FAQFrequently asked questions

    Questions, answered.

    Open the question you care about. They are grouped by topic, four at a time.

    01

    About Nexis AI LAB

    4 questions

    We work with companies that need AI automation for business processes in high-volume operational environments.

    Every engagement is fully bespoke and depends on the specific business context, but we typically work with organizations that have:
    • repetitive, high-volume workflows
    • existing digital systems (CRM, ERP, helpdesk, internal tools)
    • a need to reduce manual operational workload
    • interest in deploying AI workflow automation in production

    There is no fixed ideal customer profile — every system is designed around the specific use case.

    General-purpose AI tools are designed for individual use and manual interaction.

    Nexis AI LAB builds custom AI agent systems for enterprises that:
    • integrate directly into your existing tech stack
    • automate end-to-end business workflows
    • operate with internal data, rules, and business logic
    • function as production-grade automation systems rather than prompting tools

    Each implementation is tailored to the organization's operational reality.

    All systems are fully custom AI solutions.

    We do not use off-the-shelf platforms or templates. Each system is designed specifically for the client's operational workflows.

    We are not a good fit when:
    • processes are not clearly defined
    • there is no access to systems or data
    • a plug-and-play tool is expected
    • operational volume does not justify automation
    02

    Technology and AI agents

    4 questions

    An agentic AI system is an architecture of AI agents that execute tasks within business processes.

    Depending on the use case, these systems may include:
    • workflow automation across tools and systems
    • API and internal system integrations
    • execution of real actions (not just text generation)
    • stateful operation with business context

    Each system is designed specifically for the operational environment it runs in.

    AI workflow automation refers to the use of artificial intelligence to automate business processes.

    The exact implementation varies per project and may include classification, decision-making, routing, data updates, or execution of actions inside internal systems.

    AI agents for business are systems powered by large language models that can execute tasks within operational workflows.

    Their behavior, autonomy level, and integrations are fully defined based on each specific business requirement.

    Depending on the use case, AI agents can integrate with CRMs, support platforms, communication tools, databases, and internal APIs.

    Common systems include Salesforce, HubSpot, Zendesk, Intercom, Slack, Notion, and custom internal infrastructure.
    03

    Services and implementation

    6 questions

    Yes. All systems we build are custom AI solutions for enterprises.

    Each project is designed from scratch based on:
    • business processes
    • existing tools and infrastructure
    • technical requirements
    • operational or regulatory constraints

    There are no prebuilt templates or fixed products.

    Yes. We design and implement AI integration services for enterprise systems, including CRM platforms, ERP systems, customer support tools, and internal APIs.

    The integration scope is defined per project based on the client's existing infrastructure.

    No.

    We handle the full implementation lifecycle:
    • system design
    • AI agent architecture
    • integration with existing tools
    • production deployment
    • monitoring and iteration

    A single operational stakeholder is typically enough to define the target workflow.

    Timelines depend on system complexity.

    A first AI workflow automation system in production typically requires several weeks, with exact duration defined during the discovery phase.

    The client owns the delivered system, including logic, configurations, integrations, and documentation, as defined in the project agreement.

    We offer optional ongoing support for:
    • monitoring AI systems in production
    • optimizing AI agents
    • expanding workflows
    • adapting systems to new use cases

    Support scope depends on client needs.
    04

    Investment, security and compliance

    4 questions

    We do not use fixed pricing.

    Each custom AI automation project depends on:
    • workflow complexity
    • number of integrations
    • level of autonomy required
    • technical or regulatory requirements

    Scope and investment are defined during the initial discovery phase.

    ROI depends entirely on the use case and operational baseline.

    We measure impact based on:
    • reduction in manual workload
    • efficiency gains in business workflows
    • error reduction
    • increased operational capacity without headcount growth

    Each system is evaluated individually in production.

    We design systems with an enterprise-grade AI security approach, which may include:
    • role-based access control (RBAC)
    • data encryption in transit and at rest
    • isolated or client-controlled deployments when required
    • secure LLM provider usage

    Security architecture is adapted per project.

    Yes.

    We design systems aligned with GDPR and other regulatory frameworks, depending on the industry and deployment context.

    Compliance requirements are defined per project.
    07Begin

    Tell us what your teamshouldn't be doinganymore.

    A 30-minute diagnosis call. We'll map two or three operative bottlenecks where tailored agents would genuinely move the needle — and show you what the deployment would look like.

    Book diagnosis call
    — No pitch deck.— No generic demo.— Just your operations, examined.