Invest in the right projects and prove the return
Decide which projects deserve funding and prove the return. Prioritize the portfolio on value and risk, allocate capital with rigor, and pressure-test roadmap and delivery credibility.
Value-Based
Prioritization
Capital
Optimized
Delivery
De-Risked
Common pain points that structured decision models eliminate.
Projects get funded by political weight, not expected value. Prioritize the portfolio on quantified value, cost, and risk so capital goes where it pays off.
Commitments are made with no credibility check. Score roadmap and delivery credibility to flag overcommitted plans before they slip.
Technology and AI costs grow without attribution. Attribute and optimize spend so portfolio decisions reflect true cost.
It's unclear how projects advance the strategy. Map portfolio investments to strategic alignment so trade-offs are explicit.
How leaders use DecisionLedger to make better decisions.
Uses portfolio optimization and capital allocation models to decide which initiatives to fund this cycle under a fixed budget, with a defensible, board-ready rationale.
Re-allocated capital to the highest-return initiatives with quantified trade-offs
Runs roadmap commitment credibility and DORA readiness scoring to flag overcommitted teams before they miss quarterly commitments.
Cut roadmap slippage by flagging overcommitment early
Uses analytics cost optimization and AI cost attribution to tie technology spend back to the projects that drive it, surfacing runaway cost.
Brought cloud and AI spend back into the portfolio decision
Based on platform benchmarks across early adopters.
Prioritization
Capital Allocation
Roadmap Credibility
Tech Spend
Prioritize, fund, and govern IT and project investments with quantified trade-offs.
Rank initiatives on quantified value, cost, and risk so funding follows expected return, not politics.
Optimize how capital is spread across the portfolio under budget and capacity constraints, with scenario comparison.
Score roadmap credibility and delivery readiness, and attribute IT and AI spend so cost overruns are caught early.
Connects With
Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics
Salesforce
Workday
Slack
NetSuite
Power BI
Salesforce
Workday
Slack
NetSuite
Power BIPre-built decision models ready to run with your data.
Attributes compute and storage spend to products, teams, and workloads across the data stack. Identifies biggest cost drivers and recommends query tuning, schedule changes, caching, and tiering.
Where should the next dollar go? Evaluates hiring, projects, software, marketing, and acquisitions on the same scale. Computes risk-adjusted NPV, normalized ROI, multi-criteria composite scores, growth vs profit tradeoff frontiers, Monte Carlo confidence intervals, and sensitivity analysis. Produces ranked allocation recommendations with executive-ready KPIs.
Detects over-concentration of risk across decisions. Analyzes the aggregate portfolio of active decisions to identify clustering, correlation, and concentration risks that could amplify failures. Computes Herfindahl-Hirschman Index, category and risk-level concentration, timeline clustering, risk factor correlation, and portfolio balance scoring with rebalancing recommendations.
EU Digital Operational Resilience Act readiness assessment across 5 pillars with gap analysis and remediation planning
Balances multiple initiatives across risk and return using Markowitz-inspired mean-variance optimization. Identifies the efficient frontier of initiative portfolios and recommends optimal allocation. Computes correlation-aware portfolio risk, Sharpe-ratio-like scoring, diversification metrics (Herfindahl index, category concentration), individual initiative rankings by risk-adjusted return, what-if frontier shift analysis, and Monte Carlo confidence intervals.
Scores how well a decision aligns to company objectives. Maps decisions against strategic pillars, OKRs, and values with weighted alignment scoring and gap analysis.
Explicitly surfaces opportunity cost between competing options. Quantifies what you gain and what you give up for each alternative using multi-criteria comparison with explicit cost-of-not-choosing analysis.
Detects anomalous per-team or per-feature LLM spend.
Scores whether roadmap commitments are realistic based on historical delivery data and capacity.
Balances innovation investments across horizons using Markowitz optimization with Bayesian probability updating to ensure the right mix of core, adjacent, and transformational bets.
Three steps to structured, auditable decisions.
Bring the project portfolio into one place and score each initiative on value, cost, risk, and strategic alignment.
Allocate capital across the portfolio under budget and capacity constraints. Compare funding scenarios with quantified trade-offs.
Monitor roadmap credibility, delivery readiness, and spend attribution so the portfolio stays on value through execution.
Spreadsheet portfolios
Project lists scored inconsistently with no optimization under constraints
HiPPO prioritization
Funding driven by the highest-paid person's opinion instead of expected value
Disconnected PPM tools
Delivery tracking with no link to value, capital allocation, or cost
Untracked tech spend
Cloud and AI costs that grow outside the portfolio decision