AI Revenue Risk · CEO + CFO

How much of your revenue
is AI compressing?

Enter your ARR or billable revenue. In 60 seconds, get a 3-scenario financial model showing how AI-driven seat compression (SaaS) or billable-hour displacement (Professional Services) erodes revenue over the next three years — and what it means for your NRR or EBITDA.

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Your numbers, not a 1–5 scale

Conservative · Base · Aggressive

3-year horizon model

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Choose your sector

☁️

SaaS

Per-seat pricing models exposed to AI agent displacement of human users

Seat Compression

⚡

Professional Services

Time-and-materials billing exposed to AI automation of junior and mid-level hours

Billable-Hour Compression

This tool uses sector-calibrated compression rate assumptions based on observed AI adoption patterns. Results are indicative scenario models — not forecasts. © Plansix GmbH · board-agents.com

SaaS

Your Revenue Inputs

SaaS seat-compression model — 5 inputs, 60 seconds

Company name Optional

Annual Recurring Revenue (ARR) in €M

€

Enter total ARR in millions. Example: 12.5 = €12.5m ARR.

Please enter a valid ARR greater than 0.

% of ARR from per-seat pricing

75%

Include named-user, seat, and per-user licenses. Exclude usage-based, outcome-based, or flat platform fees.
Typical SaaS: 60–90%. Pure usage-based: 0%.

% of seat-priced ARR in high-risk categories

45%

High-risk (set 60–100%): workflow automation, process-centric CRM, project management, reporting/analytics, horizontal productivity tools, RPA/integration platforms.
Medium-risk (set 30–60%): ERP modules, sector-specific workflows.
Lower-risk (set 0–30%): data-of-record systems, compliance/audit tools, identity/access.

Current NRR Net Revenue Retention %

%

Used to calculate adjusted NRR after compression headwind. Typical SaaS: 95–115%.

NRR must be between 50% and 200%.

Company name Optional

Annual revenue in €M

€

Total firm revenue in €M — include all billing types.

Please enter a valid revenue figure greater than 0.

% revenue from time-and-materials billing

65%

Include hourly, day-rate, and per-FTE staffing revenue. Exclude fixed-price project fees, retainers, and subscription-based managed services (those have different compression dynamics).

% of T&M hours in automatable categories

40%

High-automatable (set 60–100%): junior research, data analysis, report drafting, slide production, data extraction, compliance checklist work, first-draft document review.
Medium (set 30–60%): mid-level analysis, structured deliverable production, quantitative modelling support.
Lower (set 0–30%): senior advisory, stakeholder facilitation, bespoke strategic judgment.

Average billing rate € per hour

€

Blended rate across all billable roles. Used to calculate FTE-equivalent displacement. Typical: €120–250/hr (consulting), €150–400/hr (advisory).

Please enter a valid billing rate.

Fixed cost base as % of total revenue

55%

Staff salaries, office, systems — costs that don't reduce automatically when revenue falls. Used to calculate EBITDA squeeze under each scenario. Typical PS: 50–70%.

Modelling your exposure…

Running Conservative · Base · Aggressive scenarios across 3 years

AI Revenue-Compression Analysis

Revenue at Risk Model

3-scenario model · Conservative / Base / Aggressive · Years 1–3

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⚠ High-severity exposure — personal strategy routing

Your exposure profile suggests a leadership and strategic positioning challenge that extends beyond financial modelling. The PA_Coach /role-review session helps CEOs and CSOs work through repositioning responses at the personal advisory level.

3-Scenario Revenue-at-Risk Model

Revenue at Risk by Year (€M)

Conservative

Base case

Aggressive

Compression Pressure Timeline

CEO-Level Implications

Next step

Build your response strategy

This model quantifies your exposure. The strategic response — repricing your architecture, accelerating AI-native differentiation, or restructuring your delivery model — requires a structured advisory session. The EX_CEO and EX_Pricing_CSO agents on BoardAgent are built for exactly this conversation.

EX_CEO

AI Strategy Session

Stress-test your AI strategy and build a CEO response plan using /ai-diag

EX_Pricing_CSO

Pricing Model Transition

Redesign pricing away from at-risk metrics before compression appears in NRR

STA_Pricing

Pricing Power Diagnostic

Run the 34Q pricing diagnostic to find where your pricing model is most fragile

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How much of your revenueis AI compressing?

How much of your revenue
is AI compressing?