What I Do

Four Practices. All Proven in Production.

Every capability on this page is running live inside a real company today. The status panels show verified results from the flagship engagement, not projections.

01: Finance & Data Operations

Financial Systems That Reconcile to the Penny

Most mid-market finance teams run on Excel heroics: a workbook someone closes every Friday, a month-end that takes days, and numbers leadership quietly distrusts. I replace that with live systems.

Bank feeds over secured treasury APIs, the ERP general ledger, payroll, and payments, unified into a financial operating platform and a proper data warehouse. The close gets automated. The numbers get trusted, because they get verified every day.

Live bank integration (mTLS treasury APIs, webhooks, historical backfill)
Cash forecasting, check-run automation, month-end accrual engines
Data warehouse build (Microsoft Fabric): medallion architecture, nightly pipelines
Payroll and payment-gateway reconciliation
Disbursement and AP audits against bank and ledger records
02: Custom Applications

The Tools Your Team Actually Needs, Built to Fit

Off-the-shelf software forces your process into its shape. I build the opposite: focused web applications shaped around the work your team already does, connected live to your systems of record.

Operations dashboards, sales portals, collections tools, leadership cockpits. Single sign-on, role-based access, hosted lean on your own cloud. And when your team has built scrappy prototypes that work, I industrialize them instead of throwing them away.

Full-stack web applications (Next.js on Azure) with enterprise SSO
Live ERP integration, read-only gateways, per-consumer rate limits
Prototype-to-production hardening of internally built tools
Consolidated hosting: a whole fleet for less than one legacy server
In-app feedback intake with AI triage and release management
03: AI & Automation

AI Where It Pays, Not Where It's Fashionable

Most companies' AI story is a chatbot nobody uses. The difference is grounding: AI connected to your actual ERP, documents, and CRM through purpose-built connectors, with guardrails that keep sensitive data walled off.

I also use AI as labor, not just as a feature: autonomous agents that build and fix software overnight, pipelines that watch themselves, and training content produced entirely by AI. My own invoicing runs this way.

Company-wide AI assistants grounded on your real data
Custom AI-to-ERP connectors (MCP), read-only and policy-guarded
Workflow automation: email pipelines, scheduled exports, alerting
AI-produced training videos and onboarding content
Self-healing feedback loops: user reports become reviewable fixes
04: Fractional CTO

An Owner's-Side Operator Inside Your Business

Mid-market companies carry enterprise-grade technology risk without enterprise-grade oversight: over-permissioned vendors, unmanaged cloud spend, insurance warranties nobody checked, and contracts that renew themselves.

I sit on your side of the table. I audit the estate, quantify the risks in dollars, negotiate the vendor stack down, and leave you with governance that keeps working after the audit ends.

Security, identity, and access audits with dollar-quantified findings
Cyber insurance readiness: bind coverage, close warranty gaps
Vendor and MSP cost takeout, contract and deliverable validation
Cloud cost governance: budgets, right-sizing, decommissioning
Technology strategy tied to business value and exit readiness
Where to Start

Not Sure Which Practice You Need?

Most engagements start with a diagnostic across all four. Tell me what hurts, and I'll tell you what I see and whether I'm the right fit. If I'm not, I'll say so.