Lead intake
Capture the agreed information and route it into the existing CRM or intake process.
Managed AI Operations / Industry context
Managed AI Operations for Real Estate
Lead intake, listing workflows, and follow-up become more useful when they are connected to the systems and people doing the work.
Start with the work your team needs to improve.
Lead intake, listing workflows, and follow-up become more useful when they are connected to the systems and people doing the work.
Follow-through
Track whether a requested action reached its owner and whether an exception needs attention.
Content & workflow review
Evaluate AI-assisted output, approved sources, and the operating cost of repeated tasks.
Keep every inquiry tied to an agent and a next step.
A lead may arrive through a listing portal, a form, or a phone call. Useful automation preserves its source, avoids duplicate records, and makes the receiving agent and follow-up status visible in the CRM.
Response times, lead outcomes, and savings depend on the actual process. We measure against your baseline rather than promise a universal conversion increase.
- Each inquiry has a source, owner, and next action
- Duplicate leads are reviewed before outreach repeats
- Listing content uses approved property information
- Failed CRM writes and notification gaps create review tasks
- Agents approve customer-facing decisions and commitments
Illustrative Blueprint scope
Repair one listing-to-CRM handoff.
Trace inquiries from one approved source into the CRM. Add a duplicate check and an exception queue for records without an assigned owner, then test the handoff with agreed sample inquiries.
What we would measure
Review assignment completeness, duplicate records, and time awaiting agent action. These measures show process reliability; they do not promise appointments, sales, or a conversion increase.
This is an example to discuss, not a prepackaged commitment or a completed client case. The two-week Blueprint includes one agreed improvement based on your environment and approved access.
Choose the service layer that fits the responsibility.
01 / Understand & improve
Private betaElevated AI GatewayRouting · Budgets · Access · EvidenceOptional control layer. Start with your existing tools.Blueprint
Two weeks to map the environment, baseline cost, and implement one improvement.
$7,500 fixed02 / Operate & optimizeVirtual AI Ops
A named operator, a regular review cadence, and an owned improvement backlog.
Starting at $5,000/month03 / Add control when justifiedManaged Private AI
A tailored deployment when your requirements make private AI the right choice.
Optional · scoped implementationYour business assets and operating responsibilities.
You own your data, business-specific AI assets, and the work Elevated AI creates for you. Foundation models remain subject to their own licenses. Portability depends on those licenses and the agreed architecture.
The Blueprint’s fixed scope includes one implemented improvement. Further work is agreed based on the model, data, integration, security, hosting, and operating needs involved. The initial discussion should make those boundaries clear before access or implementation begins.
Quick answers
Do we need to replace our CRM?
The first step is to inspect the existing source-to-CRM path and the access it supports. A Blueprint can target a contained handoff or review gap before a replacement is considered.
Can AI publish listing changes without review?
Publishing authority must be explicitly agreed. The workflows described here keep property facts and customer-facing commitments subject to the brokerage’s approval process.
Do we need a private model or Gateway?
No. We evaluate provider APIs and your existing controls first. Private AI is optional; Elevated AI Gateway is private beta and is not required to begin.
What happens after implementation?
The agreed handover defines ownership, evaluation, and support. Virtual AI Ops can supply a named operator and continuing reviews, starting at $5,000/month.
Make the next step concrete
Put an operator behind your AI.
Start with a two-week Blueprint. Leave with an operating plan and one improvement already in place.