Solutions for governed and scalable AI

• Control Library: bias, privacy, safety, and performance controls mapped to policies
• Risk Assessment Flow: tiering logic, inherent/residual scoring, approvals
• Monitoring & Alerts: drift signals, thresholds, and escalation paths
• Evidence & Audit Trails: decisions, reviewers, and documentation captured

Decision Intelligence Governance

Connect models to business outcomes with clear KPIs, risk thresholds, and decision explainability that executives can trust. Enables faster go/no‑go calls and transparent accountability.

Model Risk Management

Tiered governance, validation standards, challenger testing, and sign‑off workflows built for regulated industries. Reduce findings and accelerate approvals.

Responsible AI

Fairness, transparency, and human oversight designed into products from day one. Practical controls that fit your delivery cadence and compliance needs.

Data Governance for AI

Lineage, quality SLAs, and retention policies that protect privacy and ensure reliable training data. Make data issues visible before they impact outcomes.

MLOps Governance

Gated pipelines, rollback procedures, and post‑deployment monitoring. Keep models resilient as data, behavior, and business conditions change.

• Operations: demand forecasting, workforce planning, and routing optimization
• Finance: credit decisioning, fraud detection, and treasury optimization
• HR: talent screening, promotion fairness, and retention analytics
• Marketing: recommendations, pricing, and experimentation governance
• Public Sector: eligibility, resource allocation, and transparency mandates

Filters help you focus on your sector to see fit‑for‑purpose controls and templates.

• Cloud: AWS, Azure, Google Cloud
• BI & ML: Databricks, Snowflake, SageMaker, Vertex AI
• APIs: model registry sync, evidence capture, and alert webhooks
• Security: SSO, role‑based access, and encryption at rest/in transit

• GDPR: data minimization, purpose limitation, and rights enablement
• NIST AI RMF: govern, map, measure, and manage functions
• ISO references: ISO/IEC 27001 and AI management best practices
• Reporting: risk/control reports and auditor‑ready templates

Starter Sprint

4–6 weeks to stand up a pilot governance workflow and control set for one priority use case. Focused and fast.

Growth Program

Quarterly roadmap delivery with model onboarding, training, and dashboards for leadership visibility.

Enterprise

Company‑wide operating model, technology integrations, and SLAs for continuous assurance.

All packages include SLA highlights for response times, change requests, and evidence retention.

Discuss a Package

How quickly can we start?

Discovery begins within two weeks. A pilot governance workflow is typically live in 4–6 weeks.

Do you replace our tools?

No. We integrate with your data, ML, and workflow tools. Governance adds the decision layer and controls.

What if we’re not regulated?

You still benefit from transparency, faster approvals, and reduced operational risk—without excessive overhead.

Have a different question? Contact us.

Tour real governance workflows, control evidence, and monitoring dashboards.