Every agent action logged
What each agent we build read, wrote and changed.
How we work · What we build · Step 04
See what your AI did, and whether it helped
Every agent action we build is logged today, and a named person approves what buyers see. Storing those logs in your warehouse and joining them to results is being built.
Book a call30 min · no prep needed
What you're after
01
Trace any bad output
Find whether the research, the argument, the draft or the agent went wrong.
02
Proof of who approved what
Every buyer-facing action has a named approver.
03
An AI budget you can defend In progress
What your AI work produced, next to what it cost.
One run, as we're building the log
Illustrative. Companies, people and numbers are fictional. Rows marked (being built) are not running for clients yet.
| Time | Step | What happened | Who |
|---|---|---|---|
| 08:02 | Read | Pulled the account's history, the new-VP-Operations signal and the last three calls | Research agent |
| 08:03 | Read | Loaded the approved peak-season argument for this cluster | Research agent |
| 08:05 | Draft | Wrote a first email from the approved argument | Drafting agent |
| 08:05 | Check (being built) | Flagged a claim that isn't in the approved argument. Draft held. | Automated check |
| 08:06 | Redraft | Removed the claim | Drafting agent |
| 09:40 | Approve | Approved with one edit to the opening line | Priya S., SDR |
| 09:41 | Release | Sent from the rep's own inbox | Sequencer |
| Day 14 (being built) | Result | Reply joined to the run in your warehouse and counted in the play readout | Warehouse |
Logged today, and being built
A named approver on buyer-facing work
Nothing reaches a buyer without a named person's approval.
The lift on every play
Each play read against accounts that didn't get it, over the same weeks.
Our processLogs in your warehouse, joined to resultsIn progress
Each run stored next to your GTM data and linked to what the account did next.
Team-wide AI useIn progress
What your team does in Claude, ChatGPT and vendor AI tools, beyond the agents we build.
Cost and outcome per agentIn progress
Model and data costs next to the meetings and pipeline each agent touched.
How the log feeds the weekly review
Part of step 4, Keep improving.
- Step 011
Connect your data
Being built. Logs land in your warehouse next to your GTM data.
- Step 022
Prioritize by revenue impact
Being built. Usage and results show which AI work deserves more investment.
- Step 033
Ship into the tools your team uses
Logging is built into every agent and workflow we ship.
- Step 044
This is step 4
The weekly keep, change or retire review starts from the readout and the log.
Why nobody can say what your AI is doing
AI spread across tools
- Each tool with its own dashboard, or none
- Vendors keep the record of what ran on your data
- Adoption gets counted, results don't
- AI spend is the first line cut
AI you can trace
- Every agent action we build is logged
- Every buyer-facing action tied to a named approver
- Runs joined to results (being built)
- AI cost next to what it produced (being built)
Where to start
AI operating partnership
Telemetry will run inside the AI operating partnership and Managed Agents, where someone reads it every week.
Before you book
Is this surveillance of my team?
No. It records what agents did and whether it helped. The point is better plays, not watching people.
Does it cover AI tools you didn't build?
Not yet. Today every agent action we build is logged. Team-wide coverage is being built, and we'll show you where it stands.
Where does the log live?
Today, in the tools each agent runs in. We agree where at kickoff. One log in your warehouse, next to your GTM data, is being built.
Where's your line stuck?
Find out what your AI work produced
30 minutes. Bring a list of the AI tools and agents you run today.
Book a call