AI systems connected to your knowledge, tools, and workflows.
KaneDev builds practical AI integrations that can understand company context, process information, assist users, and perform controlled actions inside real business systems.
Move beyond the generic chatbot.
The most valuable AI projects are built around specific information, permissions, decisions, and actions—not an empty text box connected to a model.
Custom AI Assistants
Customer, employee, member, or product assistants designed around defined jobs and boundaries.
- Context-aware conversations
- Role-specific responses
- Escalation and human handoff
Knowledge & Search
Natural-language answers grounded in manuals, policies, products, training, or internal content.
- Private document search
- Source-aware answers
- Content ingestion and updates
Workflow Automation
Interpret incoming information, prepare actions, update systems, and route work using controlled tools.
- API and database actions
- Approvals and guardrails
- Logs and auditability
Document Processing
Extract, classify, summarize, validate, and route information from business documents.
- PDF and form extraction
- Invoice or application intake
- Structured data output
Voice & Multimodal AI
Create voice-enabled experiences or systems that understand images, audio, and documents.
- Voice assistants
- Image understanding
- Audio transcription
AI-Powered Mobile Apps
Put intelligent search, recommendations, document analysis, or guided workflows directly in a mobile product.
- In-app assistants
- Field and inspection tools
- Personalized experiences
The model is one component—not the entire system.
A dependable AI integration combines the model with company data, business rules, permissions, tool connections, interface design, monitoring, and a clear human fallback.
Start with repetitive work, scattered knowledge, or slow decisions.
Customer service assistance
Search support content, classify requests, draft responses, summarize history, and escalate exceptions.
Employee knowledge copilots
Help teams find policies, procedures, account details, technical documentation, and training information.
Intake and processing
Read incoming documents, extract structured fields, identify missing information, and prepare the next workflow step.
Research and preparation
Summarize accounts, organize notes, draft follow-ups, and surface relevant product or customer context.
Workflow coordination
Interpret requests, apply rules, route tasks, prepare updates, and keep systems synchronized.
Intelligent user experiences
Add natural-language search, personalization, voice, image understanding, and guided actions to software products.
Useful AI needs boundaries.
Every integration should define what the system can access, what it may do, when it must ask for review, and how quality is measured after launch.
Data and permissions
Restrict sources, tools, user roles, and actions according to the actual business need.
Human visibility
Make it clear what the system produced, which sources it used, and what action occurred.
Quality measurement
Track accuracy, unresolved cases, cost, latency, adoption, and business outcomes.
Fallback design
Give users a reliable path when AI is uncertain, unavailable, or inappropriate.
A focused AI pilot can answer the important questions early.
Instead of trying to automate an entire company at once, select one user group, one source of information, or one repetitive workflow. Measure the result, improve it, and expand from evidence.
Private Knowledge Assistant
Connect a defined set of company documents to a secure assistant for one team or customer group.
Where does your team lose time finding information, processing documents, or coordinating work?
That is usually a better starting point than asking where to “add AI.”