Can your team ship production GenAI?

A check for engineering leaders: can your team build and ship production GenAI (agents, RAG, MCP), or do you need senior builders? Score your team across five dimensions and get tailored next steps. Pick a depth to begin.

What the assessment measures.

Senior Build Experience
28%
Engineers who have actually shipped production GenAI (agents, RAG), not just prototyped.
GenAI Engineering Skills
24%
Depth across the core toolkit: RAG, agents, tool/MCP integration, and evaluation.
Delivery Capacity
18%
Bandwidth to take on AI builds without stalling the rest of the roadmap.
Hiring & Talent Access
18%
Ability to find, assess, and close senior GenAI engineers when you need them.
Production Discipline
12%
Reliability practices for AI in production: evaluation, observability, guardrails.

Where your team can land.

  • Blocked

    0–25

    You do not yet have the senior, production-proven GenAI capability in-house to ship what you want to build. That is the most common starting point, and the most fixable. The unlock is getting a senior builder in the room who has shipped this before, rather than waiting on a long hire or learning on the job.

  • Stretched

    26–50

    You have some real capability, but it is thin and stretched, with gaps in seniority that slow delivery and add risk. You can make progress, but it is fragile and hard to scale. Targeted senior reinforcement is the highest-leverage move.

  • Capable

    51–78

    Your team can build and ship production GenAI. The opportunity now is throughput and ambition: taking on more, harder builds without overloading the people you have. Augmenting with senior specialists is how capable teams move faster.

  • Builder-led

    79–100

    You have a strong, senior, production-proven GenAI team. You rarely need help, and when you do it is for surge capacity or a hard specialist problem. That is exactly where an on-demand senior bench earns its keep.