The approval and audit layer for AI agents inside your revenue stack

A.S.T.R.A. is Mindlyft's agentic system for go-to-market execution. It reads the commitments in a customer conversation, drafts the actions those commitments imply, holds anything customer-facing or system-of-record for human approval, executes the approved action inside your own accounts, and records a reversible receipt on every write. It is how Mindlyft delivers Service as a Software: the work, finished, running inside the customer's own stack. The name stands for Agentic System That Runs Revenue Acceleration. It was previously called Navigator. A.S.T.R.A. is not a separate stack you migrate onto. It runs inside the tools your team already works in, under permissions you scope, and it never writes to a system of record without a person approving it first.

On most revenue teams the work a call creates scatters across five tools and survives on one person's memory. Nobody has a free hand to log it while the customer is still talking, so the specifics get remembered instead of recorded, and memory is lossy. By the next pipeline review you are reconstructing what happened rather than reading it. That gap is where revenue leaks quietly. Not in the conversation, which usually goes fine, but in the follow-through nobody owns.

Capture. Read the transcript and extract what was promised, decided, and owed. Commitments, not a summary. Draft. Turn each commitment into a specific action in the right tool. A stage change, a ticket, a recap email, a handoff post. Approve. Route anything customer-facing or touching a system of record to a person. Reversible internal writes can run on their own. Execute. Perform the approved action inside your own accounts, with the agent's identity scoped to what you allowed. Verify. Confirm the write landed, then attach a receipt that names the action, the approver, the time, and the way back. Every system A.S.T.R.A. runs has the same shape. The order matters, and the approval step is not optional.

The output of A.S.T.R.A. is not a document about your pipeline. It is a field that changed, a ticket that exists, a mail that went out, each one traceable. Illustrative shape of a receipt, not a customer record.

A gate, not a promise. Autonomy is a setting other tools ask you to trust. Here the gate is structural: the write does not happen until somebody says yes. Receipts, not logs. Every executed action is hashed, attributable and reversible, so an agent's work can be audited after the fact rather than taken on faith. Scoped identity. An agent touches only the accounts and fields you granted. Least privilege is the default, not a hardening step. Your model. Bring your own. The intelligence is swappable; the engineering around it is the part that is hard to replace. Your accounts. Everything is built inside your CRM, your automation tools, your repos. Cancel and it keeps running. Cross-tool by default. A commitment rarely lives in one system. A.S.T.R.A. updates every tool the rep works in, not just the CRM.

Customer Success Managers, Solutions Engineers, Technical Account Managers and RevOps leaders at B2B software companies whose teams live in Salesforce or HubSpot and lose promised follow-through between the call and the record. It is delivered as Service as a Software, GTM engineering on subscription: one flat fee per 4-week cycle for Acquire, Expand, or both, quoted on the free review call, unlimited requests, one active request at a time, weekly shipping, and no minimum term. It starts with the Free GTM Engineering Review: 30 minutes, a working session, not a sales call. A.S.T.R.A. works inside Salesforce, HubSpot, Jira, Gmail, Slack, Google Calendar, Zoom, Gong, Apollo, Clay, n8n, Zapier, Make, PostHog, Amplitude, OpenAI and Anthropic.

The Free GTM Engineering Review is 30 minutes, a working session, not a sales call. You leave with where your company's knowledge lives today and where promises leak, the first systems we would build, in order, and a straight answer on whether it is worth doing now. Sometimes the answer is not yet, and we say so.