Task mining for small and mid-size teams

Task mining means observing how work actually happens on people's screens and letting software find the patterns, instead of asking people to describe what they do all day. Until recently, the only tools that could do this were built for enterprises with six-figure budgets and dedicated IT teams. And the only alternative was human consultants.

But if you run a 50-person company, a growing e-commerce brand, or a finance function with five people juggling spreadsheets and ERPs, you had two choices. Map your processes by hand (which rarely works, as we wrote about in Where to start with AI), or skip the visibility step entirely and hope for the best.

Most teams hope for the best.

Enterprise task mining

The big players in this space are UiPath, Celonis, and Mimica. They built really good products. But they are built for organizations with hundreds or thousands of employees, dedicated process excellence teams, and budgets to match.

This is why a typical enterprise deployment involves weeks of scoping, integration with your existing IT systems, custom dashboards, and ongoing analyst support. Gartner puts the average cost of a process mining initiative at $250K+. That number includes the software, the consulting, and the time your internal team spends managing the project.

For a company with 5,000 employees processing millions of transactions, that investment makes sense. But for a team of 10 or 50 people, the math does not work.

What smaller teams need

Smaller teams do not need custom dashboards or enterprise integrations. They need answers to two simple questions. What are we spending time on? And which of those things can AI or automation handle?

You need a tool that observes how work happens for a week and gives you a ranked list of workflows sorted by time spent and automation potential. This workflow takes 12 hours a week. This one takes 8. Here is which ones AI can handle today, and here is the estimated annual cost of each.

Now, that's something to work with.

How MemoryLane fills the gap

We built MemoryLane because we spotted this gap. Enterprise task mining worked, but nobody was making it accessible to smaller teams.

MemoryLane installs in about five minutes, runs securely and privately in the background as you work, and produces a prioritized list of what you can automate. Your data stays on the device. Screenshots are processed and immediately deleted. Zero-data-retention endpoints and on-premise deployment is available if you need tighter controls or a centralized rollout.

The best part is that it starts at $50 a month. And because you get useful results within the first week, it's a no-brainer in terms of value for money.

The visibility gap

We talk to a lot of teams that have already bought automation tools. They have n8n or Make or Zapier set up. They have access to Claude or Copilot. The tools are not the bottleneck.

The bottleneck is knowing where to point them. Without visibility, you automate whatever someone complained about last meeting. The workflow that quietly eats 15 hours a week goes untouched because nobody thought to mention it.

This is why task mining exits to close that gap.

Next steps

Start by getting visibility into how your team actually works. Try MemoryLane on the self-serve plan and get in touch if you need help with a customized rollout, security and data controls, analysis, or automation.