A Founder's Diagnostic · 5 Questions · 3 Minutes

The Services-as-Software Diagnostic

In 2026, "services-as-software" became the label every AI founder was told to put on the company. The implied multiple climbed to 50–100x revenue. SaaS collapsed to 5–10x. The 10x valuation spread between the labels is now the most contested positioning question in venture capital.

Most of the companies pitched as services-as-software aren't. This diagnostic tells you which side of the line yours actually sits on.

What you'll getA category match, a margin read, and a specific action.

What it costs3 minutes. No email required.

Where it comes fromThe diagnostic I run with founders inside the Investor Readiness Vault™.

Part 1 · The Deliverable Test Question 1 of 5

1

Who produces the deliverable the paying customer actually uses?

Not who builds the tool. Not who runs the workflow. Who is legally and operationally responsible for the artifact or outcome the customer is hiring you to provide?

My company produces and delivers it directly

Our AI completes the work end-to-end. Customer receives a finished outcome from us. We carry the liability.

Our employed credentialed humans produce it, with AI assistance

We hire licensed plan reviewers, CPAs, paralegals, or other credentialed professionals. AI accelerates their work. We deliver to the customer.

A licensed professional who is our customer signs and delivers it

Our customer is a lawyer, doctor, CPA, or financial advisor. They use our product to produce work they then review and sign under their own credentials.

Our customer uses our product to do their own work

No professional signature required. The customer uses our platform to execute their own workflow and produces their own deliverables.

Part 2 · Term Sheet Diagnostic Question 2 of 5

2

What is your real gross margin at scale?

Not your projected gross margin after fictional inference price drops. Your current gross margin — or your honest run-rate forecast at 5x current revenue.

75–90%

Traditional SaaS economics. Near-zero marginal cost per user.

60–74%

AI-augmented SaaS. Inference adds variable cost but you're still in the software margin band.

50–60%

AI-native typical. Every customer action is paid compute. ICONIQ's 2026 average sits here at 52%.

40–60%

Tech-enabled services. Labor cost instead of (or alongside) inference cost.

Below 40%, or honestly unsure

Worth pressure-testing before your next raise. The number is the conversation.

Part 2 · Term Sheet Diagnostic Question 3 of 5

3

Who controls your largest variable cost?

If a supplier can move your gross margin 20% in a quarter, your unit economics are someone else's pricing decision.

Our employees (W-2 or contractor labor)

Predictable, manageable. Wage inflation is gradual. No supplier shocks.

Frontier model inference (Anthropic, OpenAI, Google)

Supplier-controlled. Pricing can move 20–30% on a quarter's notice and has before.

Cloud infrastructure (AWS, GCP, Azure)

Mostly stable. Pricing changes are gradual and well-flagged.

A mix — no single supplier is the majority

Diversified exposure. Moderate predictability depending on the mix.

Part 2 · Term Sheet Diagnostic Question 4 of 5

4

What is your category's actual M&A comp set?

Not the aspirational comp set. The deals that have actually closed in your vertical in the last 18 months. The buyers and multiples tell you what your exit looks like.

AI-native category leaders (10–25x revenue)

Recent comps include Sierra, Decagon, Harvey-tier exits or growth rounds.

Established SaaS (5–7x revenue)

Strategic acquirers paying SaaS multiples for category leaders in your vertical.

Services / BPO / vertical strategics (1–3x revenue)

Median IT services M&A clears at 1.3x revenue. Strategic vertical buyers, PE rollups.

Honestly unclear — no recent comps in our exact category

Either you're building a genuinely new category or you haven't done the comp analysis.

Part 2 · Term Sheet Diagnostic Question 5 of 5

5

Does your pricing scale with cost, or independent of it?

The relationship between how you make money and how you spend it determines whether usage spikes help you or hurt you.

Outcome-based pricing

We charge per completed action, resolved ticket, processed document, or delivered result. Revenue and cost scale together.

Usage-based pricing

We charge per query, per API call, or per active user with usage tiers. Variable but mostly aligned with cost.

Hybrid (subscription + usage component)

Base subscription plus overage charges. Moderate alignment but exposed if usage shifts.

Seat-based or flat subscription

We charge per user or a flat annual rate. Customers pay the same whether usage doubles or halves.

Your Diagnostic Result

What this means

Watch-outs

Your action

If your result surprised you

Get your positioning right before diligence asks.

The Investor Readiness Vault™ is built for exactly this work: getting your category positioning, margin story, and diligence file aligned with the actual business you're building — before a partner asks the question that changes your term sheet.

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