A business with five different AI tools and no real plan.

This is a composite example, built to show the shape of the deliverable — not a real client.

The situation

Leadership knows AI could help, but every employee is using something different and nobody owns the decision.

The ask

"Where should we actually focus, and what's safe to automate without creating new problems?"

The audit answer

Three workflows worth pursuing now, two to revisit later, and one that should not be automated at all.

A ranked list — not a wish list.

Every workflow gets sorted into one of four buckets: do it now, plan it next, hold for later, or don't automate this. Plain language, no scoring matrix to decode.

01

Missed-call and quote follow-up

Calls and quote requests are falling through the cracks. AI can draft the follow-up; a person still sends it.

Do now
02

Internal documentation and SOPs

Knowledge lives in people's heads. AI can turn voice notes and rough docs into clean, searchable procedures.

Do now
03

Review and reputation requests

Happy customers rarely get asked for a review. A simple automated nudge, with human oversight, fixes this fast.

Plan next
04

Scheduling and dispatch support

Real opportunity here, but the current process has too many manual workarounds to automate safely yet.

Hold for later
05

Customer-facing chatbot

The instinct is to start here. The audit shows it's the riskiest, lowest-value option until the basics above are solid.

Don't automate yet

30, 60, 90 days. No guessing what comes next.

The roadmap is sequenced on purpose — early wins build trust and clean data before anything more complex gets automated.

Days 1–30

Fix the fast, safe wins

  • Set up missed-call and quote follow-up with human approval
  • Start converting tribal knowledge into written procedures
  • Assign one owner for AI decisions going forward

Goal: visible time savings without touching anything customer-sensitive.

Days 31–60

Build on what's working

  • Launch review request automation with oversight
  • Clean up scheduling data so it's ready for automation
  • Write simple rules for what AI can and can't decide alone

Goal: a second workflow live, and the next one properly prepped.

Days 61–90

Decide what's next

  • Revisit scheduling and dispatch automation readiness
  • Review what's actually saved time or money so far
  • Make a clear, evidence-based call on the chatbot question

Goal: a real decision backed by 60 days of evidence, not a guess.

Every recommendation says who's still in charge.

AI drafts, suggests, and flags. People approve anything that touches a customer, a price, or a promise.

What AI can do on its own

Draft follow-up messages, organize notes into procedures, flag patterns worth a second look.

What needs a human first

Anything sent to a customer, any pricing or scheduling change, any new policy or promise.

What you walk away with.

Want to see what this looks like for your business?

The free consultation is where we find out if an audit makes sense for you. No pitch, no pressure.

Prefer to call? 509-564-4064 · Or email [email protected]

This sample is illustrative and built from a composite scenario. Your audit will reflect your actual workflows, tools, and data.