For Operations & CX Leaders

Before you greenlight your next analytics or AI initiative — pressure test it first.

Operations and strategy leaders are under pressure to greenlight analytics and AI initiatives — often before the problem, scope, and success criteria are fully defined. The result is stalled pilots, costly rework, and low adoption.

Analytics & AI Initiative Readiness Gate
An independent assessment of your analytics or AI initiative before you commit resources to build — avoiding costly rework and stalled pilots.
Schedule a 20-Minute Discovery Call → Not sure where your initiative stands? We'll figure out the right next step together on the call.
Sound familiar?
  • You're being asked to greenlight an analytics or AI initiative — but something feels undercooked
  • You've been through a build that stalled, got reworked, or never got adopted by the frontline
  • Your team is excited, but no one can clearly define success or who's accountable
  • You don't want to bring in Big 4, but you need an expert outside view before you commit
"The problem is almost never the data. It's that no one scoped it right before the build started."
How It Works

Rigorous. Fast. Minimal lift from you.

The review takes 72 hours to one week, requires minimal time from you, and ends with a clear Go / Revise / Park recommendation. The methodology draws on 15+ years of designing and operationalizing analytics initiatives inside large organizations.

01
Intake & Alignment
We align on the initiative scope, your constraints, and what a good decision looks like for you.
02
Structured Review
I apply a multi-dimension readiness framework to surface gaps, risks, and unvalidated assumptions.
03
Deliverable
You receive a written Go / Revise / Park recommendation with documented rationale.
04
Walkthrough
We review findings together so you can question and pressure-test the recommendation.
About

I'm Dr. Christy Aroopala, founder of CA Strategy & Analytics Advisory. For 15+ years, I've been on the inside of large organizations — leading analytics teams, building predictive models, and doing the work of getting analytics initiatives designed, piloted, and actually adopted by frontline teams.

My work spans insurance (life and retirement services), enterprise technology, digital marketing analytics, and management consulting — including senior analytics roles at AIG and VMware, with particular depth in regulated, customer-facing operations environments. I've led analytics where a failed initiative isn't just a waste of budget — it's a compliance risk and a credibility hit.

I've also been the person who had to tell a C-suite that an initiative wasn't ready. That experience — knowing what good scoping looks like, and what bad scoping costs — is exactly what the Readiness Gate is built on.

The methodology I use comes from years of applying social science research rigor to business analytics: define the problem precisely, test your assumptions, map your data, design for adoption, and know before you build whether the initiative is worth it.

I hold a Ph.D. and MBA from Rice University, where I have taught social science and statistics courses, and completed a postdoctoral research fellowship at Yale University, where I taught and conducted research.

Dr. Christy Aroopala
What a poorly scoped initiative costs you
Wasted build effort
Months of engineering and analyst time on a solution that doesn't match the actual business need.
Stalled pilots
Frontline teams don't adopt tools they weren't involved in designing — no matter how good the model is.
Costly rework
Redefining scope mid-build multiplies cost and damages cross-functional trust.
Credibility loss
Failed or stalled initiatives make it harder to resource the next one — even when it's the right idea.
Past Work

What this methodology delivers.

Selected examples from 15+ years of analytics initiative design and deployment. Clients anonymized per industry standard.

Major Insurance Carrier · Customer Operations
Customer Complaint Prediction Model & Dashboard
Contact center had no early-warning system to identify at-risk customers before complaints escalated — and no plan to get a solution adopted by frontline teams. Led executive scoping, developed predictive model, designed and ran 3-month pilot with treatment and control groups.
Impact Complaint volume dropped to the lowest rate in company history during the pilot. First fully deployed predictive model at the organization. Prevented ~$850K in projected revenue loss.
Major Insurance Carrier · Retirement Services
Retirement Plan Design Predictive Dashboard
Agents needed to show clients how product feature choices would impact participation rates — in live client meetings. Led full initiative scoping with executive stakeholders, developed predictive model and interactive scenario-testing tool for field use.
Impact Voted Best Innovative Transformation Initiative in a company-wide executive competition. Selected for enterprise-wide expansion.
Data Science Team Leadership · Analytics Strategy
Analytics Team Scoping Methodology & Roadmap
Growing data science team lacked a structured approach to scoping and executing strategic analytics projects, resulting in misaligned priorities and inconsistent delivery. Built scoping methodology and templates; created prioritized roadmap; guided execution and stakeholder management.
Impact Launched Customer Lifetime Value analytics product generating $2.6M in projected revenue. KPI performance improved 52% across strategic initiatives.
Get Started

Is your initiative ready to greenlight? Let's find out.

Schedule a 20-minute discovery call. We'll discuss your initiative, assess fit for the Readiness Gate, and you'll leave with a clearer picture — regardless of next steps.

Schedule a 20-Minute Discovery Call →

Opens scheduling page in a new tab