The AI GTM engineer
Your GTM engineer, as software. Talk to your stack. The work ships itself.
Command Salesforce, HubSpot, Jira, Gmail, and Slack in plain English. Dispatch Hunter, Farmer, SE, and CSM agents onto your accounts. Approve the post-call follow-through before you're back at your desk — every action gated, every action receipted.
Think Cursor, for GTM teams · 96% execution success · a receipt for every action
Add the handoff note, update the opportunity next step, send the follow-up email, and post the internal Slack briefing for GovEdge Solutions.
Pre-sales handoff note on the GovEdge opportunity with the SE call summary and next actions.
Set the next step to schedule a security review meeting with the prospect.
Concise follow-up to the primary contact confirming the handoff and proposing next steps.
Notify the internal team that the GovEdge pre-sales handoff is complete.
One command layer
Five tools per customer, collapsed into one surface.
Anyone on the account can run the call — AI in the room captures every commitment. Navigator drafts the work across your connected tools; your team approves, edits, or runs it. The admin loop is automated, and the humans go solve the hard problems.
MINDLYFT
one command layer · every tool connected
Every tool — even the ones without an API or MCP server yet
SalesforceSlackSalesforceSlackIf your team uses it, Navigator can operate it — regardless of how the vendor exposes the surface.
The agent fleet
Four GTM engineers, always on. Dispatch them onto any account.
Every agent is scoped to its own job and its own tools, starts fully human-gated, and earns autonomy from your real approval history — a prospecting agent can't touch product analytics, a CSM agent can't file engineering tickets.
Agents
Next run
Today · 2:30 PM
Last run
10:15 AM
Success rate
96%
Last run completed — processed 12 accounts, 8 signals.
Commitments · 3
Stage update
Proposal
Internal ticket
SSO requirement · internal team
Stage update
Closed Won
Prospecting
Hunter
Researches target accounts and drafts signal-backed opening outreach — grounded in real account data, not a template.
“Run Hunter on the fintech list — draft openers from each account’s latest signals.”
Expansion
Farmer
Finds the one expansion vector per account and proposes the next move, with the evidence attached.
“Put Farmer on my top 20 — where is the expansion opening in each?”
Technical triage
Solution Engineer
Triages technical questions into the right ticket, doc, or internal loop-in — filed where engineering actually works.
“Have the SE agent triage everything technical from this week’s calls.”
Retention
CSM
Watches renewals, ARR, and usage to flag at-risk accounts and propose check-ins before the risk becomes a churn call.
“CSM agent: which renewals this quarter show usage drop-off?”
Value
5–10 hours per rep, every week — back on the customer.
Post-call admin is 30–60 minutes of swivel-chair work after every call. Navigator collapses it to a 90-second review. Your reps stop dropping commitments. Your accounts stop slipping through the cracks.
88% of enterprise AI agent pilots never reach production — top blockers: evaluation gaps, governance, reliability.
— MIT NANDA, 2025
Navigator is built for the 12% that ship: single-workflow scope, binary success criteria, audit trail, human-in-the-loop gate for the first 60–90 days per account.
Quick estimate
Three inputs, rough order of magnitude.
Hours saved across the team / week
20
That time, monthly
$6,928
Assumes ~40% automated at $80/hr fully loaded. We tune this with you on a call.
What your AI GTM engineer does
Four things, after the call.
Post-call follow-through is the wedge. Under it sits the full job of a GTM engineer — executed as software, gated by your approval.
Execute · read & write
Drafts and runs the ticket, CRM update, and follow-up across Jira, Salesforce, HubSpot, and Gmail — approval-gated. API-first and MCP-native, with resilient browser automation for the long tail, so it runs even where a tool has no API.
Research & intelligence
Always-on agents compile the account before the call: product usage from Gainsight, PostHog, and Amplitude, plus the internal threads.
The agent fleet
Hunter, Farmer, Solution Engineer, and CSM agents run continuously — one proven workflow, applied to every account.
Security & trust
No data retention by default. A tamper-evident audit trail and a client-debuggable receipt for every action.
Security & trust
Process the data. Don't keep it.
No data retention by default. Every action lands in a tamper-evident, cryptographically chained audit trail with a client-debuggable receipt — see exactly what ran, where it stopped, and tune it with a prompt.
Built for the controls regulated buyers in FinTech and healthcare ask for.
3/4 sent · 1 undone
↺ rolled back 1/1 actions
End-to-end
23.8s
Real writes
3
Copy-pastes saved
12
Started
03:36
Audit trail · 3 of 4 steps
Proof
One prompt. Multiple systems. Real execution.
Navigator is designed to write to real systems (with permissions and approval), not simulate workflows in a demo layer.
Update Salesforce opportunities and notes
Executed through connected tools, scoped permissions, and approvals.
Create Jira tickets with real context
Executed through connected tools, scoped permissions, and approvals.
Draft Gmail follow-ups and next steps
Executed through connected tools, scoped permissions, and approvals.
Pull product usage signals (e.g., PostHog)
Executed through connected tools, scoped permissions, and approvals.
Adoption
One sprint. One workflow. In production.
You don't rip anything out. We pick the one post-call workflow that leaks the most time, wire it to the systems you already use, and put it live behind approval — inside a week.
Days 1–2
Pick the workflow
We map your highest-leakage post-call workflow and the systems it touches.
Days 3–4
Wire and draft
Navigator connects to your tools and drafts the plan against real accounts.
Day 5
Live behind approval
Your reps run it with one-click approval, receipts, and rollback from day one.
Who this is for
One interface, for every seat that touches the account.
CSMs, Solutions Engineers, TAMs, AEs, and RevOps each lean on the same command layer — the account context, the drafted actions, and the receipts travel with the account, not with whoever happened to be on the call.
Top pain
Post-demo wrap-up requires filing Jira tickets for feature gaps, updating the Salesforce opportunity, and drafting the technical follow-up.
How Mindlyft helps
Navigator turns the demo transcript into a checklist of commitments, drafts the tickets, and coordinates the technical handoff in seconds.
Top pain
After a QBR, you owe the customer workarounds, bug escalations, and adoption plans scattered across multiple systems.
How Mindlyft helps
Navigator extracts the technical commitments from the call and drafts the exact Linear and Salesforce updates needed to follow through.
Top pain
Post-call work often means updating the opportunity, logging notes, drafting the next email, and keeping the technical team aligned.
How Mindlyft helps
Navigator keeps post-call follow-through moving across CRM, email, and Slack while the AE keeps control of judgment and tone.
Top pain
You are the glue between the customer and engineering. When you promise an update, it has to be tracked perfectly in Jira and the CRM.
How Mindlyft helps
Navigator provides an approval-gated flow that ensures every technical promise made on a call becomes an executed action across your stack.
FAQ
Common questions.
How post-call execution works, what it touches, and how approvals keep it safe.
Stop watching commitments slip. Run one workflow with us.
30 minutes. Your real stack, your real account, one real follow-up loop — the work you'd hand a GTM engineer, if you had one. We measure how many commitments you'd recover in a typical week.
Run it under a tamper-evident audit. Decide what to do with it.