Contextual answers
The agent answers from your documents and procedures rather than generic knowledge.
RITSL_
Internal AI assistant - Switzerland
Business AI agent for Swiss SMEs
RITSL designs business AI agents connected to your documents, procedures and tools, to answer questions, prepare files, qualify requests or accelerate operations without removing human validation.
Limited access
Every source, tool and action is scoped according to the expected confidentiality level.
Complete workflow
The agent is not limited to chat: it prepares, classifies, summarizes or routes according to your rules.
SME workflows
What this changes in day-to-day work
Internal FAQ
- Before
- Employees search Drive, Notion, emails or ask the same people repeatedly.
- With RITSL
- The agent answers with validated procedures and indicates the sources to consult.
- Controls
- Approved sources, response limited to scope, escalation when confidence is insufficient.
Request qualification
- Before
- Every client request is read, reformulated and triaged manually before assignment.
- With RITSL
- The agent extracts information, proposes a category and prepares the next questions.
- Controls
- Team validation, confidence thresholds, correction history.
File preparation
- Before
- Several documents must be read and summarized before every meeting or decision.
- With RITSL
- The agent prepares a summary, risks, missing items and points to validate.
- Controls
- Source traceability, human validation, sensitive data excluded when needed.
Comparison
AI agent vs classic chatbot
The goal is not to replace your existing tools. The goal is to choose a first useful, governed and measurable workflow.
| Criterion | Classic chatbot | Business AI agent |
|---|---|---|
| Context | Often answers with a limited FAQ. | Uses your documents, rules and processes. |
| Action | Mainly textual response. | Prepares an action, synthesis or qualification. |
| Control | Limited business governance. | Access, validations and limits defined from the start. |
| Improvement | Hard to correct without redesign. | Corrections and new use cases are integrated progressively. |
Deliverables
What RITSL delivers
- Map of relevant document sources and tools.
- Definition of action scope and validation rules.
- Agent prototype on a priority workflow.
- System prompts, examples, quality criteria and escalation cases.
- Training for the user team.
- Backlog of extensions after the pilot.
Path
A short but controlled deployment
Diagnostic
Map recurring tasks, tools, sensitive data and the teams involved.
Pilot
Choose a limited workflow and build usage rules, prompts, connectors or deliverable templates.
Training
Practical workshop with the teams, based on their own use cases and confidentiality constraints.
Production launch
Deployment, follow-up on first usage, corrections and quality measurement of incoming requests.
FAQ
Frequently asked questions
Can an AI agent replace an employee?
That is not the goal. A good AI agent automates repetitive steps and prepares work, while keeping human validation for sensitive decisions.
Do we need to connect every company document?
No. The first agent should use a limited, useful and validated document scope. Extension comes after quality has been measured.
How long does a first agent take?
A first pilot can be scoped in a few weeks if the workflow, sources and validation owners are clearly identified.
Related pages
Identify the right first use case
The meeting is used to qualify the workflow, data, human validations and business urgency. You do not need a complete specification to start.
Book a diagnostic