Home / Services / AI systems / Always-on operations agents
Service and operations
An operator that works while the team sleeps, and can show its work in the morning.
An always-on operations agent runs the scheduled jobs a business needs done every day, answers the team's questions in Slack, monitors the systems it is responsible for, and keeps a complete record of what it did and why. Ours runs the agency.
Who it is for
Built for the team that does this by hand.
Founders whose evenings are the operations department
Operations teams with a dozen recurring jobs that live in one person's head
Companies that want an agent on a server that is up when every laptop is closed
What it does
Always-on operations agents, by the job.
Runs the daily jobs
Reports pulled, digests written, records reconciled, files moved, reminders sent: the scheduled work a person does at seven in the morning or does not do at all.
Answers the team where they work
Questions in Slack about what happened, what is due and where something lives, answered from the systems it has read access to, with the source.
Monitors its responsibilities
Pipelines that did not run, feeds that went stale, a number that moved too far: raised to a person before it reaches a client.
Records everything it does
One standard: the agent knows its own activity without a gap. Every action and every message is logged, and a person can reconstruct any day from the log.
How it is built
The build, in order.
Every system here is scoped as one bounded workflow with a written success metric and a kill threshold agreed before the build. The steps below are the ones specific to this one.
List the recurring work
Every job that happens daily or weekly, who does it, what it reads, what it writes, and what goes wrong when it is skipped. The agent takes the ones with a clear input and a checkable output.
Grant access narrowly
Read access broadly, write access per system and per action, with credentials in a managed store that the agent cannot print. Anything that spends money or messages a client is a proposal.
Run on a server, not a desktop
A VPS, your cloud account or a container in your data centre, so the agent is up when laptops are shut. Every file it changes carries a backup and a one-line revert.
Review the log weekly
A rule that fires every day is a broken rule. A guard that wrongly refuses is worse than the bug it guards. The weekly review retires at least as much as it adds.
In production at Strataigize
We run this ourselves.
Chuck is the always-on agent that runs Strataigize's operations from a server that is up when every laptop is closed. He runs scheduled jobs, talks to the team in Slack and writes the daily digests. He also taught us the hard rules on this page: a guard that wrongly refuses is worse than the bug, an alert that fires every day is a broken alert, and a rule that lives somewhere other than the code path that executes it will eventually be skipped.
Governance
What a person still approves.
- Read access broadly, write access narrowly, granted per system and revocable
- Anything that spends money, messages a client or changes a credential is proposed to a person, never executed
- Every file it changes carries a backup and a one-line revert, and its log is complete by standard
The rest of the posture is published on trust and security: client-granted access you can revoke, credentials in managed stores, an AI governance summary aligned to the NIST AI Risk Management Framework, our subprocessors, and a DPA on request. We do not hold SOC 2 and we say so there.
Price
Published, not gated.
Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month. Every AI build starts with a $7,500 AI Opportunity Audit over two weeks that is credited toward the build if you proceed, and a pilot is one bounded workflow on your real data over 30 to 90 days with a written success metric and a kill threshold.
The full price list is on the pricing page, and the cost drivers, with the questions that expose a padded quote, are in how much AI agents cost in 2026.
Case studies
The work behind it, documented.
Strataigize Marketing
AI Agents for Business: The Operator Running Our Agency
Strataigize Marketing
How Our Marketing Agency Uses AI Agents to Automate Busywork
Questions
Always-on operations agents, answered.
What is an AI operations agent?
What does it run on?
How is this different from Zapier or Make?
Related
Where this connects.
AI workflow automation · AI agent development · AI production retainer
The other systems in the catalogue: lead qualification agents, outbound sales agents, customer support agents, document processing agents, internal knowledge assistants, ad optimization systems, client reporting automation, content engines, computer vision systems, mcp servers and agent-callable surfaces.
Teams we've helped grow
Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month
Real ranges, published. Ad spend stays in your own accounts.
See the full pricing table →Where this fits: see the Strataigize Growth System, the ladder every engagement runs on.
Talk to the build team about always-on operations agents
Name the workflow you want it to run and we reply within 24 hours with whether it is a fit, the bounded scope we would propose, and the payback math.
Start with one workflow.
A free 30-minute audit call with the senior team names the workflow this system should run first and what it should cost, whether you build it with us or not.
Book your growth audit →Canadian and looking at funding? How the BDC LIFT program works. Public sector? How we build for government.
Rated 5.0 on Clutch