AI First: Artificial Intelligence at the center of your operation.
A consulting program to become an AI First organization: we take Artificial Intelligence from diagnosis to operation —maturity, architecture, models, and governance— avoiding the pilots that never scale. We automate processes and transform the customer experience with AI, built on your data and your core.
Schedule an assessment (90 min) → Explore the program →An AI First organization designs its processes, decisions, and experiences on the premise that AI is part of the solution from the outset. SUMāTO's AI First program makes that shift real and structures it into clear stages: understanding where you stand (maturity), selecting the right use cases, preparing the data and architecture, validating with a proof of concept and —above all— industrializing and operating the models with governance. The goal is not to "use AI," but to solve concrete business problems —in process automation and in customer experience— in a measurable and sustainable way.
Six stages, from strategy to operation.
An iterative method in which each stage delivers value and reduces the risk of the next. This is not an "all or nothing" project, but a path that advances in increments until your organization becomes AI First.
Diagnosis and maturity
We assess your readiness for AI —data, talent, technology, and governance— with our AI Readiness and define the starting point.
Use cases and prioritization
We identify opportunities and prioritize them by impact and feasibility, each with its own business case and success metrics.
Data and architecture
We prepare the data and design the AI architecture on which everything else will be built, integrated with your core.
Proof of concept (PoC)
We validate the highest-value use case with a scoped, measurable pilot with clear criteria for moving forward.
Industrialization (MLOps)
We take the model to production with MLOps practices: deployment, monitoring, versioning, and retraining.
Operation and scaling
We operate, measure, and scale to new use cases, with continuous improvement and ongoing governance.
First, where you stand.
You cannot map the path without knowing the starting point. We assess six dimensions that determine whether your organization is ready to generate value with AI and where the gaps lie.
Strategy and use cases
Clarity on which business problems to solve with AI and how they connect to your objectives.
Data and its governance
Availability, quality, accessibility, and governance of the information that will feed the models.
Technology and platform
Infrastructure, cloud, and tools to train, deploy, and operate models.
Talent and culture
Internal capabilities and the organization's readiness to work with data and AI.
Processes and operation
Maturity of the processes where AI will be embedded and their capacity for change.
Ethics, risk, and compliance
Responsible AI frameworks, privacy, and regulatory compliance to adopt with control.
Five levels to place your organization.
The diagnosis positions your organization within a five-level maturity model. Knowing which level you are at defines what is realistic to do today and what the responsible next step toward an AI First model is.
Initial
Isolated, experimental initiatives, with no strategy or governed data.
Developing
First use cases with value, but dependent on one-off efforts and without scale.
Defined
Standardized processes, data, and architecture; AI begins to be repeatable.
Managed
Models in production with MLOps, metrics, and governance; AI is part of the operation.
Optimized · AI First
Continuous improvement, institutionalized responsible AI, and sustained competitive advantage.
Your next step
The AI First program maps the concrete path to advance to the next level, without forced leaps.
The components that make AI work in production.
An isolated model generates no value: value comes from a complete architecture spanning from data to channel, with governance at every layer. These are the components we design and integrate on top of your current ecosystem.
Data layer
Ingestion, pipelines, lakehouse, and feature store: data that is ready, reliable, and versioned to feed models.
Model layer
Training and serving of ML, NLP, vision, and generative AI models, with their registry and version control.
Knowledge base (RAG)
Vector databases and retrieval-augmented generation to anchor AI responses to your verifiable information.
Orchestration and agents
Workflows and agents that reason, decide, and execute actions by chaining multiple models and systems.
Integration with the core
APIs and connectors to CRM, ERP, telephony, and CCTV so AI can read and write where the operation happens.
Experience layer
The channels where AI lives: voice, chat, WhatsApp, email, web, and internal applications.
MLOps and observability
Deployment, performance and drift monitoring, and retraining so models do not degrade.
Security and governance
Access control, traceability, privacy, and responsible AI cutting across the entire architecture.
What kind of AI we use —and when.
There is no single "AI": there are families of models for different problems. Choosing the right model for each case is part of the consulting engagement, and the solution often combines several.
Predictive models (ML)
Supervised learning for forecasting, propensity, risk scoring, and anomaly detection on your historical data.
Natural language (NLP)
Intent classification, sentiment analysis, and entity extraction on emails, chats, and calls.
Computer vision
Detection of objects, people, and events in image and video, the foundation of SONAR for security and HSE.
Generative AI (LLM)
Language models to draft, summarize, and assist, with controlled responses anchored to your knowledge.
RAG (retrieval-augmented generation)
Combines retrieval of your information with generation, for precise and verifiable responses, without hallucinations.
Agents (agentic AI)
AI that reasons and executes actions in your systems —not just responds—, the engine behind Aliee OnePoint.
Two fronts of value: processes and customers.
The AI First approach materializes on two fronts where AI generates clear, measurable returns: automating internal processes and transforming your customer experience.
Process automation with AI
Beyond RPA: AI understands documents, decides with judgment, and executes processes end to end. Discover our AI-powered automation for onboarding and KYC, invoice processing, reconciliations, and case management.
Customer experience with AI
Cognitive agents that resolve and execute, not just respond. With Aliee OnePoint we enable 24/7 service, conversational collections, sales, and support by voice, chat, and WhatsApp, integrated with your CRM.
Onboarding and KYC
Automated customer onboarding and document validation, with compliance.
Document processing
Intelligent reading of invoices and contracts integrated with your systems.
Fraud detection
Models that identify anomalies and atypical transactions in real time.
24/7 service
Autonomous resolution across all channels, with escalation to a human.
Intelligent collections
Reminders and conversational negotiation with records logged in your system.
Internal copilots
Assistants that accelerate your teams using the company's knowledge.
What it takes to start well.
You don't need to have everything figured out: the AI First program is precisely what brings order to these fronts. But knowing the requirements helps set realistic expectations from day one.
A use case with value
A concrete, measurable business problem, not "doing AI" for the sake of a trend.
Available data
Accessible historical or transactional information; its quality is assessed and improved along the way.
Executive sponsorship
A business owner who drives the change and unlocks decisions.
Access to systems
Integration with CRM, ERP, or other sources where AI will read and execute.
Governance framework
Privacy, security, and responsible AI rules, which we define together with you.
A partner that executes
The capacity to build, industrialize, and operate —not just recommend— that SUMāTO brings.
A capability delivered by consultants.
We combine our own technology with consulting discipline. We don't just hand you a model and a manual: we accompany you from diagnosis to operation, with methodology and governance at every stage.
Diagnosis (assessment)
We measure maturity and prioritize use cases with our AI Readiness before investing.
Enterprise architecture
We fit AI into your ecosystem with enterprise architecture and alignment to strategy.
Methodology (PMI / agile)
We execute with discipline, combining PMI and Scrum, with early deliveries.
Models and MLOps
We build, train, and operate the models with MLOps practices alongside our partner SLM.
Managed operation
We operate the solution as a managed service: monitoring, retraining, and response.
Responsible AI and governance
Quality, privacy, and traceability policies for an auditable and defensible AI.
What you receive throughout the AI First program.
- AI maturity map with your position in the five-level model and the prioritized gaps.
- Use-case backlog prioritized by impact and feasibility, each with its own business case.
- Target AI architecture and integration plan with your core (CRM, ERP, telephony, CCTV).
- Model(s) trained and validated in a proof of concept, with documented performance metrics.
- Industrialization plan and MLOps practices for deployment, monitoring, and retraining.
- Responsible AI framework: governance, privacy, traceability, and bias-control policies.
- Dashboard of operational, quality, and value indicators generated by the solution.
- Roadmap of your AI First transformation and managed operation model to sustain and scale.
Common questions about AI First.
What is the difference between AI First and AI Readiness?+
Do we need to have our data perfectly organized to start?+
How much does it cost and how long does it take?+
Is AI going to replace our staff?+
How do you ensure ethics, privacy, and compliance?+
Does it work with the technology we already have?+
Where do we start?+
Take the first step toward an AI First organization.
In a 90-minute session we determine your starting point, identify the highest-return use case, and map your AI First path all the way to operation, with SUMāTO.
Schedule an assessment (90 min) →