People and AI Agents Really PerformThe performance context layer for the AI-Powered Enterprise
TRUSTED BY CTOS, CPTOS AND CIOS AT
THE GAP
Budgets for copilots and agents keep growing, while the link to delivery, quality and revenue stays anecdotal.
Every tool reports its own version of the truth, so reviews turn into debates about numbers instead of decisions.
Risks surface in the quarterly review, after the deadline slipped and the budget was already spent.
ANSWERS
TargetBoard answers in plain language, with the evidence behind every answer.
Value creation is concentrated in a few teams that combine high AI-assisted output with low rework. Bottlenecks cluster around long-running reviews and handoffs.
Top performers share specific review and AI usage practices. Rolling those practices out to adjacent teams is the clearest lever.
Two initiatives are trending behind plan. In each case review wait time has grown while scope stayed flat, and a shared platform team is the common dependency.
Several top contributors are spending most of their time on maintenance work outside this quarter’s priority initiatives.
Platform and Integration show the strongest delivery output relative to token spend. Both teams paired AI adoption with shorter review cycles, which is where most of the gain comes from.
Two squads increased AI spend this quarter with no change in throughput, quality or customer activity. Most of the cost sits in seats that are rarely used.
HOW TARGETBOARD HELPS
One continuous loop to understand, improve and present performance, run by agents and reviewed by your leaders.
Agents watch every team, tool and workflow for meaningful change.
Trace a symptom to the process, team or dependency behind it.
See what it means for delivery, cost and customers before it lands.
Get evidence-backed options, not just another red metric.
Route actions to the owners and tools that can resolve them.
Confirm the fix worked and report the result upward.
HOW IT WORKS
CONNECT WHAT YOU ALREADY USE
No data or process preparation required. Complexity welcomed.
View All IntegrationsTARGETBOARD COMPANY CONTEXT
AI Data EngineersAI Data AnalystsOPERATION MODELS
THE ONLY COMPANY CONTEXT THAT IS FULLY
PLATFORM
WHAT MAKES US THE BEST
Models, metrics and agents stay current as your organization, tools and AI usage evolve, without rebuilding anything.
Every metric, formula, score and agent rule is visible and customizable. Start with one team and scale to the enterprise.
Skip the multi-year internal analytics project. No seat-based pricing, no lock-in, and proof before you expand.
Analysts, domain experts and customer success work alongside your team to turn the platform into business results.
Learn MoreExpert agents surface what management needs to know before it shows up in a review.
Learn More
Costs less than building and maintaining it yourself, and adds value to the BI, data and AI investments you already have.
Learn MoreCUSTOMER RESULTS
One customer reallocated AI budget away from tools that showed no impact and toward the teams getting results.
−25%
Wasted AI budget
+20%
Productivity and impact
TESTIMONIALS
TargetBoard has been a game-changer for me. It provides a centralized hub for tracking and analyzing R&D KPIs, helping me communicate performance, risks, and business impact to the ELT while keeping my teams aligned and focused.
Nadav A CTOTargetBoard fills the need of enterprise execution teams to gain timely visibility into execution, performance, and delivery risk. It surfaces dimensions that are traditionally overlooked.
Subbu Y VP DeliveryTargetBoard completely changed how we understand the ROI of our go-to-market efforts. It gives us a clear full-funnel view, from lead generation to revenue, so we can see what is driving growth and where to focus.
Oren E. CMOSee what your favorite chatbot has to say about us.
PLATFORM + SERVICE
A dedicated customer success team from day one, plus analysts and domain experts who help turn the platform into measurable results.
SET UP
IMPROVE
REPORT
TRY BEFORE YOU BUY
The AI Operational Integrity Review establishes your baseline, surfaces what current reporting misses, and gives management a short list of actions to take now.
Resolve conflicting management metrics and restore the context needed for fair comparisons.
See emerging issues current reporting has missed, and where AI spend is disconnected from results.
Leave with immediate corrective actions and opportunities, backed by evidence.
If we don’t find material gaps in your AI measurement, operational context or management controls, you walk away.
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