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Agentic AI adaptation

First we put your infrastructure into code. Then agents take over the toil.

AI agents are only as effective as the infrastructure they operate. So we codify your entire estate first: Terraform and Terragrunt for cloud, Kubernetes and Helm through GitOps, observability and guardrails as reviewable policy. Then our agents, Metatron and Verdict, run on top of it. Senior engineers supervise every production change.

Metatron and Verdict in production99.98% availability on an operated platformTerraform · Terragrunt · Kubernetes · PrometheusInfrastructure experience since 2012
Hand-built infrastructure transforming upward into an orderly grid of luminous blue blocks
Why code first

Agents can code. So the infrastructure must be code.

On a hand-built estate an agent sees fragments, guesses at context, and produces noise. On a codified estate every resource, dashboard, and boundary is readable, so its findings are evidence, not speculation. That is why the sequence is strict: digitize first, activate second.

Agents on hand-built infra
  • Context lives in heads and wikis, invisible to agents
  • Every environment slightly different, findings unreliable
  • No safe change path: a proposed fix has nowhere to land
  • Result: noise, not operations
Agents on codified infra
  • The whole estate is in git: readable, versioned, reproducible
  • Investigations cite code and telemetry, not guesses
  • Fixes arrive as pull requests with review and rollback built in
  • Result: evidence-backed operations, supervised by engineers

Already fully codified? Phase 1 becomes an audit and gap-closing pass, and the agents launch sooner. Not codified yet? Skipping Phase 1 is not an option we offer: agents on hand-built infrastructure produce noise, not operations.

Phase 1 · Everything into code

Digitize everything.

01

Audit and inventory

Map every resource, environment, dashboard, and runbook. Nothing stays tribal knowledge.

02

Cloud infrastructure to code

Networks, compute, IAM, and data stores captured in Terraform and Terragrunt, module by module.

03

Workloads to code

Kubernetes manifests and Helm charts, delivered through GitOps. Every change reviewable, every rollback instant.

04

Observability to code

Prometheus rules, Grafana dashboards, and alert routing, versioned next to the infrastructure they watch.

05

Access and guardrails

Scoped credentials, least privilege, secrets handling, and change boundaries the agents will respect.

Phase 2 · Agents on top

Activate the agents.

06

Connect Metatron

The control plane attaches read-only, ingests alerts, and starts gathering context across the codified stack.

07

Live incident operations

Every alert investigated automatically, evidence-backed root cause in Slack in minutes. Verdict proposes the fix as a pull request, engineers approve, machines verify after merge.

08

Prediction and improvement

Accumulated telemetry surfaces anomalies and capacity trends before they become incidents. Runbooks and modules keep improving in code.

What you get

The deliverables, in code and in operation.

01

Infrastructure as code estate

Cloud resources in Terraform and Terragrunt: modular, versioned, reproducible.

02

GitOps delivery

Kubernetes workloads in manifests and Helm, every change through review, every rollback instant.

03

Versioned observability

Prometheus rules, Grafana dashboards, and alert routing living next to the code they watch.

04

Access model and guardrails

Scoped credentials, least privilege, secrets handling, and change boundaries as reviewable policy.

05

Agent integration

Metatron and Verdict connected to your stack with read-only investigation and PR-based remediation.

06

Incident workflow in Slack

Root cause reports where your team already works, with evidence attached.

07

Documentation and runbooks

The estate documented as it is built, runbooks improving in code over time.

08

Ongoing supervision

Senior engineers responsible for production decisions at all times. Automation handles the repeatable work.

Proven in production

A platform operated this way holds 99.98% availability.

The government online services platform runs on the same model: fully codified infrastructure, versioned observability, and supervised operations. That is the published number, and it is the only one we will quote.

Read the case study
FAQ

Questions teams ask before the agents arrive.

Do we need to rewrite everything before agents can help?

No. Phase 1 captures the estate as it is: existing resources go into Terraform and Terragrunt, workloads into Kubernetes and Helm. Rewrites happen only where the audit finds real risk.

Can the agents change production?

Only through pull requests that engineers approve. Metatron is read-only by design. Verdict never pushes directly: every change is merged by a human and verified by machines after merge.

What if we already use Terraform?

Good. Phase 1 becomes an audit and gap-closing pass: we review module quality, close coverage gaps, and the agents launch sooner.

How long does Phase 1 take?

It depends on the size of the estate. We assess it up front and give you a scoped plan before any work starts.

Which stacks do you support?

The published production model runs on Kubernetes, Terraform, Terragrunt, Helm, Ansible, Prometheus, and Grafana. Ask us about your specific stack.

Is our data safe? What access do the agents get?

Metatron connects read-only, with scoped credentials for investigation. Access boundaries are defined as reviewable policy in Phase 1, before any agent connects.

What does prediction actually mean?

Anomaly detection and capacity and cost forecasting from accumulated telemetry. It flags trends early. It does not promise to prevent every incident.

Show us your infrastructure. We will tell you how far it is from agent-ready.

You get an honest read: what Phase 1 covers for your estate, what the agents can take over, and what should stay with people.