Proofline Advisory

Know where AI will create value.
Then build it.

Proofline helps CEOs and leadership teams find where AI can change the economics of the business, quantify the upside, and build the systems that deliver it.

No vendor commissions. No generic AI playbook. If AI won't improve the economics, we'll say so. When it will, we design and build it with you.

14 questions. About 6 minutes. You get a scored report across six dimensions, not a brochure. See a sample scorecard.

The Proofline mark A flat baseline, and a line that dips before rising well above it through two marked decision points. BASELINE VALUE

Experience behind the advice

$3B+

Technology & AI transformation engagements led

2B+

Global reach of products and platforms launched and transformed

130+

Products launched

220+

Person teams led

Figures reflect Mitesh's career track record across enterprise transformation, product leadership, and venture work.

From AI questions to measurable outcomes.

We start with the business, establish the economics, and build only what earns its way forward.

What the work looks like

Five engagements across media operations, consumer finance, healthcare workflow, wealth product strategy, and AI commercialization. Different problems, one starting point.

Operate
Organization-wide workflows
Decide
Underwriting and risk
Augment
Human-in-the-loop healthcare
Advise + act
Capital allocation
Commercialize
Capability into a business

Read the case studies

The technology is rarely the hardest part.

AI initiatives usually stall somewhere else: unclear processes, unreliable data, weak ownership, or no baseline against which to prove improvement.

That's why we start with how the business works today: what the work costs, where it breaks, and what your organization can realistically support. Once that's clear, the investment decisions become much easier.

How we work

What usually brings clients to us

“We know AI matters. We don't know where to start.”

You want a plan grounded in your business, not another deck of AI trends.

“This process won't scale without adding people.”

Growth is driving headcount, cost, or complexity faster than it should.

“We've tried AI, but we can't prove the ROI.”

Pilots exist, but they haven't translated into measurable business impact.

Before you build the roadmap, find the constraint.

AI initiatives are only as strong as the business around them. We assess six dimensions - data, process, technology, talent, governance, and leadership - to show where you're ready to move, where you're exposed, and what needs to change first.

Example scorecard - how a readiness profile reads

Data foundation35
Process readiness30
Technology fit55
Talent & adoption40
Governance & risk45
Leadership alignment70

Process readiness is the constraint

A profile like this one describes an organization with real leadership commitment sitting on top of a process nobody has defined well enough to measure. Until that changes, an improvement can be delivered but not proven.

Scored 0–100 on each dimension

The online assessment gives you a directional score across the same six dimensions we use in client engagements. See where you appear ready, where the biggest constraints may be, and what to investigate first.

Then compare your profile with the organizations in our case studies.

Get your AI readiness score

Three ways to work with Proofline

Most clients start with an assessment. Where the economics hold up, that becomes a transformation, and for some, an ongoing advisory relationship after it.

01

AI Opportunity & Readiness Assessment

Identify the highest-value opportunities, quantify the business case, and understand what needs to be true before you invest.

What's included

02

AI Transformation

Turn the highest-priority opportunity into a measurable operating result, from process redesign and technology decisions through implementation.

What's included

03

Ongoing AI Advisory

An ongoing strategic partner for leadership teams navigating new opportunities, vendors, investment decisions, governance, and the next wave of AI initiatives.

What's included

Who you'd be working with

Senior advice from someone who's done the work.

Proofline is led by Mitesh Vashee, an AI, product and business transformation executive with more than two decades of experience building companies, launching products, and leading transformation programs at executive level.

Read his background

20+

Years of experience

3×

Startup founder

3 F100s

AI and technology innovation hubs built

Proofline intellectual property

Download our AI playbook and guide

Leadership teams get stuck in two distinct places, and the two need different tools. We publish the frameworks we use for both.

Playbook · 7 pages

The AI Value Creation Playbook

“We know AI matters. We don't know where to start.”

For teams with no shortlist yet. Four steps that start from the work your business already does: find the recurring workflows worth examining, price one of them properly, decide what AI's role should be, and prove it before you scale. Includes a worked unit-economics example and a printable readiness scorecard.

Find the work · Price the work · Make the decision · Prove it

Read the Playbook (opens in a new tab)

Guide · 8 pages

The AI Opportunity Prioritization Guide

“We have more AI ideas than capacity. Which ones get funded?”

For teams with a shortlist already on the table. How to rank competing initiatives against value and feasibility, the five questions to ask before funding any of them, and when to automate, augment, build, buy, or leave a process alone. Includes an executive readiness test you can run with your leadership team.

Value × feasibility · Five questions · The executive test

Read the Guide (opens in a new tab)

Start with where you stand

Fourteen questions across the six dimensions that decide whether an AI initiative survives contact with an operating business. You'll get a directional score, the constraint most likely to slow you down, and where we'd suggest looking first.

Assess your AI readiness Talk to an advisor

Scored across

  1. Data foundation
  2. Process readiness
  3. Technology fit
  4. Talent & adoption
  5. Governance & risk
  6. Leadership alignment