Guide

Professional Services, Engineering and Management Consulting

Koray Çetintaş 27 November 2025 2 min read

For engineering and management consulting firms, the work comes down to three things: projects, multiple clients, and the hours you spend. Try to track all three by hand and you lose sight of whether a project is actually making money, while clients wait on you. Here’s how one mid-sized consulting firm got that under control.

Client Profile

An engineering and management consulting firm. 20 consultants, 15+ active projects running at once, and 50+ firms in the client portfolio.

Challenges Faced

  • Lack of Time Tracking: Nobody could say with certainty how much time each consultant put into a given project, so working out profitability project by project was simply out of reach.
  • Project Coordination Difficulties: Project plans lived in one place, documents in another, and meeting notes somewhere else entirely. Finding a single piece of information was a task in itself.
  • Billing Delays: Even once a project wrapped up, getting the invoice out could take weeks, and that hit cash flow directly.

Solution Approach: Project-Based Management System

  • Digital Time Entry: Each consultant’s time on a project is recorded automatically, so profitability reports are there the moment you need them.
  • Centralized Project Environment: Plans, documents, tasks, and correspondence all sit on one platform. Clients and team members now look at the same information.
  • Automated Billing: Invoices go out automatically as the project moves through its stages, with approvals and payment tracking handled in the same place.

Achieved Results

  • 100% visibility into project profitability
  • Invoice turnaround cut from 3 weeks to 2 days
  • Consultant productivity up by 30%
  • Client satisfaction scores up by 25%

About the Author

Koray Cetintas is an advisor specializing in digital transformation, ERP architecture, process engineering, and strategic technology leadership. He applies a "Strategy + People + Technology" approach shaped by hands-on experience in AI, IoT ecosystems, and industrial automation.

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