Illustrative scenario

Get Your AWS Control Tower Landing Zone Done in 3 Weeks, Not 12

For a Director of Cloud Infrastructure at a mid-market SaaS company, a twelve-week AWS landing zone engagement is money and time that should be going toward product. The work is well-defined — Terraform modules, Service Control Policies, GuardDuty baselines — but it's painstaking and sequential when done manually. At $120k–$450k per engagement, the opportunity cost of a slow delivery is significant.

Up and running in ~8 wkFor: Director of Cloud Infrastructure, mid-market SaaS
Estimate your payback
~3 mo
Payback period
$311K
Est. savings / year
+$221K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Why Landing Zone Engagements Take Twelve Weeks

Multi-account landing zone work is repetitive at the module level but requires careful sequencing at the policy level. Architecture Decision Records from prior reviews rarely get fully incorporated into Terraform until someone manually works through them. SCPs need to be drafted, reviewed, and applied account by account. GuardDuty baseline configuration is methodical but slow. The bottleneck isn't expertise — it's throughput. A senior engineer can only draft, review, and apply so many modules in a sprint.

An Agent That Generates, Applies, and Gates IAM Changes

An AI Labor Company agent mines prior architecture decision records and AWS Well-Architected review notes to generate Terraform modules matched to your specific account structure. It applies SCPs and configures GuardDuty baselines against established best practices. Critically, every IAM policy change routes through a human approval gate before apply — the Director of Cloud Infrastructure reviews and approves before anything with access implications lands in production. In scenarios like this, landing zone delivery compresses from 12 weeks to 3, a 60–78% reduction in elapsed delivery time.

The Business Case: Engineering Capacity Back on Product

Cutting delivery from 12 to 3 weeks returns roughly two months of senior engineering time to product work. For a mid-market SaaS company where engineering capacity is a genuine constraint, that's a meaningful business impact — not just cost reduction on the engagement itself, but capacity freed for work that compounds. The agent is typically live and generating Terraform output within 8 weeks of engagement start.

Questions

Does the agent work with existing Terraform state, or does it require greenfield?

It works with both. If you have existing Terraform state or prior modules, the agent can incorporate them as inputs. For greenfield accounts, it generates from the architecture decision records and Well-Architected review notes gathered during setup.

What's the human review process for IAM policy changes?

Every IAM policy change the agent proposes is queued for review before apply. The Director of Cloud Infrastructure or a designated approver reviews the policy diff and explicitly approves it. No policy lands without that gate, regardless of how routine the change looks.

Related use cases

Illustrative scenario for it, software, devops & cloud. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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