Selected Builds
Agentic workflows, AI agents, business process engineering and integrations — designed from how a process runs today, not from a template. Each build is a concept: engineered, labeled and open to be scoped against your operation.
10 concept builds · No fabricated outcomes
ALTENZA LABS · Systems Engineering
Work philosophy
A portfolio is a claim. Instead we show the engineering behind the claim — mapped workflows, layered architectures and honest scope.
Every build starts with how the work actually runs — who does it, what it touches, where it breaks.
AI, automation and integrations are composed into one accountable pipeline, not bolted on as demos.
Approval gates, escalation paths and audit trails stay part of the design from the first sketch.
Concepts are labeled as concepts. Potential impact is stated as potential — never as guaranteed numbers.
Featured systems
Three concepts that show the full shape of ALTENZA's work — from the first trigger to the human gate at the end.
A lead agent that reads every inbound inquiry, qualifies it against your rules and hands the ready leads to the right person.
For Professional Services
Example workflow
A single agent owns the intake-to-handoff chain: read the inquiry, pull the records, apply the qualification rules, task the right owner and brief them on what matters.
A grounded assistant that answers from your own documents — policies, manuals and FAQs — with sources visible at every step.
For Education
Example workflow
A RAG assistant reads from the approved corpus, answers within scope and surfaces the exact source document for everything it says.
An operations agent that handles internal requests — reporting, data look-ups and routine tasks — inside your team's tools.
For Professional Services
Example workflow
An internal agent answers from live data, drafts context for decisions and books or updates records only with the appropriate approval.
Case studies
Concepts engineered against the problems businesses actually repeat. Filter by category — every build shows its problem, its system and its workflow.
Showing 10 of 10 system concepts
The problem · Inquiries come from forms, WhatsApp, email and calls. Someone has to read each one, decide if it fits, find the history and decide who should follow up. At volume, leads slip, get duplicated or stall because the context lives in too many places.
The system · A lead agent that reads every inbound inquiry, qualifies it against your rules and hands the ready leads to the right person.
Example workflowProfessional Services
The problem · Support volume is spiky and repetitive. Agents answer the same shipping, returns and product questions again and again, while genuinely complex cases queue behind them.
The system · Routine customer conversations answered from your own knowledge on WhatsApp, with complex cases routed to a human.
Example workflowE-commerce
The problem · Staff spend call-bound hours on the same questions — opening hours, availability, what to bring. When the line is busy, callers give up and bookings leak.
The system · A voice agent that answers calls, takes appointments and qualifies the reason for calling, before any human is needed.
Example workflowHealthcare Administration
The problem · Invoices, packing lists and manifests arrive in different formats. Entering them by hand is slow, error-prone and hard to audit when something goes wrong.
The system · Invoices, orders and forms read automatically — fields extracted, differences flagged and records updated without re-typing.
Example workflowLogistics
The problem · Prospective students and staff ask the same policy, program and process questions. The information lives in documents that are hard to search, and answering wrong is costly.
The system · A grounded assistant that answers from your own documents — policies, manuals and FAQs — with sources visible at every step.
Example workflowEducation
The problem · Promising leads go cold because the follow-up schedule lives in someone's head. When they come back, the record is thin and the context is gone.
The system · Every qualified lead gets the right next touch on time: scheduled, personalized and tracked inside the CRM you already use.
Example workflowReal Estate
The problem · Order updates, stock questions and support messages live across store, email and chat. Answering them means switching tabs and re-typing the same status updates again and again.
The system · Orders, updates and buyer questions handled in one synchronized flow across your store, inbox and support channel.
Example workflowE-commerce
The problem · Bookings arrive by phone, WhatsApp and form. Confirming them takes emails and calls, and no-shows happen because reminders fall through the gaps.
The system · Requests become confirmed appointments: availability checked, reminders sent, reschedules handled — without the back-and-forth.
Example workflowHospitality
The problem · People spend time chasing the status of orders, records and reports. Answering them pulls attention away from the work itself, and the answers aren't always consistent.
The system · An operations agent that handles internal requests — reporting, data look-ups and routine tasks — inside your team's tools.
Example workflowProfessional Services
The problem · The team's tools work, but as islands. Answers require opening five windows, and automation lives in disconnected scripts that nobody can fully trace.
The system · A single console that brings scattered systems and automation into one workflow — designed around the process, not the tools.
Example workflowSaaS & Technology
System architecture
Every concept runs on the same stack — business above, context beneath, AI in the middle, automation executing, integrations connecting, and people watching the whole run.
Business → Data → AI → Automation → Integration → Humans
Layer 01
Business Layer
The process, its rules and the people accountable for it.
Layer 02
Data Layer
Documents, records, catalogs and customer history.
Layer 03
AI Layer
Language models grounded in the workflow's context.
Layer 04
Automation Layer
Deterministic rules, triggers and scheduling.
Layer 05
Integration Layer
CRM, APIs, messaging and databases.
Layer 06
Human Oversight
Approval gates, escalation and audit trails.
The pipeline through those layers
Form · chat · call · document
A trigger arrives: a message, a request, a file or an event.
Use ↑ ↓ to step through
Example flow — scoped per project
Manual → Intelligent
Nothing on the left disappears — it gets structured. The intelligent lane carries the same task with detection, reasoning and validation, and people stay in the loop exactly where it matters.
Our job is telling you honestly which paths stay manual
Technology & integrations
We build with the infrastructure layer most systems already rely on — engineered to what each product genuinely supports. No 'certified partner' badges here.
AI
Automation
Messaging
Integrations
Foundations
The right stack is decided after the workflow is mapped — never before
Your build
Tell us how a process runs today and we'll map it together — the steps, the systems, the approvals. The concept you get back is engineered around that, not copied from a page.
No fake results · No fabricated case studies · Just engineering