Our AI Sandbox assesses, approves and continuously monitors every AI initiative — so governance keeps pace with the business instead of blocking it.
Business users are building AI applications, deploying generative AI, automating decisions and integrating AI into consumer journeys with limited visibility into regulatory obligations, organisational risk or potential consumer harm. The Altara Enterprise AI Sandbox closes that gap.
Inventory, classify and assess every AI application against internal policy and international standards.
Once approved, teams can develop, test and validate AI solutions inside a controlled environment before promoting them into production — with the appropriate governance and approval workflows applied at every gate.
Prove the solution in a governed environment before it touches customers.
Accountable people sign off at each stage, with the decision recorded.
Committee review, decision records and governance reporting in one place.
A formal gate before any system is promoted into live operation.
Every gate, reviewer and decision captured as defensible regulatory evidence.
From the moment an AI idea is proposed through to periodic review of systems already running in production, the Enterprise AI Sandbox provides one governance process for the whole estate.
Continuous runtime monitoring captures performance, evidence and emerging risk for the operational life of every AI system.
The platform aligns with globally recognised AI governance frameworks, alongside your own organisation-specific AI policies and governance standards.
Defensible audit trails, ready for supervisors, boards and internal audit.
What changes once governance is built into the AI lifecycle rather than applied after it.
Everything teams usually ask before bringing AI governance in-house. If yours is not here, we are happy to talk it through.
Anything that applies AI to a business decision — generative AI applications, machine-learning models, autonomous agents and rules-driven automation are all inventoried and assessed the same way.
No. Governance is embedded in the lifecycle rather than applied afterwards, and oversight is proportionate to the risk classification, so low-risk work moves quickly.
ISO/IEC 42001, the NIST AI Risk Management Framework, the EU AI Act, GDPR and POPIA — alongside your own organisation-specific AI policies and governance standards.
Continuous runtime monitoring tracks performance, captures governance evidence and identifies emerging risk, with periodic reviews and model governance for the operational life of the system.
The platform is cloud agnostic — deploy into Azure, AWS, GCP or private cloud, or use the fully managed SaaS option hosted on Microsoft Azure.
AI Governance shares the same governance ecosystem as AURA Regulatory Intelligence, the Regulatory Canonical Data Platform and Consumer Intelligence — one operating model across all four.
Let us show you how Altara embeds governance into AI, regulation, trusted data and customer outcomes.
