Artificial Intelligence
Custom LLM Integrations

Curious how much AI could actually move the needle for your engineering or operations team?
This quick calculator models the potential ROI, EBITDA impact, and valuation uplift
from automating everyday tasks with AI-enabled workflows.
Just plug in your team size, average cost, and expected productivity gains —
and see in seconds how even modest AI adoption can translate into
real, quantifiable business value.
Drive Innovation with AI
AI Savings Calculator
Estimated Impact
Tool Cost Per Developer: $1,200/year
Annual Net Savings (after tool cost): $0
5-Year Net Savings (incl. transition): $0
EBITDA Impact (annual run-rate): $0
Valuation Impact (EBITDA × multiple): $0
How we calculate:
Time saved on the role = % Automatable × (1 − 1 / (1 + Productivity Gain))
Annual Gross Savings = Employees × Salary × Time Saved
Annual Net Savings = Annual Gross Savings − (Employees × Tool Cost)
5-Year Net Savings = (Annual Net Savings × 5) − Transition Costs
EBITDA Impact (annual) = Annual Net Savings
Valuation Impact = EBITDA Impact × Multiple
Time saved on the role = % Automatable × (1 − 1 / (1 + Productivity Gain))
Annual Gross Savings = Employees × Salary × Time Saved
Annual Net Savings = Annual Gross Savings − (Employees × Tool Cost)
5-Year Net Savings = (Annual Net Savings × 5) − Transition Costs
EBITDA Impact (annual) = Annual Net Savings
Valuation Impact = EBITDA Impact × Multiple
How the AI Savings Calculator Works
This calculator estimates the financial impact of applying AI to routine (“automatable”) work across a team. It quantifies:
- Annual Net Savings (run-rate) from time saved minus tool costs
- 5-Year Net Savings after one-time transition costs
- EBITDA Impact (annual) — equal to Annual Net Savings
- Valuation Impact — Annual EBITDA impact × your selected EBITDA multiple
Use it to sanity-check magnitude before committing to a pilot or rollout.
Key Concepts (plain English)
- % Time on Automatable Tasks: Share of a role spent on repeatable, rules-based, or pattern-heavy work (e.g., ticket triage, first-pass drafting, test scaffolding).
- Productivity Gain from AI: How much faster the automatable portion becomes once AI is in the loop.
Interpreted as a speed-up: 0% = no change; 100% = 2× faster; 200% = 3× faster. - Transition Costs: One-time expenses to adopt AI (training, process design, prompt assets, integrations, change management).
- EBITDA Multiple: Rule-of-thumb for valuing incremental EBITDA (often 8–12× in software/tech-enabled services).
What the Calculator Assumes (math)
Variables
N= employees affectedC= fully-loaded annual cost per employeeA= % time on automatable tasks (0–1)G= productivity gain (%) as speed-up (e.g., 100 → 2×)T= one-time transition costsM= EBITDA multipleK= tool cost per developer per year (shown above results)
Derived
speedMultiplier = 1 + G/100savedOnAutomatable = 1 − 1/speedMultipliertotalRoleTimeSaved = A × savedOnAutomatable
Formulas
- Annual Gross Savings =
N × C × totalRoleTimeSaved - Annual Net Savings =
Annual Gross Savings − (N × K) - 5-Year Net Savings =
(Annual Net Savings × 5) − T - EBITDA Impact (annual) =
Annual Net Savings - Valuation Impact =
EBITDA Impact × M
Prefer the annual run-rate lens for EBITDA and valuation. Five-year totals are useful for budgeting but shouldn’t be divided by a multiple.
How to Use It (3 steps)
- Describe your scope
- Enter the number of employees whose work includes automatable tasks.
- Use fully-loaded cost (salary + benefits + overhead).
- Set your impact levers
- Adjust % Automatable to reflect how much of each role is pattern-heavy (20–40% is common in engineering orgs).
- Set Productivity Gain as the speed-up on that portion (e.g., 50–150% during early adoption; higher with mature prompts/agents).
- Add Transition Costs (training, pilot time, build vs. buy, integration).
- Sanity-check the outputs
- Focus on Annual Net Savings (run-rate) and Valuation Impact.
- Use 5-Year Net Savings to assess payback vs. one-time costs.
Example (typical mid-sized team)
- Inputs: N = 10 engineers, C = $150k, A = 30%, G = 100% (2× on automatable portion), K = $1,200, T = $50k, M = 10×
- Time saved:
0.30 × (1 − 1/2)= 15% of role time - Annual Gross Savings:
10 × 150k × 0.15= $225,000 - Tool Cost:
10 × 1,200= $12,000 - Annual Net Savings (EBITDA): $213,000
- 5-Year Net Savings:
5 × 213k − 50k= $1,015,000 - Valuation Impact:
213k × 10= $2.13M
Interpreting Results
- If Annual Net Savings is small or negative: Scope may be too broad, automatable share is low, or you’re early (transition costs dominate). Try a narrower, high-volume workflow first.
- If results look unusually large: Pressure-test A and G. Sustained 200–300% gains typically require productionized agents, clean knowledge bases, and process changes.
Good Input Ranges (to avoid wishful thinking)
- % Automatable (A): 10–50% for most knowledge roles; higher only with strong standardization.
- Productivity Gain (G): 50–150% for pilots; 150–250% for mature, well-tooled teams.
- Multiple (M): Use your board’s/banker’s; if unsure, start at 10× and sensitivity-check ±2×.
Limitations & Tips
- Adoption ramp: Real programs ramp (e.g., 25/50/75/100% through Year 1). Treat the calculator as steady-state; apply a ramp externally if needed.
- Quality guardrails: Time saved matters only if quality holds or improves (add reviews, evals, and rollback plans).
- Heterogeneous roles: If teams mix very different roles, run the calculator per role and sum results.
- Custom tool cost (K): Replace the default with your negotiated per-seat or per-usage economics.