Managed Operations is what you buy. AIONIQ is what we run it on.
Not a mock-up. Real agents in production across client estates, watched around the clock.
| Agent | Model | Calls / 24h | P95 | Success | Drift | $ / day | Status |
|---|---|---|---|---|---|---|---|
| PO Approval | Claude | 412k | 780ms | 99.2% | Stable | $1,840 | Running |
| Claims Triage | Claude | 286k | 910ms | 98.7% | Stable | $920 | Running |
| Onboarding Copilot | Claude | 198k | 640ms | 99.5% | Stable | $410 | Running |
| Fraud Sentinel | Claude | 154k | 1.1s | 97.9% | Watch | $560 | Running |
| Data Assistant | Claude | 121k | 520ms | 99.8% | Stable | $210 | Running |
| NOC Runbook | Claude | 73k | 880ms | 98.4% | Stable | $270 | Paused |
An agent can quietly get worse over time while everything still appears to run fine. It can take actions that need to be traced and approved. And its costs scale with every token spent. A conventional monitoring stack catches none of this.
AIONIQ watches four things, around the clock.
The runbooks, the automation and the guardrails came from running infrastructure, applications and security operations for clients over eleven years. They now cover agents too.
That library is what AIONIQ is. Everything else on this page is how it gets applied.
AIONIQ is operated end to end by Parkar and runs in your environment.
Your own cloud across Azure, AWS and GCP, and certified on Databricks and Snowflake.
The build uses the products you own where they fit, or the ones we bring. AIONIQ runs all of it the same way.
Your data, your outcomes and your audit trail stay yours. Nothing locks you in.
Accuracy slipping, a failed retrieval, a cost spike.
A named owner, around the clock.
Written for that agent during the build.
Back inside the threshold it was accepted against.
What happened, what changed, what we did.
It is why our largest accounts have stayed five to eight years.
Built on SAP and Workday, and running on AIONIQ ever since. Policy-as-code, hard human approval, full audit trail.
A client on AIONIQ for 12 months or more, and what changed after go-live. Drift caught, incidents fixed, token spend brought down.
Free, ten questions, four minutes.
Five days at a fixed fee, with a scorecard and a plan for the first wave.
A pod takes the first wave into production.
The same team runs it, for the long term.
Most enterprises can start with what they already run, once it is made usable by agents, with one partner accountable for the whole thing.