Grounded knowledge
Answers are based on approved sources, documents, business rules or connected system data.
AI systems
Controlled AI workflows for real operations
LeonSoft builds AI systems that understand requests, check sources, evaluate confidence, follow business rules, escalate when needed and leave every important action traceable.
Incoming request
Intent + source matched
Confidence 91%
Answer
Handoff
Update
Logged and traceable
Core idea
AI is useful only when it is grounded, connected and controlled
Most AI projects start with prompts. LeonSoft starts with the workflow: what the business needs, where the data lives, what the AI may do, when it must stop, and who approves consequential actions.
Confidence checks
Responses and actions are evaluated before execution so the AI does not guess blindly.
Human handoff
When the answer is uncertain or sensitive, the workflow opens a ticket or asks a person.
Business integration
AI connects to ERP, CRM, SQL databases, APIs, documents, WhatsApp, web chat and internal tools.
Audit trail
Important events are logged so teams can review what happened and improve the process.
Production architecture
The system is designed for reliability, permissions, error handling, monitoring and future change.
Every request, same path
Seven stages a request passes through
Request
Intent
Knowledge
Confidence
Rules
Action
Audit
FAQ
Questions clients usually ask
Short answers for business owners and technical buyers before the first conversation.
What is a controlled AI system?
A controlled AI system understands the request, checks approved sources, evaluates confidence, follows business rules, escalates when needed and logs important actions.
When should a business use controlled AI?
Controlled AI fits workflows where accuracy, data context, escalation and traceability matter, such as customer support, internal knowledge, operational tasks, documents and ERP/CRM actions.
Can AI update business systems automatically?
Yes, but only when the workflow defines permissions, confidence thresholds, validation rules and human approval for consequential actions.
Next step
Map one workflow before building anything
We start with the process, data sources, confidence rules, system boundaries and human escalation points. Then we design the first practical version.