AI leading from strategy to execution
Structure it with the agent that already has the context
Describe your goal in plain language, answer the GTM Agent's questions, and receive Projects, Playbooks, and other definitions pre-filled with the knowledge your company already has on record.
Talk to the agent where execution happens
Access the chat with the GTM Agent from anywhere, pick up conversations at any time, and receive answers that already account for Project development and Program decisions in real time.
Main Project chat
Available across multiple screens, consolidating what was discussed in each item and what comes from the Program and Workspace, with accumulated context from the entire initiative.
Debate on results
Chat with individual Analytics cards to understand results and root causes, then initiate new actions or tasks in response to the data.
Signals that turn into actions
Evaluate each insight and feedback directly within the item to determine the necessary response and trigger a corresponding new action or task.
Execution that evolves with results
Identify across Playbooks, Actions, and Tasks what holds the result up and what stalls it, to adjust the execution in use or derive new initiatives with the lessons already built in.
Understand where and when to act first
Receive operational and strategic adjustment proposals as actions progress, review the underlying premises, and make informed decisions based on expected impact and timing.
Proposals with full operational visibility
The agent cross-references data from Projects, Programs, and Workspaces with execution data to propose the operational, tactical, or strategic adjustments the moment requires.
Origin traced to the conversation
Each item is linked to the conversation that triggered it, allowing you to review the full reasoning before accepting or rejecting it.
Recommendation premises
Each proposal shows the facts the AI relies on, from the Project's strategic context to what the operation has already delivered in results.
Stated impact and timeline
Each item includes its severity, the KPI it aims to move, the expected impact, and the timeframe, prioritizing the queue by weight and urgency.
Control the agent's level of autonomy
Every AI-generated recommendation is tied to a logged decision, allowing you to scale agent autonomy as trust grows and audit all actions at any time.
Decision at every stage
Every item goes through Pending, Under Review, and Applied, advances only by the decision of a named person, and leaves a record of every acceptance, postponement, and rejection in the History.
Autonomy defined by the company
The platform controls the extent of the agent's authority based on global settings, including guided mode, where every application requires manual approval before taking effect.
See the decision turn into guided execution
The recommendations accepted by the workstream automatically reach where the work happens, keeping the decision and execution linked by the same record.
Traceable execution
Once a suggested item is accepted, it becomes an action or task within the project, already linked to the recommendation that originated it and the team responsible for its execution.
Adjusted priority and Playbook
The decision changes the order of the workstreams or the structure of the Playbook in use, and the adjustment takes effect for all subsequent actions.
Recorded knowledge
The choice and the reasoning become a searchable record, available for the company's future initiatives.
Deliver results in the form of a conversation
Beyond the team operating the platform, leadership and management monitor the same operation through conversations and reports directly on their phones, each at the level of depth their routine allows.
Executive level
They track results and discuss performance by conversation, on the platform or on WhatsApp, reading and acting on the information directly.
Management level
They receive the same conversational summary and turn conclusions into tactics, actions, and tasks, with access to screens if they want to dive deeper into the details.
