Estimate how much your business could save by automating manual tasks. Adjust the sliders to match your team and see instant results, no signup required.
Estimates use 70% automation efficiency, 50 working weeks per year, a 1.5× error cost multiplier, and a conservative $50k implementation cost. Actual results vary based on business complexity and implementation approach.
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Each number paints a piece of your automation ROI story.
The total employee hours freed up each year when 70% of manual, repetitive tasks are automated by AI workflows.
Direct labour savings plus error-reduction savings. Accounts for the fully loaded cost of employee time and rework from manual mistakes.
Net return on your automation investment after implementation costs. Compares your annual savings against a $15K–$50K project budget.
How many months until your automation investment pays for itself. Most businesses break even within 3–6 months of going live.
Invoice processing, data entry, customer follow-up, report generation, scheduling, and document handling. These are the manual processes our clients automate most often, and where the hours in your calculation come from: high volume, clear rules, measurable time per task.
Invoices, forms, contracts, receipts extracted and routed automatically.
Incoming emails categorised, prioritised, and answered with AI-drafted replies.
Leads scored, segmented, and nurtured with personalised outreach sequences.
Common questions answered instantly by AI chatbots and voice agents, 24/7.
Weekly/monthly reports generated automatically from live data sources.
Appointments booked, reminders sent, calendars synced, without human help.
How our calculator assumptions compare to published research on AI automation.
McKinsey estimates 60–70% of employee tasks have automatable components. We use the midpoint for conservative estimates.
Fixing manual errors typically costs 1.5–3× the original task time. We use 1.5× (the lower bound) to keep estimates realistic.
Based on our project history. Simple automations start at ~$15K; multi-system integrations with custom AI scale up to $50K+.
Deloitte reports AI automation projects achieve payback in 6–12 months on average. Our clients typically see faster returns.
“The ROI numbers here matched what we actually saw in our first quarter, almost to the dollar. It's the first calculator I've used that wasn't fantasy.”
“Used the calculator, booked the call, shipped the first automation eight weeks later. Payback landed under four months.”
“The methodology is refreshingly conservative. Made it easy to defend the investment internally.”
A 2-minute assessment that scores your organisation and recommends the specific services to start with.
Take assessment →Anything else, book a free 30-minute call. We'll validate these numbers against your real workflows.
It provides conservative estimates based on industry averages. We assume 70% of manual hours can be automated and factor in error reduction. Actual results often exceed these estimates. For a detailed analysis, book a free consultation.
Anything rules-based and repetitive: data entry, document processing, email triage, lead qualification, reporting, scheduling, and Tier-1 customer support are the most common wins.
Most first automations ship in 4–8 weeks. Larger multi-system builds land in 8–12 weeks. We scope in phases so you see value before the full rollout.
Simple automations start around $15K; deeper multi-system integrations with custom AI scale up to $50K+. We scope to fit your budget and payback target.
Yes, small teams often see the highest ROI because every hour saved matters more. We routinely work with teams of 5–50.
They move off repetitive work and onto higher-value work: strategy, relationships, exceptions. Automation lifts the ceiling, it doesn't shrink the team.
Pick a time and we'll validate these numbers against your actual workflows, with a custom automation assessment and a concrete implementation plan.