Decisagent working decision ontology

Capital Allocation

Choose how scarce financial capital is allocated among investments, business units, assets, or risk exposures.

Decision anatomy

Accountable owner

Board, investment committee, Chief Financial Officer, or delegated portfolio owner

Recurrence

Periodic portfolio cycles plus event-driven reallocation

Reversibility

Low for illiquid or committed capital; higher for staged or liquid portfolios.

Cost of error

Very high, with insolvency, strategic lock-in, governance, or opportunity-cost consequences.

Evidence

  • cash flows and financial position
  • risk and return forecasts
  • strategic fit
  • scenario and sensitivity analysis
  • liquidity, covenant, and regulatory context

Alternatives

  • candidate investments
  • portfolio weights
  • stage-gated funding
  • hold cash
  • divest or stop

Objectives

  • risk-adjusted return
  • resilience
  • strategic option value
  • liquidity
  • mission impact

Constraints

  • budget
  • liquidity
  • risk limits
  • covenants
  • regulation
  • governance and conflicts

Uncertainty

  • forecast distributions
  • correlation
  • tail risk
  • regime change
  • execution risk

How AI may participate

This is design guidance for the archetype, not a universal maturity requirement or a claim about a particular product.

  • Assemble investment alternatives, cash-flow ranges, dependencies, constraints, strategic objectives, and downside scenarios.
  • Compare allocate, stage, reserve, defer, or reject alternatives under explicit portfolio and liquidity boundaries.
  • Expose which recommendation depends on uncertain forecasts, option value, or correlated risk.

Authority and retained human judgment

AI should support analysis and governed proposal. Capital authorization, fiduciary judgment, strategic commitment, and any rights-affecting consequence remain with the accountable committee or executive.

What accountable people still decide

  • Which strategic options, resilience benefits, or obligations are not captured by modeled return.
  • Whether assumptions and downside tolerance reflect current organizational authority and policy.
  • Whether staging or further evidence is preferable to a false binary approve/reject choice.

Outcome observability

Cash movement is immediate; risk-adjusted outcome and attribution may take years.

Evaluation and trace

  • Record expected financial and nonfinancial outcomes, ranges, comparator, and horizon before authorization.
  • Track staged milestones, realized value, risk, and subsequent allocation changes without claiming clean attribution when horizons are long.
  • Compare recommendation, authorized portfolio, funded amount, execution, and observed outcome as separate stages.

Failure and abstention conditions

  • Abstain when alternatives, liquidity constraints, dependencies, or material assumptions are missing.
  • Do not turn uncertain long-horizon forecasts into precise rankings without sensitivity analysis.
  • Escalate any proposal that exceeds authority, policy, concentration, or irreversible-commitment boundaries.

Assess your version of this decision

An archetype cannot determine the right authority boundary by itself. Decisagent Fit separately assesses useful AI participation and supportable action authority from your decision context.

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Reviewed relevant products

No product relationship has crossed human review for this decision. Candidate seed links are intentionally excluded.