Case study · Equipment leasing · government + non-profit
Unified Fleet Services
From a full-day quote to minutes — the case study from a different industry.
Case study · Shine and Sparkle
Hannah Brees runs Shine and Sparkle, a commercial and residential cleaning business. She came in for help saving time on marketing. We left her with three AI workflows that handle data, inbound calls, and customer outreach — and her team got 40 hours a month back.
40 hrs/mo
Freed up by the outreach automation alone
3 workflows
Data analysis, inbound, and outbound — all automated
0 missed
Cira, an AI voice receptionist, now answers every call
The challenge
Shine and Sparkle was already running on multiple systems — a marketing app, a sales tracker, house-cleaning software, and spreadsheets bridging the gaps. The tools worked individually. Together, they didn't compound. The team was burning hours on the seams between them, and Hannah knew leads were leaking out the edges.
Marketing lived in one app. Sales tracking lived in another. House cleaning operations ran on a third. Spreadsheets bridged the gaps. None of it compounded — every report meant exporting, copy-pasting, and manual reconciliation.
Calls came in faster than they could be answered. Each missed call was a lead that either reached a competitor or fell off the radar entirely. Hannah and her team were already maxed out doing the cleaning work itself.
The virtual assistant's day was eaten by manual outreach to inbound leads — the kind of follow-up Hannah wanted but couldn't scale. Even with the VA's help, follow-up was inconsistent and customers slipped through.
Past customers and one-time customers stopped hearing from the business. No upsell cadence, no win-back campaign, no reason for a one-off cleaning to become a recurring contract. The marketing engine was reactive, not active.
Hannah came in for “help me save time on marketing.” The actual problem was that her marketing wasn't a system at all — it was a stack of tools and a person running between them.
What we built
Our assessment of her workflow found three places where AI would compound for Shine and Sparkle. We shipped them in priority order and tied them together so the system runs without anyone driving it manually every day.
Showed Hannah how to use Claude to pull the data that mattered: churn rate, sales lists, segmentation, financial reporting. Reports that used to require an export-and-spreadsheet ritual now happen in a conversation.
Stood up Cira — the AI voice receptionist we built (hicira.com) — to answer inbound calls, capture lead details, and route urgent calls. Missed calls dropped to zero. The VA's time on call triage and lead intake disappeared overnight.
Built an automated outreach system trained on Hannah's voice — so the messages going out to current customers, past customers, and one-time leads sound like her, not like a template. Includes upsell offers for existing accounts, win-back campaigns for churned customers, and warm-touch sequences to keep one-time clients aware of the business.
The work wasn't “add three more apps.” It was tying the data, the inbound, and the outbound into one system that runs without anyone driving it manually every day. Hannah's job became reviewing what the system did, not running it.
How we worked
The engagement followed a simple arc: a 45-minute discovery call, a custom report with the workflows that would compound, and implementation against the 4-day quick-start plan. Hannah's engagement extended into the implementation work because she wanted the systems built, not just recommended.
Walked through Hannah's actual week — where time leaked, what tools she already had, what work the VA was doing, where leads were coming in and going dark.
Delivered a written report identifying the three workflows that would compound: data analysis, inbound triage, and voice-trained outreach. With a 4-day quick-start plan she could run from Day 1.
Stood up Claude for the analysis side, Cira on the phones, and the outreach cadence. Trained the cadence on Hannah's voice so the messages don't sound like template marketing.
The system runs without Hannah managing it day-to-day. She reviews what it produces and makes calls; the work itself happens whether she's at her desk or not.
The outcomes
That's the conservative number — Hannah's own line, dialed back so the claim stays credible. The actual savings across all three workflows are larger. Either way, it's hours that came directly off the team's plate without anything dropping.
Instead of spending most of the week on manual outreach and call triage, the VA can focus on the parts of the business AI shouldn't touch — the human-judgment work that actually needs a human.
Voice-trained automation means existing customers don't get spammy templates. They get messages that read like Hannah wrote them — because the system was tuned on how she actually talks.
Upsells go out on a cadence. Past customers get win-back attempts. One-time clients stay warm. The marketing engine moves whether Hannah is on a job, on a call, or at her kid's soccer game.
“I knew I was losing leads because we couldn't keep up with follow-up. Bryan looked at how my business actually worked and gave me a plan I could run on day one. The outreach automation alone freed up 40 hours a month on my team.”
Related
Case study · Equipment leasing · government + non-profit
From a full-day quote to minutes — the case study from a different industry.
The takeaway
Hannah didn't need more apps. She needed the ones she had tied into one system, so the work stopped running on a person. That's the work we do: find the workflows that pay off first, build them in that order, and get you time back.