Make your knowledge and way of working usable with AI.

A configured AI work environment that uses your instructions, working methods and selected knowledge to prepare or support recurring knowledge work.

No. The LLM generates responses, while the PKA layer determines which instructions, knowledge, workflow, rights, checks and tools apply. Read what sits outside the LLM.

Context includes instructions, selected knowledge, the user and task, process steps, relevant history, available systems, current operational data and governance rules. Read the context explanation.

More context can reduce relevance, introduce contradictory versions, increase cost and expose information a user should not see. A PKA selects what is relevant and permitted. See the full explanation.

They already provide more projects, memory, files, retrieval and context tooling. That makes simple PKA capabilities easier to configure. Synbuild adds value where method design, source governance, evaluation, portability, rights, integrations and operational control are still needed. Features and plan limits can change. View the reviewed sources.

Not automatically. Fixed instructions or built-in file features may be sufficient. Controlled retrieval becomes relevant when document volume, source management, citations, rights or measurable quality require it.

Yes. A small selected set may fit an existing platform or managed repository. Larger or more controlled collections may require ingestion, metadata, retrieval, citations and an explicit update and deletion process.

That depends on the selected provider, product, account type and settings. We answer this only for the proposed technical solution and record the applicable processing and retention terms before sensitive use.

Potentially. Existing SaaS, hybrid, European cloud, private cloud and local deployment can all be considered. The choice depends on sensitivity, functionality, continuity, budget and the ability to manage the environment.

A prompt package mainly defines instructions and formats. A knowledge assistant also manages selected sources, retrieval, status, citations, access and maintenance. We do not add the latter when a few well-configured workflows are sufficient.

PKA Business can support bounded actions through integrations. Permissions, validation, logging, approval and failure handling are required, and not every task is suitable for autonomous execution.

Sources need owners, versions and status. Replaced or deprecated documents are excluded from normal retrieval, while removal tests verify that deleted knowledge no longer affects answers.

Possible recurring costs include AI and storage usage, external licences, hosting, monitoring, backups, source maintenance, evaluations, support and changes. They are scoped for the selected architecture rather than hidden in one generic subscription.

It depends on applications, source readiness, document volume, integrations, security and acceptance testing. We confirm a schedule after intake instead of promising one duration for all four levels.

Only after the selected provider, storage, access, retention and processing arrangements have been assessed for the actual information and use case. Do not send confidential documents through the intake form.

Yes. The levels form a practical path, but an upgrade is based on new needs such as more sources, users, control, integrations or management—not on a forced technical sequence.

Reliability depends on the task, model, instructions, source quality and retrieval. We use test questions, citations and human review where appropriate, but do not promise that every answer is correct.

Ownership, licences, export and provider-specific limitations are made explicit in the proposal. We prefer exportable customer-controlled instructions and knowledge where the selected platform allows it.