Day 1-2
Triage one AI workflow, define failure modes, and choose the narrowest money-saving loop.
Fixed-scope AI operations rescue
Stop letting brittle AI workflows burn operator time.
Empyer turns one expensive, stalled, or risky agent workflow into a managed operating loop with memory, evidence, cost controls, approval gates, and a human-readable weekly report.
Sprint range: $7,500-$25,000. The $100k path is four serious rescue customers, not thousands of low-intent clicks.
Rescue sprint
One workflow, controlled
14 days
TriageWhere the AI loop loses money or trust
ControlApprovals, spend limits, secrets boundaries
EvidenceLogs, checks, screenshots, issue packet
RecoveryRestart path when the model or tool fails
$7.5k
minimum serious sprint
$25k
rescue + operating loop
4 wins
$100k monthly target
What gets fixed
The sprint leaves behind an operating loop, not a slide deck.
One production or near-production AI workflow mapped end-to-end.
A controlled runbook for memory, handoffs, approvals, QA, and recovery.
Cost and failure points separated from normal status noise.
A weekly operator report your team can use without reading raw agent logs.
Best-fit buyers
You already use agents, LLM workflows, AI support, AI coding, or AI ops.
The workflow matters enough that one failure can waste days or lose revenue.
You need control and evidence more than another prompt pack.
A $7.5k-$25k fixed sprint is rational if the loop gets stable.
Security first
Move fast without handing the model the keys.
The offer is built for AI systems that need production discipline: minimal data collection, explicit approval boundaries, redacted evidence, and abuse testing before public exposure.
No blank-check agents. Spend, credentials, legal, banking, customer commitments, production unlocks, and destructive actions stay human-approved.
No public chatbot is required for the sprint. If a buyer later wants one, prompt-injection and abuse tests happen before launch.
No raw secrets in reports. Evidence is summarized, scoped, and redacted before it reaches non-technical operators.
Day 3-9
Install task memory, run evidence, approval routing, cost tracking, and recovery behavior.
Day 10-14
Hand over an operator report, renewal recommendation, and next paid-sprint options.
Score capture
Request AI ops rescue triage
Send the score and the workflow that keeps stalling. Empyer will use it to scope a narrow Managed AI Operations pilot around the highest-leverage gap.
Current score
0/ 60
Bring the AI loop that is already costing you money.
If the fit is real, Empyer scopes a paid sprint around one measurable business outcome. If it is not, the triage reply says so directly.
