AgentPing for sales and RevOps

Your enrichment stopped last week.
The list still looks full.

AI SDRs, enrichment and personalisation agents run thousands of times a day and nothing downstream can tell the difference between a stale record and a fresh one. AgentPing pages you when a sequence quietly stops, scores the messages your agents actually send, and shows what each campaign costs per contact, so pipeline stops depending on a black box.

spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Three ways a revenue workflow fails without telling you.

01

Enrichment stopped, nobody noticed

The nightly job exited cleanly and did nothing.

New accounts arrive uncategorised and unscored. Reps keep working the list as though it were complete, and the gap only becomes visible when someone asks why a whole territory looks empty.

02

Reps stop trusting the data

The scores got worse before anyone measured them.

Once a rep is burned by two bad AI-written summaries, they stop reading them. The tooling stays live, the usage quietly goes to zero, and the investment is written off as "the team did not adopt it".

03

Personalisation at list scale

Cost per email is small. The list is not.

Outbound multiplies everything. A slightly richer prompt across a large sequence turns into a real number, and without cost per contact there is no way to tell whether the extra context is earning its keep.

What RevOps needs to keep honest.

Cost moves fastest at outbound volume, but a weaker message or a dead sequence costs pipeline. One run record per send carries all three.

Cost per campaign and account

Attribute spend to the sequence, segment and account that ran it, so a runaway play is caught before the budget is gone.

spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Explore Spend

Message quality

Score the copy your agents send for on-brand, grounded, not-spammy output before it dents reply rates.

summariser · judge score↓ 4.2 to 3.8
  • cites a source pass
  • answers the question pass
  • stays on policy fail

Explore Verify

Sequences still running

Know the moment an outbound or enrichment job stalls or goes silent, not at the next pipeline review.

support-triage · schedulelive
support-triage missed its 14:00 run paged on-call · last ok 13:00 · 247 runs clean before

Explore Pulse

What does AI outbound actually cost us?
AgentPing prices every run server-side and attributes it to the campaign, segment and account that spent it. AI SDRs, enrichment and personalization run at high volume, so cost moves fast; you see which sequence or model is driving it instead of guessing from the provider total.
How do we keep message quality up at scale?
Score the output your agents send against a rubric in plain English: on-brand, factually grounded, not spammy. Quality is trended per sequence, so a prompt change that starts generating weaker or off-message copy shows up before it hits your reply rates or your domain reputation.
How do we know a sequence is still running?
Give each scheduled agent an expected cadence. A run that does not arrive in its window raises an incident and pages your channel, so a stalled enrichment job or a dead outbound sequence is caught in minutes, not at the end-of-quarter pipeline review.
Can we attribute cost and quality per campaign?
Yes. Tag runs by campaign, segment or rep and AgentPing rolls cost and quality up that way, so RevOps can see which plays are efficient and which are burning budget for thin results.

Know what your AI outbound costs and sends.

Track one outbound sequence and see cost per campaign, the quality of what it sent, and whether it is still running, within minutes.

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