AI and cloud automation for Indianapolis businesses without an IT department.
AI put to work on the tasks that actually eat your week, the repetitive work automated, your systems built properly on whichever cloud you use, and documentation you can use after I am gone. Based in Indianapolis, working with businesses across central Indiana.
brevin@bbclouddevelopments.com Or check your own setup first
What is costing you?
Pick the one that sounds most like your week.
You know AI could help, but not where to start
Your staff are probably using ChatGPT already, on personal accounts, with nobody deciding what goes in. The useful version is narrower and safer: one real task, on accounts you control, with a person approving anything that matters.
- Find the two or three tasks where AI pays for itself, and the ones to leave alone
- Copilot, ChatGPT, Claude or Gemini set up on business accounts, with permissions cleaned up first
- AI built into the workflow itself: documents read, sorted and filed, replies drafted for approval
- A one-page AI use policy, and hands-on training using your own work
Customers ask an AI, and you are not in the answer
More people now ask ChatGPT, Perplexity, Copilot or Google's AI Overviews who to hire. Those tools can only name a business they can reach, read and trust. Most small-business sites fail at the first step for purely technical reasons.
- Check every layer a crawler hits: robots.txt, firewall, CDN, how the page renders
- Structured data that states who you are, where, and what you do
- Your details made consistent across your site, Google and Bing
- Measured before and after, against the questions your customers really ask
The same tasks eat your week
Filing, checking, chasing, re-keying. Work that is recurring, rule-based and costly when it is missed is worth moving off people. Move the sliders to see what one task is costing you now.
240 hours a year
$8,400 in staff time
That is one task, at 48 working weeks a year. The full calculator takes your whole list.
Your cloud setup grew by accident
Accounts, admin rights and licences that were added as needed, never designed. It works, until someone leaves, a password leaks, or an auditor asks.
- Identity and access mapped to real roles, with MFA everywhere
- Private networking, managed secrets, and logs kept as long as you need them
- Azure, AWS, Google Cloud or Microsoft 365, often more than one
- Written down, so the next person can run it
You need a tool that does not exist
Sometimes the software does not exist, or costs more each month than building it once. Discovery settles which is true before anyone commits.
- A written scope before any code is written
- A working prototype you can put in front of real users
- An honest answer about what production would take
Check your own setup
The questions I would ask in a first conversation, as tools you can run yourself. Everything runs in your browser. Nothing you enter is sent anywhere.
- AI readiness check Whether your business is set up to use AI safely and usefully: policy, accounts, permissions, data, and where to start.
- AI visibility check Whether ChatGPT, Perplexity and Google's AI can find, read and name your business, and what to fix first.
- Recurring work cost List the tasks that repeat every week and see what they cost a year in hours and dollars.
- Cloud foundation check MFA, admin accounts, backups, offboarding, email authentication: the basics that decide how bad a bad day gets.
How it works
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01
Discovery
A fixed-fee engagement that produces a written package: what you have now, what it would take, what it would cost. Yours to keep whether or not you continue.
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02
Build
Quoted per workflow against the discovery, so scope and price are settled before work starts.
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03
Handover
Runbooks, a data map, and documentation written for whoever runs it next. No dependency on me by design.
Next step
Discovery is fixed-fee and self-contained, so the first commitment is small and the output is yours either way.