What Magical delivers

AI services for large companies

We turn opportunities to reduce costs and grow into AI solutions built for your business. We start with the expected impact and how your company works.

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Explore our projects

Three ways to bring AI into operations

AI agents

More capacity to serve customers and make decisions.

Customer service and team support using your company’s information and rules.

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Query agent · costs and margins

Operations managerWhich business unit had the lowest margin in August, and why?

Query agentUnit B had the lowest margin in August: input costs and rework grew faster than revenue.

UnitMarginRevenue (R$k)Cost (R$k)

Unit A14.2%10085.8

Unit B7.8%10092.2

Unit C11.5%10088.5

Sources usedRevenue by unit · updated Sep 14, 6 a.m.Costs by unit · August

2 Unit B costs await posting · partial result

Send to controllership for reviewAwaiting reviewControllership · request logged Sep 14, 9:12 a.m.

This agent's limits

CanQuery revenue and costsExplain the calculation, citing sources

CannotChange prices, rate tables or recordsAccess payroll or HR data

Hands off to a personWhen data is missingWhen the question calls for a commercial decision

Outcome: answer with sources · open item logged · pricing decision stays with the team

Cost and margin query with cited sources. Application example with demonstration data.

Process automation

Lower costs and fewer delays between steps.

We connect systems and automate repetitive tasks to reduce rework and free up your team.

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Order #10482 · Sample Customer Co.

Order timelineSent to production

09:02Order signedReceived from the CRM with 14 items

09:03Rules checkedAutomatic validationList priceCustomer recordLead timeDiscount

09:03Exception: 12% discount above the 8% approval limitRouted for sales approval

09:20Approved by Sales Manager (fictitious)Justification logged: annual contract

09:21Order sent to the production systemWork order WO-10482 created

Today's exceptions (3)

#10482ApprovedDiscount above approval limitSales Manager

#10479In reviewTax ID mismatch in customer recordMaster data team

#10475DeclinedLead time below minimumPlanning

History: who approved what is logged on every order

Outcome: order in production · exception decided by a person · event trail

From signed order to production, with an exceptions queue. Application example with demonstration data.

Custom solutions

Your business grows. Your system keeps up.

We build systems for processes that your current tools can no longer support.

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Freight quote · QT-2231

OriginCity ADestinationCity BActual weight1,240 kgCubed weight1,580 kgInvoice valueR$ 86,400

Partner combinationsSortPriceTransit time

OptionPickup → linehaul → deliveryTransitPriceMargin

Option 1ChosenP1 → P3 → P22 daysR$ 4,9806.5%

Option 2P3 → P3 → P14 daysR$ 5,0509.6%

Option 3P2 → P2 → P43 daysR$ 5,16010.4%

Option 4P4 → P1 → P42 daysR$ 5,42012.1%

P1–P4: fictitious partners

Breakdown · Option 1

Base freightR$ 3,720TaxesR$ 610FeesR$ 180CommissionR$ 146MarginR$ 324 · 6.5%Customer priceR$ 4,980

6.5% margin is below the 9% minimum set for this route

ApprovalApproval requestedQuoting analyst · 10:14Approved by Sales management10:31 · “Strategic customer, keep the price”Generate proposalPreview PR-2231 ready · commercial rules applied

Outcome: proposal released only after approval · approval logged on the quote

Freight quote with margin check. Application example with demonstration data.

What challenge is limiting your results?

A project can combine all three services. Business impact is the starting point.

How data and rules turn into completed work

We connect company information to the solution’s actions, with review points defined with your team.

Approved sources
Databases, documents and systems approved by the company.
Rules and integrations
Access, criteria and connections that fit the agreed scope.
Solution in use
An agent, an automation or a system built for the work.
Human review
Exceptions, missing information and sensitive decisions stay with the team.

Define control before going live.

Four decisions the company and Magical agree on within the project scope.

Data and access

Which sources are included, who can query them and with what permissions.

Example: query costs and revenue; restrict HR data.

Action boundaries

What can be queried, prepared or executed with approval.

Example: prepare an analysis; the team decides pricing.

Validation

Which scenarios to test and what needs review before the pilot.

Example: flag an answer when information is missing.

Operations

Who handles exceptions and how to evaluate ongoing use.

Monitoring and maintenance depend on the contracted scope.

Understand agent governance

From service to work delivered

From business goals to the first result

We prioritize an opportunity by impact and feasibility. We define an initial project and the criteria for deciding what comes next.

Explore our AI implementation approach

Let’s find the opportunity with the strongest potential in your business

Tell us what you want to reduce, improve or grow. We’ll assess where AI could create value for your business.

Talk to a partner

Tell us your business priority. We’ll get in touch to understand the context and assess the opportunities.

Step 1 of 2

Magical is now backed by Shiva.

AI services for large companies

Three ways to bring AI into operations

AI agents

Process automation

Custom solutions

What challenge is limiting your results?

How data and rules turn into completed work

Approved sources

Rules and integrations

Solution in use

Human review

Define control before going live.

Data and access

Action boundaries

Validation

Operations

From service to work delivered

Rodomilk

Engape Engenharia

Grupo DND

From business goals to the first result

Let’s find the opportunity with the strongest potential in your business

Talk to a partner

Cookies & privacy

Three ways to bring AI into operations

AI agents

Process automation

Custom solutions

What challenge is limiting your results?

How data and rules turn into completed work

Approved sources

Rules and integrations

Solution in use

Human review

Define control before going live.

Data and access

Action boundaries

Validation

Operations

From service to work delivered

Rodomilk

Engape Engenharia

Grupo DND

From business goals to the first result

Let’s find the opportunity with the strongest potential in your business

Talk to a partner