How to Prompt AI for Operations
The best AI prompts for operations teams in 2025. Automate vendor research, financial analysis, project tracking, and reporting without the manual overhead.

TL;DR: Operations absorbs a lot of repetitive, high-stakes work: vendor comparisons, budget tracking, project status updates, report generation. AI can take most of that off your plate if you prompt it with specific output requirements and set recurring tasks up as Routines.
Operations is the function that makes everything else work. It's also the function that tends to absorb the most manual, repetitive work: tracking vendors, monitoring budgets, pulling reports, keeping projects on schedule, coordinating between tools that don't talk to each other.
McKinsey's 2025 research found that teams using AI for operations spend 20 to 30% less time on data work alone. AI won't replace good operational judgement. But it can take the repetitive parts off your plate, which frees you up to use that judgement where it matters.
What can AI do for operations teams?
Research vendor options and summarise them for a comparison. Pull financial data from documents and flag anomalies. Monitor project trackers and surface what's falling behind. Set up automations that keep your team updated without someone manually sending the update. Draft proposals, SOPs, and reports from notes or existing documents.
What we see making the biggest difference is chaining research and production together. Before comparing vendors, the AI checks their pricing pages, recent reviews, and any existing contracts. Before sending a status update, it reads the tracker and builds the summary itself. With Strawberry, your companion can run those checks before it drafts anything. You don't have to hand it the data.
What makes an operations prompt actually useful?
Precision about the output format, and specificity about the source. "Analyse our budget" tells the AI nothing. "Look at the Q1 budget sheet in our Drive, compare it to Q4 actuals, and flag anything more than 15% off forecast" produces something actionable.
Tell the AI what to do with the output. Send it to Slack. Add it to the project tracker. Create a Google Doc I can share. Strawberry automatically stores your preferences in memory: which tools you use, how you like reports formatted, who gets which updates, so your companion applies that context automatically.
What are the best AI prompts for operations?
These are the prompts we see working consistently for operations teams using Strawberry.
Comparing vendors for a new tool or service
Help me compare vendors for a tool or service we're evaluating. Ask me what we're looking for and which vendors to compare. Then research each one and pull together a structured comparison covering pricing, features, reviews, and any red flags worth knowing about.
The output from this is a comparison doc you'd otherwise spend half a day building.
Analysing financial documents and flagging issues
Help me review a financial document or report. Ask me which document and what I'm looking for. Then go through it and surface the key figures, any patterns worth noting, and anything that looks like it needs attention. Give me the findings in a format I can share with the team.
Building and maintaining a project tracker
Help me set up a project tracker for a new initiative. Ask me what the project is, what the key milestones are, and who's responsible for what. Build it in a Google Sheet and include columns for status, owner, deadline, and blockers. You might want to check what format we use for trackers before building from scratch.
Monitoring a tracker and sending status updates
Help me set up a Routine to monitor our project tracker and send a weekly status update to the team. If you don't already know which tracker and which channel or email to send to, ask me. Then check the tracker every Friday and send a summary of what's on track, what's slipping, and what needs a decision.
This is the kind of automation that used to require someone manually sending an update every Friday. Now it just runs.
Drafting a proposal or SOP from notes
Help me draft a proposal based on notes from a recent discussion. Ask me where the notes are or paste them in. You might want to check what format we use for proposals before structuring the output. Then produce a clean draft I can review and send.
Tracking vendor or partner performance
Help me build a vendor performance tracker. Ask me which vendors to include and what metrics matter most. You might want to look at our existing contracts or communications to understand what was agreed before setting up the tracking columns. Then set it up in a sheet and flag anything that looks like it's drifting.
How do you get the most out of AI for operations?
Operations benefits more than most functions from building context upfront. If your companion knows your vendor list, your budget structure, your project tracking format, and your team, it doesn't need to ask every time.
The other unlock is Routines. Most operations tasks aren't one-off. The weekly status report, the monthly vendor review, the quarterly budget check. Set these up once and they run.
We've written similar guides for productivity workflows and research tasks if those overlap with your work.
What's the best AI tool for operations teams?
Operations requires an AI that works across your tools: spreadsheets, documents, email, Slack, and your project management system.
Strawberry Browser is an AI browser that connects to your existing tools and runs recurring Routines on a schedule. Your companion builds context about how your team works and applies it automatically.
Try it at strawberrybrowser.com.