Same broken data. Different industries. One framework that works.
Construction, legal, financial services, distribution, professional services, one operator with AI systems diagnosing and building across all five.
Every industry starts with the same problem: scattered data creates inefficiency, inefficiency becomes margin loss. The solution always begins with consolidating your data layer, not buying tools. Construction, legal, financial services, distribution, professional services, different entry points, same framework.
The Problem
Your teams work in the field. Your data lives in Excel. When a project runs over, you find out in the reconciliation, not in real time. You're running 7 projects simultaneously, you should know every one's cost and schedule status without calling your project manager at 6pm.
What I've Built
An AI cost tracking system, document search, cost tracking, certification automation, worker management, live executive dashboard. One company went from a 15-tab Excel spreadsheet to real-time visibility in 6 weeks.
See construction case studies →The Problem
Your institutional knowledge is fragmented. 90% of your data is in Outlook. Quarterly reports take 15 days because consolidation is manual. You can't answer a question about fund performance or client portfolio positioning without asking three people. Your competitive advantage, deep knowledge of your market, is locked in your people, not your systems.
What I've Built
Automated quarterly report generation, investment presentation system, accounting consolidation and audit assistance. Data goes from scattered across NetSuite, Excel, and SharePoint to searchable, real-time, and audit-ready.
See financial services case studies →The Problem
Your founding attorney answers WhatsApp at 11pm because client questions bypass the intake process. Your team spends 8 hours per week on follow-ups, scheduling, and proposal generation. You have $1M in ad spend and zero conversions because leads fall through cracks. Your case files are in three places. Your playbook isn't written down, it lives in senior associates' heads.
What I've Built
WhatsApp AI agents that qualify leads and book meetings. CRM systems that track every pipeline stage. Document automation that turns 3 hours of manual work into 15 minutes. Playbook codification that scales your firm without hiring.
See legal services case studies →The Problem
You deliver expertise but your operations are manual. Grant writing takes 6-8 hours. Reporting is still a spreadsheet exercise. Client proposals are beautiful but they take too long to customize. You can't grow without hiring more people at the same margin. Your team is skilled but overwhelmed.
What I've Built
Grant blueprint automation. 6 hours to 1-2 hours. Reporting systems that pull data from multiple sources into one dashboard. Proposal templates that scale. AI tools that let your team focus on what only they can do, thinking strategically, managing relationships, delivering the work.
See professional services case studies →The Problem
Your ERP holds decades of transactional data. Your team accesses it through Excel pivot tables that take hours to filter. Leadership asks "how are we doing in Market X?" and gets three different answers because everyone's filter selections are different. You already tried a dashboard vendor, spent 3-4 months, the numbers didn't match what you trusted, and nobody uses it. Your sales data exists. You just can't see it fast enough to make decisions.
What I've Built
Sales performance dashboard connected to the on-prem ERP via read-only SQL/ODBC. Real-time views by country, customer, SKU, product line, and salesperson, in dollars and cases. Report generation from hours to seconds. 10 business days from kickoff to a live dashboard the entire team uses.
See distribution case studies →Across every industry I work in, the buyer process is identical.
You start with data chaos, information scattered across email, spreadsheets, legacy systems, and personal tools. This creates inefficiency, people asking "where is that file?" instead of working. Inefficiency becomes margin loss and opportunity loss. The spreadsheet you're running your operation from is growing faster than your team can manage it.
At some point you realize: we should fix this. And immediately: where do we even start?
That's the door. Every industry walks through it.
The solution, though, looks different. A construction company needs real-time cost visibility across active projects. A law firm needs to scale client intake without hiring intake staff. A family office needs their knowledge consolidated so one person can answer questions that currently require three. A nonprofit needs their grant workflow accelerated so they can scale impact. A distributor needs their ERP data accessible in seconds instead of hours of pivot table filtering.
The infrastructure that solves each problem is the same, data consolidated, automated, governed, and made visible. The specific tools, the specific workflows, the specific business impact, those are custom. That's why I build, not from a menu of services, but from a diagnosis of your operation.
Industries. Frequently Asked Questions
These six industries are where I've delivered the most engagements, construction, legal, financial services, distribution, professional services, and nonprofits. The pattern (scattered data, manual processes, no visibility) is the same regardless of vertical, so the AI Operating System framework applies to manufacturing, healthcare administration, and most other mid-market operations. The diagnostic tells us in 2-4 weeks whether the framework fits your situation.
The diagnostic. Every industry has different data sources, different compliance requirements, and different operational pain points. A construction company needs cost-tracking dashboards and certification automation. A law firm needs intake automation and document search. A wealth advisory firm needs proposal automation and AI visibility. The diagnostic maps your specific situation before any recommendation.
Mid-market: 20-200 employees, $5M-$100M revenue. Companies large enough to have real data and process complexity, small enough to need someone hands-on instead of a Big 4 strategy team. I have worked with companies as small as 5 employees and as large as 650.
Talk to me anyway. The framework applies to most operations with scattered data and manual processes. If your industry has unusual compliance requirements or unique operational constraints, I'll be honest about whether I'm the right fit during the discovery call. I would rather decline a misfit than take an engagement I can't deliver on.
The opposite, regulated industries (financial services, legal, healthcare) often adopt faster because their compliance requirements force the structured data, documented processes, and governance frameworks that AI needs. Unregulated industries spend months building that structure from scratch. See the blog post 'Why Regulated Industries Are Adopting AI Faster Than You Think' for the full pattern.
Yes. The approach is to build on top of what you have, not replace it. NetSuite, QuickBooks, Sage, custom databases, Salesforce, Outlook, the diagnostic identifies what to consolidate, what to connect, and what to leave alone. Most engagements integrate with 3-7 existing systems.
Not sure where your company stands?
The free assessment takes the questions real CEOs and COOs asked me in discovery calls and turns them into a diagnostic you can do right now. You'll see which layers of your AI infrastructure exist, which are missing, and where to start. No sales pitch, just a clear picture of your current state.