AI Readiness

Build the Foundation for Scalable, Responsible AI

Levi9 helps you prepare your people, data, and systems to fully leverage AI—securely and strategically.

Why It Matters

Levi9 helps you prepare your people, data, and systems to fully leverage AI—securely and strategically.

Avoid Pitfalls

Prevent wasted spend and misaligned pilots.

Accelerate Delivery

Enable faster, smoother AI implementation.

Build Internal Confidence

Align leadership and teams on what’s possible.

Future-Proof Capabilities

Lay the groundwork for scale and governance.

The Levi9 Approach – Discovery Grounded in Delivery
We combine structured exploration with real delivery experience—across LLMs, GenAI, MLOps, and integrations. Our Discovery process is not theoretical—it’s how we built solutions like AI Buddy and car price predictors from scratch. This is the same readiness lens we used to scale internal GenAI adoption at Levi9, including our own AI Buddy assistant.

Steps We Take Together

01

Stakeholder Interviews

Understand your vision, appetite, and internal knowledge gaps.

02

Data & Architecture Audit

Review data quality, access, integration maturity, and tooling.

03

Capability Benchmarking

Evaluate your current state vs. industry AI maturity standards.

04

Action Planning

Deliver a tailored 30-60-90 day roadmap across people, process, and platforms.

WHAT YOU GAIN: KEY OUTCOMES & DELIVERABLES 

AI Readiness Report – Scored overview by domain (tech, data, org, process).
Risk & Gap Matrix – Key blockers and enablers visualized clearly.
Maturity Roadmap – Actionable plan for enablement and rollout.
Stakeholder Briefing – Materials to align C-suite and teams.
Levi9 Learnings – Based on real internal AI transformation experience.

June 26th

The Cost of Choice

Most companies spend up to 40% to much on cloud, are you? Cut spend, not options. Smart standardizations win.

Cloud cost overruns and growing technical debt rarely stem from tooling alone—they are symptoms of architectural and operational choices. This session looks at how senior technical leaders can regain control by connecting cloud spend directly to business value. We’ll explore unit‑economics thinking, ownership models, and lifecycle management practices that reduce waste while preserving delivery speed. You’ll learn how to combine FinOps principles with technical‑debt controls to create a cloud environment that is financially sustainable and technically healthy.

May 28th

AI AGENTS DESERVE AI PLATFORM

Portable patterns for Azure, AWS and GCP that survive the next upgrade

AI agents are moving rapidly from experimentation into real production use cases, but architectures vary widely across cloud platforms. In this webinar, we compare practical patterns for building and running AI agents on Azure, AWS, and Google Cloud Platform. We’ll focus on what to standardize, where to embrace cloud‑native capabilities, and how to design for security, observability, and future change. The goal is not to pick a winner, but to help leaders understand how to scale agent‑based solutions without locking themselves into fragile designs.

April 23rd

Winning on Repeat: Product Engineering in the Age of AI

Cadence, quality and outcomes over output

Delivering a successful solution once is no longer enough. In the age of AI, organizations need product engineering models that enable them to win consistently across teams, releases, and markets. This session explores how leading organizations evolve from project‑centric delivery to product‑centric execution, supported by AI‑augmented engineering practices. We’ll look at cadence, quality, and accountability, and how leadership decisions shape sustainable delivery performance over time.

April 2nd

GOVERNING AI IN PRODUCTION

Designing cloud and data platforms that survive real-world pressure

Many organizations succeed in building AI proofs of concept, far fewer succeed in scaling them safely into production. This webinar focuses on what it takes to move from experimentation to reliable, governed AI platforms. We’ll discuss platform architecture choices, model governance, security, and policy patterns that enable teams to deploy AI at scale without slowing down delivery. Designed for senior technical leaders, this session provides practical guidance on turning AI initiatives into durable capabilities that deliver value beyond the first demo

March 5th

Navigating Digital Sovereignty and Strategic Cloud Choices

How Organizations Can Balance Innovation, Compliance, and Control in a Multi-Cloud World

In today’s rapidly evolving digital landscape, organisations face increasing pressure to ensure business continuity, maintain public trust, and comply with complex regulations like NIS2, DORA, and GDPR. This webinar explores the critical concepts of digital and operational sovereignty, the strategic importance of hybrid and sovereign cloud models, and the risks of vendor lock-in.