AI is an important tool. TargetBoard helps leaders stay on track, and increase the rate in which they convert work into business value.
Adoption is not the goal. The question leadership asks is whether more output is reaching customers , and the evidence for that sits across disconnected tools and departments.
Output rises while committed dates hold or slip. Speed is visible in the tools; value is only visible where work meets the commitments it was funded against.
Delivery, engineering, HR, and finance systems each hold part of the picture, so performance is hard to trust and reporting is inconsistent between teams.
Risks and bottlenecks surface at quarter close rather than in-sprint. By the time value slips, the decisions that could have protected it have already been made.
Fragmented data, connected and standardized. Each measure is defined once in the semantic layer, so the same number reads the same way in every executive review.
The percentage of projects completed within the stipulated timeframe.
The difference between the budgeted and the actual cost of the project.
Changes or expansions in project scope beyond the original plan.
How efficiently resources, both human and material, are being used.
Completion of the key stages inside the project timeline.
The share of delivered change that is AI-assisted, traced through to whether committed value lands sooner.
No black boxes. Every number in an executive report is accurate and traceable.
Tracking, source control, HR and finance systems land in one governed semantic layer. No prep work, even when the project data is messy.
Commitments, milestones, and capacity are set against baselines drawn from your own history. Adopted at any stage, with data filled in retroactively.
Scope, capacity, budget, and milestone movement are held against each other to project where the committed value will actually land.
Material shifts arrive where you already work, with an owner attached and every number traceable back to source, so the decision gets made in-sprint.
An agentic intelligence layer detects performance changes, surfaces risks and bottlenecks, and indicates where attention will protect committed value. Domain-expert insight, and only what is material reaches you.
One place for milestone status, dependencies, and scope change across every programme, so roll-ups assemble themselves and hold up under scrutiny.
A portfolio read on which programmes are landing the value they committed to, where budget is drifting, and which risks need attention this week.
Evidence of whether new ways of working and AI adoption are accelerating the creation of business value, or simply creating more activity.
A 30-minute call, walked through your own systems: where committed value is landing, where risk is building, and whether faster work is reaching customers.
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