Workflow interview
One owner or manager interview focused on a repetitive, costly workflow.
01Start with a bounded AI Workflow Diagnostic: one focused workflow, 2–3 practical automation opportunities, a guardrail review, and a 30/60/90-day action plan your team can use.
cfinch@reasoningframeworks.com
Most AI projects stall for the same reason: they start with the tool. I start with your people, find the workflow that’s draining them, and fix that first.
The AI Workflow Diagnostic is the focused first engagement for small teams where relationships are the product. It maps one painful workflow before any build or tool decision.
One owner or manager interview focused on a repetitive, costly workflow.
01A plain-English view of the steps, tools, handoffs, friction, and privacy limits.
02Prioritized options matched to impact, effort, readiness, and human oversight.
03Recommended next steps, guardrails, and a practical sequence for moving forward.
04Every engagement starts with one workflow. Bigger work follows only when the first one is working.
One workflow mapped in plain English, two or three safe opportunities, a guardrail review and a 30/60/90-day plan.
01Intake, scheduling, reporting and follow-up, automated with a person accountable at every checkpoint.
02Small internal assistants built on platforms you already pay for, documented and handed off so your team owns them.
03Plain-English training, role-based playbooks and an AI use policy, so adoption outlasts the engagement.
04For each one, a clear line between what AI should take on and what stays with your people.
The same questions arrive by email, phone and DM, and someone answers each one by hand.
Booking, confirming, rescheduling and chasing no-shows crowds out the work in front of you.
What a client already told you gets re-keyed into forms, files and systems.
The check-in, the thank-you and the next step go out whenever someone remembers.
Proposals, reports and grant narratives begin on a blank page, after hours.
The same numbers get copied between spreadsheets, apps and email every week.
One owner or manager interview on the workflow that hurts most: what happens, who touches it, where it stalls.
01The steps, tools, handoffs and hours, charted so you can see exactly where the time goes.
02Privacy limits, human checkpoints, and a clear list of what AI should never touch.
03Two or three safe options, ranked by impact and effort, sequenced into a 30/60/90-day plan.
04No invented case studies or borrowed logos. Here is what has actually been built.
A compressed event campaign turned into a staged, reviewable production plan, with clear launch gates and a committee approving every piece before it went out.
When there are, they’ll be published here, including what didn’t work.
I've spent 15+ years leading multi-site, people-heavy service teams, and I've watched great people lose their days to admin. Reasoning Frameworks is deliberately small: when you work with Reasoning Frameworks, you work with me.
No sprawling roadmap. Prove value on one thing before touching the next.
Every automated step has a named human checkpoint. Nothing runs unsupervised.
No rip-and-replace and no software you’re told you need to buy.
Client data stays in business-tier tools that don't train on it.
If your team can’t explain what a tool does, it isn’t finished.
You’ll hear where AI won’t help, too, and what hasn’t been proven yet.
If AI is not the answer for your team, you will hear that too. Replies within 1–2 business days.
cfinch@reasoningframeworks.com