Software engineering and applied AI

Custom software and AI for operations that scale

Support agents, web applications and automation built around your process, connected by a data layer that lets the system learn on its own.

PRINCIPLES

What governs every system we ship.

wiz-system :: production99.9%14:32:01capi.event.send [200]14:32:18lead.qualified [crm]14:32:42webhook.processed14:33:05algo.feedback.ok
01

Systems, not services

We build infrastructure that runs on its own. When we step back, the system keeps working, with nobody copying data from one place to another.

METACRMCAPIn8n
02

Feedback loop

Every real outcome flows back into the system. It learns from what worked, adjusts itself, and gets sharper with every week in production.

03

Zero manual grind

Anything repetitive becomes an automated flow or an AI agent. Your team focuses on strategy and closing, and no operation stalls waiting on a person.

LikesReachFollowersImpressionsClicksEngmt.Qualified Lead
04

Metrics that pay

Likes and impressions do not pay the bills. Every system is instrumented to measure what moves the business: qualified leads, acquisition cost and revenue per channel.

ARCHITECTURE

The journey of a data point, in four layers.

Every Wiz system is built on this stack. From the first click to the AI agent that handles the conversation and decides, all connected in one continuous data flow.

01

Data and Tracking

Server-side tracking and a data layer you can trust.

Meta Ads · Google Ads · GTM · CAPI
02

Automation and Integrations

Webhooks, APIs and routing between systems.

n8n · APIs · Webhooks · CRM
03

Product and Infrastructure

Web applications, databases, deployment and monitoring.

Next.js · Supabase · Vercel · Docker
04

Artificial Intelligence

Agents that handle conversations, classify and decide in production.

LLMs · RAG · Agentes · Multimodal
PROCESS

How we build

01 / 04
01
PHASE 01

Diagnosis

system.scan.operation
diagnostico.json
"cac": "+47%"
"server_side": false
"alerts": 4

Before proposing any system, Wiz runs an x-ray of your operation. We map every process, every bottleneck and every point where manual work is holding growth back.

01
Guided deep dive

In-depth session with the decision maker.

02
Data audit

Access to the ad platforms and the CRM.

03
Report

Formal document with bottlenecks and a plan.

You get a clear view of where the operation is losing money and what it takes to fix it.

02
PHASE 02

Architecture

system_design.v1.blueprint
L1L2L3

From capturing the click to the AI agent that handles the conversation, the architecture connects four layers in a continuous data flow.

01
Server-side capture

Server-side tracking removes blockers.

02
Shared webhook

Platforms start talking through events.

03
Closed feedback

Conversions return via CAPI, training the model.

Every new outcome makes the system sharper, and every qualified lead costs a little less.

03
PHASE 03

Implementation

build.deploy.production
DEPLOY
23.1s
TESTS
142
SCORE
98

Implementation is where the architecture leaves the page and goes into production. Every step runs in an automated pipeline, with tests, continuous deployment and monitoring from the first commit. Nothing ships without passing technical validation.

01
Pipeline in production

Every commit triggers a build and deploy.

02
Validated tracking

Events tested before go-live.

03
Observability

Logs, metrics and alerts from day zero.

When it wraps up, the system is already live, instrumented and ready to run.

04
PHASE 04

Operation and Iteration

system.autonomous.learning
CAC ↓

This is where it starts paying for itself: the system running on its own, handling conversations, learning from every conversion and adjusting the operation with no spreadsheet, meeting or manual step required.

01
Trained algorithm

Every conversion returns via CAPI and teaches the model.

02
Falling CAC

Cost per qualified lead trends downward.

03
No manual dependency

The system calibrates itself.

An operation that learns on its own, scales without draining the team and improves with every new contact.

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SOLUTIONS

The components of the system

Each piece is a module of the system that runs your business. Together they form a single operation, not a list of disconnected services.

BUSINESS INTELLIGENCE
Featured

AI agents for customer service

Conversational support that greets the contact, understands the case, applies the screening rules you define, and hands your team only what is genuinely ready to move forward.

  • Structured screening
  • Audio, image and documents
  • Conversation memory
  • Handoff to a human
Featured

Custom software

Web applications, dashboards and platforms built from the database to the deploy. When no off-the-shelf tool fits, the system is built around your process instead.

  • Web app and platform
  • Login area and permissions
  • Database
  • Deployment and monitoring

Automation and Integrations

Flows that connect your channels and tools, remove repetitive work, and make sure no contact gets lost along the way.

Paid Traffic and Acquisition

Meta Ads and Google Ads campaigns with advanced tracking, so decisions come from real data instead of dashboard guesswork.

CRM and Sales Process

CRM rollout and sales process design to organise contacts, guarantee follow-up and bring visibility to the pipeline.

Local Presence and Reputation

Google Business Profile optimisation and review management so your company shows up first for people nearby.

Bulk Messaging

WhatsApp and email campaigns at scale through official APIs, with segmentation and delivery metrics.

FAQ

Frequently asked questions

01

Is Wiz a marketing agency or a software company?

Wiz is an engineering shop. What we deliver is software: AI support agents, web applications, integrations and process automation. Customer acquisition is one of the layers we know how to build and operate, not the limit of what we do. A good share of our projects never touch paid media at all: they are internal systems, platforms and automated customer service.

02

How does an AI support agent work in practice?

The agent picks up the conversation on the channel your customer already uses, usually WhatsApp, and runs it through the steps you define. It understands text, audio, images and documents, remembers context throughout the conversation, and applies your qualification criteria. When a case clears the bar, the agent hands it to your team with the history organised. When it does not, the agent keeps following up on its own. Every completed conversation returns to the system as data, which sharpens both the screening and the media.

03

How does working with Wiz actually work?

Wiz works with operations as a continuous partner: the system is built, operated and refined over time until it becomes the engine of the business. One-off projects such as a specific application, a support agent or an automation are also possible when that makes sense. The difference shows in the outcome: systems that are operated continuously scale, systems that are delivered and abandoned tend to decay.

04

What stage of business does Wiz serve?

Wiz works with businesses from the early stage all the way to established operations. What changes is the scope: for those starting out, the focus is usually getting the first operation working properly, from customer contact through to recorded data. For mature operations, the focus is automating what is still manual, closing the data loop and scaling without growing headcount at the same rate. The starting point comes out of the diagnosis, with no fixed assumption.

05

Why build with Wiz instead of hiring in-house?

A system like this needs someone who moves between software engineering, applied AI, data and operations. Building that internally means hiring more than one senior profile and waiting months for the team to click. Wiz delivers that structure as a service: the system is built by people who know each layer and operated by people who know what to adjust when a metric moves. For most operations, this model costs less and lands faster.

06

What kind of return should I expect?

It depends on the operation, but the pattern is this: in the first weeks the system goes live and manual work starts leaving your team's plate. As real outcomes flow back into the system, screening gets more accurate and the cost per qualified lead tends to fall over time. Wiz does not promise a specific number, but builds the system that creates the conditions for results to show up and hold.

07

How does the relationship with Wiz start?

With the initial diagnosis: a 60 minute conversation where we map your current operation, identify the main bottlenecks and present an architecture proposal. Afterwards you receive a formal document covering what was discussed, within 2 business days. From there, if it makes sense for both sides, the project gets structured.

STATUS · AVAILABLE

Stop operating in the dark

Start operating with a system

A 60 minute conversation. An honest read of your current operation and what would actually be worth building.

Book a conversation

Reply within 24h of confirmation

analise.json
"gargalo_1": "tracking"
"gargalo_2": "qualif"
"gargalo_3": "crm"
"prioridade": "alta"
01
Initial diagnosis

We map the main bottlenecks in your operation during the call.

BLUEPRINT
3 LAYERS
L1CAPTURAL2QUALIFL3CAPI
02
Proposed architecture

A conceptual design of the system applied to your context.

resumo.wiz.pdf
SIGNED
03
Post-call document

Formal summary of what was discussed, sent within 2 business days.