Financial Model Ecosystem — Component Inventory

Date: 2026-02-12 Task: N.6.13 (Financial Ecosystem Components) Author: Claude (Opus 4.6)

Executive Summary

Created 7 new CODITECT components to enable persona-driven financial model orchestration via the /fm engine (ADR-177). The ecosystem maps 4 financial personas to specific /fm command sequences, with a routing skill, orchestration workflow, and validation hook.

Components Created

1. Persona Agents (4 files)

Agent	File	Role	Key /fm Commands	Quality
Finance Controller	agents/finance-controller.md	Budget oversight, variance analysis, internal controls	compare, history, build --format xlsx	80
CFO	agents/cfo.md	Strategic leadership, board reporting, investor relations	build --format formula, funding, compare	85
FP&A Analyst	agents/fpa-analyst.md	Forecasting, scenario modeling, sensitivity analysis	scenario clone, growth, compare, build --format all	80
Financial Analyst	agents/financial-analyst.md	Model building, valuation, due diligence	seed-defaults, pricing, growth, funding, build --format all	80

Architecture:

• All 4 agents reference ADR-177
• CFO has moe_role: orchestrator (delegates to other 3)
• Other 3 have moe_role: specialist
• All use model: opus and enterprise_category: B
• Each agent includes complete /fm workflow examples with command sequences

2. Routing Skill (1 file)

Component	File	Purpose
Financial Model Personas	skills/financial-model-personas/SKILL.md	Persona routing decision tree + 10 workflow catalog entries

Key features:

• Decision tree routing user requests to correct persona
• 10 numbered workflows covering all 4 personas
• /fm command quick reference with persona ownership
• Multi-persona orchestration sequence (Analyst -> FPA -> Controller -> CFO)
• Composes with: analyzing-business-data, business-analytics-patterns, financial-analytics, saas-metrics

3. Orchestration Workflow (1 file)

Component	File	Purpose
FM Orchestration Workflow	docs/workflows/fm-orchestration-workflow.md	4-phase pipeline with Mermaid diagram

Phases:

1. Model Construction (Financial Analyst) -> foundation
2. Scenario Analysis (FPA Analyst) -> variants
3. Validation (Finance Controller) -> budget alignment
4. Strategic Review (CFO) -> board/investor materials

Quick-start workflows:

• Full Pipeline (all 4 phases)
• Investor Prep (phases 1 + 4)
• Monthly Operations (phases 1 + 2 + 3)

4. Validation Hook (1 file)

Component	File	Purpose
Financial Model Validator	hooks/financial-model-validator.md	Post-build output validation

Validation categories:

• Format completeness (file exists, non-empty, correct structure)
• Metric sanity (8 range checks: ARR, breakeven, burn, LTV:CAC, etc.)
• Reconciliation (revenue, cash flow, customer math, month continuity)

Pre-Existing Components (Leveraged)

The ecosystem builds on existing financial infrastructure:

Type	Count	Examples
Finance agents	50+	cfo-dashboard, financial-analytics, investor-metric-calculator, etc.
Finance commands	10+	/fm, /finance-review, /finance-build, /pitch-deck, /business-plan
Finance skills	5+	analyzing-business-data, business-analytics-patterns, saas-metrics
Engine	1	coditect_fm.py (ADR-177, ~2100 lines, 10 tables, 4 output formats)

Key distinction: The 50+ existing agents are generic finance specialists. The 4 new persona agents are specifically designed to wrap the /fm engine with role-appropriate command sequences.

Persona Hierarchy

CFO (orchestrator)
├── FP&A Analyst (specialist) — scenarios, sensitivity, forecasting
├── Finance Controller (specialist) — budget, controls, audit
└── Financial Analyst (specialist) — model building, valuation, DD

Routing Matrix

User Request Pattern	Routed To	Phase
"Build a financial model"	Financial Analyst	1
"Create business model"	Financial Analyst	1
"Compare scenarios"	FPA Analyst	2
"What-if analysis"	FPA Analyst	2
"Budget variance"	Finance Controller	3
"Audit trail"	Finance Controller	3
"Investor deck"	CFO	4
"Board presentation"	CFO	4
"Full financial package"	All (pipeline)	1-4

Quality Metrics

Metric	Value
Components created	7
Total estimated tokens	~14,000
Average quality score	81
ADR compliance	100% (all reference ADR-177)
MoE classification confidence	0.900-0.920
/fm commands covered	All 10 subcommands
Output formats covered	All 4 (xlsx, formula, json, csv)

Future Enhancements

1. Script automation — Python script to auto-route /fm requests to correct persona
2. Integration tests — Validate each persona workflow end-to-end against test database
3. Headcount/expense hooks — Additional hooks for /fm headcount and expense_ratio changes
4. Dashboard integration — Connect cfo-dashboard agent to /fm build --format json output

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Track: N.6.13 ADR: ADR-177 (Database-Driven Financial Model Engine)