2.1 Hours/Day Admin Time Saved, +65% Reply Speed, -85% Missed Follow-Ups
US Technology Consultancy (35 Consultants, Distributed Team)
“Jarvis Bot gave our consultants back 2 hours a day. But the thing nobody expected was how much better our client communication got — the AI reply suggestions are faster and more consistent than what most people were writing manually. It's like giving every consultant a personal executive assistant.”
— Managing Director, US Technology Consultancy
The Background
A US-based technology consultancy with a distributed team of 35 consultants working across 4 time zones. The team relies heavily on email, Slack, and calendar tools to coordinate client engagements, but productivity was hampered by context-switching and manual administrative overhead.
| Team Size | 35 consultants + 5 operations staff |
|---|---|
| Volume | 400+ emails, 200+ Slack messages, 30+ meetings/day (team-wide) |
| Engagement | Fixed-cost build + optimization retainer |
| Platform Access | Desktop app (Windows & macOS) — demo on request |
The Challenge
- Consultants spent 2+ hours/day on administrative tasks: drafting replies, scheduling meetings, tracking follow-ups, and searching for context across tools.
- Context-switching between email, calendar, Slack, and documents was costing each consultant 45+ minutes/day in lost focus.
- Multilingual client communication required manual translation, adding 20+ minutes per international email exchange.
- No systematic way to surface relevant information at the right moment — consultants missed follow-ups and duplicated work.
- Management had no visibility into team workload or communication bottlenecks.
Our Approach & Technical Decisions
Foreignerds built Jarvis Bot — an AI-powered desktop productivity assistant that monitors user context, automates routine tasks, drafts intelligent replies, and manages schedules across platforms.
- Electron.js for cross-platform desktop app — delivers a unified experience on Windows and macOS with a lightweight, non-intrusive overlay that runs alongside existing workflows.
- ScreenPipe for context capture — securely monitors on-screen activity to understand what the user is working on and surface relevant suggestions without requiring manual input.
- Python AI engine for decision-making — processes context signals, identifies actionable tasks, generates reply suggestions, and learns from user behavior patterns.
- Multilingual translation — real-time translation across 12 languages for email and messaging, maintaining professional tone and context.
- Smart scheduling automation — creates meetings, reminders, and follow-up tasks based on conversation context and calendar availability.
Implementation Timeline
Technology Stack
Measurable Results
- Administrative task time reduced by 2.1 hours per consultant per day — reclaimed for billable client work.
- Email reply speed improved 65% through AI-generated contextual suggestions.
- Context-switching reduced by 40% as the assistant surfaces relevant info within the active workflow.
- Missed follow-ups reduced by 85% through proactive reminders and task tracking.
- Multilingual communication time reduced by 75% with real-time professional translation.
Post-Launch & Ongoing Engagement
The client signed a $3,200/month retainer for AI model optimization, new workflow automations, and monthly usage analytics. Phase 2 planning includes CRM integration and client-facing meeting summaries.