Blackbird agents

Stop firefighting.
Start engineering.

AI agents that cut incident response time and reduce cloud costs while your team focuses on building.

Book a demoExplore the agents
The challenge

Your DevOps team is drowning

Too many signals. No clarity.

Your team has dashboards, alerts, and cost reports but no context. Cost spikes take days to trace. Alerts fire without telling you which service or config caused it. So reports go unread, alerts get filtered, and real problems hide in the noise.

The work nobody signed up for.

Slack is full of the same questions every day. When someone does dig into an alert or a cost anomaly, it's hours of manually correlating logs and tracing configurations. Your best engineers are doing repetitive investigation and support work and the repetition breeds task blindness, where things just get skipped.

The agents

Blackbird Agents

Fewer escalations. Lower cloud costs. Engineers focused on building, not firefighting. Each agent targets a specific operational drain, use one, or combine them for full coverage.

Incident management

From alert noise to actionable incidents

Hundreds of alerts, no context. The Incident Agent cuts through the noise. It investigates alerts automatically, gathers logs, metrics, and recent changes, determines severity, and escalates only what matters. Critical incidents arrive with a full report on root cause, impact, and suggested fixes. So your team can act immediately instead of investigating for an hour first.

Incident Report
P1 payment-service — 5xx rate > 15%
Root cause OOM kill on payment-worker-7b after deploy #3841 increased memory limit was not applied.
Impact ~1,200 failed checkout attempts in 12 min window.
Suggested fix kubectl set resources deploy/payment-worker --limits=memory=2Gi
Cloud cost optimization

From cloud costs to actionable code

Most teams only look at costs after the budget is exceeded. The FinOps Agent monitors spend continuously, traces anomalies to specific services and configurations, and delivers ready-to-apply infrastructure code changes. Not just a report that says something is expensive, but the exact Terraform update to fix it.

Cost Anomaly Detected
+40% us-east-1 EC2 — $4,280/day vs $3,050 baseline
Traced to ASG web-prod-asg scaling to 18 instances (max was 8).
Root cause Target-tracking policy threshold changed in deploy #2917.
Terraform fix
- max_size = 18
+ max_size = 8
- target_value = 30
+ target_value = 60
Cloud security

Continuous security scanning, automated compliance

Continuously scans for vulnerabilities and misconfigurations, maps findings to compliance frameworks like SOC2, HIPAA, and PCI-DSS, and delivers prioritized remediation plans with clear severity rankings.

Compliance Scan — SOC2
3 Critical 7 High 22 Passed
SOC2 CC6.1 S3 bucket logs-prod public access enabled.
SOC2 CC6.3 IAM user deploy-bot has inline admin policy.
SOC2 CC7.2 CloudTrail not enabled in eu-west-1.
Remediation 3 Terraform changes ready — View PR draft
Development support

An always-available engineering companion

Developers often run into similar questions and finding the right context takes time. The DevOps Agent responds to questions by pulling context from your docs, pipelines, and infrastructure to surface actionable answers, helping developers move faster while freeing up your senior engineers for higher-impact work.

#devops — Slack
DS How do I configure the staging pipeline?
BB Based on your deploy.yml and infra docs, staging uses the ecs-staging cluster.

To update the pipeline config:
aws ecs update-service --cluster ecs-staging --service api --force-new-deployment

Your current task-definition is pinned to v2.4.1. Want me to create a PR to bump it?
How it works

Intelligent automation, not rigid rules

Blackbird Agents plug into your existing tools: Slack, Jira, CloudWatch, your CI/CD pipelines, and billing data. When a trigger fires, the agent follows the same investigative path a senior engineer would, but faster and at scale.

1

Collect

The agent gathers context from across your stack: logs, metrics, code changes, cost data, resource configurations, and documentation. Not just "what happened" but the full picture surrounding it.

2

Analyse

This is where the value lies. The agent correlates findings, traces issues to specific services and configurations, identifies root causes, and evaluates impact. A cost spike becomes a traced root cause. An alert becomes a full incident report with impact analysis.

3

Act

The agent presents you with clear options. Generate a detailed report. Create a Jira ticket. Send a summary to a colleague. Deliver ready-to-apply infrastructure code. Or if you choose, let the agent implement the fix directly. You decide how far it goes.

Agents act, assistants suggest.
Blackbird Agents don't wait for instructions. They perceive, decide, and act autonomously, with human oversight where it matters.

Your engineers shouldn't be doing this work.

Learn which parts of your DevOps workflow AI agents can take off your team's plate and how to deploy them without disrupting what's already working.
Download our tech sheet
See it in action

From trigger to resolution

Triggers
Slack questions
"Why can't I merge?"
"Why did my deploy fail?"
"How do I onboard a new app?"
Jira issue updates
Status moved to "Done"
Ben left a comment
Priority changed to "Critical"
CloudWatch alarms
Synthetic check failed
Canary alarm triggered
CPU utilisation > 95%
Pipeline failures
deploy-staging failed at step 3
GitLab CI: build timed out
npm install: dependency conflict
Cost anomaly detection
EC2 spend up 340% today
Unused RDS instance detected
S3 transfer costs spiking
Scheduled triggers
Weekly cost report due
Nightly infrastructure audit
Monthly SLA review

Blackbird Agents

AI-powered operations platform

1

Collect data

Gathers context using pluggable tools: logs, metrics, code changes, cost data, and documentation

2

Analyse and reason

Correlates findings, identifies root causes, evaluates impact, and determines next steps

3

Take action

Selects and executes the right response: reporting, alerting, ticketing, or suggesting code fixes

Actions
Share reports
Detailed findings via Slack or messaging platforms
Create tickets
Jira, Asana, or other project management tools
Suggest code fixes
PR comments, fix suggestions, and remediation steps
Trigger on-call
PagerDuty, OpsGenie escalation when needed
Live demo

See it in action

Watch how our agents handle real cloud operations, from natural language queries to actionable insights, all in a conversational chat

Integrations

Connects to your entire stack

Blackbird Agents has an extensive tooling library that connects all your services to the agent.

AWS
PagerDuty
Slack
Jira
GitHub
Confluence
Kubernetes
Many more...
Why Blackbird

We've been in your shoes

Tailored to your workflow

No two setups are the same. Blackbird integrates with your tools, cloud providers, and platforms. We configure the agents around your way of working, not the other way around.

Secure and in your control

Your data stays yours. Blackbird deploys the agents inside your own cloud environment sensitive code, logs, and infrastructure data never leave your perimeter. You own everything, we just make it work.

Built by cloud engineers

Blackbird is a cloud-native consultancy. We've spent years debugging infrastructure, managing incidents, and optimising costs for SaaS companies the same challenges these agents now solve. That hands-on experience is baked into every agent.

Reduce costs. Increase uptime. Free your engineers.

Stop firefighting. Start engineering let Blackbird Agents handle the noise so your team can focus on building.
Book a demoTalk to sales
Frequently asked questions

Got questions?

Most teams are up and running within a day. We handle the integration with your existing tools Slack, Jira, AWS, PagerDuty, and more and configure each agent to match your workflows and escalation policies. There's no lengthy onboarding or training required.
Blackbird Agents are deployed inside your own cloud environment. Your code, logs, metrics, and infrastructure data never leave your perimeter. We follow strict security practices and can work within your compliance requirements, whether that's SOC 2, ISO 27001, or industry-specific frameworks.
Absolutely. Each agent is designed to work independently. Most teams start with the agent that addresses their biggest pain point often the Incident Agent or FinOps Agent and expand from there once they see the results.
Our primary focus is AWS, where we have the deepest integration. Azure and GCP support is available for core monitoring and cost analysis features. We're continuously expanding coverage based on client needs if you're multi-cloud, we can work with your setup.
Each agent connects to your existing tools and data sources monitoring platforms, cloud APIs, ticketing systems, documentation. When a trigger occurs (an alert, a cost anomaly, a developer question), the agent autonomously gathers context, analyses the situation, and either takes action or presents you with options. Think of it as having a senior engineer on-call 24/7 who never gets tired.