Embedded Support,
Not On-Call.
Around-the-clock administration and platform health for Jira, Jira Service Management and Confluence - run by engineers who sit with your team and know your instance, not a queue that meets you for the first time when something breaks.
Nobody Was Hired to Administer Jira
On most teams platform ownership is a side job held by whoever knows the most. It works until that person is busy, on leave, or gone.
The person who configured your instance has a delivery role too. Requests queue behind their real work, and the platform gets attention only when it breaks.
Schemes multiply, automations accumulate owners who left, and permissions loosen one exception at a time. None of it fails loudly - it just gets harder to change safely.
Upgrades, app reviews and cleanup sit on a list nobody owns. New Atlassian capability ships and goes unused because no one has time to evaluate it.
What It Takes to Keep an Atlassian Estate Running
Not a menu of options - this is the standing work of running an Atlassian estate. An engagement can start with any subset, but the list does not get shorter on its own.
One Hire Gets You One Person. This Gets You the Bench.
An Atlassian estate needs six or seven disciplines and rarely a full week of any one of them. Hiring for that means picking which gap you can live with. An embedded pod means you do not have to.
- Jira administrator
- Workflows, schemes, fields and the permission model.
- Service management specialist
- Queues, SLAs, request types and escalation paths.
- Automation engineer
- Rules, integrations and the scripts holding them together.
- Platform engineer
- Upgrades, environments, apps and performance.
- Access & security reviewer
- Least-privilege groups, access reviews and audit trails.
- Engagement lead
- The roadmap, the monthly review and your escalation path.
You get one point of contact, not seven. The routing happens on our side.
Every Product We Keep Running for Clients
Platforms We Already Run
Engagements where the work continued past go-live, in the clients’ own words.
Forcepoint’s Cloud Transformation: A Seamless Migration with Clovity
Forcepoint, a global leader in cybersecurity, faced challenges in managing its on-premises Jira infrastructure. As business needs evolved, their existing Jira Data Center setup…
Read the case study
Leveraging Atlassian Solutions to Transform Hashgraph's IT Ecosystem
Hashgraph, formerly known as Swirlds Labs, is a trailblazer in blockchain technology. With rapid innovation at the core of its mission, Hashgraph sought a modern solution to…
Read the case study
Customer Success Story: Empowering DSH with an Efficient Service Solution
California Department of State Hospitals (DSH) faced significant challenges in managing their complex project workflows and fostering effective cross-functional collaboration…
Read the case studyBefore You Hand Over Admin Rights
What does "embedded, not on-call" actually mean in practice?
Named engineers who know your instance, working to your calendar and reachable in your channels - not a rota that meets your configuration for the first time when a ticket arrives. It is the same model our delivery teams use on project work, applied to run-state. You get one point of contact; the routing across disciplines happens on our side.
What are your response times and coverage hours?
They are set per engagement and written into the agreement rather than fixed by plan here. Monitoring and support coverage is U.S.-led and around the clock; what a given engagement commits to depends on which systems are in scope and what your business actually needs overnight. We would rather agree that with you than publish a number you then have to negotiate down.
Where does the 99.9% uptime figure come from?
It is the platform uptime Clovity publishes for the estates we run, and it describes the Atlassian platform under management rather than a contractual credit. The uptime commitment that carries financial consequence is Atlassian’s own for Cloud, plus whatever is written into your agreement with us - ask for both in writing before you rely on either.
Is the AI health layer making changes to our instance?
No. Pulse AI reads and reports - org health, anomaly detection, alerting and the Pulse Score. Every change to your configuration is made by a person, through your change process. An anomaly is a prompt for an engineer to look, not an instruction for software to act.
Do you need full admin access to our instance?
We work at the least privilege the scope requires, through named accounts that are yours and revocable at any time. Actions are traceable to an individual, and access reviews are part of the monthly cycle - the same standard we apply to our federal and state work.
We have an internal Atlassian admin. Does this still make sense?
Often yes, and the shape changes. Where there is an internal admin we usually cover escalation, upgrades, app and vendor management and the improvement backlog, so your admin spends their time on the configuration decisions that need someone who knows the business. We are equally happy being the second pair of hands rather than the only one.
What happens if we want to take it back in-house?
You get what you would need to do that, throughout - runbooks, documented automations and current configuration notes are maintained as part of the engagement rather than assembled at the end. There is no state where leaving means starting from a blank page.
Ready to stop administering
and start improving?
A platform health assessment is the starting point. It tells you what state your Atlassian estate is actually in, and which plan the first ninety days should sit on.