The future of work
Lucy is an AI coach that lives on your computer. She spots the task execution worth offloading, points you at the right tool, and walks you through building the solution yourself. You own the choice. The work runs on its own.
She walks you through building the solutions your work actually needs. Automations. Agentic workflows. Custom software when that's the right answer. Solutions to the problems you've always seen but never had the time or tools to fix. All without learning to code.
Lucy is in early access with our first design partners. Available today: Lucy-Observation — workflow intelligence and AI competency assessments. Coming through 2026: the live coaching agent and built-in solution-builder. Contact us for pilot scope →
Where the value shows up
Productivity. Software spend. Risk. All measurable from a baseline we build with you before anything ships.
Lucy sees how long your tasks take when she starts working with you, then quantifies how much faster you become after she helps you find the right tool and build the right approach. Per-workflow, per-person. No proxy metrics.
Example: A 4-hour Monday deck becomes a 30-minute review. 3.5 hours a week, ~180 hours a year — per person.
Visibility shows you the licenses no one opens. The 6,000-seat E3 deal where no one touches OneNote becomes a renegotiation. And when you can prompt the missing tool into existence, you stop adding SaaS subscriptions that half-fit.
Example: Cancel the underutilized seats.
Build the just-in-time solution yourself instead of waiting six months for IT to deploy a new vendor.
You can't secure what you can't influence. When you know AI, you don't reach for risky tools — you know which ones to use and why. Shadow AI disappears not because it's blocked, but because it's unnecessary.
Example: 78% shadow AI adoption drops to near zero when approved tools actually solve the problem.
The unofficial spreadsheets. The Slack DMs that make up for missing tools. The 47-step reality behind the 12-step flowchart. What you use, what you need, and what's missing. The three outcomes above all rest on this.
Measured in numbers you can take to the board.
Twenty years scaling category-defining companies. Built Virtustream from $0 to $50M ARR (Dell acquired for $1.3B). Led Zscaler programs that delivered $98M attributable ARR in a single fiscal year. Then proved the AI thesis by building Lucy Labs himself — 18 days, ~$20K — using exactly the human-and-AI approach Lucy now coaches.
Read the full founder story →How Lucy works
Each stage requires the one before. Skip any of them and the rest collapses. Read the full thinking →
Where you are vs. where you can go
Where you are right now is fine. Here's where you can go.
You use AI like Google. Ad-hoc questions, occasional prompts. Useful, but it doesn't change much about your day. Most people stop here because nobody coached them on the next step.
You know how to use AI well. Prompting, iteration, knowing when to trust the output and when to push back. The universal capabilities every AI-fluent person has.
AI for what you actually do. Sales calls, financial models, code reviews, customer comms. AI stops being a chatbot and starts being a tool that fits your work.
You build the things that take work off your plate. Agentic workflows that run on their own. Custom tools when no SaaS fits. In days, not months. No code required.
Most people today are stuck on rung 1. Lucy gets you to rung 2 — where about 70% of the value lives. From there, you decide how far you want to climb. Maybe rung 2 is enough. Maybe you go all the way to building solutions yourself. Either way works.
Thousands of online classes try to drag you from rung 1 to rung 2. They mostly fail because they teach in the abstract. Lucy does it in the moment, on your actual work, until the technique becomes muscle memory.
Here's what rung 4 looks like in practice ↓
Rung 4, in practice
Imagine your world like this. Pick the tab closest to your work.
You spend about an hour summarizing your notes, designing the solution, drafting the quote, writing the follow-up email. With three meetings a day, that adds up fast. Either you work 80-hour weeks to stay ahead — or things slip, you forget the follow-up, you take too long, and the deal goes quiet.
"You've spent about 30 hours on meeting follow-up in the last two weeks." Then she walks you through building an agent that summarizes your notes, designs the solution, drafts the quote, and drops the email in your draft folder. About two hours to build it together.
Every follow-up draft lands in your inbox before the next meeting starts. You review, hit send. Two hours up front, fifteen hours back every week from then on. (Hover to see what lands in your inbox.)
About an hour after each of your 30 customer calls — summarizing notes, designing solutions, drafting quotes, writing emails.
There's an agent pattern that does all four and leaves the email in your drafts ready for you to review. We can build it together in about two hours. After that, your follow-up is done before the next meeting starts.
Lucy's coaching nudge — the moment she surfaces the pattern. You decide whether to engage and you build the agent yourself.
The draft your agent dropped in your inbox while you were walking back to your desk. You review and send.
You spend 60 to 90 minutes catching up. Overnight Slack threads. Three news sites. Last week's deal updates. Today's calendar. Either you start the 9 AM already behind, or you skip something and miss the one thing that actually mattered today.
"You've spent about 12 hours on morning catch-up in the last two weeks." Then she walks you through building an agent that pulls overnight signals, summarizes what changed, and drafts your priorities against today's calendar. About two hours to build it together.
Your brief is in your inbox at 6 AM. Today's three priorities. What changed overnight. What you actually need to think about. Two hours up front, six hours back every week from then on. (Hover to see your brief.)
Slack threads, news sites, deal updates, calendar — about 75 minutes every morning before the day really starts.
There's an agent pattern that handles all of that overnight and drops your brief in your inbox at 6 AM. We can build it together this afternoon — about two hours. From then on, you walk in already informed.
Lucy spots the recurring Monday pattern. She offers to walk you through building the agent. You're the one who builds it.
The brief your agent generated overnight. You read it with coffee, before the day starts.
You figured out how to prep for a QBR in 20 minutes instead of two hours. You shared the trick with one teammate informally. Three months later, the rest of the team is still doing it the slow way. Your expertise didn't scale — and your company is paying for it on every timesheet.
"Your QBR-prep agent has been used 14 times in the last two weeks — about 24 hours saved. Three teammates are still doing the same prep manually. That's another 70+ hours your team is spending on a problem you've already solved." Then: can she adapt your agent for them, customized to their accounts? You say yes. Or no. Either way, you stay in control.
Your name on the pattern. Their choice to adopt. The team's QBR prep collapses from two hours per person to twenty minutes. You become the person whose work shapes the team — not by writing documentation, but by actually shipping. (Hover to see how it lands in the team channel.)
14 runs in the last two weeks. About 24 hours of your time saved.
Three teammates are still doing QBR prep manually — that's another 70+ hours your team is spending on a problem you've already solved. Want me to adapt your agent for them, customized to their accounts? You stay credited. They each decide whether to adopt it.
Lucy asks before sharing — your pattern, your call. The team gets to choose whether to adopt it.
Lucy posts your pattern in the team channel. Your name on it. Their choice to adopt.
Trust and data
We're not interested in what you said. Only in understanding your flow to help you get your work done faster.
Real-time view of everything we capture. Search it. Redact it. Export it.
AES-256 at rest. TLS 1.3 in transit. GDPR + SOC 2 (target). EU data residency available.
Pause anytime. Delete anytime. Export anytime. One click each.
Design partners · Q2 2026
Two slots left. 10–50 users. 60-day commitment. Co-designed scoping. You get early influence. We get real workflows to build against.
From Lucy Labs
The five-stage framework for actually changing behavior with AI. Why every other order fails.
Why "privacy by design" can't be a marketing line. The eight subsystems of trust, how they stack, what breaks when you miss one.
People are bad at exponentials. Not a little bad. Really bad. The paper-folding problem, applied to your AI roadmap.
A free education tier on every plan. Dream bigger. Go faster. Do more than you thought possible.