More throughput. Same governance. One platform.
One AI development platform across every team and every repo. Portfolio audit trail your CISO will sign off on. Throughput your CFO will fund.
A real portfolio audit-trail view across teams lands here.
What changes for you
Throughput is a number. Governance is a default.
AI didn’t make IC work easier — it made directing IC work the new bottleneck. Disco Parrot is the platform layer between the agents and the org.
One platform across every team
No AI tool sprawl. One audit surface, one governance model, one bill. Adoption stops being a per-team project.
Throughput you can report
Initiative cycle time, agent-turn velocity, plan-to-merge latency — measurable across the portfolio without instrumenting it yourself.
Governance as a default
Server-side credentials, ephemeral sandboxes, per-turn audit log — your CISO signs off in week one, not month nine.
A day in the life
From AI tool sprawl to directed throughput.
The engineering leader in 2026 is asked to "do more with AI" by the CEO and "approve fewer AI tools" by the CISO. The Disco Parrot day moves the leader from defensive answering to offensive direction.
8:00am
Daily metrics
Today
No portfolio-level view of AI work. Read team standup notes. Guess at throughput. Hope someone notices the CISO incident before you do.
With Disco Parrot
Open the portfolio dashboard. See initiative cycle time, plan-to-merge latency, and audit trail volume across every team. One screen.
9:30am
CISO check-in
Today
Field a question about which AI tools your teams are using. Three of five teams give different answers. Promise to "do a tooling audit this quarter."
With Disco Parrot
Open the audit trail. Every agent turn, every credential resolution, every file write — one platform, one log. Hand the CISO the dashboard.
11:00am
Hiring conversation
Today
Explain to the CFO why you need to hire two more senior engineers to keep up with feature backlog. Hope the AI ROI story holds up under scrutiny.
With Disco Parrot
Show throughput data: initiatives shipped per quarter, plans completed per engineer. Defend headcount efficiency with numbers.
1:00pm
Cross-team coordination
Today
Five teams. Four different AI workflows. Each has its own bills, its own admin overhead, its own onboarding doc.
With Disco Parrot
One platform, one bill, one SSO config, one onboarding flow. Cross-team patterns visible because everyone’s in the same audit trail.
2:30pm
Vendor management
Today
Renew Cursor for one team. Renew Copilot for another. Add Devin for a third. Track three contracts, three security reviews, three subprocessor lists.
With Disco Parrot
One vendor relationship. Customer-elected models on the back end via BYO-AI. ZDR / DPA terms with model providers stay your contract.
4:30pm
Quarterly planning
Today
Open Productboard. Stare at optimistic roadmap commitments. No way to measure realistic capacity. Promise what you might not deliver.
With Disco Parrot
Capacity grounded in audit-trail data: actual cycle time, actual plan completion rate, actual blockers. Commit to numbers you can stand behind.
Where Disco Parrot fits
We don't ask you to throw out your stack.
For each part of your day, Disco Parrot either replaces something that wasn't serving you, plugs into something that already works, or makes something existing measurably better.
Replaces
- checkAI tool sprawl. One platform across every team, every repo, every model.
- checkManual throughput reporting. Audit-trail data is the report.
- checkShadow-IT AI adoption. Sanctioned platform; CISO already signed off.
- checkPer-team vendor contracts. One bill. One security review. One sub-processor list.
Integrates with
- checkMicrosoft Entra ID + SSO. Existing identity model. Existing onboarding.
- checkGitHub Enterprise + Azure DevOps. Your code stays where it lives. Your review flow stays unchanged.
- checkAzure Key Vault. Tokens live where your secrets policy already says they should.
- checkYour SIEM. Audit trail exports to Splunk, Sentinel, Datadog, S3, Blob.
Improves
- checkDefensible AI ROI. Throughput data lets you defend headcount efficiency in the budget meeting.
- checkCISO conversation cycle. Audit + sandbox isolation + server-side credentials = sign-off in week one.
- checkCross-team coordination. One platform means one workflow, one onboarding, one set of patterns.
- checkRoadmap commitment quality. Capacity grounded in real cycle-time data.
The toolkit
The engineering leader toolkit.
Six surfaces designed to give engineering leaders a defensible answer to "more throughput" and "fewer tools" at the same time.
One platform, every team
No AI tool sprawl. One audit surface, one governance model, one bill.
Roll out once. Onboard new engineers once. The platform serves PMs, devs, QA, architects — they each see their persona-specific surface, but the underlying audit, identity, and credentialing is the same.
Portfolio audit trail
Every agent turn, tool call, file write — logged server-side, queryable across teams.
Filter by team, repo, time range, or initiative. Export to your SIEM. Forensics on the rare bad output is one query, not a Slack archaeology project.
Throughput visibility
Initiative cycle time, agent-turn velocity, plan-to-merge latency — without instrumenting it yourself.
Dashboards built into the platform. No data engineering project to extract throughput metrics. Defendable numbers for the budget conversation.
Server-side credentials
Azure Key Vault resolution, no client-side tokens, isolated per session. Your CISO signs off in week one.
Tokens never reach the browser or the agent context. Resolved at clone time, scoped per repo, discarded with the session. The /security page walks through the architecture.
BYO sandbox
Run agents in your Azure, AWS, or on-prem. Data never leaves your perimeter.
For regulated environments: deploy the sandbox fleet inside your VNet. Agents reach internal APIs and VPN-gated services without egress to a vendor cloud.
Integrates, doesn’t replace
GitHub, Azure DevOps, Bitbucket, Entra ID SSO. Your existing review and CI flows stay intact.
No platform migration. Existing branch protection rules, code review processes, and CI pipelines run unchanged. Disco Parrot is the orchestration layer, not a replacement stack.
Plays well with what you already use
Works with the tools you already pay for.
Bring your own AI model. Bring your own sandbox. See the security architecture →
Every agent turn, tool call, and file write is logged server-side. Credentials never reach the browser. Sandboxes are ephemeral. Architecture →
Plan, build, and ship software with AI. Across your whole team.