Why These Five?
I've built over 15 AI agents at Dig Solutions. I've worked with manufacturing, e-commerce, agencies, and service businesses. Some workflows are hairy to automate. These aren't.
They're easy because they follow clear rules, they happen regularly, and they don't require subjective judgment. They're impactful because they eat a lot of time. They deliver fast ROI because the implementation is straightforward.
1. Report Generation and Compilation
Your team pulls data from multiple sources, formats it, writes it up, sends it out. Every week, every month, every quarter.
AI can do this. Specifically: pull the data, structure it, write the summaries, format for delivery. Not just the routine part — the writing part too.
We built an agent that handles this for our client reports. Takes 40 hours of manual work down to 4 hours of review and customization. The agent writes better than most people do anyway because it's consistent and thorough.
2. Email Triage and Response
Your team gets 50+ emails a day. Some need immediate attention. Some need routing to the right person. Some are just information.
An AI agent can read your emails, categorize them, flag the urgent ones, draft responses to the routine ones, route the rest. Your team spends 2 hours a day in email. This cuts it in half.
3. Data Entry and Integration
Orders come in through multiple channels. Customer data lives in three different systems. Reports require manual spreadsheet updates.
This is the poster child for automation. If humans are typing data from one place to another, an AI agent can do it faster and with zero errors.
4. Customer Research and Initial Outreach
Your team needs to research prospects, pull their social media, find their contact info, draft initial emails. This is either expensive when you hire someone or time-consuming when you do it yourself.
An agent can do the research — pull website info, LinkedIn profiles, recent news, competitor landscape. Then draft a personalized outreach email. The agent can't close deals, but it can do the legwork that currently takes your team hours per prospect.
5. Meeting Prep and Follow-Up
Before a client call, your team pulls historical data, reviews past conversations, prepares talking points. After the call, someone summarizes what happened, logs action items, updates the CRM.
An agent can do both. Pre-meeting: pull everything relevant and create a one-page brief. Post-meeting: transcribe, summarize, extract action items, update your system of record.
Start With Your Bottleneck
Look at these five and ask: "Which one wastes the most hours for my team right now?" That's your starting point. Not because it's the most sophisticated. Because it's the most valuable.
The first AI win doesn't need to be flashy. It needs to work and deliver obvious ROI. When your team sees that working, the next project is easier to sell.