Pricing, timelines, guarantees, data handling, and how operator-led AI ops differs from a traditional consultant. If your question isn't here, book a 20-minute call.
An Ops Diagnostic runs $5,000 to $10,000 and takes 1 to 2 weeks. You get up to two days of embedded observation, stakeholder interviews, a tools audit, a written diagnostic with your top five operational leaks ranked by ROI, recommended fixes with estimated implementation cost, and a 60-minute debrief. That's it — no slides, no filler.
Because hiding it wastes everyone's time. If $5,000 to $10,000 for a Diagnostic is out of reach or not worth it to you, better we both know on the first page than on the third call. Owners running a $2M to $15M business should not have to chase a proposal to learn the number.
The 20-minute discovery call is free — that's where we figure out if you need a Quick Dive, a Diagnostic, or nothing at all. Beyond that, no. If you want two hours of focused operator time on a specific issue, that's the $1,000 Quick Dive, and the full $1,000 credits toward a Diagnostic or Build if you move forward.
On the Ops Diagnostic, if we dig in and find nothing worth fixing, we refund half. No upsell pressure, no inventing fake findings to justify the invoice. Most Diagnostics surface more than enough — but the promise keeps us honest and keeps you covered.
We tell you. If a Quick Dive turns out to be bigger than two hours can handle, we credit the full $1,000 toward a larger engagement. If a Build is outside what we should be touching, we say so and point you to someone better. Walking away from bad-fit work is cheaper than delivering it.
A Quick Dive is scheduled within one week. A Diagnostic wraps in 1 to 2 weeks. For Build & Deploy, the Avva Inc. aerospace CRM rollout — a $3M agency with full data migration — took roughly 24 build hours after the on-site visit, deployed on GCP. Scope drives timeline, but we do not drag projects.
Four to twelve weeks, depending on scope. A focused workflow automation or internal tool lands on the short end. A full CRM rollout with migration and training, or an AI collections system like the one we shipped at Crown Valley Imaging, lives in the middle to upper end. We scope it up front so there are no surprise months.
No. Sami ran Crown Valley Imaging for 15 years, so healthcare and radiology are in the bones of the practice — but the operator playbook travels. We've shipped in aerospace (Avva Inc.), and the Build & Deploy work applies to any owner-operated $2M to $15M business with real ops pain.
Healthcare and aerospace, with live case studies in both. AI Patient Collections at Crown Valley Imaging drove a +129% increase in 123 days. Avva Inc., a $3M aerospace agency, got a full CRM rollout with data migration in roughly 24 build hours after an on-site scoping visit. If your industry is not on the list, ask — we'll tell you straight whether it fits.
You tell us what's broken or what you're trying to build. We ask sharp questions, not soft ones. By the end you have a recommendation: Quick Dive, Diagnostic, Build, Retainer, or none of the above. No pitch deck, no follow-up nurture sequence.
Both, scope-dependent. Diagnostics usually include up to two days embedded — on-site when that's the right move, remote when it's not. The Avva CRM build started with an on-site visit, then deployed to GCP remotely. We go where the work actually gets done.
Sami leads every engagement personally. That's the whole point of operator-led. No account manager handoff, no offshore team you never meet. When the scope requires a specific specialist, we bring one in transparently and you know exactly who is touching your systems.
Least-privilege access, scoped credentials, and we only pull what's needed for the engagement. Production deploys run on infrastructure you own — typically GCP for Build projects — so your data stays in your accounts, not ours. We sign NDAs and BAAs where they apply.
For healthcare builds we architect to HIPAA standards: BAAs with every subprocessor, PHI isolated in covered infrastructure, audit logging, and access controls. The AI Patient Collections system at Crown Valley Imaging runs under that model. We tell you exactly which controls apply before we start, not after.
You own it. Builds deploy into your cloud accounts, so when an engagement ends, nothing needs to move — you already have it. We hand over credentials, documentation, and any operator notes, then we delete our working copies. Clean exit, every time.
A consultant writes a deck. An operator ships the fix. Sami ran a radiology group for 15 years before starting Veredge — he's lived the payroll runs, the staffing gaps, the insurance calls, the vendor messes. The output of a Diagnostic is a ranked leak list with real implementation costs, not a maturity-model wheel.
Agencies optimize for billable hours. Operators optimize for fewer hours next quarter. We publish prices, refund half when a Diagnostic finds nothing, and exit retainers the moment your systems run without us. The incentives line up with yours because Sami has sat in your chair.
Book a 20-minute call. Tell us what's broken or what you're trying to build. We'll tell you if we're a fit.
Book a 20-minute call