Compliance Automation That Actually Works
Stop chasing evidence across ten different systems. Build a compliance engine that runs continuously, passes audits without drama, and scales with your business.
We help mid-market and enterprise organizations automate compliance for CMMC, SOC 2, ISO 27001, HIPAA, and AI governance frameworks. Whether you’re preparing for your first audit or building continuous monitoring infrastructure, we deliver measurable outcomes with clear deliverables.
1. Find Out Where You Stand (And What to Fix First)
We assess your current state across relevant frameworks, identify automation opportunities, and deliver a prioritized roadmap that shows exactly where to invest your next 90 days.
You'll Get:
- Clear gap analysis showing where you stand against CMMC, SOC 2, ISO 27001, or HIPAA requirements.
- Prioritized automation opportunities ranked by effort vs. impact. This includes mapping controls across multiple frameworks.
- 90-day, 6-month, and 12-month roadmap with specific actions.
- Executive briefing deck ready for board or investor conversations.
What We Deliver:
1. Assessment report
Framework-by-framework maturity scoring, heat map of manual vs. automated controls, and risk severity rankings tied to operational impact.
1. Assessment report
Framework-by-framework maturity scoring, heat map of manual vs. automated controls, and risk severity rankings tied to operational impact.
2. Automation Opportunity Matrix
Specific use cases for automation, effort vs. impact scoring, and tool rationalization recommendations (what to keep, replace, or consolidate).
3. Roadmap
Time-phased plan with 90-day tactical actions, 6-month structural improvements, and 12-month strategic initiatives including budget considerations.
4. Executive Deck
Board-ready summary with investment recommendations tied to measurable risk reduction.
What We Deliver:
Organizations in regulated industries (healthcare, SaaS, financial services, defense, critical infrastructure) who are pursuing SOC 2, ISO 27001, HIPAA, FedRAMP, or CMMC certification. Ideal if you’re running cloud-native or hybrid environments with multiple SaaS tools and experiencing audit fatigue or manual evidence collection processes.
To Get Started, We Need:
Access to current policies, control documentation, and system diagrams. Read-only access to your compliance tools (ticketing, cloud, IAM, GRC platforms). A senior sponsor who can act on the roadmap.
2. Build a Compliance Engine That Runs Itself
Your controls are documented and you pass audits, but every cycle still derails the business. Engineers and operations teams disappear for weeks chasing evidence across systems. You can’t get a real-time view of audit readiness.
We build automated evidence pipelines that capture, normalize, and report compliance data continuously. You get embedded monitoring, clear visibility into gaps, and sustainable processes that don’t require heroics every audit season.
You'll Get:
- Automated compliance engine that captures evidence from cloud, IAM, endpoint, ticketing, HR, and code systems.
- Continuous monitoring with real-time alerts for control failures.
- Reduced manual effort for engineers and compliance teams.
- Always-current view of control coverage across frameworks.
What We Deliver:
1. Architecture Design
Evidence model, control-to-system mapping, pipeline data flow diagrams, and integration design across your tech stack.
2. Evidence Pipelines
Automated ingestion from in-scope systems, centralized repository or GRC integration, control tagging and normalization logic.
2. Automation Opportunity Matrix
Specific use cases for automation, effort vs. impact scoring, and tool rationalization recommendations (what to keep, replace, or consolidate).
3. Automated Workflows
Policy lifecycle automation, risk register and POA&M workflow configuration, exception tracking and remediation routing.
4. Monitoring Dashboards
Control coverage visibility, evidence freshness tracking, exception and risk trending reports.
5. Operational Playbook
Runbooks for managing the automation, documentation of pipelines and integrations, knowledge transfer workshops.
This Works Best For:
Organizations with defined controls who still rely on manual evidence collection. Teams managing multiple cloud/SaaS systems who need to demonstrate compliance to auditors, regulators, or enterprise customers. Companies ready to allocate engineering time for hands-on implementation.
To Get Started, We Need:
Completed compliance assessment (or internal view of control requirements). Access to relevant systems and APIs for automation. Agreement on which frameworks and systems are in scope.
Add-On: Audit Support
We embed with your team for the first audit cycle to operate the system on your behalf. We manage evidence requests, handle auditor communications, and package artifacts directly from the automation infrastructure we built. Ideal if you want to see the system work under real audit conditions before full handoff.
3. Deploy AI Safely Without Slowing Down Innovation
Your teams are rolling out AI tools and models faster than your controls can keep up. Customers and board members ask “is it safe?” and you don’t have a coherent answer. Legal and security teams raise concerns but you lack a clear view of actual risk exposure.
We build practical AI governance frameworks aligned to NIST AI RMF, ISO 42001, or TrustArc standards. You get automated reporting, clear risk classifications, and monitoring for bias, misuse, and data leakage.
You'll Get:
- AI governance framework integrated with existing security and compliance functions.
- Complete inventory of AI use cases, models, and data flows with risk classifications.
- Automated compliance reporting to demonstrate responsible AI practices.
- Implemented controls with continuous monitoring for AI-specific risks.
What We Deliver:
1. AI Inventory & Risk Register
Centralized inventory of AI use cases, systems, models, and data flows. Risk classification by use case. Data sensitivity, regulatory exposure, and business impact mapping.
2. Governance Framework
Defined roles, responsibilities, and decision rights. Governance structure integrated with existing risk and compliance functions. Policy and control objectives aligned to selected standards.
3. Controls & Monitoring Design
Required controls for access, logging, data handling, testing, and approvals. Bias, misuse, and data leakage mitigation requirements. Monitoring and alerting for ongoing risk oversight.
4. Automation & Reporting Workflows
Automated compliance and reporting workflow design. Exception alert workflows. Dashboards for management and executive oversight.
5. Readiness Assessment
Gap analysis against NIST AI RMF, ISO 42001, or TrustArc AI Framework. Control mapping documentation. Prioritized remediation roadmap with milestones.
6. Executive Briefing
Summary of AI risk posture, regulatory exposure analysis, strategic recommendations for governance and next-step investment.
This Works Best For:
Organizations actively deploying AI in products, workflows, or decision-making. Leadership teams concerned about regulatory scrutiny, reputational risk, or customer expectations around AI. Companies wanting structured, measurable approaches to responsible AI beyond policy documents.
To Get Started, We Need:
Executive sponsor who views AI as strategic and will back governance decisions. Willingness from product, data, and security teams to participate in governance design. Initial visibility into AI tools, platforms, and use cases (even if incomplete).
Not Sure Where to Start?
Executive sponsor who views AI as strategic and will back governance decisions. Willingness from product, data, and security teams to participate in governance design. Initial visibility into AI tools, platforms, and use cases (even if incomplete).