Case Studies
Proof,
not demos.
Real engagements. Real numbers. Most clients are under NDA, so we describe the work and the outcomes without naming the firm.
Clients we have worked with
Client review
We were impressed by the speed and responsiveness of Bace Agency's team.
Oleh Bilyk, President and CEO, Speakr LLC ★★★★★ 5.0
Case 01 Insurance · North Shore
Insurance
From AI-Skeptical to 37% More Productive in 8 Weeks
The problem
The team had heard of AI but had no practical experience applying it. There was no shared understanding of where it fit into daily work, and no one had been trained on how to use it effectively.
What we built
We built an end-to-end document automation pipeline.
Case 02 Translation Services · Chicago
Translation
Quote Time: 24 Hours to 4 Minutes. Translator Match: 2 Days to 3 Hours.
The problem
Requests arrived via email, phone, web form, and text. Each one required manual assessment of language pair, word count, complexity, and certification needs. Average time to quote was over 24 hours; after-hours requests waited until the next business day.
What we built
We built an AI-powered translator matching and discovery system that auto-assigns projects and continuously expands the translator network.
Case 03 Family Office · North Shore
Family Office
AI Training + Process Automation: 32 Hours/Week Reclaimed
The problem
The principal wanted every team member, from senior analysts to administrative staff, proficient in AI tools. Not a one-off session, but a structured program with accountability and measurable adoption.
What we built
We automated 8 core business processes across the office.
QuestionsWhat owners ask
What kind of results do firms see?
Engagements typically target twenty to thirty recovered hours per week, faster client response times, and lower document-processing error rates, with team adoption inside a few weeks. The exact gains depend on your firm's workflows.
Why are your case studies anonymized?
We work with insurance agencies, law firms, and financial advisors that handle confidential client data, so most engagements are covered by confidentiality agreements. We describe the work and the outcomes without naming the firm.
How do you measure whether an AI project worked?
We baseline the current process first: hours spent, error rates, and response times. After the system goes live we measure the same metrics, so the result is a real before-and-after for your firm, not a generic benchmark.
How can I see what this would look like for my firm?
Book a call. We map your actual workflows and show where automation would have the biggest impact, with a fixed-price proposal and no obligation.