Blog — page 8
Notes on
agentic GTM.
Short arguments about how revenue work is changing — and what it takes to run agents responsibly once it has.
Posts, page 8
Long-horizon revenue agents: how to govern work that runs for days
A long-running agent needs more than memory. It needs an operating contract that survives pauses, approvals, changed data and recovery.
ReadMulti-agent orchestration for GTM: designing safe handoffs across revenue teams
Adding agents does not remove handoffs. It makes the quality of each handoff contract more important.
ReadCRM write safety for AI agents after HubSpot’s 2026-09 API change
A valid API request can still violate the rules configured in the customer portal. Safe agents discover and validate those rules before writing.
ReadRevenue AI agent observability: what to log, measure and review
The final answer is not enough. Operators need the evidence chain that explains how the workflow reached it.
ReadRevenue AI exception handling: retries, escalations and recovery without duplicate work
The safe response to a failure depends on what committed, what changed and whether the next attempt can be proven idempotent.
ReadHow to evaluate a revenue agent before it can write to CRM
A good demo tests the happy path. A production evaluation tests missing context, changed rules, duplicate retries and human overrides.
ReadWhich sales forecasting method can your data actually support?
The best method is not the most advanced one. It is the method whose assumptions your current data and operating cadence can defend.
ReadRenewal forecasting needs its own model: a practical revenue guide
A renewal has an installed relationship, contract clock and usage history. Its forecast should reflect that evidence.
ReadBuying-stage progression vs. pipeline attribution: what marketing can actually prove
Stage movement can guide action. It does not identify a person or prove that a campaign caused pipeline.
ReadSee how the work gets done.
Explore how agents prepare work across your revenue teams, and how people review it, guide it and decide what happens next. Fictional data. Real product.
Explore the demo