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Launch Plan
Software Deployment Workflow
[YourCompany.com] · IT Department · Prepared by FullSpec · [Today's Date]
This Launch Plan covers everything you need to know about how your Software Deployment Workflow automation is built, tested, and handed over. It is written for the process owner, not a developer. FullSpec handles all technical build work end to end. Your role is to provide access to your existing tools, confirm one configuration decision before the build starts, and review the results at the end. Nothing in this document requires you to write code or manage any infrastructure.
01What you're launching
Today, every software deployment at your organisation runs across nine manual steps involving developers, IT ops, and the IT lead. Someone checks test results in GitHub, manually creates a Jira ticket, chases the IT lead for approval over Slack, edits environment configuration by hand in Confluence, triggers the deployment script, watches Datadog for health signals, notifies the team, updates the Jira ticket, and files post-deploy notes. Any one of those steps missed or completed out of order can push broken code to production or leave the team completely unaware a release has happened. The automation replaces eight of those nine steps with three coordinated agents, leaving only the IT lead approval click as a deliberate human control. The result is a gated, auditable deployment flow that starts the instant a pull request merges and closes itself out in Jira and Slack without anyone babysitting the pipeline.
Process
Software Deployment Workflow
Trigger
A pull request is merged to the main branch in GitHub
Final output
A Slack deployment summary posted to the team channel, Jira ticket closed with timestamp, and a PagerDuty incident raised automatically if health checks breach thresholds
Agents being built
3 agents: Deployment Gate Agent, Environment and Deploy Agent, Post-Deploy Monitor Agent
Tools involved
GitHub, Jira, Slack, Confluence, Datadog, PagerDuty
Volume
~12 deployments/month (approximately 180 automation runs tracked this month)
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02How the build works
FullSpec builds this automation in four sequential stages: Connect, Build, Test, and Launch. Each stage has a defined set of actions for FullSpec and a small set of actions for you. The stages run in order and cannot be skipped, because each one depends on the outputs of the last. The Standard build for this workflow is estimated at three to four weeks of business days, reflecting the moderate complexity of connecting six tools with API-authenticated agents and a gated approval loop.
Complexity level: Moderate (48 estimated build hours across three agents). Delivery window: 3 to 4 weeks of business days. The delivery clock starts at the close of Connect, not payment. Connect must be fully completed, all credentials confirmed and access verified, before the build timer begins.
1Connect
Estimated time: 2 to 3 business days
FullSpec
Send the credential request list for GitHub, Jira, Slack, Confluence, Datadog, and PagerDuty. Confirm the GitHub repo structure, Jira project keys, Datadog monitor names, and the Confluence config page location. Verify all API tokens grant the required scopes and flag any gaps before the build begins.
You
Provide API tokens, webhook URLs, and admin credentials for each tool listed in Section 03. Confirm which Confluence page holds the environment config table and which Datadog monitors the Post-Deploy Monitor Agent should watch. Answer any access questions raised by the FullSpec team within one business day.
2Build
Estimated time: 8 to 14 business days
FullSpec
Build the Deployment Gate Agent first: GitHub webhook trigger, CI check query, Jira ticket creation, and Slack approval message with approve and reject buttons. Then build the Environment and Deploy Agent: Confluence config reader, environment variable application, and GitHub Actions pipeline trigger. Finally build the Post-Deploy Monitor Agent: Datadog polling loop, PagerDuty alert trigger, Slack result post, and Jira ticket status update. Error handling and rejection paths are built into every agent.
You
No action required during the build phase. If FullSpec identifies a credential issue or a missing config value, you will receive a direct message at the support contact and are asked to respond within one business day to avoid delaying the build timeline.
3Test
Estimated time: 3 to 5 business days
FullSpec
Run three full deployment cycles in a staging environment covering a successful deployment, a failed CI check, and a rejected approval. Confirm all Slack messages, Jira ticket updates, Datadog polling, and PagerDuty alert triggers fire correctly. Resolve any failures before handing over.
You
Review the test summary report shared by the FullSpec team. Confirm the Slack approval messages look correct and the Jira tickets reflect the right statuses. You do not need to run any test commands yourself. If you spot something that does not match your expectations, raise it before sign-off so it can be fixed before go-live.
4Launch
Estimated time: 1 to 2 business days
FullSpec
Switch the automation from staging to your production GitHub repository. Confirm the live webhook is receiving events and the first real pull request merge triggers the full flow correctly. Deliver the runbook, credential handover pack, and any monitoring instructions to the IT lead.
You
Confirm go-live readiness with your IT lead. Ensure the IT lead knows to expect the new Slack approval message format instead of the previous ad-hoc messages from developers. No changes to GitHub, Jira, Slack, Datadog, PagerDuty, or Confluence are required on your side for go-live.
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03What FullSpec needs from you
FullSpec only needs access to your existing tools. No technical knowledge is required from you or your team. All credentials are used solely to connect the automation to the tools you already pay for and run. The table below lists exactly what is needed for each tool and when it is required. In most cases, everything is collected before or during the Connect stage so the build can start without interruption.
GitHub
A personal access token or GitHub App credential with repo, actions:write, and workflow scope on the target repository. Repository admin access is required for the one-time webhook setup.
Before Connect closes
Jira
An API token for a Jira account with permission to create and edit issues in the relevant project. The project key and board name are also required.
Before Connect closes
Slack
A Slack app OAuth token with chat:write, commands, and interactivity enabled. The app must be installed in the workspace and added to the approval and team notification channels.
Before Connect closes
Confluence
An API token for a Confluence account with read access to the environment config page. The full page URL or page ID and the space key are required.
Before Connect closes
Datadog
An API key and application key with read access to monitors. The names or IDs of the specific monitors the Post-Deploy Monitor Agent should poll must be confirmed.
Before Connect closes
PagerDuty
A PagerDuty Events API v2 integration key for the service that should receive deployment health alerts. The escalation policy to use must also be confirmed.
Before Connect closes
One decision you must confirm before Connect closes: which Datadog monitors and thresholds define a failed health check for your deployments. The Post-Deploy Monitor Agent cannot be built without knowing the exact monitor names and the breach criteria (for example, error rate above 2% or p99 response time above 800 ms) that should trigger a PagerDuty alert. This is a business decision, not a technical one. Your IT lead (Marcus Reid) is the right person to confirm this.
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04Your role once live
Role
Ongoing responsibilities
What you no longer touch
You (business owner)
Review the weekly Slack deployment summary to confirm the automation is running. Ensure the IT lead clicks Approve or Reject in Slack for each deployment request, as this is the one deliberate human control in the flow. Update the Confluence environment config page whenever environment variables change, so the Environment and Deploy Agent reads the correct values. Notify the FullSpec team at support@gofullspec.com if a new repository or environment needs to be added to the flow.
Manually creating Jira deployment tickets. Chasing the IT lead for approvals over ad-hoc Slack messages. Watching the Datadog dashboard after every deployment. Posting deployment result messages to the team channel by hand. Updating Jira ticket statuses at the end of each release.
FullSpec
Monitor automation health and alert you if a webhook stops firing or an API token expires. Apply any updates needed when a connected tool changes its API. Respond to support queries at support@gofullspec.com. Provide guidance if the process needs to expand to cover additional environments or repositories.
Not applicable. FullSpec does not own or control the deployment decision. The IT lead approval and the Confluence config remain entirely under your team's control.
05What success looks like
Timeframe
What to expect
Sign of success
Week 1
The first live deployment runs through the full automated flow. The Deployment Gate Agent fires on the first merged pull request, the IT lead receives a structured Slack approval message, and the deployment result appears in both Slack and Jira without any manual input.
At least one end-to-end deployment completes without a manual step being needed. The IT lead confirms the Slack approval message format is clear and usable. No missed Jira ticket updates.
Month 1
All 12 or so monthly deployments run through the automation. Approval turnaround drops from 30 or more minutes to a near-instant Slack button click. The team stops receiving ad-hoc deployment notifications and starts seeing consistent structured summaries in the team channel.
Zero deployments completed via the old manual process. Every deployment has a timestamped Jira record. The IT lead reports no missed approval requests. Roughly 7 hours of manual time recovered in the first full month.
Month 3
The automation is fully embedded in the team's release rhythm. Health check monitoring catches any post-deploy incidents automatically and PagerDuty alerts fire before anyone notices a problem manually. The Confluence config is the single trusted source for every environment variable applied at deployment time.
Approximately 87 hours of deployment admin time saved over the quarter. Post-deploy incident response time reduced because PagerDuty alerts fire within 5 minutes of a health check breach. 100% of deployments have a complete, auditable approval record in Jira and Slack.
Next step: contact the FullSpec team at support@gofullspec.com to schedule your Connect session. Have your GitHub repository name, Jira project key, and the name of the Confluence environment config page ready. The FullSpec team will send you a credential collection form before the session so Connect can close in a single meeting and the build clock can start.
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