One architecture.Different business intelligence.

01

Where to apply

Which processes and decisions are real transformation opportunities.

02

How to transform

Which capabilities, agents, data, rules and integrations need to work together.

03

What changes in the business

Which results can be reached, and how to measure them.

01 · Where to apply

Across the whole patient journey: primary care, triage, emergency, consultation, exams, regulation, admission, discharge and follow-up. AI supports clinical decisions, qualifies information, anticipates risks, coordinates teams and cuts delays between care steps.

Strategic question

How do you bring AI into critical processes?

02 · Core business journey

1. Patient
3. Triage
5. Clinical assessment
7. Exams
9. Reassessment
11. Decision
13. Bed / discharge

03 · The AI transformation

AI stops being only documentation or digital service and becomes part of care coordination. Specialized agents support the professional at each step with protocols, clinical information and operational data. Clinical decisions stay with licensed professionals.

Builder structures clinical and operational processes and orchestrates agents and professionals. Atlas connects protocols, rules, data, processes and evidence. The integration bus links medical records, hospital systems and regulation.

Core capabilities

• Clinical Intelligence
• Knowledge
• HITL
• Integration

04 · Expected impact and indicators

• Less administrative time per encounter
• Higher adherence to clinical protocols
• Shorter time between triage, consultation and reassessment
• Earlier detection of risks and pending items
• Better continuity of care
• Traceable recommendations and decisions

CIO questions this case answers

• How do you put AI in the core business?
• How do you integrate AI with legacy systems?
• How do you guarantee security?
• How do you turn proprietary knowledge into AI?

01 · Where to apply

Customer service, billing, complaints, reconnection, outages, field services, maintenance, service quality, collections and customer relationship.

Strategic question

How do you integrate AI with legacy and get results?

02 · Core business journey

1. Customer
3. Intent
5. Commercial data
7. Operational event
9. Rule
11. Action
13. Follow-up

03 · The AI transformation

A customer reports an outage. AI understands the request, checks commercial and operational systems, finds incidents in the area, verifies field crews, applies regulatory rules and guides the next step. The value isn't answering faster: it's connecting the relationship with the customer to the operation that actually solves the problem.

Builder models journeys across service, billing and operations. Atlas relates regulatory rules, procedures, data, agents and decisions. The bus integrates CRM, billing, outage systems, work orders, operational platforms and digital channels.

Core capabilities

• Events
• Operational Context
• Agents
• Integration Bus

04 · Expected impact and indicators

• Higher first-contact resolution
• Fewer repeat contacts
• Shorter average resolution time
• Less rework between service and operations
• Recurring causes found earlier
• Better customer experience and regulatory traceability

CIO questions this case answers

• How do you connect AI to legacy systems?
• When should you use agents?
• How do you accelerate with governance?
• How do you measure ROI?

01 · Where to apply

Customer service, quality, technical support, retention, collections, sales, provisioning and complaint management.

Strategic question

How do you move from chatbots to execution?

02 · Core business journey

1. Interaction
3. Understanding
5. Diagnosis
7. Capabilities
9. Resolution
11. Learning

03 · The AI transformation

A call stops being a logged interaction and becomes operational intelligence. AI reads the context, detects dissatisfaction, checks history and services, queries technical and commercial systems and recommends or runs authorized actions. The same intelligence supports the agent, monitors quality and finds the systemic failures behind thousands of contacts.

Builder redesigns service and resolution, connecting quality, diagnosis, retention and execution agents. Atlas relates policies, scripts, procedures, failure causes and decisions. The bus connects CRM, billing, OSS/BSS, ticketing and channels.

Core capabilities

• Interaction Intelligence
• Agents
• CRM / OSS / BSS

04 · Expected impact and indicators

• Higher first-contact resolution
• Fewer repeat contacts and transfers
• More consistent service quality
• Dissatisfaction detected earlier
• Lower cost per resolution
• Structural causes of complaints detected

CIO questions this case answers

• How do you go from pilot to production?
• How do you integrate agents with OSS/BSS?
• How do you measure ROI beyond hours saved?
• When deterministic automation, when agents?

01 · Where to apply

Citizen service, health regulation, people management, licensing, inspection, benefits, administrative processes, public procurement and audit.

Strategic question

How do you accelerate while keeping sovereignty?

02 · Core business journey

1. Citizen
3. Request
5. Eligibility
7. Process
9. Decision
11. Service
13. Evidence

03 · The AI transformation

A public service doesn't end when the citizen gets an answer. AI helps walk the administrative process: identify the demand, check requirements, query systems, apply rules, flag pending items, prepare documents and route decisions to the competent authority. Less bureaucratic effort, with the legal responsibility kept with the public servant.

Builder separates automatable tasks from decisions legally reserved to servants. Atlas preserves the link between legislation, rules, processes, competences, data and decisions. The bus coexists with SEI, public ERPs, sector systems and registries.

Core capabilities

• Process Intelligence
• Policy
• Audit
• Legacy

04 · Expected impact and indicators

• Shorter processing time
• Fewer requirements and rework
• More consistent application of rules
• Better transparency and traceability
• Shorter administrative queues
• More service capacity and accessibility

CIO questions this case answers

• How do you modernize without replacing legacy?
• How do you preserve sovereignty?
• How do you keep governance and security?
• How do you build in legal rules and human decisions?

01 · Where to apply

Credit, onboarding, document analysis, fraud prevention, compliance, collections, customer service, contract management and financial operations.

Strategic question

How do you accelerate without losing control?

02 · Core business journey

1. Request
3. Documents
5. Validation
7. Risk analysis
9. Policy
11. Decision
13. Formalization

03 · The AI transformation

AI stops being only the analyst's assistant and coordinates work across data, documents, policies, transactional systems and risk decisions. Agents gather evidence, flag inconsistencies, prepare analyses and route exceptions. Deterministic rules and human approvals keep the decisions that need specific controls.

Builder creates reusable validation, analysis, classification and execution capabilities. Atlas connects policies, data sources, models, rules, decisions and evidence. The bus integrates core banking, ERPs, CRMs and external services, respecting each operation's controls.

Core capabilities

• Policy
• Risk
• Evidence
• Human Approval

04 · Expected impact and indicators

• Shorter analysis time
• Less document rework
• More consistent policy application
• Lower operating costs
• Better exception detection
• Full traceability and auditability

CIO questions this case answers

• How do you use different models without lock-in?
• How do you protect financial data?
• How do you audit decisions?
• How do you combine AI and deterministic rules?

01 · Where to apply

Quality, maintenance, production, planning, supply, logistics, operational safety and supplier management.

Strategic question

How do you turn technical knowledge into AI?

02 · Core business journey

1. Operational event
3. Diagnosis
5. Technical knowledge
7. Action
9. Validation
11. Learning

03 · The AI transformation

A non-conformity stops being just a quality record. It can start an assisted investigation, check equipment history, find the applicable procedures, recommend actions and prepare maintenance or inspection orders, connecting sensors, reports and procedures without replacing deterministic and industrial-safety controls.

Builder structures diagnosis, investigation, planning and execution capabilities. Atlas relates assets, processes, procedures, rules and evidence. The bus connects ERP, MES, CMMS, IoT platforms and industrial systems within operational-safety boundaries.

Core capabilities

• IoT
• Domain Knowledge
• Agents
• Events

04 · Expected impact and indicators

• Fewer unplanned stops
• Faster failure investigation
• Better quality, less rework
• More use of technical knowledge
• Better maintenance planning
• Traceable non-conformities

CIO questions this case answers

• How do you connect AI to industrial systems?
• When should you use specialized models?
• How do you turn technical knowledge into proprietary intelligence?
• When agents, when deterministic automation?

01 · Where to apply

Student service, pedagogical planning, teacher support, learning follow-up, student retention, academic management and administrative processes.

Strategic question

Which AI do you give your people?

02 · Core business journey

1. Student
3. History
5. Need
7. Intervention
9. Follow-up
11. Outcome

03 · The AI transformation

AI stops being only a content generator and supports the educational journey, connecting academic records, activities, pedagogical criteria and institutional processes. Agents help teachers prepare activities, flag students who need follow-up and help administrative teams resolve requests.

Builder structures academic and administrative journeys. Atlas organizes educational policies, pedagogical frameworks, institutional knowledge and evidence. The bus integrates academic systems, virtual learning environments and administrative platforms.

Core capabilities

• Fabric
• Knowledge
• Skills
• Context

04 · Expected impact and indicators

• Less administrative effort for teachers
• Faster student service
• Faster detection of follow-up needs
• More consistent academic processes
• More personalized pedagogical support
• Better tracking of educational indicators

CIO questions this case answers

• Which AI do you give teachers and staff?
• How do you protect student data?
• How do you measure results?
• How do you adapt AI to the institution's knowledge?

01 · Where to apply

Sales, proposals, pricing, contracts, customer service, purchasing, inventory, logistics, after-sales and relationship.

Strategic question

How do you transform processes end to end?

02 · Core business journey

1. Opportunity
3. Pricing
5. Margin
7. Risk
9. Approval
11. Contract
13. Revenue

03 · The AI transformation

AI stops only writing sales copy and coordinates the processes that generate revenue. A B2B deal needs a proposal, discount, margin analysis, legal review and signature. Instead of running every approval in sequence, Builder redesigns the flow to work by exception: deals within policy go straight through; higher-risk ones go to the people accountable.

Builder models the commercial journey, finds bottlenecks and composes pricing, financial validation, contract analysis and approval capabilities. Atlas relates commercial policies, contracts, customer data, rules and evidence. The bus integrates CRM, ERP, CPQ, CLM and e-signature.

Core capabilities

• Builder
• Capabilities
• Policy
• Integration

04 · Expected impact and indicators

• Shorter sales cycle
• Less time from opportunity to contract
• Fewer unnecessary approvals
• Higher adherence to commercial policies
• Less rework between teams
• Better margin and risk control

CIO questions this case answers

• How do you find processes fit for AI?
• How do you combine agents and workflows?
• How do you integrate CRM and ERP?
• How do you prove ROI?