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    Enterprise AI · Oracle HCM delivery

    AI agents for Oracle HCM delivery teams

    Client MVP in progress

    Every HCM delivery role gets a personal AI work accelerator.

    Your people stay in control: they shape the agent, use it in their own work, review every output, and approve before anything moves forward.

    1
    painful workflow to start
    3
    roles, each with a dedicated agent
    5
    steps from request to approved work

    What we’re doing

    Each delivery role gets its own AI work accelerator

    An accelerator per role

    Functional, technical, and QA each get an agent shaped around the work they already own.

    Your people shape it

    Specialists configure the agent they will personally use, with their standards, examples, boundaries, and review expectations.

    Cross-role expertise

    As patterns mature, agents bridge the knowledge gap between team members, connecting functional and technical expertise.

    How it works

    Each agent starts as a role accelerator. People keep ownership.

    Worked example: a request for California overtime rules for double time.

    1. Functional owner describes

      “California overtime rules for double time.”

    2. Functional owner + agent

      The agent drafts the functional design with use cases. The owner validates the business rules.

    3. Technical specialist + agent

      The agent drafts the technical design and builds a proof of concept. The specialist refines the logic and edge cases.

    4. QA lead + agent

      The agent checks that the designs align and drafts test cases. QA verifies coverage.

    5. Named reviewer approves

      Required before the work moves forward.

    01

    Assist

    Human and agent pairs prepare drafts, checks, and questions faster.

    02

    Refine

    Human corrections and approved examples improve each role’s agent.

    03

    Compound

    Repeatable work gets faster while people keep judgment, exceptions, and approval.

    First practical move

    Start with one painful workflow

    Every specialist gets an AI work accelerator for their own role. They start faster, adjacent teams get clearer guidance, and the organization builds confidence through real use.

    1. Pick

      Choose one painful workflow

      A recurring fast formula, report pattern, HDL load, or integration change your team keeps queuing for.

    2. Build

      Shape the first agents

      Functional, technical, and QA specialists configure the agents they will personally use, with their own standards.

    3. Use

      Run it on real work

      Use the agent on actual requests, review the output, and improve the instructions around real work.

    Experience across scales

    Our team’s experience spans enterprise applications, data platforms, cloud security, and automation. That background informs how we approach a new workflow; its scope and success measures are agreed for the engagement.

    More about our experience

    Next step

    Bring one real HCM workflow

    We will map the first agent-enabled version together. Tell us what your team keeps queuing for, and we’ll talk through where an agent could take the first draft.

    Book a call