Cloud Infrastructure + Operations | Financial Services

Building Governance Into Cloud Delivery

A large regional bank needed greater control over infrastructure delivery across its distributed cloud teams. Its policies were not consistently built into delivery workflows, creating audit risk and limiting trust in infrastructure outputs.

Aditi deployed its AI-Powered Cloud Platform to bring infrastructure rules, approved-tool access, and continuous audit into the delivery process.

At a glance

Delivery approach

Human-led, AI-accelerated

4 weeks

Platform rollout and full team onboarding

Governance scope

Infrastructure rules, policies, compliance, tooling access, and audit

The Challenge

When governance exists on paper but not in delivery

The Challenge

Although policies and best practices existed on paper, they were not embedded into delivery workflows. Teams regularly used unapproved tools, accessed systems outside governance boundaries, and implemented infrastructure inconsistently — creating compounding risk across every release cycle.

The bank needed to:

  • Centrally define and enforce infrastructure rules across teams
  • Restrict access to approved tools and systems — eliminating shadow IT
  • Continuously audit infrastructure against internal and regulatory standards
  • Accelerate change approvals without sacrificing governance rigour

Enable broader participation beyond engineering — including security and architecture stakeholders The bank faced:

  • Audit and compliance risk from inconsistent configurations
  • Slow approval cycles and heavy manual oversight
  • Bottlenecks between development, security, and architecture teams

The Solution

Establishing governed infrastructure delivery

The Solution

Aditi engaged the bank under its Platform Enablement & Optimization model, deploying the AI-Powered Cloud Platform to establish centralized, AI-enforced governance at scale. The human-led, AI-accelerated approach combined Aditi’s cloud architecture expertise with the AI engine powering the platform to deliver:

  • Centralized definition of infrastructure rules, policies, and compliance requirements — ingesting both company-specific and industry-specific regulatory standards
  • AI-driven infrastructure delivery agents aligned to approved standards — eliminating manual drift from the point of provisioning
  • Continuous audit of all agent actions against internal policies and regulatory frameworks — producing audit-ready documentation automatically
  • Seamless integration with existing repositories and change management processes — no workflow disruption
  • Context distribution layer to propagate best practices across all teams, reducing dependency on tribal knowledge
  • Controlled access model enforcing use of approved tools and systems — enabling non-developer stakeholders (security, architecture) to contribute directly without coding or Git expertise

Business Outcomes

  • Standardized infrastructure delivery across distributed cloud teams
  • Enforced use of approved tools and restricted unauthorized system access
  • Reduced compliance risk from inconsistent configurations
  • Enabled self-service provisioning with governance and compliance built in from the start
  • Reduced manual governance overhead through continuous automated audit
  • Supported faster change approvals with automatically generated, audit-ready documentation
  • Increased trust in infrastructure outputs across development, security, and architecture teams
  • Enabled security and architecture stakeholders to contribute without coding expertise

What Changed

The bank moved from fragmented infrastructure workflows toward standardized, governed self-service delivery.

Policies that had existed separately from delivery became standards applied during infrastructure provisioning and tool access. Distributed teams could use self-service delivery under those standards, while security and architecture stakeholders participated in the same process.

Technology Environment

Technology Environment

AI-Powered Cloud Platform, AI-driven infrastructure delivery agents, Existing repositories and change management processes

Technology Environment

  • AI-Powered Cloud Platform
  • AI-driven infrastructure delivery agents
  • Existing repositories and change management processes

Ready to make cloud delivery more governed without making it slower?

Build a delivery model where AI handles repeatable work while your teams stay focused on architecture, governance, and the outcomes that matter.