AI makes it easier than ever to create software, and much harder to maintain and govern it. Draftt is the missing governance layer: it identifies maintenance obligations across your stack, translates them into business context, and drives the work to completion.
Draftt continuously surfaces impending maintenance work, turns every finding into a clear, contextual plan, and drives it to done. Fewer incidents, lower extended support costs, and a backlog that shrinks instead of compounds.
Continuously detect outdated, risky, unsupported technology
Add business and engineering context: ownership, cost, blast radius, and urgency
Turn findings into action with workflow automation. tracked to closure with proof
Spreadsheets and manual audits are stale the moment they are written. Draftt connects to your live environment in minutes, with no agents and no code changes, and builds a real time map of every asset and its lifecycle state
Inventory Everything
Auto-detect versions and lifecycle status across AWS, Azure, GCP, Kubernetes, runtimes, databases, certificates, IaC, open source packages, and AI models
Quantify the cost of inaction
See extended support fees and risk exposure in dollars, projected forward, so deferring an upgrade always has a price tag
See current and future state
Know exactly where production has drifted from your internal standards, and what reaches end of life up to 18 months out
You have enough alerts. You need focus. Draftt's Prioritization Agent scores every finding against business impact, engineering impact, and change analysis, so your team acts on what compounds, not on whatever a vendor flagged last.
Production Awareness
We know if a component is in a Sandbox (ignore) or a mission critical (fix immediately)
Blast Radius Analysis
Understand the downstream impact before you upgrade. See which services and APIs will be affected
Ownership resolved
Every finding is mapped to the team that owns it, so prioritization ends in an assignee, not a debate
The actual code change is only 10% of the work. The rest is investigation and process. Draftt acts as an Agent for your technical debt
Zero-Touch Research
Our Agent pre-fetches release notes, breaking changes, and compatibility checks
Orchestrated change
Automatically route the upgrade task to the right service owner with all the data needed and even the actual upgrade plan or code changes
Closed with evidence
Every finding is tracked to closure and validated against the live environment, so the debt is provably gone and audited, not just ticketed.
Draftt covers the modern engineering stack: cloud infrastructure across AWS, Azure, and GCP, Kubernetes, runtimes, databases, certificates, IaC, open source packages, container registries, and AI models and services. The full integration list is in our documentation
Minutes to visibility. Days to full governance. Draftt prioritizes low-friction integration. We connect via standard APIs to your Cloud Providers and Repositories to map your technical debt immediately. For active remediation, we integrate seamlessly with your IDE using our MCP Server, delivering value without requiring a heavy implementation project.
We use a tiered enterprise model based on scale. Our tiers are designed to match your maturity, from pure Visibility to full Agentic Remediation. Costs are structured around the number of monitored resources (cloud accounts, clusters, repositories), so you only pay for the assets we govern.
Yes. We translate "Delayed Maintenance" into "Dollars". We don't just show you End-of-Life dates; we model the financial impact. Draftt automatically calculates the potential costs of Extended Support fees, so you can build a business case for proactive modernization.
Yes. Ownership resolution is built into every finding. Draftt maps each asset to the team that owns it, analyzes which downstream services and APIs an upgrade will affect, and routes the work accordingly, so risk is always attached to a name, not a backlog.