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For 𝗧𝗣𝗠𝘀 and 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀, AI is changing how initiatives get delivered. It creates a new challenge: improving predictability, managing emerging risks, and proving that AI investment is actually improving business outcomes. The problem is that the evidence is usually fragmented across Jira, GitHub, AI tools, planning systems, and different teams without 𝗮 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗰𝗼𝗻𝘁𝗲𝘅𝘁. TargetBoard.ai brings that data together into one reliable company context. Our domain-expert agents continuously surface: • Delivery risks and bottlenecks • Changes in productivity and quality • Cost and resource allocation issues • AI adoption and business impact • Initiatives that are starting to drift off track So leaders can identify problems earlier, understand what is driving them, and act before they become surprises. As AI changes how work gets done, TargetBoard helps TPMs and delivery leaders stay on top of how work is actually getting delivered. Prove impact. Avoid surprises. Stay on track.

𝗢𝘂𝗿 𝗱𝗼𝗺𝗮𝗶𝗻 𝗲𝘅𝗽𝗲𝗿𝘁 𝗮𝗴𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝗲𝗮𝗿𝗹𝘆 𝗮𝗰𝗰𝗲𝘀𝘀. 🥳 These agents are built to help engineering and delivery leaders stay on top of how work is really getting done across humans, bots, and AI-augmented teams. Think of it as an Iron Dome for your operations. Always on. Always scanning. Always looking for threats in real time. TargetBoard agents proactively detect signals around quality, velocity, project risk, AI adoption, AI cost, delivery bottlenecks, and team performance, so leaders can understand what is changing, why it matters, and where action is needed. Early access is now open. We are all very excited about these new capabilities and the insights that they will bring to our amazing customers. 🙏 This is just the beginning. Many more agents are coming and they are getting smarter by the week.

When leaders who built Engineering Intelligence at companies like SentinelOne say “this is different” - people pay attention. 🚀 TargetBoard.ai gives organizations something most platforms promise but never deliver: 🎯 Real operational intelligence across the entire enterprise. 🤖 AI agents. Reliable data. Fast time-to-value. Enterprise-ready. 🤔 Curious why engineering and operations leaders are reaching out? DM me.

AI is reducing effort across human teams. But what actually changed in delivery, predictability, or impact? That’s harder to answer.

Cycle time looks better. Throughput is up. But can you clearly show what AI changed in delivery outcomes? Most teams can’t.

Jira, GitHub, CI/CD all show activity. But when things slip, it’s still unclear why. That visibility gap is the problem.