Lead intake and qualification
Collect the right context, apply transparent routing rules, and send a structured summary to the responsible person.
Intelligence · Practical automation
AI automation in Lebanon: automate the repetition, keep judgment where it belongs.
We design focused automations and AI assistants that answer approved questions, qualify opportunities, search business knowledge, and hand the right context to a human.
The automation path
How it works- 01 Input
Capture the request and its context.
- 02 Logic
Use approved rules and information.
- 03 Handoff
Route the decision to the right person.
Automation handles repetition. People own judgment.
Before the tools
The question is not “Where can we add AI?”
The useful question is: which repeatable delay, information gap, or manual handoff is valuable enough to improve—and safe enough to automate? If a form, rule, or clearer page solves it better, that is the recommendation.
Use cases
Where automation earns its place.
Website assistants
Answer approved business questions, surface relevant pages on the website, and escalate when confidence or scope is insufficient.
Knowledge assistants with RAG
Retrieve from approved documents or data before generating an answer, with source links, access boundaries, evaluation, and a defined “I do not know” behavior.
Workflow automation
Move structured information between forms, inboxes, spreadsheets, CRMs, and notification channels when the integration is reliable and authorized.
Quotation and triage support
Gather requirements and provide a clearly labelled estimate range or next step only when pricing rules and exclusions can be expressed responsibly. Never present a model guess as a binding quote.
Responsible build framework
Useful, bounded, observable.
- Source
- What approved information can the system use?
- Decision
- What may it answer or do, and what remains human?
- Confidence
- When must it abstain or escalate?
- Privacy
- What data is collected, stored, transmitted, and deleted?
- Evaluation
- How is accuracy and failure behavior tested before release?
- Ownership
- Who monitors cost, prompts, integrations, and model changes?
Next step
Show us the repetition. We will tell you whether it deserves automation.
Automation questions
Asked before the brief.
What is RAG?
Retrieval-augmented generation lets an assistant search an approved knowledge source before composing an answer. It can improve relevance and provide traceable sources, but it still requires data preparation, permissions, evaluation, and safe fallback behavior.
Can a chatbot replace customer support?
It can handle suitable repetitive questions and collect context, but it should not pretend to replace human judgment in sensitive, exceptional, or high-value situations.
Can you automate WhatsApp?
Potentially, using approved platform capabilities and a clearly defined workflow. Scope depends on account eligibility, templates, consent, integrations, and the required human handoff.
Do you need access to all our data?
No. Start with the minimum approved information needed for the use case. Access, retention, and deletion requirements should be defined before implementation.