- Crews leave sites without consistent proof of what was completed.
- Client reports are rewritten from scratch every cycle.
- Exceptions raised in the field disappear into message threads.
- Status requests arrive by phone and email, one client at a time.
AI Quick-Wins Assessment
Prepared for HarborView Property Services. This sample company output is used to demonstrate our format, evidence standard, and decision framing of a StarGentic assessment. We use this type of sample to protect the privacy of our clients.
Executive decision
The assessment narrows the business to one production-equivalent quick-win loop.
One loop: guided field capture → evidence-grounded draft → human approval → client-visible proof.
- Prove the loop on five sites before widening scope.
- Decision rule: advance only if the pilot clears every pass criterion. Otherwise revise or stop.
What we reviewed and what remains unknown
This practice sample separates client-supplied facts from assumptions that require validation.
- 60-minute owner interview
- Five sample client reports
- Current tool and subscription list
- Supervisor time estimates
- 28 employees; six crew leads
- 18 recurring client sites
- 42 service visits per week
- 46 admin hours per week
- True field completion rate
- Client receipt open rate
- Exception and rework frequency
- Measured time actually returned
Planning assumptions: $35 loaded hourly value · 52 weeks · illustrative vendor pricing. Every assumption is replaced with measured data during the pilot.
Six bounded quick wins
Each recommendation has a clear pain, fix, owner and measurable return hypothesis. Only the first three enter the pilot; the rest phase in after proof.
Missing proof after crews leave
→ QR-guided service receipt
Reports rewritten from scratch
→ Evidence-grounded AI draft
Exceptions disappear in messages
→ Owner + due-date routing
Routine inbox sorting delays replies
→ Human-approved triage drafts
Procedures vary by supervisor
→ Capture-to-SOP template
Clients ask for status manually
→ Read-only service dashboard
Impact–effort screen: all six sit in the high-impact, low-effort quadrant. Items 01–03 enter the first pilot; 04–06 phase in only after the loop is proven.
Recommended stack with cost controls
Illustrative pricing only. Verify current vendor terms, privacy posture, and fit before purchase.
SafetyCulture
Guided field proof
Make
Route evidence + actions
OpenAI API
Draft bounded summaries
Google Workspace
Approval + shared intake
Scribe
Capture procedures
Looker Studio
Read-only dashboard
Illustrative monthly budget cap: $259. No customer-specific code and no recurring analyst work in the pilot scope.
Four-day production-equivalent prototype
Baseline + template
- Measure current report preparation time
- Define required evidence and exception fields
- Configure the guided capture template
Evidence → draft
- Route one completed visit into a grounded client-summary draft
- Bound the draft to captured evidence only
Approval + exception
- Require human approval before anything reaches a client
- Assign unresolved items an owner and a due date
Live dry run
- Test five sample visits with two crew leads
- Record errors, corrections, and timing
Thirty-day paid pilot
One workflow, five sites, six crew leads and objective evidence. This is not a broad transformation program.
- At least 80 completed service receipts
- Two avoided proof chases or client disputes
- Median report preparation cut by at least half
- No customer-specific code or recurring analyst work
- Workers bypass the capture flow
- Every site requires bespoke configuration
- Correction time erases the labor benefit
- Client-facing proof is not valued or opened
Guardrails: no sensitive PII · no autonomous customer messaging · human approval required · 90-day pilot retention · no custom integration.
Financial impact scenario, not a promise
The model values returned capacity. It does not claim guaranteed cash savings or eliminated positions.
| Scenario | Hours returned / wk | Net monthly capacity |
|---|---|---|
| Low | 10 hrs | $1,258 net · $15,092 annualized |
| Base | 18 hrs | $2,471 net · $29,652 annualized |
| High | 24 hrs | $3,381 net · $40,572 annualized |
Formula: hours × $35 × 52 ÷ 12 − $160. Replace every assumption with measured pilot data.
Decision and next steps
The assessment is valuable only if it leads to a measurable, actionable decision.
Confirm or correct the baseline.
- Provide five recent service reports and actual preparation time.
- Name the five pilot sites and six crew leads.
- Confirm the loaded hourly value and current software costs.
- Identify privacy, retention and client-approval constraints.
AI Quick-Wins Operations Assessment
- One focus area plus a 60-minute discovery session
- Completed assessment and a review call
- One consolidated revision
- Scope boundary: assessment only. The tool setup, training, integrations and implementation are separately scoped.
No purchase or implementation is authorized until the assumptions are reviewed and accepted.
See what this would look like for your operation.
This sample uses a fictional client. A real assessment starts with a discovery session and your own numbers.
