The Decision Engine
for AI Agents.
Your agents know how to build. CrossLayer tells them what to build next — and learns your org's direction to get sharper every sprint.
MCP-native tool that keeps your data in your environment, fully tracked.
Coding agents are quick.
We need to be quick to tell them what's next.
Your agents ship features in 3 days. But every Monday you still spend 2 hours in planning, with no clear record of why you decided differently last month. Bad inputs compound at agent speed.
Two layers.
One closed loop.
It starts as your agent's task queue. It becomes your org's strategic signal.
Leadership priorities enter CrossLayer. Every signal is read — calls, Slack, architecture, backlogs, compliance docs. CrossLayer synthesises what agents should build next, in priority order. Stakeholder approves. Agents execute. Every decision traced to its source.
Every approval teaches CrossLayer where the org is going. Over time it stops waiting to be asked — and begins surfacing architecture gaps, strategic misalignments, and compliance risks the stakeholder hadn't yet spotted. The loop compounds with every sprint.
Agents come to CrossLayer for their next task. CrossLayer comes to stakeholders with what they should be building next.
Arch impact: 6 downstream tables · Effort: L
The longer CrossLayer runs, the less you have to ask. It moves from reacting to your priorities — to anticipating them.
Reads everywhere your team
already works.
Listen-only in meetings. Read across Slack, GitHub, your tickets, your architecture, your customer feedback. Write-back only after your approval.
Your agents are ready.
Give them the direction.
Close the loop between every signal and every sprint. From decision to deployment. Fully traced, fully grounded.