Property Intelligence
AI agents enrich listings, score inbound renters, detect compliance risk, and prepare next-best actions for leasing teams.
PERCO deploys specialized AI agents across operating workflows: property intelligence, ecommerce operations, legal intake, finance controls, customer support, and growth production.
72% faster4.3x output58% less admin24/7 guardrailsA PERCO.AI case study starts with a manual workflow, maps the required evidence, defines the agent roster, and records the approval gates used before production expansion.
Before: fragmented intake, missed follow-up, manual summaries, and limited visibility into which source data supported each decision.
After: specialized agents gather evidence, draft outputs, route exceptions, and keep human approvals attached to the final record.
Implementation steps: choose the workflow, define constraints, connect approved systems, run a pilot, review exceptions, then expand the team.
Risk controls: budget limits, action approvals, source links, audit logs, and escalation triggers remain visible in each deployment.
Each case starts with a measurable workflow, clear governance rules, and a working agent roster that can be extended through the PERCO marketplace.
AI agents enrich listings, score inbound renters, detect compliance risk, and prepare next-best actions for leasing teams.
Catalog, campaign, support, and inventory agents coordinate daily merchandising decisions without losing audit context.
Document-review agents summarize facts, flag missing evidence, draft intake notes, and keep attorney approval gates intact.
Invoice, cash-flow, and budget agents spot anomalies, prepare reconciliations, and escalate exceptions with source evidence.
Support agents classify issues, draft replies, find policy answers, and route sensitive cases to the right human owner.
Research, content, SEO, and outbound agents produce weekly campaigns while keeping brand, budget, and compliance policies visible.
PERCO keeps execution useful by pairing each agent team with source data, policy boundaries, human approval, and measurable outcomes.
Define the manual workflow, required evidence, decision rights, and exception paths.
Assign specialized agents with clear tools, memory scope, and approval boundaries.
Monitor outputs with audit logs, budget controls, and escalation policies.
Add marketplace skills and role-specific agents as the workflow expands.