AI employee · IT & database operations
Agents that prove your scheduled jobs did something, hunt the slow queries before users feel them, and lock the database down by default — running on your infrastructure, under your control.
100%
Platform uptime
Most monitoring says a server is up. This says the work actually got done.
The wedge
A scheduled job that reports success and moves nothing
A query that got slow last Tuesday and nobody noticed
A certificate, an endpoint or a disk found by a customer first
We run our own fleet across two clouds, so the monitor checks what a job actually did — not whether it exited cleanly.
The agents
All six watch the same fleet — the same containers, the same databases, the same public endpoints — so a query that gets slow, an index that fragments and a job that quietly does nothing all surface in one place, not three different dashboards.
Catch the job that runs, exits zero and does nothing.
Users notice the speed before IT reports the problem.
Indexes rebuilt on schedule, without a DBA staying up.
The cheapest control between your data and an exfiltration attempt.
Alerts on degradation, not only on outage.
Business users query production safely, in plain English.
What you get back
The agents report what actually ran, what it changed and what it missed — the job that exited zero without writing a row, the query that got slower this week, the index nobody added.
Ready to see it in action?
Point us at one scheduled job — we'll show you what it actually did last night.
Or call +91 95525 86428
Proof
35+
AI agents running in our own production
Questions
Conventional monitoring answers “is the process running”. These agents answer “did the process accomplish anything” — how many messages went out, how many records were purged, how many files actually moved. A job can report success indefinitely while doing nothing, and nothing in a standard uptime dashboard will tell you.
Only where you allow it. Index maintenance and query optimisation can run in recommend-only mode, with every proposed change reviewed before it is applied. Actions an agent does take alone are reversible or logged.
Yes — standard containers on your cloud or ours, your choice. Your data never trains a public model, and the audit log is yours.
The agents keep running. They are standard containers on infrastructure you control, and on the Agent Partner engagement the source code and IP transfer to you.
Under 30 days in most cases. It is budget-defensible without a board-level AI conversation, because it either reduces a bill you are already paying or catches a failure you did not know you had.
Free presentation · 13 slides · PDF
The presentation we walk boards and CXOs through — thirteen slides on what deploying AI agents actually involves, from the roles to the guardrails to the commercials.
No cost. Work email and organisation only.
We will show you what it actually did last night — and what a fleet monitor would have caught.
Or call +91 95525 86428
