No time to create training data
Domain experts busy with daily operations cannot prepare data for AI learning. This is a structural reason many enterprise AI projects stall.
A context layer for industries that need administrative documents.
Your AI
does not know your work.
Industry-specific AI built on domain knowledge and implemented by FDEs without changing frontline workflows.
The biggest reason AI agents do not work in the field is not model performance but a lack of business context and tacit knowledge . CAIVA focuses on medical, care, and disability-related industries that need administrative documents, structures domain expert judgment as data, and creates the foundation where AI can finally execute work.
How CAIVA works
Domain expert data
becomes context AI can use.
CAIVA structures field operation data, procedures, exception rules, and administrative responses as operational knowledge. It gives general-purpose LLMs the right context with fewer tokens and supports safe, accurate execution. Data generated by execution returns to CAIVA, keeping the accuracy flywheel turning.
The Problem
Three reasons AI still does not work in the field
These are structural business-side problems that bigger models cannot solve. CAIVA addresses them directly.
Tacit knowledge does not accumulate
Regulatory knowledge, exception rules, and field judgment live only in veteran employees' heads and are structurally lost through transfers and resignations.
Policy changes break assumptions
In industries with annual reimbursement and subsidy revisions, AI assumptions become outdated quickly. General-purpose models cannot keep up on their own.
Why CAIVA
Four reasons CAIVA is chosen
Token cost structurally decreases
Our domain experts form the data, so context accumulates without burdening your team. CAIVA passes accumulated context and business logic to general-purpose LLMs, reducing large prompts and generation count so running costs keep falling structurally.
It does not stop when rules change
When reimbursement or subsidy systems change, CAIVA can operate by reflecting only the differences. Domain experts update administrative knowledge yearly, making it hard for generic AI to replace.
An FDE team works alongside you
Our FDEs and domain experts accompany you from workflow analysis and training-data design through AI implementation and adoption. Since CAIVA has already learned industry judgment data, it can reduce internal and token costs compared with other FDE approaches.
Runs in two weeks without changing operations
Teams can instruct it through everyday business tools such as Teams. No new-system training or tool switching is required, so field alignment is easier.
The Solution
From accumulated knowledge to AI that works on site
Our FDE team brings the regulatory, operational, and tacit knowledge accumulated in CAIVA to each site. We use existing servers, data, and workplace tools to implement dedicated AI without stopping or redesigning frontline workflows.
- 01 Build industry knowledge
Regulations, practice, and tacit know-how in CAIVA
- 02 Connect what already works
Use existing software, data, and tools
- 03 Implement for each site
FDE delivers AI optimized to local operations
- 04 Use familiar chat
No new SaaS training required
- 05 Provide a secure AI environment
Designed for sensitive healthcare information
Industries
Supported industries
Our current focus is healthcare and long-term care. We currently focus on home-visit nursing, care facilities, home healthcare, community-based integrated care, and hospitals. We plan to expand into childcare, dispensing pharmacies, dentistry, construction, vehicle inspections and public works, funerals and inheritance, food services, and other industries that require administrative documents. CAIVA's industry schemas become a shared foundation across them.
CASE STUDY
Home-visit nursing case
16 tasks SHISHI executes on CAIVA
Built on the regulatory, operational, and workflow knowledge accumulated in CAIVA for home-visit nursing, SHISHI executes nursing, administrative, and manager tasks. AI processing is reviewed by experts through human-in-the-loop (HIL) checks.
Nursing work
Record IICare planReport
Administration
Instruction expiry managementInsurance and public-aid expiry managementData entryClaimsPerformance faxCare plan and report mailingInstruction request mailingInvoice and receipt mailingReturns
Manager work
Schedule registrationShift creationAttendance managementAccounting
We provide AI forevery workflow in industries that require administrative documents.
FAQ
FAQ
Can we operate it without internal AI engineers?
Yes. Our FDEs and domain experts accompany you through workflow analysis, training-data design, AI implementation, and field adoption.
Can it integrate with AI tools we already use, such as ChatGPT or Copilot?
Yes. CAIVA is designed to integrate with general-purpose AI tools your company already uses, including Claude, OpenAI, and Microsoft Copilot. It holds industry context and business logic, acting as a middle layer that passes business context to existing AI.
Can it connect to existing ERP, electronic medical records, or business systems?
Yes. We connect through APIs, MCP, file integration, and other methods suited to your environment. FDEs design the connection around your existing environment, so you do not need to create a new operational workflow.
Enterprise Consultation
We propose individually
for your industry and workflow.
Our FDE team brings industry knowledge to the site and designs a CAIVA deployment around your existing workflow and system environment. Contact us to discuss where to begin.