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Use case · Investment decisions

Business Case Evaluation

Large organisations evaluate dozens of major investment proposals every portfolio cycle. Each case runs to hundreds of pages. Senior analysts spend weeks reading, scoring, and writing committee memos, and the quality is inconsistent because it depends on individual judgement and how much time anyone has.

Strategic alignment scoringFinancial ROI analysisArchitectural fit assessmentRisk & dependency mappingHuman sign-off
01How it runs

From raw input to signed-off output.

agent-runrunning

$ promenaut run business-case-evaluation

Evaluated against a live $377M investment case

01

Extract & validate

Parse the investment case PDF, extract sponsors, IDs, cost lines, benefits, OKRs, assumptions and dependencies into a structured object. A 15-point quality checklist surfaces missing fields before scoring begins.

02

Score in parallel

Five agents run simultaneously: financial ROI scorer (payback, IRR, NPV, benefit density), CEO strategic alignment, GCIO strategic alignment, architectural fit against the enterprise’s FSA matrix, and cultural fit. Each produces a score with cited evidence.

03

Risk & synthesis

A risk agent stress-tests assumptions and dependencies. The verdict agent weighs all lens scores and produces a Proceed / Rework / Reject / Defer call with cited reasoning and remediation asks.

04

Human review

The structured verdict goes to a human reviewer before it reaches any committee. Every claim is traced to its source.

02Under the hood

How it actually works.

  • Nine agents across three sequential stages: extraction, parallel scoring, synthesis.
  • Strategic context (goals, architectural frameworks, leadership principles) is seeded once into the knowledge graph and reused across every evaluation run.
  • The portfolio-level unlock: once multiple cases are evaluated, cross-case queries become possible: find every case aligned to a given strategic goal, sum costs, surface dependency overlaps.
  • Decision-support by design: the workflow produces the verdict; humans decide.
03Results

What it produced.

Evaluated against a live $377M investment case

Minutes

To evaluate a case that took weeks to score manually

Five lenses

Financial, strategic, architectural, risk, and cultural, all at once

Cited verdict

Every conclusion traced to its source, with no black-box scoring

Consistent

Same framework applied to every case in the portfolio

As more cases are evaluated, portfolio-level analysis becomes available: find overlapping dependencies, surface strategic gaps, rank cases by weighted score across lenses.

04Why it's hard

The parts that break naive tools.

Manual scoring is inconsistent

Two analysts will score the same case differently. A structured framework applied consistently means the portfolio committee is comparing like with like.

Strategic context is tacit

Scoring against the CEO’s goals requires knowing what those goals are. The knowledge graph holds the strategic context; every run uses the same reference.

Volume caps coverage

A senior analyst can only read so many cases deeply. Scaling the reading and scoring lets the whole portfolio be covered, while the decisions stay human.

The verdict must be defensible

Every score, gap, and recommendation is cited to the source case content or knowledge graph entry, so a committee can trace "why Rework?" to the specific failing.

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