Assessment
Map knowledge risks, sources and the most useful first use case.
- sources and access paths
- critical knowledge and gaps
- prioritized use cases
- pilot recommendation
ExecAide · AI Knowledge Systems
When your best people leave — does their knowledge leave with them?
ExecAide helps mid-sized companies capture scattered knowledge, make it AI-ready locally or in a dedicated environment, and use it for employees, service and future AI applications — with sources, not guesses.
local or dedicatedsources & pagesmultilingualhuman approval
Locally tested proof of concept — not just promised.
Documents, scans, OCR, sources and local Qwen3.8 analysis, tested end to end in the Knowledge Lab.
Watch Video 1Documents, scans, OCR, sources and local Qwen3.8 analysis, tested end to end in the Knowledge Lab.
The real problem
The documents stay. The person who understood them sometimes doesn’t.
Critical knowledge sits in technical PDFs, scans, Office files, emails, customer edge cases — and in the heads of individual employees.
Knowledge leaves with people
When an experienced employee leaves or retires, the context, shortcuts and edge-case judgment usually leave too — the files stay behind, unused.
Documents are fragmented
PDFs, scans, spreadsheets and email threads sit in different systems, versions and formats — searchable only by whoever already knows where to look.
Automatic does not mean confidential
Convenient AI tools often mean documents leave the building. Confidentiality has to be a deliberate architecture decision, not a default.
AI Knowledge Assessment
Find out which knowledge is critical — and which pilot creates value first.
We map data sources, knowledge risks and prioritized use cases before a company invests in a large AI platform.
Sources & risks
Make documents, repositories, processes and knowledge holders visible — including gaps, versions and critical single-person dependencies.
Prioritize use cases
Internal assistant, service, onboarding, phonebot or quotation preparation: ranked by value, effort and risk.
Target & 90 days
A concrete pilot scope, data path, architecture and next steps instead of an abstract AI strategy.
Knowledge Foundation
From scattered documents to an evidence-based knowledge foundation.
ExecAide combines local or dedicated document processing with structure, search, sources and controlled AI applications.
1
Capture documents
PDFs, scans, Office files, tables and other approved sources are ingested.
2
OCR & structure
Layout, tables, facts, metadata and versions are prepared traceably.
3
Evidence & search
Answers stay linked to document, page, evidence and review status.
4
Controlled applications
Assistants, service and phonebots or quotation drafts operate within approval boundaries.
Applications
One knowledge foundation. Several next steps.
Internal knowledge assistant
Multilingual answers for onboarding, engineering and daily work — with sources instead of unsupported claims.
Service & phonebot
Approved product and process knowledge for customer service and internal handovers.
Quotation preparation
Find previous offers and technical foundations, extract requirements and prepare drafts — with human approval.
Knowledge Lab · proof
Do not just talk about it. Watch a real document get processed.
Video 1 is a real local test with a technical document: upload, OCR, extracted facts, questions against the document, and an audit trail. Video is evidence of the implementation — not the core product.
1. Upload2. OCR3. Extracted facts4. Questions to the document5. Audit trail
Data & control
Fully automated does not automatically mean confidential.
Many AI offers promise fully automated processes. The more important question often comes first: where are your documents actually processed — in the cloud, by a US or Chinese provider, or in an infrastructure whose data path is barely visible? ExecAide makes this an architecture decision: local, dedicated, European-hosted or hybrid — matched to sensitivity, sources and approval boundaries.
Automation is not a data-protection concept. We review sources, access and processing paths before a pilot begins.
Knowledge pilots
Start with one concrete knowledge domain.
A focused pilot is usually the safer first step than a large platform project. Scope, sources, success criteria and operating model are agreed before implementation.
Knowledge Foundation Pilot
Process one selected knowledge domain with real documents and questions.
- OCR and document structure
- search, evidence and review status
- local or dedicated model path
- measured pilot outcome
AI Application Layer
Connect approved knowledge to a controlled internal or service workflow.
- assistant, service or phonebot
- quotation preparation
- human approval boundaries
- next-step roadmap
Want to find out which knowledge is critical in your company?
Start with an AI Knowledge Assessment — one concrete knowledge domain, real documents and a realistic pilot goal.
Request an AI Knowledge AssessmentLocal or dedicated. With sources, review status and human approval.