Financial model: the practice P&L

This is a worked operating model at three scale points — five, ten, and twenty clients — built on the base-case retainer of $15,000 per client per month (section 9). All figures AUD, salaries fully loaded (superannuation plus on-costs), and every load-bearing assumption is named and stress-tested below. The model’s defining property: revenue scales with clients, the cost base scales with senior headcount, and the production layer in between costs almost nothing — so margin expands with scale instead of compressing the way it does in a pyramid.

The P&L at three scale points

Three structural observations. First, the practice is profitable at five clients with three people — no external capital is required to reach viability. Second, margin expands with scale because adding clients adds compute and senior attention, not a junior bench. Third, the AI and platform line — the entire production layer — is roughly 1% of revenue at every scale point. In a traditional firm the production layer is the cost base.

What it takes to serve twenty clients

Cost assumptions

Fully-loaded annual costs, benchmarked against current Australian market data: Client Leader (Director/MD calibre) $280K–$380K, base case $300K; Engagement Architect (senior manager calibre) $165K–$220K, base case $185K; AI Facilitator $85K–$115K, base case $100K. The AI and platform line covers the full model stack — both one-off production and the persistent operate layer (the intelligence layer, monitoring, ongoing agents) — plus retrieval infrastructure, workflow tooling and SaaS: $6,600 to $18,000 a year at five clients, modelled conservatively at $12,000 and scaling sub-linearly.

What keeps that line at roughly 1% of revenue even with an always-on operate layer is architecture, not luck. We run a tiered model stack — on-prem/local models that are effectively free beyond infrastructure, open-weight models via API for routine volume, and frontier models reserved for the hardest judgment-grade calls — with routing deciding which tier handles what. One of the founders already runs exactly this hybrid in production (a locally-deployed ~27-billion-parameter open model alongside a frontier model, in a live quant system), so the cost-management approach is proven, not theoretical — and the local tier doubles as the model-portability hedge behind our sovereignty position. For calibration: a single junior analyst’s 40 hours of research costs a client $6,000–$12,000 through a traditional firm; the equivalent AI production run costs tens of dollars.

Pricing scenarios at five clients

The breakeven retainer with the full three-person team is roughly $10,500 per client per month. The first sensitivity below follows directly.

The sensitivities, ranked honestly

1. Retainer rate — existential, not aspirational. Moving from $15K to $10K turns a 30% margin into a loss. Pricing discipline is a survival behaviour: below ~$12K/month the model is sub-economic in any configuration, and section 9 sets the floor accordingly.
2. Clients per Client Leader — the single most load-bearing unvalidated assumption. The model assumes 6–8 embedded clients per senior (versus 2–4 traditionally), on the logic that AI removes the production drag. If the true ceiling is 4, year one needs a second Client Leader and the early profit disappears; if it’s 10+, the economics improve materially. The first engagements are instrumented specifically to measure this.
3. Second-senior quality. At ten clients the second Client Leader is ~30% of the cost base carrying ~half the relationships, with no junior buffer to hide behind. A mis-hire here is the most expensive single mistake available to the practice.
4. Compute cost — production and the persistent operate layer. The running cost is no longer only episodic production; the always-on operate layer consumes inference continuously. We manage it by architecture — routing across a tiered stack (local/on-prem ≈ free, open-weight API for volume, frontier reserved for the hardest calls), which a founder already runs in production. The residual risk is frontier-capability costs rising faster than routing and falling commodity inference can absorb; the ~1% share of revenue gives large headroom before it bites, and the tiered design is the hedge.

Where the model breaks

Stated plainly: retainers below ~$12K/month; failure to hold embedded relationships beyond 12 months; senior mis-hires at both Client Leader seats; or a quality ceiling (section 15) that forces senior time back into production. None of these is hidden in the averages — each maps to a specific test in the first year of operation.

What this model deliberately excludes

Client equity is not in these numbers. Formation-stage engagements in some markets carry small equity components (0.5–1% per engagement is common where it occurs), and a portfolio of such positions across a successful cohort would be a material second return layer. Whether this venture ever takes client equity is a live, deliberately open decision (section 9) with structural and independence implications — so the operating P&L above is built to stand entirely without it. If pursued later, it is upside on top of a profitable practice, never a substitute for an adequate retainer.

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