Dwelon
Governed property operations

Unified Agentic Property Operations
for Landlords and Property Managers

Coordinate maintenance, rent follow-up, renewals, and resident communication through connected systems, policy gates, and human approvals.
Dwelon AI product operations preview
[01] how-it-works

Three steps to an operating portfolio

Connect your systems, define policy, and let the agent run the day-to-day.
Connect your stack

Link leases, inboxes, payment portals, and ticketing tools. The agent reads existing state — no migration required.

Set policy guardrails

Define what the agent can execute autonomously, what needs approval, and what escalates to a human. Approved low-risk workflows can run automatically; blocked paths surface operator action required.

Run the day

Rent, maintenance, renewals, and owner reporting happen in the background. You review exceptions in a single daily digest.

dwelon — workflow.log80×24
dwelon run --policy default
[captured]
Tenant inbox synced

Resident reports a faucet leak, includes two photos, and tags it as urgent.

[resolved]
Policy-safe action plan

Dwelon confirms approved plumbing vendors, drafts the resident update, and prepares dispatch for approval or a configured provider handoff.

[logged]
Owner digest updated

Timeline, vendor ETA, and reimbursement notes are saved into the audit trail automatically.

lease synced ✓ inbox active ✓ policies armed ✓

One workflow, end to end.

Every request - from a leak report to a renewal - is captured, resolved, and logged as a single auditable thread when the relevant source systems are connected. Operators drive it through chat; the agent coordinates tenant and vendor follow-through within policy.
  • Drive any operation directly from chat
  • Backed by end-to-end scenario verification
  • Connect leases, inboxes, and portals in minutes
  • Triage tickets and track renewals automatically
  • Audit trail kept current, without extra reporting work
[03] differentiators

Built for operators, not demos

Six design decisions that separate a policy-bounded operator agent from a passive chatbot.
Proactive, not reactive

The agent monitors lease timelines, delinquency risk, and maintenance SLAs continuously — surfacing issues before they become exceptions.

Approval-aware autonomy

Routine work executes without intervention. High-impact actions pause for human approval, with full context attached.

Persistent operational memory

Conversation history, workflow state, and prior decisions carry across sessions. The agent never starts from scratch.

Audit-ready by default

Every action lands in an immutable log with its policy source, inputs, and outcome — no separate compliance reporting pipeline required.

Interrupt anytime

Operators can take over mid-workflow, override a draft, or redirect the agent — execution state is preserved throughout.

Verified against real scenarios

Covered by scenario-driven regression tests for disputed charges, lease breaks, and vendor failures; launch claims stay tied to passing evidence.

Dwelon vs. manual operations

Replace waiting, chasing, and handoffs with an operating layer that keeps every workflow moving.

Two operating metrics to benchmark during onboarding. Planning model only; live results depend on portfolio mix, provider readiness, and operator policy.

Operating benchmark

Manual operations

Dwelon agent

Resolution pace
Operational shift
Reactive queue

Planning baseline

Work waits for attention
Always-on triage

Target operating state

Every request starts moving
Rent follow-up coverage
Operational shift
Human follow-up

Planning baseline

Coverage breaks after hours
Policy-driven follow-through

Target operating state

Every account stays on cadence

One agent on duty. Every workflow accounted for.

policy bounded / audit ready
[05] reliability

Engineered like infrastructure, not a chatbot

Scenario regression tests exercise the agent against scripted resident disputes, vendor failures, and policy edge cases before release.

Late payments, contested fees, lease breaks, and vendor no-shows run in CI. Critical-path failures block release until evidence is restored.

Scenario-driven tests

Simulated residents dispute charges, delay payments, and report complex issues. The agent must resolve each case before release.

Policy-bounded actions

Every action the agent can take is declared in policy. The runtime refuses to execute anything outside that boundary.

No release on regression

If a known workflow stops passing end-to-end verification, the build does not ship — no exceptions, no manual overrides.

test_suite_v2.ts
// Executing Dwelon Critical Path Tests...
01

should_negotiate_payment_plan_within_policy

02

should_escalate_black_mold_immediately

03

should_deny_unauthorized_pet_request

04

should_calculate_prorated_rent_correctly

05

should_draft_lease_renewal_with_configured_policy

06

should_detect_lease_break_early_warning

07

should_verify_vendor_insurance_before_dispatch

PASS - critical-path scenarios - policy gates enforced

Critical workflows must pass against policy before deploy.
[06] governance

Autonomy with guardrails

Four design constraints determine what the agent is allowed to do and what happens when it can't.
01
Every action, logged

State changes are written to an immutable audit trail with the policy rule that authorized them — ready for compliance review.

02
Fails closed, not creative

On timeouts or ambiguous input, the agent stops and flags — it never improvises a policy or forges a reply.

03
Handoffs with full context

When a case escalates, the human operator inherits the full execution history — timeline, prior drafts, and the reason for escalation.

04
Hard rules, not prompts

Fee caps, notice periods, and regulatory constraints are enforced in code — the model cannot reason its way around them.

Dwelon vs. manual operations

Seven operational capabilities side by side.
Feature
Manual Ops
Dwelon
Autonomous rent collection nudges
Maintenance triage & vendor dispatch
Renewal & compliance workflows
Omni-channel tenant messaging
Owner KPI digests & reporting
Response time

Days to weeks

Real-time, 24/7

Cost

Full-time coordinator

Fractional agentic assistant

Keep exploring

Detailed pages on features, pricing, use cases, and resources.
Features overview

See every AI landlord workflow and the guardrails that keep you in control.

Frequently Asked Questions

Dwelon AI monitors rent, maintenance, renewals, and compliance tasks around the clock. It drafts communications, prepares approved vendor handoffs when configured, reconciles source updates, and escalates exceptions so your team steps in when human judgment is required.

All property data stays encrypted in transit and at rest. Temporary uploads purge automatically, and granular permissions keep sensitive rent, owner, and tenant records restricted.

We integrate with leading property management platforms, shared inboxes, payment processors, and spreadsheet workflows. Need a specific integration? Visit our pricing page.

Rent nudges and maintenance triage kick off within minutes of an event. Overnight coverage keeps after-hours issues from piling up.

[09] get-started

Run your portfolio with an agent on duty 24/7

Request an invite, or walk through the platform with our team. No credit card required to explore.
Talk to our team