Artificial Intelligence applied.
We turn Artificial Intelligence into operational capabilities that improve service, efficiency, and decision-making. At SUMāTO we don't hand over standalone models: we deliver outcomes, backed by consultants and powered by our own technology.
Schedule a diagnostic (90 min) → See use cases →In business terms, AI enables software to interpret language, images, and patterns to anticipate what will happen and execute tasks that once required specialized human intervention. It doesn't replace your team: it frees them from repetitive work and gives them the context to decide better and faster. The value isn't in the algorithm, but in applying it to a specific process with reliable data and the right governance.
The moment to adopt AI is now.
Model maturity, data availability, and competitive pressure have converged. Adopting AI today is no longer a lab experiment, but an operational decision with measurable return.
Generative AI is within reach
Language models have matured and now integrate into your systems without multi-year projects, dramatically lowering the barrier to entry for business teams.
Your data is already there
Most organizations have accumulated years of information across CRM, ERP, and operations; that data is precisely the fuel AI needs to generate value.
Cost pressure is real
Automating high-volume tasks with AI frees up your team's capacity and contains operating costs without sacrificing service quality.
Customers expect immediacy
24/7 service, instant responses, and personalization are already the standard; AI is the only way to sustain it at scale.
The advantage compounds
Every interaction feeds the models and improves them; whoever starts earlier builds an advantage that laggards find hard to replicate.
Governance is now viable
Responsible-AI frameworks and traceability now exist to adopt the technology with control, compliance, and confidence for the board.
AI technology that operates end-to-end.
We combine proprietary models and data platforms to cover the full spectrum: from the customer conversation to model governance in production.
Cognitive agents / conversational AI
Assistants that understand user intent, retain context, and resolve requests by voice or text without a rigid decision tree.
Generative AI (GenAI) and copilots
Models that draft, summarize, and assist your teams using your organization's knowledge, with responses anchored to verifiable sources.
Natural language processing (NLP)
Intent classification, sentiment analysis, and entity extraction across emails, chats, and calls to understand your customer.
Computer vision / video analytics
Detection of objects, people, and events on existing cameras for security, HSE, and real-time operational control.
Predictive models and forecasting
Demand, churn, and risk forecasting from your history, so you can plan ahead instead of reacting.
Intelligent document processing (IDP)
Automatic reading and structuring of invoices, contracts, and forms, eliminating manual data entry and its errors.
MLOps and model lifecycle
Deployment, monitoring, and continuous retraining so models don't degrade and keep their accuracy in production.
Responsible AI and governance
Traceability, bias control, privacy, and compliance so every AI decision is auditable and defensible to the business.
Where AI creates concrete value.
These are real scenarios we deliver with our products. Each case starts from a business process and is powered by a specific SUMāTO capability.
24/7 customer service
Cognitive agents in AI Contact Center resolve inquiries by voice and chat around the clock and escalate to a human only when needed.
Intelligent collections
Conversational campaigns that negotiate, remind, and manage payments with the right tone for each portfolio segment.
Security and HSE video analytics
AI Video Analytics analyzes your existing CCTV to detect intrusions, PPE use, and critical events, alerting in real time.
Demand forecasting
Predictive models on your history that anticipate demand to optimize inventory, purchasing, and operational planning.
Anomaly and fraud detection
Automatic identification of transactions and behaviors that deviate from the expected pattern, before they escalate.
Automated document processing
Intelligent reading of invoices, contracts, and forms that structures the information and integrates it into your systems without manual entry.
Internal copilots with GenAI
Assistants that answer questions about policies, manuals, and internal data to accelerate your support, sales, and operations teams.
Segmentation and next-best-action
Models that segment your base and recommend the next best action for each customer, lifting conversion and retention.
Voice transcription and analysis
Automatic call transcription with sentiment analysis and contact-reason insights to improve quality and compliance.
What changes in your operation.
Service with no time limits
Your customers get an immediate response 24 hours a day, with no queues and no dependence on the size of your team, improving experience and brand perception.
Efficiency on high-volume tasks
AI absorbs the repetitive work of capturing, classifying, and responding, freeing your people for the tasks that truly require human judgment.
Evidence-based decisions
Predictive models turn your history into foresight, so you plan with data instead of reacting to events.
Scale without proportional cost
Handling twice the interactions no longer means doubling your structure, because capacity grows in software and not only in people.
Consistent, traceable quality
Every interaction runs to the same standard and is logged, making continuous improvement and regulatory compliance easier.
Risk control and governance
We adopt AI with traceability and compliance frameworks, so innovation moves forward without compromising security or reputation.
A capability delivered by consultants.
What sets SUMāTO apart is that we combine proprietary technology with consulting discipline. We don't leave you with a model and a manual: we stand beside you from diagnostic to managed operation, with methodology and governance at every stage.
Diagnostic (assessment)
We evaluate your data maturity and the highest-return cases with our AI Readiness to prioritize where to start with focus.
Enterprise architecture
We design how AI fits into your ecosystem with enterprise architecture and a PETI that aligns technology and strategy.
Methodology (PMI / agile)
We execute with discipline, combining PMI and Scrum frameworks so every initiative advances with control and early deliveries.
AI models / MLOps
We build, train, and deploy the models with MLOps practices to ensure accuracy and stability.
Managed operation
We run the solution as a managed service, monitoring, retraining, and responding so you can focus on your business.
Data governance and compliance
We establish quality, privacy, and traceability policies so AI operates on reliable data and within the regulatory framework.
The criteria the implementation follows.
Implementation is not improvised project by project. The same frameworks that order an assessment order the execution, so what gets built is auditable from day one and the evidence does not have to be reconstructed when the audit arrives.
NIST AI RMF 1.0
Risk management. Every use case goes through govern, map, measure and manage before it touches production.
ISO/IEC 42001
Management system. The implementation leaves the AI management system documented, with evidence traceable for audit.
ISO/IEC 23894
Specific risk. Bias, explainability and model drift are handled as risks with an owner, not as technical incidents.
OECD AI Principles
Responsible use. Transparency and human oversight become design requirements rather than a layer added at the end.
EU AI Act
Compliance. Where the use case falls within its scope, the risk-level classification conditions what can be deployed.
MLOps maturity
Operation. Versioning, drift monitoring and retraining: what separates a model in a notebook from a model in production.
What you receive in an AI project.
- A data and AI maturity diagnostic with a prioritized list of use cases by return and feasibility.
- Solution architecture and an integration plan with your current systems (CRM, ERP, telephony, CCTV).
- AI models trained and validated on your data, with documented performance metrics.
- Assistants, copilots, or conversational flows configured and tested in real-world scenarios.
- A data pipeline and MLOps practices for deployment, monitoring, and continuous retraining.
- A responsible-AI framework: governance, traceability, privacy, and bias-control policies.
- Tracking dashboards with indicators of operation, quality, and value generated by the solution.
- Knowledge transfer, documentation, and a managed-operation model for continuity.
Common questions before you start.
Do we need our data perfectly organized to get started?+
Is AI going to replace our staff?+
How long until we see the first result?+
How do you guarantee privacy and compliance?+
Does it work with the technology we already have?+
Who operates the solution once it's in production?+
What happens if the AI makes a mistake?+
How this capability gets delivered.
Technology alone doesn't change an operation. These are the services that take AI to production and keep it running.
AI First
The program that moves AI from an isolated pilot to a capability the whole organization uses.
Strategic Consulting
Where to invest first: use cases ranked by return and by what your operation can sustain today.
Enterprise Transformation
AI as one piece of a complete program, not a standalone IT initiative.
Is your organization ready for AI?
The AI Readiness Assessment evaluates your data, infrastructure, talent and processes against what a successful adoption actually requires. You leave with gaps prioritized and use cases ranked by impact —before committing budget.
AI isn't deployed the same way in every sector.
- Banking & Finance — fraud detection, credit scoring and automation of regulated processes.
- Healthcare — diagnostic support, medical records management and scheduling optimization.
- Telecommunications — predictive network maintenance and assisted support at scale.
- Retail — demand forecasting, personalization and inventory control.
- Government — assisted citizen services and data analysis for public policy.
Enterprise transformation with SUMāTO.
This capability is part of an end-to-end enterprise transformation program —strategy, AI, data, automation, cybersecurity and cloud—, guided by strategic consulting. The two capabilities that lean on this one most are Data & Analytics —which supplies the input— and Automation (RPA), which executes what AI decides.
Artificial intelligence, in depth.
- From chatbots to autonomous agents — what changes when AI decides and acts, not just answers.
- Architecture of an autonomous cognitive agent — what sits behind it, explained for technical profiles.
- Risk and security in enterprise AI — what to review before you scale.
Let's start with your highest-return case.
In a 90-minute session we identify where AI creates immediate value in your operation and map the path to bring it to production with SUMāTO.
Schedule a diagnostic (90 min) →