Workflow audit
We map how the work is done today, estimate the hours each step costs, and rank what to automate first by payoff and risk. You keep the document whether or not we continue.
DISCOVERYWe find the repetitive work in your business, such as sorting an inbox, copying data between tools, or drafting the same documents, and build AI workflows that do it reliably. A person approves the steps that need judgment, and every run is logged.
Good candidates for automation are frequent, follow rules a person could explain, and have a result someone can check.
The same details are typed from email into a spreadsheet, then into the CRM or the accounting system. Each copy costs time and adds errors.
Someone reads every support request, lead or application to decide where it goes and how urgent it is, before any real work starts.
Invoices, contracts, forms and reports arrive as PDFs, and a person extracts the same fields from each one.
The demo looked good, then it gave a wrong answer and nobody trusted it. It needed tests, approval steps and logs, not a better prompt.
We start with one workflow, put it into production, and measure it. The second one is faster because the foundation is already there.
We map how the work is done today, estimate the hours each step costs, and rank what to automate first by payoff and risk. You keep the document whether or not we continue.
DISCOVERYClassification, field extraction and routing for invoices, contracts, forms and inboxes, with a confidence score that decides when a person takes a look.
INTELLIGENT DOCUMENT PROCESSINGInternal tools that answer questions from your documents, tickets and databases, cite their sources, and respect who is allowed to see what.
RETRIEVAL & KNOWLEDGEAgents that take actions in your systems through their APIs, and MCP servers that let Claude or ChatGPT work with your product safely.
AI AGENTS · MCPFirst drafts of replies, proposals, summaries and weekly reports, written from your data in your format, ready for a person to edit and send.
GENERATIONEvaluation suites that catch regressions, approval steps for risky actions, a log of every run, retries that resume after a failure, and a known cost per run.
EVALS · MONITORINGA workflow that runs your business has the same requirements as any production system: it must handle bad input, recover from failures, and show what it did. I’m Ran Magen, the founder, and building systems like that has been my job for 25 years.
An AI learning app for kids. I run the technical side of the company: the Go backend, the cloud infrastructure, and how we ship.
I build, launch and support products with paying customers, Lemonvite among them, and I lead every client project. It taught me what engineering work a business needs.
I was the technical lead for backend engineering productivity. I led the migration to GraphQL Federation, set Protobuf standards across more than 700 repositories, and founded the Server Foundations Guild.
I worked on backend infrastructure and Federation, and wrote the next-generation Federation gateway in Rust.
I built AWS Elemental MediaConnect, a live video transport service, from its first line of code.
I was the tech lead for Timelines infrastructure: Home, Profile and Notifications. I owned tweet fanout, the system that writes each new tweet into its followers’ timelines, for hundreds of millions of users.
I built distributed systems at Dapper (acquired by Yahoo), my6sense, and Worklight (acquired by IBM), after eight years building for the web.
We use the same techniques in products of our own, where real people depend on the result.
An MCP server that lets Claude and Codex create, send and track invitations. Listed in the official MCP Registry.
02Turns a few answers into a complete demand letter in minutes.
03Generates a dog training plan from each owner’s answers about their dog.
04A Go library for pipelines that checkpoint every stage to Postgres and resume where they stopped after a crash.
05A local emulator for Google Cloud Workflows, so workflows can be tested before they are deployed.
You describe a process. We show you a comparable workflow running, and we work out what yours would take.
We map the process with the people who do it, then send a written proposal: what gets automated, what stays with a person, the expected saving, and the price.
We build the workflow against real examples from your business and measure how often it is right before it touches live work.
It goes live with approval steps and logging. Once the numbers hold, we reduce the approvals and move to the next workflow.
Something else? Write to ran@lemonberrylabs.com.
Work that is frequent, follows rules a person could explain, and has a result someone can check: sorting and answering email, extracting data from documents, moving information between systems, drafting replies and reports, and answering questions from internal knowledge. Work that depends on relationships or on judgment nobody can describe stays with people.
Models from Anthropic, OpenAI and Google, chosen per task by accuracy and cost. We connect them to the tools you already use through their APIs, including email, spreadsheets, CRMs, accounting systems, help desks and internal databases.
Workflows run in your own cloud and vendor accounts, with access limited to what each step needs. We use the providers' API offerings, which by default do not train on your data, and we document where every piece of data goes.
We design for it. Each step has a confidence check, risky actions wait for a person's approval, every run is logged so mistakes can be traced, and an evaluation suite built from your real examples catches regressions before a change goes live.
We start with a single workflow so you see a result in production quickly. The timeline depends on how many systems it touches and how clean the data is, and the proposal gives you a date.
The audit and each workflow are priced separately in a written proposal, alongside an estimate of the hours it saves. Running costs for models and hosting are estimated up front and monitored after launch.
No. We build, deploy and maintain the workflows. We need time from the people who do the work today, because they know the rules and the exceptions.
Backend systems, infrastructure, web front ends, AI integrations, Mac apps and mobile apps.
ALSO FROM THE STUDIOTechnical leadership coaching and interview preparation for senior, staff and principal engineers.
Describe one process and we will show you what automating it looks like.
Or write to ran@lemonberrylabs.com.