Source register
Identify approved documents, owners, audiences, review dates and confidentiality.
Solution / Assisted knowledge
A knowledge and AI assistance solution helps authorised users search approved material, receive source-linked summaries and prepare drafts within defined boundaries. GA Applications designs the content pipeline, permissions, prompts, review controls and feedback path so assistance remains traceable and people can verify important statements before acting or publishing.
Identify approved documents, owners, audiences, review dates and confidentiality.
Conflicting, stale or inaccessible source material produces unreliable assistance regardless of model quality.
Identify approved documents, owners, audiences, review dates and confidentiality.
Break material into meaningful sections with stable identity and useful metadata.
Remove superseded material from active retrieval while preserving required records appropriately.
Search, summarisation, drafting and extraction have different risks and acceptance tests.
Return source references and acknowledge when approved material does not answer the question.
Label generated content as a draft and retain review for commitments or external publication.
Validate extracted fields and route uncertainty rather than filling gaps with invented values.
The assistant should respect the user's authorised source set and create a practical path for correction and escalation.
Filter retrieval and actions according to the same approved identity and record permissions.
Name the person responsible for checking important output before use.
Test representative questions, unsupported requests, source conflicts and harmful failure modes before release.
Each route answers a different operating question while retaining the same standards for evidence, responsibility and a usable next step.
Questions worth resolving
Bring the real problem
Bring representative documents, user roles and the decision that follows the answer. We can scope a controlled assistance pilot.