Automations
This pillar covers compliance workflows that ingest regulatory changes across jurisdictions and map them to internal policy, operational controls, and system implementations. Pages should show how a custom workflow can reduce legal review burden, surface policy gaps earlier, and create a living compliance architecture for enterprises exposed to multiple regulators.
This page details a custom workflow that continuously ingests regulatory updates from global sources, maps them to internal policies and controls, and flags gaps for legal review. The architecture combines multi-agent parsing, vector search for similarity matching, and integration with GRC platforms to reduce manual tracking burden by 70% and surface compliance risks months earlier.
This page explains a custom orchestration of specialized agents that monitor government portals, legal databases, and news feeds for regulatory changes, score their impact, and route prioritized alerts to compliance teams. The workflow reduces false positives, ensures no update is missed, and integrates with Slack, Teams, and ticketing systems for immediate action.
This page covers a custom workflow where LLM agents parse complex PDFs, statutes, and guidance documents to extract actionable regulatory obligations, deadlines, and scopes. The solution automates the manual summarization bottleneck, structures requirements for downstream mapping, and connects to document management systems like iManage or SharePoint for version control.
This page describes a workflow that correlates similar regulatory trends across different countries (e.g., data privacy laws in EU, US, and APAC) to predict where internal policies need harmonization. Using graph models and semantic analysis, it helps global compliance teams proactively adjust frameworks, reducing redundant policy work and enforcement risk.
This page details a workflow that automatically maps internal policy documents to a living library of regulatory requirements, identifying coverage gaps and over-compliance. The architecture uses RAG and fine-tuned classifiers to link text, supports bulk analysis during mergers, and generates audit-ready gap reports, cutting manual analysis time from weeks to hours.
This page explains a custom workflow that aligns new regulations to existing control frameworks (e.g., NIST, ISO, COSO), automatically suggesting control modifications or additions. It integrates with RSA Archer or ServiceNow GRC to update control libraries and test plans, ensuring the control environment evolves in lockstep with regulatory change.
This page covers a workflow that ingests mapped regulations and scores each business unit's exposure based on geography, product lines, and data flows. The resulting dynamic heatmap helps executives allocate compliance resources strategically, focusing spend on high-risk areas and providing clear visibility for board reporting.
This page describes a workflow where AI agents draft new policy language or revisions by synthesizing regulatory text, existing policies, and legal precedent. The drafts route through configured approval chains in tools like Microsoft Word with Track Changes or Conga, significantly reducing the cycle time for policy maintenance and ensuring consistency.
This page details a custom orchestration layer that synchronizes policy updates across regional repositories, ensuring all versions are aligned and retired documents are archived. It prevents employees from accessing outdated policies, integrates with LMS for training updates, and maintains a defensible audit trail of all changes across jurisdictions.
This page explains a workflow where agents execute control tests by pulling data from source systems (e.g., ERP, IAM), evaluating against rules, and gathering evidence into pre-formatted packs. It automates the tedious evidence collection for audits, schedules tests based on regulatory cycles, and flags deficiencies for immediate remediation.
This page describes a workflow that automatically generates detailed, regulator-ready audit trails by stitching together user actions, system logs, and policy decisions. It structures data for specific report formats (e.g., SOX, SOC 2), reduces the manual compilation burden for quarterly filings, and ensures narratives are consistent and defensible.
This page details a workflow that pulls compliance evidence and metrics from regional systems, consolidates them into a single global report, and formats them for submission to multiple regulators. It handles data transformation, translation, and electronic filing integrations, cutting the reporting cycle and reducing errors from manual copy-paste.
This page explains a workflow that scores incoming regulatory changes based on financial impact, operational effort, and deadline urgency. Using predefined business rules and ML models, it creates a prioritized backlog for the compliance team, ensuring resources are focused on high-impact mandates and preventing last-minute scrambles.
This page covers a workflow that maps regulatory obligations to specific business processes in tools like SAP or Salesforce, simulating the operational changes required. It helps process owners understand exactly what needs to change, estimates implementation cost, and generates requirement tickets for IT and operations teams.
This page describes a workflow that assigns mandatory training based on an employee's role, location, and the regulations mapped to their activities. It integrates with LMS platforms like Cornerstone, tracks completion against deadlines, and escalates non-compliance, ensuring the workforce is always trained on the relevant, current rules.
This page details a workflow that continuously assesses third-party vendors against relevant regulations (e.g., data privacy, conflict minerals). It automates document collection, analyzes contracts and certifications, updates risk scorecards, and triggers re-assessment or audits when regulations change, strengthening the extended enterprise compliance posture.
This page explains a custom workflow for financial institutions to map evolving Basel accords and local prudential rules (e.g., CCAR, Stress Testing) to internal capital models, risk data, and reporting processes. It automates the traceability from regulation to model parameter to report, crucial for audit defense and efficient regulatory change management.
This page covers a workflow that automates the complex data aggregation, validation, and submission required for MiFID II transaction reporting. It connects to trading systems, enriches transactions with required fields, checks for errors, and submits to Approved Reporting Mechanisms (ARMs), reducing operational cost and fines for reporting failures.
This page describes a workflow that ingests new AML directives and local updates (e.g., FinCEN, FCA rules), maps them to existing customer risk models, transaction monitoring rules, and KYC procedures. It flags necessary tuning of detection scenarios and updates policy documents, helping banks adapt their AML programs efficiently to avoid regulatory penalties.
This page details a workflow for healthcare entities to track state-level variations of HIPAA and other patient privacy laws. It maps state-specific requirements to policies, BAAs, and technical safeguards, ensuring compliance programs address the strictest rules across all operational geographies and reducing the risk of state-level enforcement actions.
This page explains a workflow that monitors FDA guidance, CFR updates, and ICH guidelines to assess impact on active and planned clinical trials. It cross-references protocols, informed consent forms, and safety plans, recommending amendments to avoid protocol violations and keeping development teams ahead of compliance curveballs.
This page covers a workflow that maintains a living map of global data privacy obligations, mapping articles to data inventory, processing activities, and consent mechanisms. It automates the analysis of new laws against existing privacy programs, identifying gaps in records of processing, DSR handling, or legal basis documentation for multinationals.
This page describes a workflow that tracks the evolving landscape of cross-border data transfer mechanisms (SCCs, IDTAs, adequacy decisions). It maps data flows, identifies transfers relying on invalidated mechanisms, and triggers legal review for new SCCs or TIAs, ensuring continuous compliance despite shifting regulatory ground.
This page details a workflow to map the EU AI Act's risk-based requirements to internal AI systems, assessing their classification, conformity assessment needs, and documentation obligations. It helps product and legal teams inventory AI use cases, generate required technical documentation, and plan for post-market monitoring.
This page explains a workflow that maps complex ESG disclosure requirements from CSRD, SEC, and other frameworks to fragmented internal data sources. It automates the data collection logic, identifies metric gaps, and structures information for sustainability reporting platforms, turning a manual annual scramble into a managed, audit-ready process.
This page covers a workflow for manufacturers to map global product safety and chemical regulations to Bill of Materials (BOM) and supplier data. It automates the checking of substances against restricted lists, flags non-compliant components, and generates documentation for declarations of conformity, reducing market access delays and recall risk.
This page describes a workflow that tracks changes to HTS codes, sanctions lists, and country-of-origin rules, mapping them to product classifications and shipping lanes. It integrates with ERP and global trade management software to validate shipments in real-time, prevent costly customs holds, and ensure accurate export licensing.
This page details a workflow for industrial sites to map OSHA standards and environmental permits (e.g., EPA, local) to site procedures, training records, and inspection schedules. It automates the update of JSAs and checklists when regulations change, ensuring frontline operations remain compliant and reducing the risk of citations.
This page explains a workflow that extracts regulatory obligations from contracts (e.g., data processing terms, insurance requirements) and monitors operational data for compliance. It alerts legal and business teams to potential breaches before they escalate, turning static contract repositories into active compliance management tools.
This page covers a workflow that ingests third-party risk scores (financial, cyber, geographic) and layers them onto regulatory mapping to assess concentration risk. It helps compliance officers understand which critical regulations are dependent on high-risk vendors, enabling proactive mitigation and stronger supply chain resilience.
This page describes a workflow that uses NLP on legislative drafts, enforcement news, and geopolitical signals to forecast high-likelihood regulatory changes. It models their potential business impact, allowing compliance and strategy teams to simulate responses and allocate budget before mandates are finalized, creating a strategic advantage.
This page details a workflow that aggregates the status of all mapped regulations, control tests, gaps, and actions into a single executive dashboard. It provides real-time visibility into compliance health across jurisdictions, connects metrics to business performance, and serves as the system of record for compliance committee reporting.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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