Results you can measure.

Order entry, purchasing, and warehouse operations ran on a WinForms application installed on 60 office PCs - no remote access, no mobile, and the original developer long gone. Field sales phoned orders in to be re-keyed at headquarters.

A phased conversion to a modern web platform preserving the workflows the team knew: same order-entry flow, same vocabulary, now in the browser - with role-based security, audit trails, and a mobile view for field sales. Old and new ran in parallel until every workflow proved out.

A legacy AS/400 ERP was blocking growth: manual order entry, no real-time inventory, and a shrinking pool of engineers who could maintain it.

Phased migration to a cloud-native platform on Azure - microservices, event-driven integration with the shop floor, and AI demand forecasting - with zero production downtime.

Adjusters spent 40% of their time re-keying data from faxed and scanned claim documents, creating a two-week intake backlog.

A locally-deployed LLM pipeline extracting structured data from any document format, integrated with the existing claims platform - sensitive data never leaves their network.

Three data centers nearing end-of-life, 40+ applications with no unified identity, and an insurance mandate for Zero Trust controls.

Azure landing zone with Zero Trust identity, Infrastructure as Code via Terraform, and a 14-month wave-based migration prioritized by business risk.

Dozens of staff manually sorted and re-keyed faxed referrals into the EHR, delaying patient scheduling by nearly a week and burning clinical admin budget.

A HIPAA-compliant, locally-deployed AI document pipeline that classifies referrals, extracts structured data, and writes directly to the EHR - with human review only for low-confidence cases.

Dispatch ran on nightly batch jobs with no real-time fleet visibility. A single system failure could idle hundreds of trucks - and did, twice a year on average.

A strangler-fig migration to event-driven services: live GPS ingestion, real-time load matching, and failure isolation so no single component can halt the fleet.

Perimeter-era security across 20+ internal applications, rising card fraud losses, and a cyber-insurance renewal that demanded MFA and Zero Trust controls.

Unified identity with MFA everywhere, least-privilege service boundaries, and an ML fraud-scoring model trained on the bank's own transaction history - flagging anomalies in real time.

Paper maintenance logs and spreadsheet part tracking meant compliance audits took weeks, and aircraft sat grounded waiting on records instead of repairs.

A mobile-first maintenance platform with digital signoffs, full audit trails, part lifecycle tracking, and FAA-compliant recordkeeping - built to work offline on the hangar floor.

Superintendents ran jobs from text messages and photos; change orders took two weeks to approve and billing disputes ate margin on nearly every project.

A custom field-to-office platform: daily logs, photo documentation, digital change-order approval, and live job-cost dashboards tied into the existing accounting system.

Permit applications arrived on paper, routed through five departments by interoffice mail, with no way for residents to check status except calling - 40,000 calls a year.

An accessible online permitting portal with parallel departmental review, automated completeness checks, public status tracking, and dashboards for county leadership.

Associates spent hundreds of billable hours per matter on first-pass document review, and client confidentiality rules ruled out cloud AI services entirely.

A locally-deployed LLM review pipeline inside the firm's network: clause extraction, privilege flagging, and issue tagging with every AI suggestion routed through attorney review.

Store systems synced overnight, so online orders sold inventory that didn't exist - cancellations, markdowns, and stores hoarding safety stock to compensate.

Event-driven inventory across stores, warehouse, and e-commerce with ML demand forecasting per location - built alongside the legacy POS, then cut over store by store.

Pump and compressor failures in the field meant emergency crew callouts, blown job schedules, and seven-figure annual downtime costs - all maintenance was run-to-failure.

Sensor telemetry streamed to ML models trained on the company's own failure history, with maintenance work orders generated automatically when failure risk crosses threshold.

Students juggled 12 logins for registration, aid, housing, and billing; staff re-keyed the same data between systems and enrollment reporting took a month to assemble.

A unified student portal with single sign-on, API integration across all 12 legacy systems, and a reporting warehouse giving administrators live enrollment and aid dashboards.

Critical dates, escalations, and options lived inside 3,000 PDF leases. Missed renewal windows and unbilled escalations were costing real money every quarter.

An AI abstraction pipeline extracting terms, dates, and clauses from every lease into a structured database - with automated alerts ahead of every critical date.

Booking, front desk, and housekeeping ran on three disconnected systems - guests waited at check-in while staff phoned housekeeping to confirm rooms were actually ready.

One event-driven operations platform: live room status from housekeeping mobile apps, automated check-in flows, and occupancy forecasting feeding staffing decisions.

Manual spot-checking caught defects only after full production runs - scrap costs, customer returns, and one recall that consumed an entire quarter's margin.

Camera stations with computer-vision models trained on the plant's own defect library, inspecting 100% of parts in-line and flagging drift before it becomes scrap.

Donor history lived in one system, grants in spreadsheets, and impact data in email attachments - grant reports took weeks and lapsed donors went unnoticed.

A unified platform tying donors, grants, and program outcomes together - automated grant reporting, renewal alerts, and giving-pattern dashboards for development staff.