AI Advisory
AI can now do real work across operations: QA, outreach, intake, reporting, analysis. The companies putting it into production are pulling away from the ones still running pilots. We help you find where it pays off, then ship it.
Client Outcomes
This company was manually reviewing 3% of contact center calls. Compliance risk was invisible. Top performers couldn't be identified or replicated. We deployed HIPAA-compliant AI scoring across 100% of calls — flagging compliance risk in real time, ranking rep performance across every location, and surfacing coaching insights automatically.
Outbound patient outreach was bottlenecked by headcount — reps could only make so many calls per day, and quality was inconsistent. We built an AI-powered outbound calling system that handles scheduling, follow-ups, and re-engagement autonomously, with natural conversation and real-time escalation to humans when needed.
Productized Engagement
Two weeks. Full diagnostic. We map your operations, identify the highest-ROI AI opportunities, and hand you a prioritized roadmap with clear owners, timelines, and expected impact. No fluff. No 80-page deck you'll never read.
We embed with your team. Shadow workflows, map call flows, review tech stack, interview department leads. We learn your business like we work there — because for these two weeks, we do.
We score every process against our automation framework: impact, effort, risk, and data readiness. You'll see exactly where AI can save money, increase capacity, and improve quality — ranked by ROI.
A prioritized execution plan with 3 tiers: quick wins (ship in 2 weeks), medium bets (30–60 days), and strategic plays (90 days). Each with clear owners, success metrics, and budget estimates. Boardroom-ready.
Our Framework
Most companies automate the wrong things first. We identify the 20% of workflows creating 80% of the drag.
We build and deploy AI solutions in 14-day sprints. If it takes longer, the scope is wrong.
Every deployment gets measured. What works gets expanded. What doesn't gets killed fast.
The models crossed a line. AI is now good enough to do real operational work, not just demos. The gap between companies using it well and companies still "exploring" it is widening every quarter, and it compounds.
Once you've seen AI work inside your operations, you can't look at meetings and workflows the same way. You start seeing waste everywhere, and asking why anything waits a quarter to ship. We deliver something usable every two weeks. Larger systems get built as a series of two-week releases, each one live and measured.
Capacity is no longer capped by headcount. AI can absorb the repetitive volume that used to need more hires, so your people spend their time on judgment, relationships and growth. The question isn't whether you can automate. It's whether you have the conviction to actually do it.
AI multiplies your best people. The highest-leverage roles get dramatically more productive with the right tools. Find those roles, invest in the people in them, and let AI carry the repetitive work around them.
How we work
Every sprint ends with something live and measurable. If two weeks can't produce anything usable, the scope is wrong. Big systems get built as a series of small releases, not a long wait.
Keep humans on consequential decisions. Everything else — routing, triage, drafting, QA, reporting — should run without someone sitting in a chair doing it manually.
We use frontier models from the leading labs, matched to the job, and give them room to reason. Cheap models produce cheap results. We use what works, not what's cheapest.
Don't hand AI a list of requirements. Explain the problem. Let it brainstorm with you like a subject matter expert. The companies getting the most from AI treat it as a thinking partner, not a task executor.
Some work needs exceptional human judgment. A lot of it doesn't. Figure out which is which, put your strongest people on the first kind, and let AI handle the second. The organizations that get this right will look very different in 12 months.
You don't need another committee or pilot program. You need someone who's done this, knows what works, and will tell you what to do — not what you want to hear.
Resources
Why every sprint should ship something real in 14 days.
Read →Where to apply AI first for wins you can measure.
Read →When it's time to stop renting and start owning.
Read →Ship fast without the security mistakes that kill you later.
Read →Guardrails for when the AI is customer-facing.
Read →How AI exposes the gap — and how to build for it.
Read →Tell us your biggest operational bottleneck. If there's a fit, we'll scope an Operating Scan. If there isn't, we'll tell you that too.