Ship Faster with AI-Driven DevOps Automation
CoreTech AI deploys autonomous AI agents and enterprise DevOps practices to automate your CI/CD pipelines, infrastructure, observability, and incident response — so your team ships faster and operates with less toil.
Deploy Frequency
10x
Mean Time to Recover
-80%
The Complete DevOps Automation Stack
Six capabilities that cover your entire software delivery lifecycle — combining enterprise DevOps discipline with AI agents that handle the toil no team should do by hand.
AI-Powered CI/CD Pipelines
Automated build, test, and deploy pipelines with AI-driven code review, intelligent release gating, and zero-downtime progressive delivery.
AI Agents for Operations
Autonomous agents that triage alerts, execute runbooks, and auto-remediate incidents — handling L1 toil so your engineers focus on real engineering.
Infrastructure as Code
Terraform, Pulumi, and GitOps automation with AI-generated modules, drift detection, and policy enforcement across every environment.
Observability & SRE
AI-driven monitoring, anomaly detection, and self-healing systems that correlate signals, cut alert noise, and reduce mean time to recovery.
Cloud Automation & FinOps
Auto-scaling, workload scheduling, and AI-driven cost optimization across AWS, Azure, and GCP — eliminating cloud waste without sacrificing performance.
DevSecOps Automation
Security scanning, compliance-as-code, and policy enforcement baked into every pipeline shift-left — secure by default, auditable by design.
How We Help
A clear, four-step process from first assessment to ongoing operations — no fluff, no surprises.
DevOps Assessment
We audit your current pipelines, tooling, deployment frequency, lead time, and MTTR — no cost, no commitment. You get a clear picture of where the toil is and what's costing you the most.
Automation Roadmap
We design a prioritized DevOps automation roadmap tailored to your stack. We target the highest-impact wins first — CI/CD, IaC, observability, or AI agents — based on your real bottlenecks.
Build & Deploy
Our engineers implement your automation using enterprise-grade frameworks — pipelines, infrastructure as code, GitOps, AI agents, and observability — integrated with your existing toolchain.
Operate & Optimize
We don't disappear after launch. We provide managed SRE support, monitor DORA metrics, fine-tune automation, and continuously identify new opportunities to reduce toil and increase velocity.
Where AI Agents Take Over DevOps Toil
Real engineering bottlenecks across the delivery lifecycle — and the autonomous, stack-native automation we deploy to eliminate them.
Self-Healing Release Pipelines
The Bottleneck
Flaky tests, manual approval gates, and failed rollbacks keep engineers babysitting every deploy.
AI Agent Solution
AI agents gate each stage — auto-retry flaky tests, predict rollout risk from metrics, and roll back on SLO breach without human intervention.
Alert Triage & Auto-Remediation
The Bottleneck
On-call engineers drown in duplicate alerts and manually run the same runbooks for recurring incidents.
AI Agent Solution
LLM agents correlate signals across metrics, logs, and traces, deduplicate alerts, and execute runbooks for known failures — escalating only novel incidents.
GitOps Infrastructure Provisioning
The Bottleneck
Click-ops changes, environment drift, and no audit trail across staging and production.
AI Agent Solution
Infrastructure-as-code reconciled continuously via GitOps — every change is a PR, reviewed, versioned, and automatically applied on merge.
Predictive Autoscaling
The Bottleneck
Reactive autoscaling causes over-provisioning for peaks and lag during traffic spikes.
AI Agent Solution
ML models forecast load from historical patterns and pre-warm capacity ahead of demand, tightening SLOs while cutting idle spend.
Autonomous Cost Optimization
The Bottleneck
Cloud waste from oversized instances, orphaned volumes, and idle non-prod environments running 24/7.
AI Agent Solution
Agents continuously right-size workloads, schedule non-prod teardown, and auto-archive idle resources — with guardrails that protect performance.
Shift-Left Security as Code
The Bottleneck
Security findings surface late in the cycle, blocking releases and pitting dev against security.
AI Agent Solution
SAST, DAST, SBOM, and dependency scanning enforced as policy-as-code in every pipeline — vulnerabilities auto-triaged and patched before merge.
DevOps Automation in the Real World
Watch how CoreTech AI deploys AI agents and automation to transform a manual release and ops workflow into a zero-touch, self-healing pipeline.
Watch Demo
Prefer a live walkthrough? Book a 30-minute session with our team.
Book on CalendlyDevOps Playbooks for Tech-Driven Teams
Purpose-built automation and AI agent playbooks for engineering teams operating at scale.
SaaS & Software
Managed Service Providers
Cybersecurity
Cloud & Infrastructure
Data & Platform
FinTech
DORA-Grade Results
We measure success the way elite engineering teams do — deployment frequency, lead time, MTTR, and change failure rate. Below are the outcomes our clients typically see; your free assessment will show exactly where the biggest wins are for your team.
deployment frequency
Deploy More Often
Move from weekly manual releases to multiple safe, automated deployments per day with progressive delivery and instant rollback.
shorter lead time
Ship Faster
Cut the time from commit to production with automated build, test, and deploy pipelines that remove every manual handoff.
lower MTTR
Recover Quicker
AI agents and self-healing systems detect, diagnose, and remediate incidents before they become customer-impacting outages.
lower change failure
Fewer Failed Releases
Intelligent release gating, automated testing, and progressive rollouts catch bad changes before they reach production.
reduced cloud cost
Lower Cloud Spend
AI-driven right-sizing, scheduling, and auto-scaling eliminate cloud waste while keeping performance exactly where it needs to be.
DevOps Automation in Action
Real engineering transformations — measurable improvements in deployment velocity, reliability, and operational toil.
Zero-Touch Release Pipeline for a Series B SaaS Company
Before
Manual deployments: 45 min + 3 engineers per release, weekly outages and rollback fire-drills
After
Automated CI/CD: 8 min, zero-touch progressive rollout, zero unplanned downtime in 6 months
AI Incident Agent for a 35-Person Managed Service Provider
Before
On-call engineers triaging 200+ alerts/day, manual runbook execution, chronic alert fatigue
After
AI agent auto-remediates 70% of L1 incidents, engineers focus only on novel escalations
GitOps Overhaul for a Regulated FinTech Platform
Before
Click-ops infrastructure, no audit trail, environment drift and failed compliance audits
After
Fully codified Terraform + GitOps, every change versioned and reviewed, clean compliance audits
What Engineering Leaders Say
"CoreTech AI cut our deployment pipeline from 45 minutes down to under 8. The CI/CD automation they built has been running flawlessly for over a year — we deploy multiple times a day now."
Director of Engineering
Series B SaaS Company
"We were drowning in alert noise. Their AI ops agent handles 70% of our L1 incidents automatically — auto-remediation, runbook execution, the works. Our engineers finally focus on real engineering."
Head of Operations
Regional MSP
"The team brought enterprise DevOps discipline to our startup. What would've taken us 6 months to build internally — pipelines, IaC, observability — they delivered in 3 weeks."
CTO
FinTech Startup
Client names withheld at their request — verified references are available after your assessment call.
CoreTech AI vs. Hiring an In-House DevOps Team
Building an internal DevOps practice is slow and expensive. We give you elite automation without the hiring overhead.
Hiring In-House
CoreTech AI
Time to value
6–12 months to hire, onboard & build a DevOps practice
Live automation in 30 days or less
Cost
$150K–$300K/yr per DevOps engineer
Predictable monthly engagement, no hiring overhead
Expertise breadth
One or two specialists, narrow toolchain
Full team: CI/CD, IaC, SRE, AI Agents, Cloud
Risk
High — wrong hire sets your pipeline back months
Low — proven frameworks, fixed scope
Scalability
Rehire cycle every time needs change
Scale up or down on demand
Enterprise DevOps DNA, Supercharged with AI Agents
CoreTech AI was built by engineers who've run CI/CD, infrastructure, and reliability for enterprise organizations — and got tired of watching growing teams ship slowly because they couldn't afford a full DevOps practice.
We bring that same enterprise expertise — battle-tested automation frameworks, production-grade infrastructure, and real-world incident response — and supercharge it with autonomous AI agents that handle the toil no one should be doing by hand.
Our backgrounds span CI/CD engineering, infrastructure as code, SRE and observability, cloud architecture, and AI agent development. We've seen real production outages, real security incidents, and real scaling challenges — so you don't have to learn those lessons on your dime.
Every engagement starts with a free DevOps assessment: we audit your current pipelines and tooling, measure your DORA metrics, and show you exactly where AI agents and automation will deliver the highest impact before you commit to anything.
15+
Years Combined Enterprise DevOps & Cloud Experience
100%
Enterprise-Proven Automation Frameworks
Day 1
Free DevOps Assessment Included With Every Engagement
SMB
Enterprise Expertise, Right-Sized for Growing Teams
Build the Future of DevOps & AI Automation
We're growing our team of engineers, builders, and operators. Join us and help enterprise teams ship faster with AI-driven DevOps.
DevOps Engineer — AWS & CI/CD
Build and operate AI-powered CI/CD pipelines on AWS. Automate builds, tests, and progressive deployments with intelligent release gating and self-healing infrastructure.
DevOps Engineer — GCP & CI/CD
Own GCP-based delivery automation — infrastructure as code, GitOps, and AI agents that triage alerts and auto-remediate incidents across cloud-native workloads.
DevOps Engineer — Azure & CI/CD
Drive Azure DevOps pipelines, container platforms, and AI-driven observability — embedding security and automation into every stage of the delivery lifecycle.
Project Manager
Lead DevOps automation engagements end-to-end — from assessment to rollout. Coordinate engineering teams, manage timelines, and keep enterprise clients aligned on outcomes.
Product Manager
Shape the roadmap for our AI agent and DevOps automation platform. Translate enterprise pain points into product bets, define metrics, and ship capabilities engineers love.
Lead Sales Manager
Own enterprise pipeline growth for our DevOps & AI automation services. Build the sales motion, mentor closers, and turn engineering assessments into long-term partnerships.
Don't see your role? Send your resume to careers@coretech-ai.com.
Book Your Free DevOps Assessment
Tell us about your delivery challenges and we'll design a custom DevOps automation roadmap for your team.
info@coretech-ai.comWhat are your biggest DevOps bottlenecks?
Select all that apply