
- Enterprise AI & Cloud Advisory
From AI Investment to Measurable ROI
Clarivus AI Consulting helps enterprises and channel partners translate AI and cloud investments into real business outcomes — tied to cost, performance, and governance.
>90%
of AI pilots never reach production
<12%
of AI projects generate measurable ROI
$4.4T
in projected AI value most can’t capture
24yrs
enterprise technology leadership
Companies don’t fail at AI because the technology doesn’t work. They fail because they skip the foundation — strategy, ownership, governance, and measurement.
What we do
Three Ways We Engage
01 – Diagnostic
AI & Cloud Value Diagnostic™
A structured 4–6 week assessment of your AI, cloud, and infrastructure estate — identifying where real business value lives.
02 – Roadmap
Enterprise Transformation Roadmap™
A board-level transformation roadmap translating advisory insights into prioritized initiatives with financial modeling and execution plans.
03 – Program
Outcome-Based Transformation Program™
Full execution of transformation programs across AI, cloud, and infrastructure — tied directly to cost reduction, performance, and risk outcomes.
MARKET REALITY – The Problem
Why AI ROI
Is Still So Elusive
>90%
of AI workloads, POCs and MVPs
never reach production
<12%
of AI projects have generated
measurable ROI
$4.4T
in projected AI value — most
organizations can’t capture it
Companies are investing heavily in AI — but most aren’t capturing the value. The problem isn’t the technology. It’s the approach.
Root Causes
Six Reasons AI Investments Stall
Issue 01
AI Not Embedded in Workflows
AI tools exist but sit outside daily processes — no adoption, no value.
ISSUE 02
Employees Don’t Know When or How
People and operating models are neglected. GenAI is available but unused.
ISSUE 03
Ownership & Accountability Unclear
No clear business owner for outcomes means no one drives results.
ISSUE 04
Pilots & POCs Aren’t Scaling
Over 90% of AI workloads stall in sandbox. POC hell is real.
ISSUE 05
Wrong Metrics / KPIs
ROI is unmeasured or unclear. No baseline means no proof of value.
ISSUE 06
Use Cases Not Tied to Outcomes
Technology-first thinking disconnected from business impact.
Why Companies Get Stuck
- Chasing use cases before building organizational foundations
- No clear ownership or accountability structure
- Pilots never tied to business outcomes from day one
- Missing governance, risk, and cost controls
How Clarivus Fixes It
- Outcome-first diagnostic before any investment decision
- Define ownership, KPIs, and accountability upfront
- Tie every initiative to measurable business ROI
- Embed governance and FinOps from day one
METHODOLOGY
The Clarivus
AI Framework
Companies struggle to get ROI from AI for predictable, people- and process-related reasons — which means the problem is solvable. Our framework addresses every layer.
CHANGE MANAGEMENT → Communicate → Communicate → Communicate
01
Value Stream Analysis
Lean-thinking principles to analyze value streams and identify optimization opportunities across your organization.
02
ROI Blueprint
Define value, KPIs, and ownership — then track against enterprise strategy using OKRs and business objectives.
03
People & Process Enablement
Redesign workflows and roles, train everyone on AI-embedded operating models and ways of working.
04
AI Governance
Establish data, risk, and run-state controls. Governance built in from the start — not bolted on after the fact.
05
Measurable Outcomes
Achieve repeatable, measurable results tied directly to business value — cost, performance, and risk.
WHAT CLIENTS ACTUALLY NEED
Seven Foundational Requirements for AI Success
01
Outcome-based use case prioritization
02
Workflow redesign with AI embedded
03
Clear operating models and value ownership
04
Frequent feedback loops and iteration
05
Strong governance and cost controls
06
Workforce training and change management
07
Baseline and regular measurement of value
