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AI-POWERED CLOUD PLATFORM

Move cloud delivery faster, with less risk.

AI-Powered Cloud Platform is Aditi's delivery approach for cloud work—not another platform to manage.
AI accelerates repeatable tasks across discovery, dependency mapping and infrastructure creation, while
our cloud architects remain accountable for architecture, governance and validation.

BUILT FOR BETTER DELIVERY

Why Cloud Work Still Feels Harder Than It Should

What’s getting in the way

Manual Work Slows Cloud Delivery

Cloud programs slow down when discovery, documentation and controls still rely on manual work.

  • Migrations take too long. Manual discovery and dependency mapping delay execution.
  • Security and compliance checks arrive late. Teams must address controls after work is underway.
  • Architecture and infrastructure are rebuilt for every initiative. Teams recreate work instead of reusing proven patterns.
  • Cloud spend is harder to manage.  Limited cost visibility makes it difficult to plan and govern spend.

Underneath it all, one problem keeps showing up: too much of the work between planning and execution is still manual.

That's where delivery breaks down.

How we move it forward

How Aditi Changes the Way Cloud Work is Done

AI accelerates the repeatable work. Aditi’s cloud architects remain accountable for architecture, governance and risk.

  • Standardize delivery. Reuse AI, proven architecture patterns across cloud environments.
  • Accelerate infrastructure creation. Generate infrastructure as code with policy controls built in.
  • Build in governance and cost visibility. Review security, compliance and cost throughout design and deployment.
  • Validate before execution. Review the target environment before deployment or cutover.

The approach: accelerate what’s repeatable and engineer what isn’t.

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The capabilities behind it 

 What powers this approach

  • AI-assisted environment discovery and dependency mapping
  • Proven architecture patterns across AWS, Azure, GCP and private environments that reduce rework
  • Infrastructure as code reviewed by cloud architects
  • Policy-as-code, cost and performance checks
  • Pre-cutover validation of the target environment
 How it works

From Discovery to Governed Delivery

  • Understand your current environment and map dependencies
  • Design the target architecture and generate infrastructure as code
  • Review the generated infrastructure and apply policy controls
  • Validate the target environment before deployment or cutover
  • Review cost, performance and compliance throughout design and deployment
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WHEREVER YOU ARE IN YOUR CLOUD JOURNEY

Start with what your environment needs.

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Building something new

Launch new platforms with architecture, security and governance built into the design.

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Modernizing or migrating

Move and modernize workloads using AI-assisted mapping, infrastructure as code and pre-cutover validation.

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Optimizing what you have

Improve cost, reliability and governance across existing environments.

EXECUTIVE GUIDE

Moving Beyond Manual Cloud Delivery

See how human-led AI reduces manual work across cloud discovery, planning and build while your teams retain control of architecture and governance.
ACCESS THE EXECUTIVE GUIDE
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Team impact

More Time for Engineering Judgment

AI accelerates repeatable cloud work and gives teams reusable environments and automated controls. Engineers spend less time recreating infrastructure and more time on architecture, performance and decisions.

Business impact

Faster Delivery With Clearer Cost and Risk

Move from decision to deployment faster. Build governance into the environment and gain earlier visibility into cost, compliance and performance.
PROVEN, NOT PROMISED

Real cloud work with measurable results.

75% REDUCTION IN MIGRATION TIMELINE

Cross-Cloud Migration for a Global Insurance Enterprise

Discovery, mapping and infrastructure replication were completed in two weeks instead of two months.

Read the Story
PLATFORM ROLLOUT AND TEAM ONBOARDING IN FOUR WEEKS

AI-Governed Infrastructure Delivery for a Regional Bank

Shadow IT was eliminated. Teams gained self-service infrastructure delivery with governance and compliance built in.

Read the Story
THE ADITI DIFFERENCE

Outcome Engineering for Cloud

Aditi’s cloud architects direct the work and remain accountable for architecture, risk and outcomes. AI accelerates the repeatable layer.

You receive infrastructure templates, runbooks and architecture documentation your teams can use and extend.

Security and compliance requirements become policy controls early in the build. Cost is modelled before deployment. Controls stay visible throughout delivery.

Begin with a focused assessment or accelerator. Establish a baseline, produce tangible outputs and identify a practical next step.

WAYS TO GET STARTED

A Focused Place to Start

Cloud Migration
Readiness Assessment

2 Weeks

Best for: Teams planning a migration, facing a data centre exit, or wanting to understand risk before committing.

Key Deliverables

Infrastructure inventory | Dependency map | Migration strategy options | Wave plan | Baseline economics

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Platform Architecture
Accelerator

2–3 Weeks

Best for: Teams launching a new product, internal developer platform, or AI initiative.

Key Deliverables

Reference architecture | Platform blueprint | Cloud service selection rationale | Security and compliance design | Delivery roadmap

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IaC Modernization
Sprint

4 Weeks

Best for: Teams with slow provisioning, inconsistent templates, governance drift, or manual infrastructure changes.

KEY DELIVERABLES

Current-state review | Target IaC patterns | Policy-as-code controls | Delivery standards | Improvement backlog

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Where Is Cloud Delivery Slowing You Down?

Tell us what you need to build, migrate or optimize. We’ll help identify a focused place to start. 

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