Applied AI services, not isolated experiments
iQbizz turns repetitive activities, documents, data and manually checked decisions into controlled workflows: with clear rules, defined sources, human validation where risk requires it, and before/after measurement.
What the client is buying
The client does not need to know which model, vector database or orchestrator is right. They need to recognise the problem: people copying the same data, documents that are hard to find, repeated replies, delayed reports, blocked product content or approvals that slow execution.
Where does the team lose time every week?
Which information is searched often but hard to find?
Which documents, descriptions or replies are written repeatedly?
Which decisions need review before sending or publishing?
Which data cannot leave the company or needs strict control?
Map of possible AI services
Documents and content — Replies, proposals, briefs and descriptions with assisted generation, templates, tone rules, approved sources and review before sending.
Internal search — A knowledge base with semantic indexing, role-based access, sourced answers and explicit limitations.
Data and decisions — Classification, extraction, reconciliation and alerts with exceptions escalated to a human owner.
E-commerce — Product catalogue content, descriptions, attributes, SEO/commercial checks and approval before publishing.
Operations — Routing, follow-up, status and recovery across forms, CRM, email, files and reports, with logs and notifications.
Governance — Thresholds, tests, privacy and a human owner: what can be automated, what must be approved and how accuracy is measured.
Delivery blueprint
Operating method
n8n, Make, Zapier, Python, REST/GraphQL APIs, webhooks, databases, Shopify Admin API, local controlled-model scenarios and the client’s existing tools.
Time saved, manual interventions removed, error rate, test-set accuracy, handled volume, recovery time and number of exceptions escalated.
We do not automate high-impact decisions without human control. We do not guarantee savings before measurement. Licences, infrastructure and API access depend on the client context.
FAQ
Rules are preferred for clear, verifiable conditions. AI is assessed for text, classification or variation where rules become fragile.
Not always. Some cases can use local processing, but the choice depends on hardware, quality and security requirements.
The rules and exceptions should be stabilised first. Automating an unclear process also accelerates its errors.
Logs, alerts, retry states and a named human responsible person are defined as part of acceptance.
Services
Next step
The first conversation establishes the current situation, available evidence and whether this service is the right starting point. If the underlying issue belongs elsewhere, we recommend the correct route before work begins.