Custom software
Partner Operations Platform
Built and deployed a custom platform connecting external partners with internal operations, replacing fragmented workflows and manual coordination.
400+ jobs managed
Custom Software & AI Automation. Built for Your Business.
Replace unnecessary SaaS, automate manual work, and build purpose-built software with modern AI tools. From identifying the opportunity to deploying the solution.
- ex-McKinsey
- ex-Turo
- $3M+ operational savings
- Production AI systems
Software I've Built. Results It's Delivered.
I've spent the last decade improving business operations, not just recommending changes but building the software and automation to make them happen.
AI automation
AI-Powered Accounts Payable
AI system that processes invoices, applies business rules, and automates repetitive finance workflows.
$150K estimated annual savings
AI agents
Autonomous Labor Coding
Self-learning AI system that automates labor coding without routine human intervention, with a weekly feedback loop against actuals.
20% faster coding and payouts
Selected projects led by Pala's founder in previous operating roles. See more of the work →
You Probably Don't Need Another SaaS Subscription.
Many businesses have accumulated expensive software, disconnected tools, and manual processes. Modern AI development makes it possible to replace much of that complexity with software built around how your business works.
Replace Bloated Software
Narrow SaaS subscriptions down to focused internal apps: CRMs, tracking systems, and approval tools designed around the workflow you actually run.
Automate Manual Work
Put AI agents on repetitive operational tasks: document processing, finance automation, and the handoffs that currently live in inboxes.
Build What's Missing
Custom workflows, partner portals, dashboards, and integrations when the catalog tool does not match how the business operates.
This is not a pitch to rebuild every system. The fit is bounded applications with a straightforward data model, limited integrations, and maintenance you can actually own.
How We Work
A path from a messy workflow to software that is in production, not a slide about what could be automated.
1
Scope the workflow
Map the process, the data, and the systems around it. Decide whether a custom app, an agent, or leaving the current stack is the right cut.
2
Design the smallest version
Data model, rules, and exception path first. Integrations only where they earn their keep.
3
Build against real work
Ship into the actual workflow: real documents, real exceptions, and the people who will use it.
4
Deploy and stay with it
Put it in production, watch the failure cases, and keep the system running. A tool with no owner is just another subscription.
About the founder
Khalid Alali
Former McKinsey consultant and former Senior Business Operations Manager at Turo. I now build custom software and AI automation for the operational work I used to run: support, payments, finance, and partner operations.
At RepairWise / Fixlane I have built about 30 internal tools in the last year, mostly operations software: claims, parts and RMA tracking, labor coding, and partner and shop management. The value is not generic app-building. It is knowing the workflow well enough to replace a bloated subscription with a smaller system that actually gets used.
Background
- MBA, UC Berkeley Haas
- Redesigned payout operations processing $120M+ a year
- Migrated about 2,000 agents onto a new support platform
- Production AI systems for accounts payable, labor coding, and document workflows
Start a project
Discuss a Project
Tell me about the workflow, the software you are paying for, or the manual work you want off the team's plate. I will tell you whether a custom build, an AI agent, or leaving the current stack is the better path.
Most work starts by scoping a specific build. If the systems or the process are still unclear, a short paid discovery is available. It is not the default.
Email [email protected] if you would rather skip the form.
Thanks. I got it.
I’ll review the project and follow up soon.