Real work. Real numbers.
We measure every engagement the same way: hours back, dollars saved, decisions made faster. Here’s what that looks like in practice — anonymized, but every number is real.
One reporting agent gave this team two days a month back.
The challenge
The team was spending roughly two full days every month compiling and writing weekly project-update emails — pulling status out of different tools, formatting it, and sending a tailored summary to each stakeholder.
It was exactly the kind of work that feels like overhead because it is: repetitive, rule-based, and pulling people away from billable client work every single week.
What we built
We built an AI agent that reads their project activity, drafts the weekly summary email for each project in their voice, and hands it over ready to send. A human still reviews and sends every update — the agent does the compiling, formatting, and writing.
No model training, no rip-and-replace of their systems. A well-scoped agent pointed at one painful, repetitive task.
The outcome
The team went from writing updates to glancing at them. That’s two full days a month returned to actual client work — every month, automatically.
Because the win was narrow and measurable, it also built the internal confidence (and the business case) to automate more.
Want a number like this of your own?
Tell us the workflow that hurts. We’ll scope the automation that takes it off your plate — and tell you honestly if AI isn’t the answer.
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