AgentPing for automation agencies

Know your client workflows
are still running.

You build AI automations and hand them over, but you are still on the hook when one goes quiet. AgentPing watches every client workflow in one place, pages you when one misses, and gives you the cost and uptime record to prove the retainer is earning its keep.

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

What agencies need across every client.

One console for every client workflow. Reliability when it matters most, cost you can bill back, and quality you can stand behind.

Uptime after handover

Every scheduled workflow reports in. A missed run pages you before the client opens a ticket.

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

Explore Pulse →

AI cost per client

Attribute spend to each client, priced from a provider rate card, ready to pass through or price in.

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 →

Output you can stand behind

Score the output of client agents so a quiet drop in quality does not become a lost account.

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

Explore Verify →

How do agencies monitor client AI workflows after handover?
Each client workflow reports a run event to AgentPing. You get one place that shows whether every client automation ran on schedule, what it cost, and whether the output held up, without logging into a different stack per client.
How do we catch a client workflow that fails silently?
Give each scheduled workflow an expected cadence. A run that does not arrive inside its window raises an incident and pages your channel, so you fix it before the client notices and your retainer takes the blame.
Can we bill AI cost back to each client?
Yes. Tag runs by client and AgentPing attributes spend per client, priced on our servers from a provider rate card. You get a defensible AI cost figure per client to pass through or fold into your pricing.
Can we prove the workflows are healthy?
Run history and schedule freshness give you the evidence: how many runs landed clean, when the last one ran, and which incidents were caught and resolved. It turns "trust us" into a record you can show.

Stop client workflows failing in silence.

Add one client workflow, give it an expected cadence, and let AgentPing tell you the moment it misses.

Track your first AI workflow

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