Former McKinsey Consultant • Former Senior Strategy & Operations Manager at Turo

Reduce Operating Costs with AI, Automation, and Custom Software

I help operations leaders reduce costs, eliminate manual work, and increase capacity using AI, automation, and custom software.

11+ years leading operational transformation initiatives across McKinsey, Turo, and high-growth startups.

Experience includes

McKinsey Turo RepairWise
12M Customer cases migrated
$3M+ Operational savings
$150K Annual AP savings

Why Work With Me

Most consultants can identify opportunities. Most agencies can build software. Few can do both.

I combine:

  • Operational transformation experience from McKinsey and Turo
  • Product and systems thinking
  • Hands-on AI, automation, and software implementation
  • Executive-level understanding of ROI and change management

The result is fewer recommendations that sit in PowerPoint and more operational improvements that actually get deployed.

The workflows costing you the most are the ones that feel normal.

Not every inefficiency looks like a problem. Some look like a full-time hire you made two years ago, or a Slack message that kicks off a 12-step manual process nobody has documented.

Hiring AP clerks to process invoices that follow the exact same pattern every time

Support reps answering the same 10 questions on repeat — phone, email, and ticket

Finance teams pulling reports by hand from four different systems every month-end

Operations leaders with no real-time visibility until someone builds a spreadsheet

A SaaS stack that costs more than a junior hire and still requires manual handoffs

Leadership unsure where to start — or whether automation is actually worth the disruption

How I help

Operational transformation backed by the technology to make it real.

01

Operational Transformation

Process redesign, workflow optimization, operating model improvements, and operational efficiency initiatives.

Examples

  • Process mapping
  • Workflow redesign
  • Cost reduction initiatives
  • Operating model improvements
  • Service operations optimization
02

AI & Automation

Use AI and automation to eliminate repetitive work, reduce labor costs, and increase operational capacity.

Examples

  • Document processing
  • AP automation
  • Customer support automation
  • Workflow automation
  • Agentic workflows
  • Knowledge systems
03

Internal Software & Systems

Build custom tools when existing software cannot solve the problem effectively.

Examples

  • Internal CRM systems
  • Operations dashboards
  • Partner portals
  • Workflow orchestration platforms
  • Reporting systems
  • System integrations

What I Build

Examples of systems I've designed, built, or deployed.

AI-Powered Workflows

Document processing, approvals, routing, and decision support.

Internal CRM Platforms

Custom systems that unify fragmented workflows and reduce operational overhead.

Customer Support Automation

Reduce inbound volume and improve resolution speed.

Operations Dashboards

Real-time operational visibility without manual reporting.

Partner & Vendor Portals

Centralized workflows for external stakeholders.

System Integrations

Connect disconnected tools and eliminate manual handoffs.

Workflow Orchestration

Coordinate work across multiple systems automatically.

Reporting Platforms

Automated reporting and operational intelligence.

The math is usually obvious — once someone does it.

Most companies don't lack the data. They just haven't sat down to calculate what repetitive labor actually costs versus what it would cost to automate it.

That's part of what the assessment does. We work through your specific workflows, assign real labor costs, and build a savings estimate you can defend to a CFO.

Request an Operations Efficiency Assessment →

Example ROI calculation

AP team annual cost $400,000
Estimated effort reduction 25%
Annual savings opportunity $100,000

Same logic applies to support, dispatch, billing, intake, and vendor management.

Case Studies

Operational systems that ran in production — with measurable outcomes.

Typical Outcomes

The goal is not automation for its own sake. The goal is measurable business impact.

Lower Labor Costs

$150K annual savings

Reduced Support Volume

30% fewer customer contacts

Lower Software Spend

$20K less licensing cost

Faster Cycle Times

99% faster payout processing

Improved Scalability

12M cases migrated cleanly

What Happens During the Assessment?

Week 1

Discovery

  • Stakeholder interviews
  • Workflow review
  • Process mapping
  • Current-state analysis

Week 2

Opportunity Analysis

  • Labor cost analysis
  • Automation opportunity identification
  • ROI modeling
  • Prioritization

Deliverables

  • Opportunity map
  • ROI estimates
  • Prioritized implementation roadmap
  • Recommended architecture
  • Build-vs-buy recommendations
  • Tooling recommendations
  • Integration requirements

Start here

Operations Efficiency Assessment

The assessment identifies where automation can create measurable savings — before you commit to a full implementation. You'll leave with a clear picture of which workflows to automate first and why.

  • Workflow review across finance, support, and operations
  • Opportunity map with ROI estimates
  • Prioritized implementation roadmap
  • Recommended architecture
  • Build-vs-buy and tooling recommendations
  • Integration requirements

Fixed-Fee Assessment

Includes:

  • Opportunity map
  • ROI estimates
  • Prioritized roadmap
  • Recommended architecture
  • Build-vs-buy recommendations
  • Tooling & integration requirements

Contact for pricing.

Fee credited toward implementation if we move forward.

Request an Operations Efficiency Assessment

I'll respond within one business day.

Khalid Alali — former McKinsey consultant and operations leader

About

Khalid Alali

I'm Khalid Alali, a former McKinsey consultant and operations leader with 11+ years of experience building technology-enabled operating systems across marketplaces, customer operations, finance, and internal tooling.

I've led enterprise platform migrations, workflow redesigns, support transformations, and automation initiatives that generated measurable operational savings.

Unlike traditional consultants, I don't stop at recommendations. I've built internal platforms, workflow automation systems, AI-powered tools, operational dashboards, CRM systems, integrations, and partner portals used in production environments.

My focus is not technology for its own sake. It's using technology to create measurable operational improvements.

Former McKinsey Consultant Former Senior Strategy & Operations Manager, Turo MBA, UC Berkeley Haas 11+ Years in Operations, Product, and Transformation

Additional Highlights

  • Consolidated onboarding systems into a unified CRM platform, reducing software licensing costs by approximately $20K annually.
  • Identified more than $200K in excess inventory through inventory management redesign.
  • Built a partner operations platform supporting 400+ active repair jobs.
  • Launched a global payments platform supporting more than $120M annually in payment volume.

Common questions

Why not just use ChatGPT ourselves?

The prompt is the easy part. The hard part is redesigning the workflow, connecting your systems, handling the exceptions, creating auditability, managing adoption, and measuring what changed. That's where most internal attempts stall.

Do we need to replace our existing software?

Almost never. The opportunity is usually in connecting what you already have — automating the handoffs, eliminating manual steps, and making the data flow where it needs to go without a person in the middle.

What systems do you work with?

QuickBooks Enterprise, NetSuite, Sage, HubSpot, Salesforce, Airtable, Google Workspace, Slack, and most common ticketing, CRM, and ERP systems. If you have an API or a webhook, there's usually a path.

Is this strategy or implementation?

Both, but the value is in implementation. The assessment surfaces the opportunity. The engagement builds and deploys it. Strategy without a working system is just a deck.

How quickly can we see results?

Simple workflow automation can show measurable impact in weeks. More complex systems with multiple integrations or approval workflows take longer — typically two to four months to full deployment.

Find the workflows worth automating first.

Most companies are looking in the wrong places. The highest ROI is usually in the workflows that feel normal — because they've been done manually for so long, no one questions them.

Request an Operations Efficiency Assessment