Management consulting firm

How a management consulting firm used AI agents to automate research and prep work

The client had high-value team members spending too much time on research, prep, and repetitive information work that needed speed and consistency more than human originality.

Snapshot

Automation Geeks deployed a custom AI agent suite that handled inbound support, prospect research, outbound prospecting, and pre-call prep inside a consulting workflow.

20+ hours of weekly research and prep work automated.

Faster turnaround on support and prospecting workflows.

Clearer internal confidence about where AI helps and where humans should stay in the loop.

The challenge

What was slowing the business down

Junior and senior team members were losing hours every week to repetitive prep work.

Context was spread across different systems, which made support and research slower than it should have been.

The firm wanted AI leverage without introducing a loose agent that could make uncontrolled decisions.

The build

What Automation Geeks put in place

A custom suite of narrow AI agents for inbound support, research, prospecting, and pre-call prep.

Clear routing rules, escalation paths, and context sources for each agent job.

A workflow that surfaced the right outputs to humans instead of forcing humans to wrangle raw AI output.

Before

Research and prep tasks expanding to fill full workdays.

Support and information gathering slowed by scattered context and inconsistent follow-through.

High-cost human time spent on repetitive coordination instead of strategy.

After

Research, prep, and first-pass support compressed into minutes.

Humans step in with better context and less low-value setup work.

The team gets leverage without losing control over quality.

Results

Better client experience, less manual drag, more room for the real work.

20+ hours of weekly research and prep work automated.

Faster turnaround on support and prospecting workflows.

Clearer internal confidence about where AI helps and where humans should stay in the loop.

Implementation notes

What made the system work

The win came from tight scope and good context, not from trying to automate everything at once.

Each agent had a specific job, defined inputs, and an obvious handoff path.

The system was designed to make consultants faster, not to replace consulting judgment.

Keep exploring

Want to see where a system like this could create leverage in your business?

Start with the AI Strategy Report if you want ideas tailored to your workflow, or book time with us if you already know the bottleneck and want to move.