A senior DevOps team running your infrastructure 24/7, powered by AI agents that handle cost, security, incidents, deploys, and resource ops. Book a call to scope your first month.
cost-agent detected $4,100/mo idle EC2 across 3 accounts
✓ Operate tier — stopped 12 idle instances, tagged for review
security-agent found 2 SGs open to 0.0.0.0/0
✓ Approval requested — pending eng lead
deploy-agent shipped platform-api v2.14.1 to staging
✓ Healthy — rollback plan cached
Summary pushed to #ops in Slack.
Audit trail: 47 actions logged · 0 escalations.
$450K–$1.6M per year in operational labor
A mid-market platform team of 3–8 engineers, at fully-loaded cost, dedicated to cost/security/incident/deploy work.
30% cloud overspend on average
Waste the team knows exists and keeps missing because they're stretched thin.
90+ days to hire a senior SRE
While cloud footprint grows double-digit percent per year. The hiring path can't close the gap.
$600B–$1T global DevOps/SRE labor pool
The real market. Not a $9B tools category. IAN replaces the work, not the dashboard.
Our cloud team handles it continuously — engineers on point, AI agents doing the toil, you stay in approval on anything irreversible.
You don't manage agents. You open tickets in chat. Your named engineer picks them up, runs the right agents, and ships the work. You watch progress in the IAN dashboard.
30-min scoping call with the named engineer who will own your account. We map your AWS footprint, the work your platform team is buried under, and what the first month looks like.
Your engineer connects AWS (scoped IAM, KMS-encrypted), links your repos, and stands up your IAN workspace — chat, dashboard, and the agents pre-configured for your stack. Week 1, you're live.
Drop work in the IAN chat — "staging cost spiked", "the prod deploy looks weird", "audit asked for SG evidence". Your engineer triages, picks the right agent, runs it. You don't manage agents directly.
The IAN dashboard shows every agent run, every finding, every action — cost savings shipped, security gates pending, deploys queued. Your engineer is named on every task; the audit trail is immutable.
Anything irreversible or out-of-policy hits an approval gate to your team. Your engineer runs a weekly review on cadence — what landed, what's queued, what's worth doing next month.
Each agent owns a domain. They share context through the IAN orchestration layer (Hermes) and escalate to each other when work crosses domains.
Watches spend continuously. Flags regressions, rightsizes resources, cleans up idle EC2 and unattached EBS, plans RI/Savings Plans. Attributes cost to owners.
Audits configuration, catches drift, scans repos for secrets, detects misconfigured SGs and IAM. Surfaces exposure before auditors do. SOC 2 / HIPAA evidence collection built in.
Detects anomalies, investigates root cause, proposes or executes remediation for reversible issues. Routes to owners with blast-radius context. Closes the investigation loop.
Orchestrates releases across environments. Runs health checks, staged rollouts, automatic rollback paths. Works with your existing CI and deploy infra; never a black box.
Tagging, quotas, lifecycle policies, inventory hygiene. The unglamorous work that keeps cloud accounts governable as they grow. Policy-enforced, audit-trailed.
Hermes coordinates the team, routes work between agents, enforces capability tiers, and runs approval gates. Every material action is appended to an immutable audit trail.
You don't need a better view of the problem. You need the problem handled. IAN sits above observability and cost tools and executes the work their dashboards used to surface for humans.
Datadog, Wiz, Vantage, CloudHealth. They tell you what's wrong. You still pay an engineer to go fix it. Better dashboards don't reduce the labor bill.
The agent team runs the work. Cost cleanup, security remediation, incident triage, deploy orchestration, resource hygiene — continuously, with audit trail and approval gates.
MCP-first interface
Claude, Cursor, Claude Code, or any MCP client. Ask in natural language; IAN routes to the right agent, runs the work, and returns a structured answer. The web surface is for audit trail and approvals — not daily driving.
38+
production operations
3
capability tiers
24/7
autonomous operation
2–4
engineers replaced
Observe tier
Cost audits, security scans, drift detection, inventory — continuous, fully audited.
Operate tier
Reversible changes act autonomously; irreversible or out-of-policy hits an approval gate.
Administer tier
Org, billing, IAM, policy changes — always require explicit human approval.
MCP-first: drive IAN from Claude, Cursor, Claude Code, or any MCP client. Alerts and summaries stay live in IAN and email. Integrations into the clouds, repos, and tools you already use.
AWS account inherited with zero documentation after the engineering team left. Service down; no recovery path; no idea what was running where.
The agent team audited the environment end-to-end, mapped every resource and dependency, planned a migration to GCP, and executed it with the deployment agent.
Platform fully restored on GCP with continuous monitoring. Zero undocumented dependencies. Weeks, not months.
"We had no documentation, no access, and no idea what was running where. IAN mapped everything in our corrupted AWS account and gave us a clear migration path to GCP. We went from total outage to fully monitored production in weeks, not months."
AWS via a scoped IAM role (STS AssumeRole; customer keeps the principal). GitHub or GitLab via OAuth. Credentials are encrypted with KMS. Setup is a CloudFormation template plus a couple of OAuth clicks.
Observe = read-only audits, cost, security, drift (auto-executed, fully audited). Operate = deploys, tagging, reversible remediation (auto for in-policy work, approval gate otherwise). Administer = org, billing, IAM, approval policy itself (always explicit approval). You choose which tiers are enabled per account and per team.
Yes. Every material agent action is appended to an immutable audit trail. Irreversible or out-of-policy actions hit an approval gate. IAM is narrowly scoped. Customers can disable Operate tier entirely and run IAN in Observe-only mode first.
No. IAN is MCP-first. Engineers drive it from Claude, Cursor, Claude Code, or any MCP client. The web surface is for audit trail review, approval queues, and org admin — not daily driving.
Managed engagements priced to your AWS footprint and needed response time: Lite ~$5K/mo (≤$50K/mo AWS spend, 2-business-day SLA), Standard ~$7K/mo ($50K–$250K/mo, 1-business-day SLA), Scale ~$15K/mo ($250K+/mo, 4-hour SLA). All tiers include the named engineer, AI agents, and the IAN platform. Model costs are included; bigger footprints scope on the call.
AWS is live today with 38+ production operations. GCP, Azure, Kubernetes, and on-prem are the next adapters on the roadmap.
30 minutes with the team. We'll look at your cloud together, show you what we'd take off your plate, and scope a first month if it's a fit.