// AI AGENTS
An agent reads what came in, works out what it needs, and acts on it — well beyond a scripted FAQ bot. Built around the process your business already runs, with the limits stated honestly.
// OVERVIEW
A chatbot follows a script someone wrote in advance. An agent is given a goal, a set of tools and a set of rules, and works out the steps itself — which is what makes it useful for decisions currently made by a person reading something and judging it.
The useful version of this is narrow and well-bounded. An agent built around your actual criteria, with access to your actual data, that hands anything outside its remit straight to a person. GENZAX builds that version. Where an agent is the wrong tool — because the decision is rare, high-stakes, or nobody has settled what a correct answer looks like — you will be told that before any work starts.
// CAPABILITIES
Agents given real capabilities — reading a record, writing to a system, calling a service — rather than only producing text.
Behaviour built around the rules your business actually applies, written down and reviewable, instead of an implied default from a generic template.
Every decision returned in a fixed shape, so the surrounding system can branch on it, log it, and be tested against it.
A defined boundary where the agent stops and hands to a person, with the context already gathered so the handover is not a restart.
Answers drawn from your own documents and records rather than from the model's general knowledge, so the agent is right about your business specifically.
A clear read on what the approach will and will not do reliably, before it is built. Some decisions should not be delegated to an agent at all.
// CASE STUDIES
The 5 systems below were built in-house rather than commissioned, and each demonstrates this discipline as part of a larger build. Every one has its own breakdown.
Twenty modules that classify a financial document, extract and self-validate the invoice data, detect duplicates and anomalies, score risk explainably 0–100, and route by that score — with high-risk, high-value, duplicate and anomalous documents never auto-approved, and an audit log on every one.
View case study
Order intake, validation, duplicate detection, AI risk classification and fulfilment routing on one path — then scheduled post-dispatch delivery monitoring, delay and issue detection, escalation, follow-up and daily operations analytics on another.
View case study
AI-powered recruitment automation for candidate analysis, qualification, routing, communication, follow-up and recruitment operations — twenty modules, transparent 0–100 scoring, and human approval on every candidate-facing message.
View case study
An incoming property enquiry is validated, deduplicated, read into structured fields, scored 0–100 and routed by priority — then answered, recorded, followed up twice at most, and stopped the moment the lead replies.
View case study
Eleven connected n8n workflows covering the full acquisition pipeline: discovery, research, problem detection, service matching, scoring, personalized outreach, human approval, reply detection, follow-ups and daily reporting.
View case study// OTHER SERVICES
Seven disciplines planned and built together rather than handed to seven separate specialists, so every piece gets built with the others in mind.
ENZAX