AI IN CLEAR audits how your business actually runs, then builds the automation and AI systems that earn their keep — no jargon, no guesswork.
Most companies need one of these first. Some need all three, in order.
One 45-minute session. No pitch, no jargon.
We sit down with you for 45 minutes and map how your business actually runs. You walk away with specific next steps — tools you can start using this week where one exists, and a clear flag on anything bigger that needs a proper build, not a quick fix.
The build: systems that pay for themselves.
We design and ship the automations and AI systems that come out of the audit — the ones that save money, increase throughput, or save time, wired into the tools your team already uses.
For teams who need to understand it first.
Plain-language training for owners and teams who want to use AI well before — or instead of — handing it to a vendor. No hype, no dead-end tools, just what's actually useful for your business.
Some businesses need to build literacy before they build systems. Our training track gets owners and teams fluent in what AI can and can't do for them — so every future decision, ours or anyone else's, is an informed one.
Ask About Team TrainingLeadership Briefings
A half-day session for owners and execs: what AI actually changes in your industry, and what to ignore.
Team Workshops
Hands-on sessions so staff use the tools you already pay for, properly — before we automate around them.
Ongoing Office Hours
Monthly check-ins as the landscape shifts, so your team's understanding doesn't go stale.
We spend time in your actual operations — not a questionnaire — to find where money, time, and growth are leaking.
You get a prioritized plan: what to tackle first, expected impact, and a straight answer on what AI shouldn't touch yet.
We implement the systems — inside the tools you already run — with your team involved at every step.
Every system ships with a scorecard: hours saved, cost reduced, throughput gained. We keep tuning until it holds.
“Every engagement is measured against a number, not a vibe.”
We're building our public case-study library now. Ask for references from current engagements on your audit call.
Cost
We baseline what the manual process costs today — salary hours, tools, error-driven rework — before we build anything. Savings get measured against that number, not assumed.
Time
Hours returned to your team are tracked weekly after go-live, not just estimated at kickoff — so impact doesn't quietly decay a month in.
Throughput
Where the goal is growth, we baseline current capacity — leads, orders, tickets, whatever throughput means for your business — and measure the lift after launch.
It's the most common starting point. That's exactly what the audit is for: we assess where you are today, in plain language, before recommending anything.
Our systems are built to remove repetitive work, not people. Most engagements free your team up for higher-value work rather than reducing headcount — we'll always tell you honestly if a role is genuinely at risk of becoming redundant.
The initial business audit is free. If we find meaningful opportunities, we'll scope a paid roadmap and build phase together — no obligation to continue.
We design with data minimization and access control from day one, and work within whatever compliance requirements your industry demands (GDPR, HIPAA, etc.). We'll document exactly what data moves where before anything ships.
Rarely. Most automation and AI systems integrate with what you have. Where the existing site or stack itself is the bottleneck, that's flagged clearly in the audit, with options rather than a mandate.
Tell us a bit about the business. No pitch deck, no lock-in — just a clear view of where automation and AI can save you money and time, or help the business grow.
Prefer email? moc.raelcnia@trebor
