Marketing and growth

Launch Agent

It can plan campaigns, prepare briefs, review audiences, protect brand, measure results and recommend actions, focused on launches. It works with authorized system context, connected tools and verifiable evidence before closing or escalating a case.

Supports the team in launches: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

Schedule discovery

Signals, actions and outputs

This model keeps the agent from being just a conversation: it defines what it reads, what it can execute and what it leaves ready for the team.

Input signals

launches requests or alerts
launches operating data
CRM/CDP
consent

Connected tools

paid media optimizer
brand validator
campaign calendar
audience builder

Agent actions

Classifies the request within launches and determines urgency, owner and confidence level.
Checks paid media optimizer and brand validator before recommending or preparing an action.
Prepares drafts, tasks, alerts or updates so the team can act faster.
Hands off when confidence is low, there is financial impact, an external commitment, a policy exception or a decision requiring human approval.

Operating outputs

actionable launches summary with cited sources
recommendation with confidence, owner and next step
evidence ready for review, audit or operational follow-up

How the agent operates

The cycle starts with context, applies rules, executes actions and ends with reviewable evidence.

Reads context

Checks authorized sources, messages, documents or process data.

Reasons with limits

Uses guardrails, thresholds and policies to prioritize and decide next steps.

Acts or escalates

Runs an automation, prepares an answer or assigns the case to an owner.

Leaves evidence

Stores summaries, decisions, errors, files and session traceability.

Operating governance

Guardrails

Human approval for critical changes, sensitive external messages or financial impact.
Role-limited access; every lookup and action is audited.
Mandatory escalation when sources are missing, confidence is low or a policy exception is detected.

Channels

email platform
paid media manager
Slack/Teams

Human handoff

Hands off when confidence is low, there is financial impact, an external commitment, a policy exception or a decision requiring human approval.

Evidence

Each interaction can stay linked to session, execution, user, source consulted and proposed or executed action.

Applied real-world pattern

Based on real agents that connect customer data, personalize interactions, recommend next actions and enforce brand and consent rules.

CRM/CDP

email platform

web analytics

paid media manager

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SEO Agent

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Review Launch Agent with a real process

We validate sources, permissions, available tools and escalation criteria before proposing the first deployment.

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