Stručnost / Izbliza
AI asistenti i sustavi znanja
Asistenti za klijente i timove koji odgovaraju iz vašeg znanja — s izvorima, ogradama i ljudskim izlazom.
Prilika
Učini sljedeći korak
boljim korakom.
Buyers and users expect an answer the moment they ask. Support inboxes drown in the same repeated questions, and product, policy and catalogue answers live in documents no one can search in plain language. Assistants change that only when they answer from your content, not from a generic model.
We build the answer surface on your actual content — catalogue, docs, policies and FAQs — with a retrieval pipeline (embeddings + search), citations for every claim, guardrails for out-of-scope questions and a clean handover to a human with full context. We measure deflection and answer quality from day one.
- Suradnja
- Imenovani voditelj isporuke + tim
- Rokovi
- Prototype in 3–4 weeks; FAQ rollout scoped after
Što isporučujemo
Fokus na ispravno.
- Commerce and support Q&A over your data
- Retrieval (RAG) pipeline over catalogue, docs and FAQs
- Guardrails, citations and human-escalation states
- Usage analytics and deflection measurement
Što nosiš
Nešto čime se može upravljati.
- Conversation and knowledge map
- Working assistant on your content with sources
- Guardrails, handover and admin controls
- Rollout plan, docs and measurement
Istraži interakciju
Gledaj kako se tijek otvara.
Radni demo sučelja s oglednim podacima. Odaberi zadatak, prati napredak i pregledaj predloženi rezultat.
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Find inconsistencies in a small sample product catalogue.
Product: Wireless headphones · Category: Audio · Compatibility: missing · Related products use the Headphones category.
- 01Inspect sample product fields
- 02Compare naming and categories
- 03Prepare suggested corrections
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
Prije početka
Malo jasnoće
vodi daleko.
01Što trebate od nas za početak?
Kratak opis problema, poveznicu na trenutnu stranicu ili alat ako postoji, i kako bi izgledao koristan rezultat. Gotova specifikacija ne treba. Pristup, DPA/NDA i sadržaj dogovaramo čim je opseg jasan.
02Radite li s postojećim?
Da. Krećemo od vaše postave i ograničenja. Usredotočeno poboljšanje ili integracija često pobjeđuje preuređenje — opcije i kompromise objašnjavamo, s cijenama, prije obveze.
03Kako se dogovaraju trošak, rokovi i SLA?
Nakon otkrivanja — jasan prijedlog: isporuke, miljokazi, raspored, podrška i uvjeti SLA. Start potpisom; svaka promjena se prije dodatnog rada pismeno redefinira.
Povezana stručnost