Product · Growth · Operations
We put AI to work for your business.
Two founders who find where AI pays off in your product, growth and operations, build the systems, and stay on to run them as the models improve.
AI already does a growing share of the work inside businesses. The ones that put it to work spend less on every task and move faster. The ones that wait pay more for the same output, and lose ground to smaller, faster teams.
Why now
What we do
Where we put AI to work.
AI for productPlan, build and ship product with AI writing the first draft and a person on your team approving it.- Specs and roadmaps drafted from customer data
- Fixes pushed from your issue tracker
- Analytics you can question in plain English
AI for growthCreate content, follow up every lead and show up in AI search, with one person reviewing it all.- Posts and videos made from your own work
- Every new lead answered and followed up
- Named when buyers ask ChatGPT for a business like yours
AI for operationsTake the weekly admin off your team, log every run and hand the exceptions to a person.- Invoices matched and chased
- Hiring briefs, screening and scheduling
- Weekly reports written from your own numbers
Case studies
What we have put AI to work on, with the numbers.
- Case study · Mockey328posts moved off WordPress, then 70% of site commits co-authored by ClaudeHow we handed Mockey’s publishing and code to ClaudeRead the case study
- Case study · Shhots AI684%more new users from ChatGPT in a monthHow we grew Shhots AI’s new users from ChatGPTRead the case study
- Case study · Shhots AI71%of site commits co-written by Claude in Aug 2026How we had Claude co-write the code and kept out the slopRead the case study
- Case study · Blinkstore100K+stores, with servers under $100 a monthHow we kept 100K+ stores running for under $100 a monthRead the case study
The work runs without anyone chasing it.
Each system logs every run and hands the exceptions to a named person on your team.
New models reach you without a new project.
When a model or tool gets better, we test it on your work and propose the switch in the monthly report.
You see the hours and the cost every month.
A written report shows the hours returned, the tool spend and what we change next.
What changes
We stay on after the build.
Why now
The businesses using AI are pulling ahead.
- 3x
faster growth in revenue per employee in the industries most exposed to AI: 27%, against 9% in the least exposed, 2018 to 2024.
PwC, Global AI Jobs Barometer 2025 ↗ - 70%
of employees’ time goes on work that today’s AI and other technologies could automate. McKinsey puts it at 60 to 70%.
McKinsey, The economic potential of generative AI ↗ - 1.7x
the revenue growth of the 5% of companies built around AI, compared with the 60% that lag. Their EBIT margins are 1.6x higher.
BCG, The Widening AI Value Gap, 2025 ↗ - 13
months sooner: how much faster top AI start-ups reached $5M in recurring revenue than earlier software companies.
Stripe, 2024 annual update ↗ - 2x
AI projects done with an outside partner succeed about twice as often as internal builds.
MIT NANDA, via Fortune ↗
How an engagement runs
Diagnose. Build. Run.
- Book a call30 min
- Diagnose2 weeks
- Build3 to 6 weeks
- RunMonthly
- Two weeks
Diagnose
We find the gaps and opportunities where AI pays off in your business, and what to leave alone. You get a plan with numbers attached. Paid, and credited to the Build.
- Three to six weeks
Build
Fixed scope. We build the systems in your accounts, connect your data and agree the numbers we report on.
- Monthly
Run
We stay on as your satellite team and own your AI work. When a better model or a new opportunity comes along, we propose it, then build it.
How we are different
Why choose XYZ Lab?
Agencies sell one slice: SEO, or outbound, or a chatbot.
We work across your product, growth and operations.
Consultancies hand over a roadmap.
We hand over working systems, then run them.
Freelancers build, then leave. The system falls behind the models.
We stay on, and bring each better model to you.
Senior people sell, juniors deliver.
The two founders on the call do the work.
Who this is for
A good fit
- $2M to $20M in revenue, in any sector
- A founder or senior leader who owns the result
- Work that repeats every week in product, growth or operations
- No one in-house who owns AI
Not a fit
- Under $2M revenue. A good tool will serve you better
- Looking for a chatbot demo
- Enterprise procurement cycles
- No one senior to own the numbers with us
Recipes
Written by the people doing the work.
Operating EssayWordPress 7 can work with Claude. Here's why we still move clients off it
WordPress 7.0 put an AI Client in core, and an official plugin lets Claude call a site's functions. We still move business sites off WordPress, because the plugins, the bills and the slow pages stay where they were.
· Rajat and Mofid
TeardownWhat it costs to run a WordPress site in 2026
Hosting is a small part of a WordPress bill. Here is every line around it, from premium plugins to developer hours and retainers, with each price and where it came from.
· Rajat and Mofid
Operating EssayThe latest AI agent frameworks in 2026, and which one to build on
The AI agent frameworks that matter in November 2026, with their latest versions and whether they support MCP and A2A. What changed this year, what OpenClaw is, and how we pick a framework for a client's agent.
· Rajat and Mofid
Start with a call
Thirty minutes with both founders. Pick a time below. If there is a fit, a one-page agreement follows within 24 hours.
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