Missed or delayed leads
Capture website forms, shared inboxes, call events, and CRM updates, then route urgent work to the right person with a clear next action.
Supervised AI workflows
AI Client Ops automation for service businesses that cannot afford to lose leads.
We design supervised AI workflows that capture inbound leads, follow up on estimates, keep CRM data clean, and give owners a clear view of client operations — without handing risky decisions to unsupervised automation.
The client operations problem we solve
Service businesses lose revenue when leads sit unanswered, estimates do not get follow-up, CRM notes stay messy, and owners cannot see what happened this week. Generic “AI agency” promises do not fix that. A well-scoped client operations workflow does.
Manual follow-up chaos
Create reviewable follow-up drafts for estimates, reminders, review requests, and internal handoffs so the team is not relying on memory.
Messy operational data
Normalize CRM fields, summarize call or service notes, flag missing data, and build a weekly view of leads and scheduled work.
How the engagement works
- Snapshot: a quick review of one workflow or funnel to identify obvious automation opportunities.
- Paid AI Client Ops audit: workflow map, bottlenecks, risk review, tools inventory, and the first implementation recommendation.
- Initial workflow build: one fixed-scope automation in 1–3 weeks, such as lead intake plus estimate follow-up.
- Monitor and improve: post-launch checks, small adjustments, reporting, and prioritization of the next workflow.
First workflow: lead intake + follow-up
The recommended first automation captures inbound leads, classifies urgency and service type, routes the lead to the owner, dispatcher, or sales contact, drafts the first response, and updates the CRM or spreadsheet after human review.
Built around ROI
Success is measured by response time, leads with follow-up, scheduled estimates, CRM completeness, and owner/operator visibility.
Scoped for safety
External messages, CRM-changing actions, and sensitive customer data include approval gates until the client trusts the workflow.
What stays under human review
AI can help classify, summarize, draft, and route work. It should not silently send risky messages, change important CRM records, use sensitive customer data, or make pricing promises without a human approval process.
Commercial model
- Free initial snapshot when there is a clear workflow fit.
- Paid AI Client Ops audit before implementation.
- Fixed-scope first workflow depending on integrations, risk, and volume.
- Ongoing retainer for monitoring, improvements, and reporting after launch.
Next step
Request an AI Client Ops audit
Get a workflow map, risk review, and first automation recommendation before committing to a larger build.