Connected Intelligence · ROI Calculator
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What would connected AI return to your business?

A directional model grounded in published client benchmarks and standard Turing Labs commercial terms. Every assumption is exposed; adjust freely.

How this works. Three minutes. Start with a preset or configure your own inputs. You'll get a year-one impact estimate, a three-year projection, and a break-even month specific to your organization. Every assumption is exposed and adjustable; nothing is hidden.
Start with a use case
Or configure manually below
Pick a preset to load benchmark inputs drawn from Turing Labs client deployments, or configure your own scenario below.
Your organization
The number of employees who will actively use or benefit from the AI layer.
Research, reporting, data consolidation, prep work: tasks AI replaces directly.
Salary, benefits, and overhead combined. $120K to $160K for knowledge workers; $200K and up for senior roles.
Revenue impact

At your inputs, a +25% lift means your close rate goes from 14% to 17.5%. Typical ranges we see: 15-25% from AI lead prioritization alone, 25-35% when AI also handles meeting prep, account signals, and rep coaching. Set this based on the scope you are modeling.
Engagement shape
Turing Labs engages at a flat $25K/month. A 3-month pilot ($75K) is the typical starting point; most clients continue with a 12-month agreement ($300K) once value is proven.
Total investment at 12 months: $300K. Engagements can be scaled up to compress the roadmap by running workstreams in parallel; this model assumes a single sequential track.
Stress-test the model
Year 1 realized impact (ramped)
Year 1 realized value
$3.4M
Labor: $436K + Revenue: $3M · reflects discovery + ramp
Hours recovered
7K
year 1 (ramped)
Steady-state annual
$5.1M
year 2 onward
Break-even
Month 3
value ≥ investment
Year 1 is lower than steady-state because months 1-2 are discovery and data connection. Year 2 onward runs at the full steady-state number, compounded by growth each year.

3-year cumulative value
$15.9M
53.0x return on investment
Total investment
$300K
12 months × $25K/mo
Cumulative value vs investment (24-month view)
0$2.3M$4.6M$6.9M$9.2MStartM3M6M9M12M15M18M21M24Break-even: M3
Cumulative value deliveredCumulative investment paidBreak-even month
How this is calculated. Steady-state annual value is $5.1M ($650K labor savings + $4.4M revenue uplift). Year 1 applies a realistic ramp: 0% in months 1-2 (discovery and data connection), 25% in month 3 (first solution shipping), 60% in months 4-6, 100% from month 7 onward. That produces $3.4M in year 1 realized value. Years 2 and 3 run at steady-state, compounded at 15% per year. Investment is $25K/month for 12 months = $300K.
Sensitivity: what moves the needle
At steady state, revenue uplift (87% of total) drives the majority of annual return. That works out to $101K per person on the system.

The single biggest lever is hours recovered per person. Moving each person from 10 to 14 hrs/week of recovered time adds roughly $260K in steady-state annual value.
Your estimate

$3.4M in year one, break-even month 3, 53.0x over three years.

These figures are directional, grounded in published client benchmarks. Bring this estimate to a 30-minute working session with Turing Labs and we will pressure-test every assumption against your actual data: your real team, your real hours, your real close rates.

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