AI Investment Strategy and Portfolio Governance
AI Portfolio Capital Allocation Dashboard
SIMULATEDVerified Jul 2, 2026An AI portfolio is not governed because it has many promising ideas. It is governed when leaders can decide what to fund, what to hold, what to scale, and what to stop.
Same instrument · three industries pick a use case to reconfigure the run
Prefer to read? The two minute case study · problem → approach → metric → outcome
Problem
Without portfolio discipline, AI funding spreads across initiatives that may never justify their cost. This artifact treats AI initiatives like investment options, each with value, risk, stage probability, spend, and a clear recommendation.
Approach
The dashboard models a portfolio of AI initiatives through risk adjusted value, stage gate status, funding allocation, efficient frontier analysis, and reallocation from lower return work into stronger scale candidates.
Why this way
This connects AI delivery to capital allocation, portfolio governance, budget discipline, value capture, and executive decision rights.
The metric
Risk adjusted ROI per initiative (expected value × stage probability − run cost) and the efficient frontier of cumulative value vs cumulative spend.
The trade-off
Funding the single highest value initiative can starve three efficient ones; the greedy funder and the frontier knee show where diminishing returns begin.
Outcome
A defensible funding decision within a budget, what to fund, what to kill, and where the freed capital goes, with the value captured quantified.
Sum of unadjusted upside
Annualized
Value × P(success) − spend
Negative risk adjusted ROI
Value × risk · bubble = run rate spend
KYC document intelligence
Finserv · pilot
Expected value
$1.4M
P(success)
30%
Run rate spend
$1.1M
Risk score
0.75
How this number is computed
Risk adjusted ROI = expected value ($1.4M) × stage probability (30% for pilot) − run rate spend ($1.1M) = -$0.7M/yr.
Call: negative risk adjusted ROI → kill.
2 to cut this quarter
If you act on this · the call → expected lift → how you'd measure it
The call
Fund the efficient core, stop negative return initiatives, and redeploy capacity toward stronger scale candidates.
Expected lift · illustrative
Improves portfolio value by moving resources from weak initiatives to higher return opportunities.
How you'd measure it
Risk adjusted value, value per dollar, kill decision cycle time, realized vs modeled ROI, funding efficiency.
Steering committee takeaway: A portfolio where nothing is stopped is not governed. It is unattended.
How this is built & assumptions
Stage probabilities (defaults): discovery 15% · pilot 30% · scaling 60% · production 85%, editable in the Assumptions drawer.
Risk adjusted ROI = expected annual value × stage probability − run rate cost. Kill if < 0; scale if proven stage and ≥ 1.5× spend with risk < 0.6; else hold. Plan variance flagged beyond ±10%.
Stack: Next.js (static) + shared design system; deterministic client side math over authored, anonymized finserv + telecom initiatives.
Limitations: the financials are illustrative and use modeled assumptions. Real portfolio governance would require finance approved forecasts, initiative level probability estimates, delivery capacity data, and benefits tracking.