Knowledge library
Retrieves sections, methods and experts from authorised content while respecting client confidentiality.
Hybrid search, RAG and permission filtersAI infrastructure can speed up preparation and expose information provenance without flattening expert judgement.
Project firms accumulate proposals, interviews, analysis and deliverables that rarely share a common structure. A permission-aware knowledge system can retrieve methods and evidence relevant to each engagement.
Generation can prepare outlines, minutes and drafts from approved sources. Client recommendations, assumptions, scope and final quality remain the responsibility of the professional team.
Each application should be validated against the process, available data and the organisation's actual risk.
Retrieves sections, methods and experts from authorised content while respecting client confidentiality.
Hybrid search, RAG and permission filtersPrepares a structure from requirements, approved capabilities and available profiles for owner editing.
Requirement extraction, templates and constrained generationTurns consented notes or transcripts into themes, evidence and unanswered questions.
Transcription, thematic analysis and time-coded citationsExtracts actions, owners and dates from meetings and requests confirmation before publishing them.
Structured extraction and task automationChecks documents against scope, terminology, sources and the project quality checklist.
Rules, document analysis and semantic validationSummarises scope changes, dependencies and blockers from delivery tools.
Event integration and evidence-linked summariesThe workflow limits sources, exposes evidence and requires review before sharing.
Set scope, permitted sources, audience and quality criteria.
Locate relevant material using client, date and confidentiality filters.
Generate a proposal, synthesis or check with visible references.
The owner adjusts the reasoning, approves the version and records changes.
The architecture adapts to each provider's APIs, permissions and limits. These are common tools and categories that would need validation.
A pilot could focus on proposals for one service line using a previously curated library. Over six weeks, the firm can compare preparation time, valid citations and owner changes, with no automatic sending and no reuse of restricted client material.
A sensible starting point is repetitive, verifiable work such as knowledge library, proposal assistant, interview synthesis. Scope depends on available data, current tools and required controls.
Not necessarily. A pilot can connect to systems such as Microsoft 365, Google Workspace, Notion, Confluence and initially be limited to reading, preparing or proposing actions before automatic writes are allowed.
Client and project isolation, with explicit exclusion of restricted deliverables. Answers grounded in approved sources with stale content clearly marked. Human review of scope, recommendations, pricing and every client-facing item.
A pilot could focus on proposals for one service line using a previously curated library. Over six weeks, the firm can compare preparation time, valid citations and owner changes, with no automatic sending and no reuse of restricted client material.