run, usage visible.
  • AvailablePlaybooksPlaybooks connect a recurring task with the knowledge it needs, clear steps and approvals. People and AI agents work the same way. Built-in skills for drafting, estimation, review and release notes; build your own in the Skill Studio.
With the service
In the Company Brain Sprint our engineers set up the Company Brain for one team: sources, owners and approval paths.
To settle in the call
Which of your tools are connected with which read and write scope, and what your permissions require.
Planned
We deliberately do not list planned features on this page.

Which approach fits your problem?

30 minutes. Bring an important decision or a concrete context problem.