Custom knowledge tools for your team
AI knowledge systems for public-sector teams
Build a document assistant for policy manuals, service procedures and internal guidance, with source-linked answers and a defined review process.
Discuss your document assistantDocument evidence
Source passages
Where the workflow breaks down
Teams lose time finding the right procedure across changing manuals.
Agree the evidence and data boundaries
We define supported devices, languages, document access, retention and evaluation questions before implementation. Local inference and network-backed library sync are scoped separately.
What we build with you
- Organize approved guidance by document and version.
- Clarify ambiguous questions before retrieving evidence.
- Evaluate answers against representative policy questions.
How we verify the workflow
- Test representative and unsupported questions.
- Inspect evidence and source references with your reviewers.
- Verify agreed failure, access and recovery scenarios.
Start with one document collection
- 01
Define the process
Map the records, roles and exceptions in your current process.
- 02
Build the agreed scope
Implement the agreed workflow and connections with reviewable records.
- 03
Test and hand over
Run representative scenarios, record results and train the people who use it.
Explore document AI modules
Document AI for professional services
Create a private document knowledge workflow for advisory, consulting and operational teams that need to find and verify information in large PDF libraries.
Custom AI document chatbot development
Build a PDF question-answering assistant that retrieves relevant passages, asks useful clarification questions and preserves context across follow-ups.
PDF OCR and document ingestion automation
Turn text PDFs and scanned pages into searchable document content with extraction diagnostics, indexing status and reprocessing workflows.
Hybrid search development for document libraries
Combine keyword matching and semantic retrieval to find useful evidence across manuals, policies and business document collections.
AI answers with document source citations
Develop source-linked document answers that let users inspect the passages and page references used to assemble a response.
On-device AI document assistant development
Build a native Apple document assistant with local retrieval and on-device generation, scoped to supported devices and your actual connectivity requirements.
Document library sync and identity integration
Connect an authenticated document library to a native assistant with download progress, replacement, reindexing and recoverable sync failures.
Before we start
Can this work without a cloud AI service?
We can scope local retrieval and on-device generation for supported hardware. Authentication, downloads and synchronization can still require connectivity. We document these boundaries and test the agreed offline scenarios.
Can every answer be trusted automatically?
Source links help users review answers; they do not guarantee correctness. We agree evaluation questions, unsupported-answer handling and human review for consequential decisions.
AI knowledge systems for public-sector teams
Describe your document workflow
Tell us which documents people search, which questions they ask and where the system must run.
- Document types, languages and approximate volumes
- Example questions and access requirements
- Target devices, integrations and connectivity needs