Straightanswers.

It takes the repetitive work off your people — the retyping, the follow-up emails, the payment reminders, the digging for information. Done well, your team stops doing copy-paste and starts doing the work you actually hired them for. Done badly, it's an expensive way to make a mess faster, which is why the first question is always whether AI is even the right fix.

No. This runs on the tools you already have — forms, email, spreadsheets, your CRM. You don't need a data team and you don't need to understand the plumbing. What you do need is to be able to describe the workflow you want handled. If you can do that, you're ready. If you can't, that's the thing to fix first.

Longer than you want, and I would rather say that up front than miss a date. The process looks complete when we start. Then I build it out and steps go missing — not hidden from me, just automatic in somebody's head and never written down. That is normal, and finding them is most of the work. Then you see it running and start asking whether it could do the next thing too. That is exactly what I want you asking, and it adds time. I will take the small additions that do not change the shape of the build. The longest part is testing and confirming it, and I do not shorten that part. I do not do half-baked work.

Start where you repeat yourself. Lead follow-ups, quoting, billing reminders, triaging the support inbox, the weekly report nobody wants to build. They’re predictable, they eat real hours, and they pay back fast. The trap is automating the wrong thing well — a fast version of a broken process is still broken.

Start by treating unofficial AI use as a clue, not a confession. If someone uses a free or personal AI account to draft proposals, summarize meetings, or chase invoices, they've already shown you where the work is painful. The Find stage of the Conefer Recon looks for those patterns and turns them into candidate processes the business can own. If it exposes a data or access risk, I flag it for the right specialist. It is best-effort discovery, not employee surveillance or a security scan, and it won't pretend to find everything.

Every process sees the least data it needs, sensitive fields get redacted, and anything risky — big discounts, refunds — waits for a human to approve it. Access is role-based and logged. Governance isn’t a bolt-on at the end; it’s decided before anything gets built.

It takes the low-judgment, repetitive steps off their plate. Your people handle the exceptions and the moments that actually need a human. Most owners I work with reassign that freed-up time to sales, service, and training — not to a layoff.

You flag it, I log it, and the rule or content behind it gets corrected. Anything that answers questions shows its sources, and the sensitive steps keep a human in the loop. Nothing ships that can't be checked.

I don't sell tools. I don't own any of the platforms, so I have nothing to push. Every subscription is in your name and on your card, which means you can drop one without asking me. I pick what fits the process, and I keep things in neutral formats like plain spreadsheets and standard APIs wherever I can. When your needs change, you swap a piece instead of rebuilding the whole thing.

Every process gets one number that says whether it’s working — quote-to-close time, days sales outstanding, first-response time, how long it takes to find something. I measure it before and after, so the impact is a fact, not a story.

Yes. It's built in small, editable pieces, so when your products, prices, or policies change, you adjust the rules and messages instead of starting over.

It's how I find out what's actually running in a business before anything gets built. Two days to a week, depending on the size of the company. I sit with the people doing the work — not a questionnaire — and every place AI touches the business gets a verdict: keep it, stop paying for it, or rebuild it. Implementation is separate. Every Conefer Recon starts with a working call, because what it covers depends on what you're running.