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    GRCPulse for AI-Powered Continuous Controls Monitoring

    Most GRC software stores your control definitions. GRCPulse computes them against live data, flags every breach with the evidence attached, and puts a person in front of every AI proposal before it enters the record.

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    SEE IT IN ACTION
    See every control in your governance risk and compliance framework, computed live.
    What ships with GRCPulse
    GRCPulse
    6
    Bounded AI agents
    Every proposal waits at a human gate
    GRCPulse
    4
    Control domains out of the box
    Procurement, payments and finance, cyber, construction
    GRCPulse
    1
    Knowledge graph
    Blast radius forward, lineage back to source
    Three steps from control to defensible close.
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    AI-powered GRC platform features built for continuous assurance
    See how every control is performing right now, not last quarter
    • Every control with its frequency, last run, status, coverage and named owner in one view
    • Failed and out-of-bound controls ranked by exposure so the largest risk surfaces first
    • One click to re-run a single control, or sweep the full library on demand
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    Catch the breach while it is still an early warning signal
    • Leading indicators computed live over the procurement and rent roll corpus
    • Signals grouped by severity and domain so attention goes where exposure concentrates
    • Every flagged count traceable back to the real records sitting behind it
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    Trace any breach back to the clause or record that caused it
    • Vendors, obligations, SLAs, contracts, controls and assets modelled as one connected graph
    • Blast radius: light up a single node and see everything downstream it touches
    • Lineage: trace back from the problem to the originating clause or source record
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    Show exactly how each AI output was produced and decided
    • Every application assessed against six responsible AI principles before deployment
    • Human decision rate, average confidence and run error rate tracked as live evidence
    • Nothing writes to the register without a person accepting it first
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    Reporting your audit committee can actually act on

    Executive and transactional reporting built from the same evidence the controls ran on, exportable as a briefing. Six bounded agents keep the picture current in the Agent Hub, and each proposal they raise waits for a named person before it lands in the record.

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    Where GRCPulse sits against traditional GRC software
    Traditional governance risk and compliance software
    • Holds the control definition in a repository
    • Evidence assembled at audit time
    • Risk reviewed on a periodic cycle
    • AI output accepted or ignored
    GRCPulse, the AI GRC platform
    • Computes the control against live enterprise data
    • Evidence produced continuously, one run at a time
    • Prospective indicators computed as new data lands
    • Every AI proposal gated, with the override reason recorded
    Your controls are already written. Start computing them.
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    Beyond governance, risk and compliance.

    Explore the AI product suite that turns signals into decisive action, across risk and compliance, pricing, promotions, working capital, procurement and more.

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    Frequently Asked Questions

    A GRC software platform stores the control definition, the owner and the evidence someone uploads at audit time. Continuous control monitoring software computes that control against live data every time the data changes, so the status you are looking at is current rather than a sample from last quarter.

    No. It sits on top of the data platform and evaluates continuously, which turns a compliance record-keeping system into an assurance system. Existing governance risk and compliance software keeps the policy and workflow layer if you want it to.

    Both. GRCPulse ships a control library across procurement and supply chain, payments and finance, cyber, and construction, and the Controls Recommender proposes more. You can also bring your own. Framework names in generic material are illustrative, so the obligation set for a regulated jurisdiction is confirmed with your team.

    Breach detection is deterministic with no AI in the loop, so an auditor can inspect the rule. Six bounded agents handle AI-powered risk management on top of that, surfacing gaps and breaches forming ahead. Every agent output is a proposal that a named person accepts, rejects or overrides with a recorded reason.

    It needs a cleansed gold layer as its data foundation, not a specific vendor. If that layer already exists the app lands on it, and if it does not, Foundation Studio builds it. GRCPulse runs on Databricks, Snowflake and Microsoft Fabric, with the LLM of your choice and full tracing.

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