Catch delivery risk before it becomes a missed commitment - and turn every dollar of engineering and AI investment into measurable business impact.
AI is changing how work gets done faster than traditional management systems can keep up. The new challenge is maintaining control at AI speed.
AI increases speed, complexity, and risk. Existing management processes are too fragmented and too slow to keep up with it.
The real pain is management latency. Delivery, quality, cost, and planning issues surface only after the damage is already done.
Enablement is not success. Connect AI and transformation initiatives to measurable change in productivity, quality, cost, and capacity.
TargetBoard connects the systems your teams already run in, then normalizes work items, people, agents, and outcomes into shared definitions. One set of numbers that holds up across portfolios, vendors, and methodologies.
Expert agents monitor the connected data continuously, detecting change, naming the bottleneck, and saying where attention is needed.
Agents watch the normalized data continuously and flag movement against each team’s own baseline, not a generic benchmark.
Risk arrives with its cause attached: which signal moved, which teams it affects, and how much slack is left before it reaches a commitment.
Agents continuously connect the signals, identify what needs attention, and tell leaders where action will have the greatest impact.
The insight arrives ready to act on: language for the review, an alert that catches the next occurrence, and context the organization keeps.
Predictability by portfolio, early risk signals with the bottleneck named, and a forecast leadership can rely on between reviews.
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Cross-program visibility with consistent definitions, so status roll-ups assemble themselves and hold up under scrutiny.
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AI-attributed work traced through to productivity, quality, cost, and delivery, with governance over how agents operate.
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Cycle time, review load, and defect trends per team, showing where AI-assisted work helps and where it adds rework.
Learn More →TargetBoard agents continuously monitor operational data, each with its own domain expertise, surfacing risks and important changes as they emerge.
Continuously monitors engineering quality signals, highlighting rising defects, regressions, and production instability before they impact customers or delivery.
Tracks development speed across teams, surfacing slowdowns in cycle time, reviews, bug fixes, and delivery flow to keep execution moving.
Measures how AI adoption influences velocity, quality, and efficiency, revealing whether AI investments are truly accelerating performance and outcomes.
Analyzes planning reliability and delivery consistency, identifying scope creep, at-risk initiatives, and gaps between commitments and actual outcomes.
Monitors workload patterns and long-term sustainability signals, detecting burnout and attrition risks before they affect morale, retention, and productivity.
Agents act as personal assistants for managers: tracking strategic execution, answering questions in plain language, detecting emerging risks, and showing where AI adoption is driving results.
Meet the AgentsAdoption dashboards tell you AI is being used. TargetBoard traces AI-attributed work through to the four outcomes leadership is actually asked about.
Teams keep working the way they work. TargetBoard reads from the systems already in place and adds the intelligence layer on top, so nothing has to be re-platformed to get a reliable view.
Ask questions from Claude or your internal assistant and get answers grounded in your operational data.
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Put the same KPIs inside the tools your leaders already open every morning, with no second place to check.
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Role-scoped visibility, audit trails, and enterprise controls over what agents can see and act on.
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“TargetBoard provided our product engineering organization with multi-layered real-time insights. It is a powerful tool for product development excllence.”
“TargetBoard hones in on the most critical metrics for my team without the mess of stitching multiple platforms. They are pioneering AI insights for KPIs you care about.”
“AI adoption used to be a black box. Now we can measure real impact, cycle time, quality, behavior. It changed how we think about our AI strategy in HW, FW, and SW.”
TargetBoard is where leaders go to manage the performance of humans, bots, and AI-augmented teams. It turns your operational data into a network of domain-expert agents that generate the reports, KPIs, insights, alerts, and actions needed to improve execution, productivity, and business outcomes.
TargetBoard is built for senior leaders across Delivery, Technical Program Management, AI Transformation, and Engineering who are accountable for performance across complex organizations.
AI is changing how work gets done, and leaders need more control over performance across humans, bots, and AI-augmented teams. TargetBoard Agents continuously monitor your operational ecosystem, detect delivery risks, productivity gaps, quality issues, bottlenecks, and AI-related problems early, and surface what needs attention before issues become surprises.
When you need fast results without compromising on quality, alignment, or control: stepping into a new role, managing organizational change, aligning strategy with execution, improving internal or customer communication, rolling out new technology, preparing for critical milestones, or integrating teams after M&A. TargetBoard helps leaders move quickly while staying aligned on what matters most.
TargetBoard is a full-service agentic operations solution, not another data project. It connects to your operational systems and generates a large semantic model of your business — an enriched data layer that understands your context, powers deeply customized KPIs and insights, and makes reliable operational data accessible to agents through MCP.
Instead of relying on people to manually check dashboards, TargetBoard Agents act like domain experts that understand your business context, monitor your KPIs, detect meaningful changes, and tell you what needs attention. They help leaders react faster, uncover root causes, and stay ahead of execution, quality, productivity, and AI impact issues. Your agents will benefit too. With TargetBoard’s MCP, they can connect directly to a reliable operational data layer, access trusted signals, and use notifications as triggers for their own skills and workflows.
See what your favorite chatbot has to say about TargetBoard, or book a demo with our experts to learn how it can help you.
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