Your organization has years of knowledge locked in documents staff struggle to find. Policy manuals, SOPs, compliance guides, past project records. Staff spend time searching, give up, or ask whoever might know. Both outcomes are slow and produce inconsistent answers.
Tayana builds a retrieval system over your existing documents. A staff member types a question in plain language and gets a sourced answer in seconds. The system uses the same underlying technology behind tools like CustomGPT, Google Gems, and enterprise AI search platforms, built entirely around your own files and your own environment.
Document audit
Tayana reviews your document library with you, identifies sources to include, and flags quality issues that would affect retrieval accuracy. You confirm scope before work begins.
Scope definition
You specify the departments and document types the system covers. Tayana documents what falls in and out so both sides have clear expectations.
Indexing
Your team provides the finalized document set. Tayana handles formatting and indexing using vector search and retrieval AI, the same foundational approach behind platforms like CustomGPT, Google Gems, and enterprise AI search tools.
System build
Tayana configures the retrieval interface, sets source citations on every response, and applies access controls matching your team structure.
Testing
The system is tested against real staff questions. Tayana tunes accuracy with you before deployment.
Deployment
The system goes live. Tayana provides a staff orientation and documents how to add new content going forward.
4 to 6 Weeks
From document handover to deployment. Well-organized digital libraries typically reach go-live in four weeks. Scattered or inconsistently formatted files may extend this to the full six.
From $10,000
For a single-department build. Multi-department deployments covering large document volumes are scoped based on document count and access control complexity.
A monthly support retainer is available for ongoing updates and system tuning after go-live.
Standard search returns files that contain your keywords. This system returns a direct answer with a source citation. Staff do not open ten files to find one paragraph.
Yes. The system is built on retrieval-augmented generation (RAG) and vector search, the same foundational technology behind platforms like CustomGPT, Google Gems, and enterprise AI search tools. Tayana selects and configures the specific components based on your document volume and hosting requirements.
PDFs, Word documents, Excel files, and standard text formats are all supported. Scanned documents without readable text require an additional processing step before indexing.
No. Every response cites a source, and the system flags questions that fall outside its indexed documents. It does not draw from the internet or general knowledge.
Tayana documents the indexing process at handover. Most clients handle routine updates internally. A monthly retainer is available for organizations that prefer Tayana to manage updates on an ongoing basis.
Testing is a built-in phase, not an afterthought. Tayana adjusts configuration and retests until accuracy meets the agreed standard. The engagement does not close until that threshold is reached.
Book a thirty-minute call. Tayana will confirm whether a knowledge retrieval system is the right fit for your documents and your team.