The problem isn’t technical, it’s time
AI agents already write, test and fix code. Your developers know it and want them. The board asks why the company is slow on AI. And every agent use case sits in Security’s queue for months, because no one can answer what the agent sees, what it does and who approved it.
Meanwhile, AI gets used anyway, on the side.
What you gain with Harkaq
Agents doing real work today. Security approves a policy, not every agent or every case. What used to take months can be decided in weeks.
No lock-in to one agent. Claude Code and Codex work under the same policy. Agents change every month; your controls don’t have to start from scratch each time.
Developers work as usual. Editor, terminal and agent in the browser, in a workspace that opens in seconds. If there’s nothing to decide, there are no prompts.
Blocks that don’t kill the task. When something isn’t allowed, the agent explains what happened and suggests the permitted path. If it truly needs something new, it asks and someone else approves it in minutes.
Code that reaches review with context. What the agent produces arrives labeled and with a risk summary, so reviewers know where to look.
What we measure with you
In the pilot we agree on goals before we start, for example: how long it takes to approve an agent use case, how many developers use it each week, and how many blocks end in a completed task.