Staging before live
We build in a separate test setup or with test records first, so nothing touches your real customers, books or calendar until it's ready.
Process · How we work
Every project starts with a free discovery call and a workflow audit, and nothing gets built until you've read a written scope and agreed to it. Here is what happens at each stage of our AI automation process, what we need from you, and what you get back.
The five steps
Each step has a clear purpose and a clear output. You always know what's happening, what we're waiting on and what comes next.
A conversation, by video or in person around Wilmington, about how your business runs, which tasks eat the most time and what you'd most like to stop doing. We ask a lot of questions, and we tell you plainly whether we think automation is a good fit.
We sit with the people who do the work and watch tasks happen the way they really happen. We list every tool, hand-off and exception, including the ones nobody wrote down, and note how often each task comes up and how long it takes.
We build the agents and automations around your process, connected to the tools you already use and set up in accounts your business controls. Everything is built and tested in a staging setup first, and we show you progress on real examples as we go.
New systems run alongside your team before they take over. We compare results, fix what needs fixing and only switch over when the people who rely on it trust the output. Then we train everyone who will use it.
Software changes. Vendors update their apps, your team grows and your process shifts. We keep an eye on what's running, fix problems early, adjust rules as your business changes and build the next item on your list when you're ready.
The workflow audit
The audit is the most important step in the process. It turns "we're always busy" into a specific, written list of where the hours go and what to do about them.
How we decide what to automate firstYou keep the audit findings whether or not you hire us to build anything.
Audit findings
Most of what we find isn't dramatic. It's the quote request that three people touch before anyone replies, the customer re-typed into two systems, the tracker someone rebuilds every Friday.
Each finding is written down with the steps involved and the time it costs, so the decision about what to build first is based on your real week, not a guess.
Illustrative example. Your findings depend on your business.
Building safely
An automation that's wrong some of the time is worse than no automation. These safeguards are part of every AI agent and workflow automation we build, not optional extras.
We build in a separate test setup or with test records first, so nothing touches your real customers, books or calendar until it's ready.
We test with the messy emails, odd forms and edge cases your business actually gets, not tidy samples. Then the system runs alongside your team before it takes over.
You decide which actions need a person's OK, like sending a reply to a client or changing an invoice. Anything unusual is flagged instead of guessed at.
Each automation gets permission to the systems and actions its job requires, through accounts you control. If it only needs to read a mailbox, it can't send from it.
Every action is recorded: what came in, what the system did and why. If someone asks "what happened to that order?", there's an answer.
Every launch has a rollback plan. If something misbehaves, we can switch it off and your team returns to the old way of working while we fix it.
Handling sensitive records? Ask about private and local AI, which keeps data on hardware you control.
Engagement shapes
The audit points toward one of these. Whichever fits, the scope, timeline and price are agreed in writing before any work begins.
A single, clearly scoped automation, like quote intake or invoice processing. We build it, launch it, train your team and hand it over. A good way to see how we work before committing to more.
When the audit turns up several opportunities, we sequence them so each phase pays off before the next one starts. You can pause between phases and reprioritize as you learn what works.
For businesses that want someone keeping an eye on things: monitoring, fixes when a vendor changes something, rule adjustments as you grow and new automations added over time.
It depends on how many workflows and people are involved. A small team with one problem area takes less time than a business with several locations and departments. We agree what the audit will cover on the discovery call, so you know what to expect before it starts.
Yes. The discovery call and the workflow audit cost nothing, and you keep the written findings whether or not you hire us to build anything. Pricing for a build depends on its scope and is quoted in writing after the audit.
No. For the audit we mostly need to watch the work being done, often over a screen share. For a build, access is limited to the systems that project touches, granted through accounts you control, and you can remove it at any time.
Then we'll tell you. Some tasks happen too rarely, change too often or need too much judgment to automate well. The audit says that just as plainly as it says where the time is going.
Yes, and we usually recommend it. Starting with one well-defined workflow lets your team see how it runs and build trust in it. The ranked list from the audit makes it easier to decide what comes next.
Free workflow audit
Tell us how your business runs and where the time goes. We'll tell you honestly whether an audit makes sense, and if it does, what it will cover. No cost, no obligation.
or email tom@columbusinnovate.com