Compliant IaC.
Drafted by AI.
Reviewed by Humans.
An agentic assistant that drafts compliant CloudFormation and Terraform — your security policy enforced at generation, every template routed to an engineer before anything deploys. Built for infrastructure teams at companies of every size, and shaped by the engineers who run them.
One Assistant. Three Stages.
One Permanent Human Review Gate.
Infrastructure requests move through three coordinated stages — from ticket ingestion to reviewed template. Every draft routes to a human before anything deploys. That gate is permanent by design, not a transitional control.
Request Ingestion
The assistant pulls infrastructure requests from where your team already works — Jira, ServiceNow, or similar. No new workflows to learn. It parses the intent: which resources, which account, which environment, which compliance context applies.
Compliant Draft Generation
AI drafts a CloudFormation or Terraform template — with your organization's security policy enforced at generation, not scanned on afterward. The result is a first draft already shaped to what your reviewers would ask for.
Human Review Gate
Every generated template routes to an engineer before anything deploys. Permanent by design — a compliance feature, not a transitional control. Your senior engineers keep their judgment in the loop; they just skip the boilerplate that gets them there.
The Teams This
Was Built For.
Platform and DevOps teams run into the same set of problems, whatever the size of the company. Below are the archetypes the product was designed around.
SOC 2 Pressure, Small Team, High Volume
A platform team of six engineers supporting a growing fintech. Thirty to fifty CloudFormation requests a week from product teams. SOC 2 Type II already in place, so every template needs documented compliance. Most of the senior engineer's week vanishes into boilerplate review — not the architecture work that needs them.
100 Requests / Week, $390K Recoverable
A large regulated enterprise processing roughly 100 CloudFormation requests weekly. Senior engineers spend the equivalent of 100 engineer-hours a week on boilerplate generation — on the order of $390K/year in recoverable engineering capacity. SOX ITGC and PCI-DSS overhead compounds every step.
Small Platform Team, Heavy Repeatable Patterns
A platform team of three to four engineers at a healthcare SaaS company. Infrastructure is highly repeatable — the same HIPAA-aligned patterns over and over — but every request still goes through a hand-drafted template. Standardization without AI support has stalled twice; the team can't afford the engineering time to build an internal tool.
From Ad-Hoc Terraform to Governed IaC
A Series B startup with three infrastructure engineers graduating from ad-hoc Terraform to something they can defend in their next audit. Module sprawl, policy enforcement nonexistent, reviewer burnout setting in. The team knows what "good" looks like but doesn't have the capacity to build the enforcement layer themselves.
How Getting Started
Works.
It starts with a 30-minute conversation about how your team runs IaC today. Here's exactly what happens — and what happens next is your call.
We Listen First
You describe how your IaC workflow actually runs today — where the bottlenecks are, what compliance contexts you operate in, and where your senior engineer hours really go. No canned demo. A focused conversation about your team's reality.
We Show You the Assistant
If there's a plausible fit, we walk through what the product is designed to do, what it deliberately won't do, and where your reality lines up or doesn't. You get a clear picture of the direction — and a direct opportunity to tell us what we have right or wrong.
You Choose What's Next
Three options, no pressure: scope an onboarding and a start date, take the details back to your team and revisit next quarter, or decide it isn't a fit. If none of them land, the 30 minutes still cost you nothing.
- Deployed into your AWS / Azure account
- CloudFormation generation
- Up to ~40 requests / month
- Standard policy rulesets (CIS baseline)
- Email support
- Everything in Small Team
- Custom organization-specific policy ruleset
- Jira / ServiceNow / Version Control workflow integration
- Volume: up to ~150 requests / month
- Quarterly roadmap conversation
- Everything in Platform Team
- Multi-account deployment support
- Volume: up to ~400 requests / month
- Priority roadmap input
Custom AI Engineering
While the IaC product is our primary offering, we take a limited number of custom AI engineering engagements — infrastructure automation, agentic workflows, and AI systems integrated with your existing cloud. Scoped per engagement, priced after a short technical assessment.
One Principal Engineer.
One Focused Problem.
OutcomeAI.io is the public face of OutcomeAI LLC — a Connecticut company with one principal engineer. No marketing team. No pool of juniors supervised by a salesperson. No reseller layer on someone else's product. When you book a conversation, you talk to Benjamin Pinkert — the person designing and building the system.
My career is in IT security and cloud infrastructure automation. For more than a decade I've watched the same pattern repeat inside enterprises: senior engineers burning their best hours on boilerplate IaC while compliance concerns slow everything around them. The Agentic IaC Assistant exists because that problem is real, measurable, and exactly the kind of thing I've built before. Building in your area of credibility shortens every sales cycle and produces a better product — that's why this is the bet, rather than a broader general-purpose AI offering.
Common Questions
Platform engineering, DevOps, and cloud infrastructure teams at companies of any size — startup to enterprise — running AWS (CloudFormation, Terraform) or Azure (Terraform, ARM). If your senior engineers are drafting compliant IaC from scratch, reviewing each other's boilerplate, and wishing that time went into harder problems, you're the target.
The product deploys into your own AWS or Azure account — not ours. You control the data, the templates, and the audit trail. We maintain the software layer (updates, model improvements), but nothing about your infrastructure leaves your cloud. Preserving that isolation guarantee is why the architecture is designed this way from day one, and it's what makes the product viable for regulated clients.
Because compliant infrastructure is not the domain to remove human judgment from, and because trust is the foundation of the product we want to build. Every generated template routes to an engineer before anything deploys. That's a design decision, not a transitional control we plan to relax. It's also how we expect to defend SOX, PCI-DSS, and SOC 2 alignment — the review trail is the compliance evidence.
Copilot and Amazon Q generate IaC but don't enforce your organization's security policy at generation time. Spacelift, env0, and similar governance platforms manage and police templates but assume someone already wrote them. The gap is a product that does both — AI generation with your security policy enforced at the moment of creation, plus workflow integration with Jira or ServiceNow — at a price teams can actually pay. That's the slot OutcomeAI fills.
Yes, on a limited basis. We take a small number of custom AI engineering engagements — typically focused on AWS infrastructure automation, agentic workflows, or AI systems integration. Scoped per engagement and priced after a short technical assessment. See the Custom AI Engineering block in the Pricing section.
Thirty minutes. You describe how your infrastructure workflow runs today, where the bottlenecks are, and what compliance context you operate in. We walk through what the assistant does and where it fits your stack. No obligation. If it isn't a fit, we'll say so. If it is, we scope onboarding and a start date.
See It Against
Your IaC Workflow.
Thirty minutes. You describe how your team works today and where senior engineer time actually goes. We show you where the assistant fits and what it would take on. No obligation. If you're running platform engineering or DevOps, this conversation is for you.