Across your departments, people are wiring up Copilot, ChatGPT, Claude, and a dozen other tools on their own, no developer required, and no one's tracking the security, the spend, or what's even connected to what. Until you have someone to own that, we will. The same Microsoft partner that's secured businesses like yours for 35 years. We don't just turn Copilot on. We take the whole sprawl off your plate.
Security · Managed IT · Cloud · Data · Digital Workplace · AI · Advisory. Seven practices, one partner, one number to call. See the full portfolio →
Someone up top said "go adopt AI," so every department did, its own way, on its own tools. Now there's no single view of what's running, what it costs, or whether any of it is safe. The technology was never the hard part. The missing piece is an owner. Here's what that gap looks like, and how we close it.
Copilot in one department, ChatGPT in another, a Gemini trial in a third, plus whatever's baked into the SaaS tools you already pay for. Five tools, five directions, none of them talking to each other or to you.
Integrations don't need a developer anymore. A few clicks wires an AI tool straight into your CRM, your files, your email. Powerful, until you realize no one approved it, documented it, or knows what data it can now reach.
The security exposure, the runaway spend, the bad output, it all lands somewhere eventually, but right now it lands nowhere. Until a client, an auditor, or an insurer asks the question first.
AI governance is knowing which AI tools your company is running, what data each one can reach, what they cost, and who answers for it when one of them gets something wrong. You should not have to build a whole AI function to get that.
We start with the security foundation. Then we bring in everything else, the other tools, the no-code integrations, the connections nobody documented, under one operation. We take it on and we keep it secure, instead of five departments each going their own way.
Start where you need the help. Grow into complete AI adoption. We meet you wherever you are.
No AI team, no platform to learn, no open-ended commitment. We find the three or four jobs eating your team's week, build one working agent against the most painful one, and tell you straight what it costs to run.
This is the one you'll feel every month. We monitor every agent, keep your Microsoft spend from drifting, update them as your business changes, and step in the moment one misbehaves. Your fee stays flat. The work gets done.
When your own people start building agents and a board or an auditor starts asking questions, we become the layer that keeps it sane. Who can build, what they can touch, what it all costs, and the proof you'll need when someone asks.
Different work, same problem: lean IT teams, real security exposure, and a week full of repetitive jobs an agent could carry. These are the places we've spent decades, so we start knowing where the work, and the risk, actually lives.
Accounting, consulting, staffing. Intake, proposals, invoice runs, and the security questionnaires your clients keep sending. The repetitive middle of the work, handled.
Mid-market firms living in Microsoft 365, iManage, and a stack of cyber-insurance questions. Document review, conflict checks, and intake, with the guardrails your clients now demand.
Regional banks, credit unions, insurers, RIAs. Conservative, examined, and skeptical of hype, which is exactly why "controlled and documented" lands better here than "cutting-edge."
Multi-plant operations where the same ransomware that hits the office can stop the floor. Agents handle supply-chain status, maintenance tickets, and the quality docs that pile up, while we keep the line, and the network, running.
Private K-12 networks and mid-size higher ed running lean on Microsoft 365. Agents take on enrollment paperwork, helpdesk triage, and records requests, while we wrangle the identity sprawl across students, staff, and every device they bring.
An AI startup can build you a clever agent. It can't see your tenant, hold your compliance posture, or govern the ChatGPT account marketing signed up for last week. We can, because we already run the rest of your estate. That's the whole difference.
Agents are where the conversation starts lately. They work because the foundation underneath them, security, infrastructure, data, the whole Microsoft stack, is one we've been running for decades. Seven practices, one partner.
The practice the rest of the company is built around, and the reason agents are safe to run.
The 24/7 team that runs and watches it all, the day-to-day you'd rather not staff yourself.
The agents above, plus the strategy, automation, and adoption that make them stick.
Where the work lives. Migration, modernization, and the infrastructure underneath.
The thing agents actually need to be useful: data that's ready and apps that are current.
How your people actually work together, voice, Teams, and the rooms they meet in.
Plenty of relationships begin before anything gets built, with a fractional leader on your side or an honest assessment of where you really stand. It's the front door to everything above.
A plain-English, ten-point check you can run yourself before you let an agent near your data. No call required. We'll send it straight to your inbox.
No platform to learn. No AI team to hire. A 30-minute conversation with an engineer who'll look at what's already running across your departments and tell you, straight, where the real risk and the quickest wins are.
