TRIGGERS + INPUTS
Leads, messages, forms, records, schedules and system events.
Explore how Dreamize AI Agents receive signals, make bounded decisions, act across approved systems and bring humans into the workflow.
Every system is different, but the architecture follows a practical pattern: receive approved inputs, understand context, apply rules, act within permissions, follow up and escalate.
Leads, messages, forms, records, schedules and system events.
Context, business rules, priority, next step and exception handling.
Responses, updates, tasks, bookings, alerts, delegation and follow-up.
Approval gates, escalation, handoff and intervention where required.
Responds, qualifies and advances opportunities while your sales team focuses on conversations that need a person.
Pricing, offers, sensitive claims and final deal decisions can remain behind human approval gates.
A property lead arrives after hours. The agent understands the requirement, checks the approved qualification rules, records the opportunity, prepares the next response and alerts the right broker when the lead is ready.
Provides consistent first-line service, completes routine requests and escalates the moments that require judgement or empathy.
Complaints, exceptions, refunds and sensitive customer situations can be routed directly to a person.
A customer asks about availability. The agent identifies the request, checks the permitted source, offers approved options, records the booking and escalates if the request falls outside policy.
Coordinates repetitive internal work across systems so teams can spend less time checking, copying and chasing.
High-impact changes, external communication and policy exceptions can require explicit Human Review.
A project status changes. The agent checks dependencies, updates the internal task plan, alerts the responsible people and raises an approval request before any external commitment is made.
Supports opportunity discovery, research, outreach preparation and consistent relationship follow-up.
Outbound messages can stay as drafts until a team member reviews and approves them.
The agent finds a company matching the approved criteria, explains the buying signal, prepares a tailored introduction and queues it for a business-development manager to review.
Combines the right reasoning, integrations and controls for a repeatable workflow that does not fit a standard role.
Permissions are limited to the workflow. New actions or systems are added deliberately, not assumed.
A custom agent can coordinate an internal content operation: read the brief, prepare assets and task assignments, monitor progress and stop at defined approval gates before publication.
The goal is reliable operational capability — not unrestricted access or automation for its own sake.
A focused workflow is easier to test, measure and improve before expanding.
Agents receive only the systems, data and actions required for the job.
Exceptions and sensitive decisions need a clear owner, not vague autonomy.
Pilot and shadow modes let teams compare behaviour before controlled live operation.