She's seen this failure before. She wrote the runbook.
Time to fix: ~90 seconds. She is ready.
⛔ ACCESS DENIED
→ TICKET #48291 filed to Platform Ops · Priority: CRITICAL · Position in queue: 7 · Est. response: pending…
47minutes of dead air
$380,000lost ad revenue
The monster didn't win because it was strong.
It won because the hero wasn't allowed to fight.
0:00
Waiting on ticket
$0
Ad revenue lost
90 sec
Maya's fix — locked away
The Problem
Every M&E company on AWS has this same bottleneck
🏗️
Complex infrastructure
Live video ingest, AI metadata enrichment, FAST schedulers, CDN edge. ECS, Lambda, multi-region. 50+ engineers across ops teams.
🚧
Centralized operations
Every deploy, rollback, and log pull flows through one platform team — spending 80% of their time on routine tickets.
📈
It's getting worse
AI-assisted dev accelerates code output 40%+. Devs wait 4.2 hrs for routine deploys; incidents take 2+ hrs across handoffs.
📺
Existential stakes
In M&E, downtime during live events is dead air. Dead air = no ads = hundreds of thousands lost per hour.
The Scale · Quantified at Penguin Random House
One customer. One vertical-wide pattern.
$0M
Annual operational inefficiency at PRH
0
VMs — platform team drowning in tickets
0
Payback period if solved
40+ M&E East accounts × $2.4M = $100M+ addressable opportunity
Let's Rewrite That Story
What if Maya — the hero who knows the fix — could execute it herself, in 90 seconds, not 2 hours?
Full governance. Full audit trail. Zero risk of touching infrastructure she shouldn't.
What if the hero had the key all along?
That's what we built.
The Solution · ShipIT
The MediaOps Agent — a multi-agent pipeline on Amazon Bedrock
STEP 1💬
Natural Language
"Deploy metadata-enrichment-api to staging." No console expertise needed.
➜
STEP 2🛡️
Permission Agent
Checks IAM scope before execution. No → blocked & logged. Yes → proceed.
➜
STEP 3⚙️
Execution Agent
Pre-validated MCP tool calls against CodePipeline, CloudWatch, ECS, CloudFormation.
➜
STEP 4✅
Validation Agent
Health checks post-action. Latency normal? If not → auto-rollback.
➜
ALWAYS📜
Audit Trail
100% of actions logged — user, timestamp, service, outcome. Compliance-ready.
⬢ Running on Amazon Bedrock · Orchestrated via Model Context Protocol (MCP)
Not a chatbot. Permission-aware agentic ops — a different architecture from Rundeck, PagerDuty, or ChatOps.
The Revenue Motion
Two paths to AWS attainment
PATH 1 · CONSUMPTION GROWTH
Bedrock API calls on every interaction — every deploy, log query, rollback.
Self-service velocity → more deployments → more ECS / EKS / EC2.
Freed platform capacity → the stalled VMware-to-AWS migration finally runs. Hundreds of VMs pulled forward.
Aurora modernization accelerates; CloudWatch & CloudTrail expand for audit.
PATH 2 · PROSERVE PIPELINE
2-week POC at $50–100K per customer through ProServe.
Per-customer MCP configs — not a platform rebuild. Ongoing ProServe attach.
Land & expand: DevOps today → "Can we do this for SecOps? Data pipelines? ML?"
SecOps · DataOps · MLOps — each on Bedrock, each consuming more AWS.
🚪 The Gateway Strategy — ShipIT is the front door to a broader AWS DevOps Agent platform play.
Proven · 90-Day Pilot at Penguin Random House
6 application teams. Real numbers.
0%
Ticket reduction
0x
Faster deployments
0%
MTTR reduction
0
Cross-application access violations
$0M
Projected annual value
The platform is built. The architecture is proven. Next customer: 90 days.
Better Together · The AWS DevOps Agent Question
"Aren't you competing with AWS DevOps Agent?" No — we're the other half of it.
AWS DEVOPS AGENT · GA MAR 2026
Investigates what broke
For the SRE / platform team — the experts
Autonomous incident response the moment an alert fires
Root-cause analysis & proactive prevention
Runs for hours, unattended, after something breaks
75% lower MTTR · 94% root-cause accuracy
Fixes the night the monster wins.
+
SHIPIT · MEDIAOPS AGENT
Executes the fix safely
For the developers who shouldn't need the SRE team
Self-service deploy, rollback, restart — before a ticket exists
IAM-scoped guardrails give safe access to non-experts
Human-in-the-loop: production requires approval
47% fewer tickets — the ones DevOps Agent never has to see
Makes sure the monster never wakes.
Deploy them together and the platform team is both faster at the incidents that happen — and has 47% fewer of them to begin with. Different persona, different moment. No overlap — pure addition.
Live Demo · Simulated Walkthrough
⬢ MediaOps Agent
CONNECTED
MediaOps Agent
Hi! I'm your DevOps agent. I can deploy, roll back, restart services, and pull logs & metrics — within your team's permissions. What do you need?
Role separation maps to content domains — Live Ops, Content Platform, Distribution. Each team is sovereign over its own services. No one touches another team's infrastructure.