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AI Studio · Enterprise AI Control Plane

Scale AI Across the Enterprise Without Scaling Risk

A unified enterprise AI operating layer to build, govern, deploy, observe and continuously improve AI applications and agents across teams, models and environments.

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One Operating Layer

Enterprise AI
Control Panel

Most enterprises run AI on a different login, policy and tool for every team. AI Studio provides a unified governance and operational layer across connected AI initiatives and existing enterprise tools, where enterprise AI gets built, governed and operated.

It integrates with your existing models, agent frameworks, data and engineering tools. It does not replace your enterprise toolchain.

Without AI Studio

  • Different teams use different models
  • Different security controls
  • Limited visibility into AI usage
  • Duplicate AI platforms
  • Inconsistent approvals
  • No enterprise audit trail
  • Increasing LLM spend
  • Difficult regulatory assurance

With AI Studio

  • Common policies
  • Role-based controls
  • Central agent catalogue
  • Model-independent deployment
  • Cost visibility
  • Approval workflows
  • Enterprise observability
  • Auditability across connected AI initiatives

Where AI Studio Applies

Governed AI Across the Bank

AI Governance
for Bank-wide GenAI

Standardise model access, agent registration, approval and audit controls.

Employee
AI Assistants

Deploy controlled assistants for Operations, Risk, Finance and Technology.

Agentic
Banking Workflows

Govern agents interacting with core banking, CRM, payments and enterprise data.

AI Cost
Management

Track model consumption, latency and cost across departments.

From Connection to Continuous Improvement

How It Works

AI Studio dashboard showing requests, risk alerts and governance agents

Link your cloud or on-premises infrastructure, model providers and identity provider (OIDC). Connected AI initiatives run inside your existing security boundary.

Define policies, roles and approval workflows once, so connected teams and products work within the same controls.

Teams build and run AI initiatives on the same control plane, including Forge, Flow, Pulse and CohesionX initiatives connected through supported integrations, with shared observability.

Production traces and usage data flow back into AI Studio, so governance keeps pace as usage grows.

Built In, Not Bolted On

Key Capabilities

01

Control Plane

A unified control plane for enterprise AI agents and initiatives connected to the platform.

02

Production Traces

Real-time visibility into what is running, how it is behaving and who is using it.

03

Identity and Access Control

OIDC-based authentication, per-user isolation and server-enforced module access.

04

Governance

Policy, access and approval controls are built into the platform, not bolted on afterwards.

05

Cloud or Local Deployment

Run in your cloud environment or fully on-premises, to match your data residency and security posture.

06

Multi-Tenant Boundaries

Per-client and per-team isolation, so one platform serves multiple groups safely.

07

Build-Time and
Runtime Controls

Manages build-time agent components and runtime controls such as policies, integrations, stores and scheduled actions.

Governance and trust

Standalone or Connected,
Trust Is Built In.

AI Studio deploys to the cloud or locally. Either way, it enforces OIDC-based authentication, per-user isolation, controlled trace visibility, server-enforced module access and per-client boundaries, so multiple teams or clients can share the platform without seeing each other’s data.

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