72-hour Payback Map for a fictional home-service company.

Executive summary

The strongest first move is a human-reviewed estimate follow-up assistant. The workflow is frequent, close to revenue, low enough risk if messages are reviewed, and measurable in 30 days. This is not an auto-send automation. It creates a daily queue of follow-up drafts, owner/staff review decisions, CRM status updates, exception flags, and measurement events.

Workflow inventory

Ranked payback map

Tailored prompt pack

Prompts are written for staff-reviewed drafting, routing, reporting, and quality checks—not autonomous customer outreach.

You are helping a home-service office draft a polite estimate follow-up.
Inputs: customer_first_name, job_type, estimate_date, last_contact, assigned_owner, next_step.
Rules: do not change price, do not promise scheduling availability, do not pressure the customer, include one clear next step, keep under 90 words.
Output: SMS version, email version, staff review checklist.

Classify this estimate follow-up as SAFE_TO_DRAFT or HUMAN_ONLY.
Human-only if: complaint, refund, cancellation, legal threat, pricing dispute, sensitive personal situation, discount request, unclear job scope, opt-out.
Return: classification, reason, missing information, recommended owner.

Review this week's follow-up queue metrics.
Inputs: drafts_created, approved, edited, skipped, sent, replies, booked, complaints, opt-outs, staff_time_saved_estimate.
Return: what improved, what created risk, what to change next week, whether to expand or pause.

AI assistance mode map

The report classifies each opportunity by how AI should help, instead of treating everything as automate-or-ignore.

Human oversight map

Weekly check: review edits, skips, complaints, opt-outs, and human-only classifications before expanding the workflow.

Agent-ready tool stack review

Before buying another CRM, answering service, or automation subscription, the report defines what the tool would need to handle: intake fields, lead status names, response-time targets, review ownership, calendar/invoice handoffs, and customer-message approval rules.

Should I buy software, automate with AI, or build an internal tool?

Use the workflow map before choosing. Before buying CRM or answering-service software, this fictional contractor should not start by buying a larger CRM, installing AI everywhere, or commissioning custom software. First, answer five decision questions with the real handoff in view.

First 30-day AI workflow pilot

Pilot: Estimate follow-up assistant. Every afternoon, AI reviews open estimates, drafts follow-up messages, flags high-value jobs, classifies exceptions, and prepares a send queue for owner or office approval.

Not the pilot: automatically following up with every customer, changing prices, promising appointment windows, or handling complaints.

Model-riding maintenance checklist

• Keep 5–10 benchmark examples of good inputs and approved outputs.
• Once per month, re-test the workflow with current AI tools/models.
• Compare draft quality, exception handling, tone, and missing-context behavior.
• Update prompts and SOPs when model behavior improves or drifts.
• Keep humans in approval loops until reliability is proven with real workflow data.

SOP drafts

First agent pilot ticket

Title: Pilot reviewed estimate follow-up assistant.

User story: As an office manager, I want an AI-assisted daily queue of draft follow-ups for estimates with no response, so I can approve consistent reminders without manually searching the CRM or giving AI permission to send on its own.

AI readiness and risks

Team training workshop

45-minute agenda:

1. Why the first system is a reviewed queue, not auto-send AI.
2. Walk through the current estimate follow-up workflow and pain points.
3. Review examples of good, edited, skipped, and human-only drafts.
4. Practice approving five sample drafts.
5. Confirm escalation rules and weekly metrics.

Training asset: one-page staff checklist: “Before approving an AI-assisted customer follow-up.”

30-day operating cadence

1. Week 1: Confirm CRM fields, follow-up timing, message owner, opt-out language, and exclusion rules. Collect 10 redacted examples.
2. Week 2: Build the queue in the chosen tool and test prompts against historical estimates.
3. Week 3: Pilot with one estimator and 10–20 live estimates. Log edits, skips, replies, and staff time.
4. Week 4: Compare response time, booked jobs, staff time, customer issues, and failure-log themes. Re-test the benchmark examples against current AI tools and decide whether to expand to missed-call callback tasks.

Assumptions and verification questions

• Assumption: estimates have sent date, status, assigned owner, and customer contact method. Verify before build.
• Assumption: staff can review drafts daily. Confirm owner and fallback.
• Question: What tone is acceptable for 24-hour vs. 72-hour follow-up?
• Question: Which job types should never receive AI-assisted draft follow-ups?
• Question: What CRM field should mark a customer as paused or opted out?
• Question: What weekly metric proves this should continue?

Implementation handoff checklist

Before implementation, provide sanitized examples of past estimates, current follow-up templates, CRM field names, approval owner, exception rules, and preferred tone. Passwords, API keys, private customer lists, and payment data are not needed for this report.