هذه الصفحة غير متوفرة بالعربية بعد، وهي مستبعدة من نتائج البحث.

Solution

AI assistants trained on your own operational knowledge

A general chatbot is a novelty. An assistant that knows your price list, your policies and who is allowed to see what becomes part of the operation.

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النتائج

First-line questions answered instantly
Knowledge available without asking a colleague
Consistent answers across the team
Escalation to a human when confidence is low

Solution

حالات الاستخدام

Internal knowledge assistant

Policies, procedures and product data on demand.

Customer support assistant

Grounded answers with handover to an agent.

Operational agent

Taking an action in your systems after confirmation.

ما نقدّمه

Retrieval over your content
Permission-aware answers
Conversation logging and review
Confidence thresholds and escalation
Ongoing evaluation against real questions

لمن هذه الخدمة

Support and internal teams answering the same questions from documents all day
Businesses with substantial written knowledge that is technically searchable and practically not

متى لا تكون الخيار الصحيح

Public-facing advice where a wrong answer carries legal or clinical risk without human review
Organisations with no maintained source content — an assistant over stale documents spreads stale answers

المشكلات التي تحلّها

Repeat questions

A large share of inbound tickets have documented answers. Grounded assistants deflect those and escalate the rest.

Onboarding takes months

New staff need someone to ask. An assistant over internal documentation shortens that considerably.

Answers without provenance

Staff will not trust an assistant that cannot show where the answer came from. Citations are non-negotiable.

البنية والتكاملات

Vector retrieval over chunked, permission-aware content so users never see documents they could not otherwise open.
Citation of source document and section with every answer.
Refusal and escalation paths when retrieval confidence is low.
Feedback capture on every answer, feeding a review queue for content owners.

كيف نُنفّذ

01
Content audit
We identify what is current, what is contradictory and what must be excluded before indexing anything.
02
Grounded retrieval build
Answers are generated only from retrieved source passages, with the citation shown to the user.
03
Escalation design
The assistant hands off to a human with full context rather than guessing when confidence is low.
04
Measured pilot
Deflection rate, correction rate and satisfaction tracked against a pre-launch baseline.

ما الذي يحدّد التكلفة

Content state

Well-maintained documentation is quick to index; contradictory files need an editorial pass first.

Permission complexity

Per-role document visibility adds real design work to retrieval.

Channel count

Web widget, internal chat tool and email each need their own integration.

أين تفشل المشاريع

Confident wrong answers

Without grounding and citations, an assistant invents plausible policy. Retrieval-only answering prevents most of it.

No content owner

Answers decay with the source material. Someone must own the corpus.

FAQ

أسئلة متكررة

How do we stop it inventing answers?+

Answers are grounded in retrieved sources, cited, and refused when confidence is low. We also test against a fixed question set each release.

Can it respect who is allowed to see what?+

Yes. Retrieval is filtered by the user's permissions before the model sees anything.

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