# Starya — Applied AI

> StaryaAI accelerates your AI strategy, connects systems and data to NebulaOS, and develops agents and automations for your operation.

Public institutional website content. Examples are fictional; case results retain the scope and sources of the original account. Careers presents professional profiles for the Starya talent network.

## Content files

- [Full text of public pages](https://starya.ai/en/llms-full.txt)
- [Índice em português](https://starya.ai/llms.txt)

## Public pages

- [From a request to completed work. | Starya](https://starya.ai/en/lp/home): Connect AI agents to the processes, people and systems behind your operation. Start with a concrete journey, clear responsibilities and outcome criteria.
- [Every financial request, with context and an owner. | Starya](https://starya.ai/en/lp/bfsi): Connect service and back-office teams with agents that organize information, consult authorized sources and support execution within operational rules.
- [Fewer handoffs in the employee journey. | Starya](https://starya.ai/en/lp/rh-corporate): Bring policies, systems and teams together so AI agents can support internal requests with context, privacy and clear responsibilities.
- [Continuity from service to the next step. | Starya](https://starya.ai/en/lp/saude): Connect agents to healthcare channels and systems to support operational guidance, scheduling and follow-up, with human review where it is needed.
- [From notification to resolution, without losing context. | Starya](https://starya.ai/en/lp/seguros): Organize requests, documents and responses with agents connected to insurance rules and systems. The team tracks outstanding items and retains control of decisions.
- [Integration that follows responsibility. | Starya](https://starya.ai/en/lp/wd): Design an AI agent operation around its action boundaries, dependencies and acceptance criteria. Engineering and operations work together, from discovery through improvement.
- [AI agents for operations | Starya](https://starya.ai/agents): Connect agents to your operational systems, data and rules, with evaluation, action boundaries and human involvement.
- [AI applications for work | Starya](https://starya.ai/apps): Interfaces and workflows that make AI usable at work, with context, integrations, monitoring and control over actions.
- [Applied AI for healthcare operations | Starya](https://starya.ai/solutions/healthcare): Explore patient service, access, documents and coordination, with system integration and clear clinical responsibilities.
- [Applied AI for insurance operations | Starya](https://starya.ai/solutions/insurance): Organize service, documents, quotes and follow-up in insurance, respecting product rules and authorized decisions.
- [AI for business operations | Starya](https://starya.ai/solutions/other): Assess service, document and internal workflows through their systems, data, owners and verifiable outcomes.
- [Privacy Policy | Starya](https://starya.ai/privacy): Read the Starya privacy policy, including data collection and use, sharing, rights and ways to contact us.
- [Terms of Use | Starya](https://starya.ai/terms): Read the conditions of use, responsibilities, access rules and other provisions in the Starya Terms of Use.
- [Starya in the media | Starya](https://starya.ai/news): Reporting, interviews and podcasts about Starya and applied AI in operations, with each publication’s original date and source.
- [Client Engineering Lead | Careers at Starya](https://starya.ai/en/careers/client-engineering-lead/): Lead people and build software close to customer operations: connect discovery, code, and delivery decisions to apply AI with NebulaOS to real processes and systems.
- [Forward Deployed Engineer (FDE) | Careers at Starya](https://starya.ai/en/careers/forward-deployed-engineer/): Discover the problem with the people who run the operation and code the solution: connect data, systems, and AI workflows in NebulaOS, following what happens after deployment.
- [Engineering Lead — Product Engineering | Careers at Starya](https://starya.ai/en/careers/product-engineering-lead/): Develop people and guide the technical evolution of NebulaOS, turning operational needs into capabilities that different customers can adopt and the team can maintain.
- [Software Engineer | Careers at Starya](https://starya.ai/en/careers/software-engineer/): Deepen your Backend, Frontend, or Full-stack practice in NebulaOS, building services and experiences that let people configure, monitor, and intervene in AI operations.
- [Product Manager | Careers at Starya](https://starya.ai/en/careers/product-manager/): Lead discovery, priorities, and adoption for NebulaOS, connecting operational problems to product choices and results that users and teams can recognize.
- [Quality Engineer (QA) | Careers at Starya](https://starya.ai/en/careers/quality-engineer/): Build quality evidence for NebulaOS, combining automation, investigation, and AI evaluation to verify journeys, authorization, and effects on integrated systems.
- [AI Research Engineer | Careers at Starya](https://starya.ai/en/careers/ai-research-engineer/): Develop AI methods and evaluations that guide release and evolution at scale, with traceability, quality, and control for operations in regulated environments.
- [Product Designer | Careers at Starya](https://starya.ai/en/careers/product-designer/): Design the operational experience of NebulaOS so people can configure agents and workflows, monitor executions, and intervene with clarity when a situation requires a human decision.
- [Engineering Lead — Data, Infrastructure & Security | Careers at Starya](https://starya.ai/en/careers/data-infra-security-lead/): Lead the development of NebulaOS foundations: data contracts, deployment paths, and controls that teams can adopt and operate.
- [Data Engineer | Careers at Starya](https://starya.ai/en/careers/data-engineer/): Develop ingestion pipelines and data models for NebulaOS, preserving the history, quality, and meaning of information from customer systems.
- [Site Reliability Engineer (SRE) | Careers at Starya](https://starya.ai/en/careers/site-reliability-engineer/): Build infrastructure, automation, and observability to deploy and operate NebulaOS, recover from failures, and keep capacity and costs appropriate to usage.
- [Security Engineer | Careers at Starya](https://starya.ai/en/careers/security-engineer/): Implement and test authorization, customer isolation, and data protection in NebulaOS, from code and integrations to execution infrastructure.
- [We accelerate your AI strategy. NebulaOS is the operating foundation. | Starya](https://starya.ai/en/): StaryaAI accelerates your AI strategy, connects systems and data to NebulaOS, and develops agents and automations for your operation.
- [AI operations: deployment and improvement | Starya](https://starya.ai/en/what-we-do/): Explore how Starya assesses, deploys and monitors AI operations, combining engineering, context and integration with business systems.
- [Forward Deployed Engineering for AI operations | Starya](https://starya.ai/en/how-we-work/): See how Starya and your team investigate an operation, deploy improvements and verify outcomes. Explore the FDE approach through concrete examples.
- [AI operations: customer stories | Starya](https://starya.ai/en/cases/): Explore customer service, engagement and operational AI stories. Understand the problem, integrations and team responsibilities in each delivery.
- [NebulaOS: the technology behind your operation | Starya](https://starya.ai/en/platform/nebulaos/): NebulaOS connects models, sources and tools and helps monitor the points included in the deployment.
- [NebulaWorks: conversations, decisions and workflows | Starya](https://starya.ai/en/platform/nebulaworks/): NebulaWorks is Starya’s work surface on NebulaOS: team conversations, decisions and workflows. Not the US consultancy of the same name.
- [SaaS, dedicated infrastructure and data sovereignty | Starya](https://starya.ai/en/deployment-and-data/): Compare SaaS and assisted deployment, explore data flows and understand the reference architecture for federated AI.
- [Enterprise and Custom: how to buy | Starya](https://starya.ai/en/how-to-buy/): Explore Enterprise, Starya’s business offering, and Custom for tailored requirements. Define scope, deployment model and terms in a proposal.
- [Trust Center: security, privacy and deployment | Starya](https://starya.ai/en/trust-center/): Access public documents and prepare to assess your deployment’s data, responsibilities and evidence.
- [Differentiators and scale in AI operations | Starya](https://starya.ai/en/differentiators/): Explore the mechanisms connecting Starya’s technology and operational experience, with customer stories, sources and figures presented in context.
- [Practical guides to putting AI into operation | Starya](https://starya.ai/en/guides/): Worksheets for planning an initiative, monitoring actions, handing context to the team, organizing communications and choosing a deployment approach.
- [Articles on operations, evidence and Applied AI | Starya](https://starya.ai/en/articles/): In-depth reading on AI actions, monitoring after deployment and choosing your first operation.
- [Applied AI library: articles, guides and examples | Starya](https://starya.ai/en/resources/): Find resources by topic and format: guides, customer stories, articles, learning paths and interactive examples of business AI operations.
- [Learning paths to understand, deploy and improve AI | Starya](https://starya.ai/en/learning-paths/): Choose a reading and application path for your operation’s current stage: start, assess, collaborate, deploy or improve.
- [Documentation and integration for technical teams | Starya](https://starya.ai/en/documentation/): Find starting points for understanding NebulaOS, agent integration, deployment decisions and Starya’s public technical documentation.
- [Interactive examples of AI operations | Starya](https://starya.ai/en/examples/): Explore appointment scheduling, diagnostic test coordination, voice and IVR/PBX, reimbursements, claim adjustments, medical staffing and inventory through fictional interactive scenarios.
- [About Starya: technology and operational experience | Starya](https://starya.ai/en/about/): Explore Starya’s history, team and approach to building and improving business operations with artificial intelligence.
- [Careers: build Applied AI at Starya | Starya](https://starya.ai/en/careers/): Build AI that works in real operations. Explore Client Engineering, Product Engineering and Data, Infrastructure & Security profiles in Starya’s talent network.
- [Plan a new AI operation | Starya](https://starya.ai/en/plan-initiative/): Start with a process, an objective and an initial scope. Explore how to plan a new AI initiative.
- [How to choose an operation to start with | Starya](https://starya.ai/en/guides/primeira-operacao/): A guide to defining the process, the expected outcome, and who takes part.
- [What to ask about AI already in use | Starya](https://starya.ai/en/guides/acompanhar-ia/): Actions, access, and evidence to bring to the discussion with the team.
- [How to organize operational monitoring | Starya](https://starya.ai/en/guides/evolucao-continua/): A routine for learning from failures, handoffs, and outcomes.
- [How to hand a conversation over to the team | Starya](https://starya.ai/en/guides/mediacao/): Prepare the context that allows a person to take over and continue.
- [How to prepare a communication with AI | Starya](https://starya.ai/en/guides/comunicacao/): Organize the audience, content, timing, and continuity before sending.
- [How to prepare for a deployment decision | Starya](https://starya.ai/en/guides/implantacao/): Bring the environment, processing, access, and responsibilities into the same discussion.
- [Your AI answered “done”. But was the task completed? | Starya](https://starya.ai/en/articles/resposta-e-resultado/): “Done” in the chat does not prove completion. The difference between the agent's response, the execution of the action, and confirmation in the target system, with an owner and evidence.
- [The work begins when the Applied AI operation goes into production | Starya](https://starya.ai/en/articles/depois-da-implantacao/): What to monitor after deployment: failures, handoffs, quality, and the operation's evolution.
- [How to choose the first operation for applying AI | Starya](https://starya.ai/en/articles/escolher-primeira-operacao/): Process, expected outcome, data, owner, and boundaries before choosing a solution.
- [The operation showed where AI could help more. | Starya](https://starya.ai/en/cases/dr-consulta/): From engagement in care pathways to appointment scheduling.
- [Voice support with continuity for the team. | Starya](https://starya.ai/en/cases/unicall/): Authorization status checks and duplicate payment slips, with context passed along.
- [From information gathering to quoting, with the salesperson kept in context. | Starya](https://starya.ai/en/cases/sami-saude/): Qualification and quoting through WhatsApp, connected to HubSpot.
- [A report prepared by AI. An approval that remains human. | Starya](https://starya.ai/en/cases/vita/): Organizing information for editable surgical reports.
- [Welcoming support and referrals connected to the care team. | Starya](https://starya.ai/en/cases/santa-joana/): Support through WhatsApp during maternal health journeys.
- [From each company's need to an operating solution. | Starya](https://starya.ai/en/cases/algar-brain/): Discovery, deployment, and ongoing support of agents for enterprise clients.
- [The conversation needs to be connected to the operation. | Starya](https://starya.ai/en/cases/twilio/): WhatsApp communication integrated with agents and the human team.
- [Start an operation | Starya](https://starya.ai/en/learning-paths/comecar/): From the chosen process to the first initiative.
- [Understand existing AI | Starya](https://starya.ai/en/learning-paths/avaliar/): Actions, access and evidence to organize the next step.
- [Operate with the team | Starya](https://starya.ai/en/learning-paths/operar/): Connect service, communication and continuity.
- [Decide on deployment | Starya](https://starya.ai/en/learning-paths/implantar/): Environment, data and responsibilities in the same conversation.
- [Improve with evidence | Starya](https://starya.ai/en/learning-paths/evoluir/): Turn observation into an improvement whose results are monitored.
- [One claim denial, two perspectives | Starya](https://starya.ai/en/examples/glosas/): Follow an administrative discrepancy between a provider and an insurer, including documents, an exception and a response.
- [Healthcare reimbursement: the file before the decision | Starya](https://starya.ai/en/examples/reembolso-saude/): Link expenses and receipts to identify which items are documented and which need additional information.
- [From expense to an organized expense report | Starya](https://starya.ai/en/examples/reembolso-corporativo/): See how a receipt, a justification and a cost center affect the handoff of an expense report.
- [One absence. Two staffing alternatives. | Starya](https://starya.ai/en/examples/escala-medica/): Compare coverage, availability, recorded qualification, room and budget before proposing a change.
- [A delay changes the inventory network | Starya](https://starya.ai/en/examples/estoques/): Connect demand, reservations, batches and delivery dates to assess a transfer between sites.
- [From conversation to a confirmed appointment | Starya](https://starya.ai/en/examples/agendamento-consultas/): Connect preferences, site and schedule. An offered time becomes a booking only after the system confirms it.
- [Several tests. One journey that needs to fit. | Starya](https://starya.ai/en/examples/motor-exames/): Explore a test scheduling engine that combines sequence, intervals, site and times, with a separate response for each item.
- [The call continues. So does the context. | Starya](https://starya.ai/en/examples/voz-ura-pabx/): Voice agents and IVR integrated with Starya’s PBX or the customer’s PBX, with handoff to the team and transfer confirmation.
- [How do you design a secure architecture for Applied AI? | Starya](https://starya.ai/en/guides/arquitetura-segura-ia-aplicada/): A roadmap for connecting the operation to enterprise systems with identities, action limits, confirmation, and failure recovery.
- [What a CISO asks before putting Applied AI into production | Starya](https://starya.ai/en/guides/ciso-ia-aplicada-producao/): How to audit what an AI agent did: connect scope, data, RBAC/ABAC, the audit trail, and recovery in a matrix of controls, evidence, owners, and outstanding items.
- [How to track results and exceptions in an operation with Applied AI | Starya](https://starya.ai/en/guides/operacao-ia-aplicada-resultado/): Define completion, responsibilities, and process metrics to track the operation and teams without confusing messages with completed work.
- [Shared SaaS or Dedicated: how to choose a deployment | Starya](https://starya.ai/en/guides/shared-saas-vs-dedicated/): Compare operations, isolation, networking, data, models, changes, and support. Record requirements, personal data, conditions, and owners, and bring the map to the LGPD assessment.
- [Who is the owner of an AI agent in production? | Starya](https://starya.ai/en/guides/responsavel-agente-ia-producao/): The owner of an AI agent is a named person, not “the AI”. See what they decide, when they take over, and how to name them before the pilot.