// AI AUTOMATION
Something arrives, it gets read and sorted, and the right next step happens — without anyone doing it by hand. Built against the tools you already use, and handed over as a working system rather than a report about one.
// OVERVIEW
Most businesses do not have an automation problem, they have a queue problem. Enquiries, forms, invoices and follow-ups all arrive in the same place and all wait for the same person to get to them. The work is repetitive but not identical, which is exactly why simple rules and filters have never solved it.
An AI automation reads what arrived, decides what it is, and carries out the next step — routing it, drafting a reply, writing it to a record, or handing it back to a person with everything already prepared. Every build ends with a workflow running against your own tools, a plain-language explanation of what it does, and a clear line marking where it stops and a human takes over.
// CAPABILITIES
Multi-step processes built as connected workflows, with branching, loops, scheduling and rate limiting, rather than one script that has to be right the first time.
Model output parsed into fixed fields other steps can branch on, so a language model becomes a reliable part of the pipeline instead of a paragraph nobody can act on.
Reading, classifying and extracting from the unstructured text a business actually receives — enquiries, emails, forms and notes.
Connecting the tools already in use — spreadsheets, inboxes, CRMs, forms and internal databases — so the automation runs where the work already lives.
Approval steps placed where judgement genuinely matters, so the automation prepares the work and a person still makes the call that needs making.
Duplicate prevention, stop conditions and simulate-before-send switches built into the flow, so a misconfigured run cannot do something irreversible.
// CASE STUDIES
The 7 systems below were built in-house rather than commissioned. Each 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.
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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.
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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.
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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.
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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.
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A webhook captures an inbound enquiry, a model decides whether it is a real lead, how urgent it is and what service it is asking about, then drafts a personalized reply — all parsed and logged automatically.
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One blog post in, three platform-ready pieces out: a LinkedIn post, a Twitter/X post under 280 characters and a one-line newsletter summary, each logged for review before publishing.
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