Technology that works the way people do.

A regional hazardous waste handler. $30M in revenue and growing. Regulatory compliance requirements including 10-day inventory limits. Multiple locations, a fleet of trucks, hundreds of clients.

Their technology landscape: Workorder system (detached). Manifest and hazardous waste profile system (detached). Driver tracking and dispatch system (barely used, detached). Accounting system (detached). Client document portal (detached).

What connected everything? Spreadsheets.

A spreadsheet for workorder tracking. Another for scheduling. One for compliance. One for fleet maintenance. Mechanics had built their own massive spreadsheet to track regulated requirements.

They had spreadsheets tracking spreadsheets.

Every piece of information got entered multiple times. Creating a workorder meant updating three systems and two spreadsheets. Paper forms got filled out in the field, driven back to the facility, scanned, and filed.

Leadership couldn't get accurate inventory status without someone spending half a day assembling numbers. Flying completely blind—and so accustomed to it they didn't know another way existed.

Fifteen people. A founder who'd built everything from scratch. No malicious systems—just years of good intentions and tribal knowledge.

Everything important lived in someone's head. The CRM had customer names but not the real relationship history. The project tracking tool showed tasks but not the context that made them make sense. When someone needed to know something, they walked over and asked.

It worked. Until it didn't.

Two key people went on vacation the same week. Suddenly, gaps appeared everywhere. Who was supposed to follow up with that client? What was the status of that order? Where did we put that vendor agreement?

The problem wasn't scale. The problem was that nothing had ever been externalized in a way everyone could access.

Philosophy: Information should move once and appear everywhere it's needed. Duplicate entry is a symptom of disconnection, not a workflow requirement.

Approach

Data Consolidation — We establish a central pool—typically Microsoft Dataverse, though the platform depends on what you already have. This becomes your single source of truth.

API Integration — Modern line-of-business applications expose APIs. We connect them. Your workorder system, your accounting platform, your fleet management, your CRM—data flows automatically rather than being manually transcribed.

Event-Driven Synchronization — Changes propagate in real-time or near-real-time. When a workorder closes in one system, downstream systems know. When a payment posts, related records update.

Automated Data Capture — Paper forms become digital forms. Field data enters the system at the source. Manual transcription steps disappear.

This is what stops duplicate entry permanently. This is how your team knows the data is trustworthy.

That same hazardous waste company?

What changed

First, we stopped the bleeding. Eliminated duplicate entry points. Retired spreadsheets that existed only because systems didn't talk to each other. No new technology—just removing friction.

Then, we connected the systems. API keys from every application that allowed them. All data flowing into Microsoft Dataverse as a unified pool. Forms replacing paper, capturing data once at the source.

Then, visibility emerged:

• Real-time 10-day inventory compliance tracking
• Manifest location traceable to the minute
• Fleet maintenance forecasting with upcoming service visibility
• Client communication with accurate ETAs
• Leadership dashboards showing actual operational state

The technology didn't change much. The coherence changed everything.

A facilities maintenance company. Thirty employees, a handful of buildings under contract, nothing particularly complex.

Except for scheduling.

Crews were double-booked constantly. Equipment sat idle while people waited for someone to confirm who needed what. Nobody knew who was where until they called to ask.

The owner knew the business inside and out—but he couldn't be everywhere, and the information in his head didn't scale.

What changed

One form. One shared calendar. One notification flow.

When a job came in, the form captured what was needed. The calendar showed who was available. The notification told the right crew lead. When they arrived on site, they checked in. When they finished, they checked out.

Took two weeks to build.

Changed how the whole operation felt. The owner stopped being the switchboard. Crews stopped waiting. Equipment got used.

Sometimes the transformation is quiet. That doesn't make it small.

A stormwater inspection application for field crews. An AI-powered swing analysis tool for batting cages. Complex integrations between fleet management, payroll, and operations systems.

The problems don't come pre-categorized, and neither do we.

Philosophy: AI should amplify human capability, not replace human judgment. We implement AI where the basics are stable and the benefit is clear.

What we build

Semantic Search & Retrieval — Finding information by meaning, not just keywords. Document libraries that understand context. Knowledge bases that surface relevant information even when the question isn't perfectly phrased.

Pattern Detection — Surfacing trends and anomalies that humans would miss in volume. Operational patterns, compliance risks, maintenance predictions.

Intelligent Automation — Workflows that adapt based on content and context. Document routing that understands what it's looking at. Approval chains that escalate appropriately.

Conversational Interfaces — AI assistants that understand your business context. Not generic chatbots—systems trained on your domain, your terminology, your processes.

This is what makes finding information instant instead of archaeological. This is how your systems learn context without losing privacy.

What we don't do: AI for its own sake. If a simple rule-based automation solves the problem, that's the right answer.

A manufacturing company with good systems. ERP in place. Dashboards built. Reports available.

But leadership meetings were still arguments about whose numbers were right.

The CFO had one version of inventory. Operations had another. Sales had a third. Everyone was pulling from the same system—but at different times, with different filters, looking at different slices.

The technology wasn't the problem. The problem was that the same data told different stories depending on who was reading it and when.

What changed

We didn't replace anything. We created a single view that everyone saw at the same time. One dashboard. Updated continuously. No more "let me pull my numbers."

The first meeting where everyone looked at the same screen was uncomfortable. Discrepancies that had been hidden by timing differences became visible.

But then the arguments stopped. Not because people agreed on everything—but because they were finally arguing about the same reality.

Sometimes the fix isn't technical at all. Sometimes it's just making the data visible in a way that changes the conversation.

30+ years of technology consulting across industries and scales.

Microsoft 365 & Power Platform depth — SharePoint, Teams, Power Apps, Power Automate, Dataverse. Not surface-level familiarity; architectural understanding.

Custom application development — When the platform doesn't fit, we build what does. Web applications, mobile tools, specialized interfaces.

API integration — Connecting systems that weren't designed to talk to each other. REST, webhooks, custom middleware where necessary.

Data architecture — Designing how information flows, where it lives, how it stays accurate. Schemas that scale without becoming brittle.

Security and compliance — Not an afterthought. Audit logging, access control, data retention, privacy patterns built in from the start.

This is the range that lets us see problems others miss—and solve them without creating new ones.