altr is an AI consulting firm in Tampa, Florida. We help growing teams use AI inside the work they already own, then automate the repeated parts. On-site across Tampa Bay.
Most teams we meet already pay for AI tools. What they do not have is a workflow where the tool is load-bearing: defined inputs, a review point, a fallback when the output is wrong, and a person who owns it. That gap is where the money goes, and it is the only thing we work on.
Same work if you are in Tampa, St. Petersburg, or Wesley Chapel. On-site when the process is easier to see in the room. Remote when it is not. Most of the work is workflow automation consulting or generative AI consulting on one process: map it, decide what to teach versus what to build, then make it reliable.
We map one repeated process end to end: inputs, decisions, tools, handoffs, review points, and failure modes. The output is a decision about whether to enable, automate, or leave it alone. It is where most engagements start.
A working session with your team, using your tools and your repeated work. People leave with prompts and workflows they built during the session rather than notes about someone else's use case.
Agents and workflows built around your existing stack, permissions, and approval paths. Connecting to your tools is usually an MCP server, not a migration.
Every engagement we can write about is published as an impact study: the messy operational problem, the AI-assisted path, and how the team kept control after launch.
Expense submissions and event requests moved from manual document handoffs to AI-assisted workflows with defined review paths. Read the study.
A remote MCP server on Cloudflare Workers connected Claude to the platforms an operations team already used, with no local software to install. Read the study.
Customer photos move through image review, production brief, artwork generation, human review, and export as one repeatable path. Read the study.
The useful version starts with the work, not the tools. We map a repeated workflow, find where time and rework actually go, then either teach the team to handle it with AI or build an automation for the parts that should not be redone by hand every week. Buying a tool is the easy part; making it reliable inside the work is the job.
Yes. We are based in Tampa, Florida and work on-site with teams across Tampa Bay, St. Petersburg, Wesley Chapel, and Clearwater. The embedding phase, where we map how the work moves, is better in person. Remote engagements run the same process over video. We also run live workshops and demos in Tampa.
A chatbot is a single interface. What we build is a workflow: defined permissions, human review points, fallback behavior, logging, and an owner. Every engagement ends with your team holding the prompts, documentation, and operating notes, so you are not dependent on us to change it.
Growing teams where a specific person still does repeated work by hand, and where someone can own the system after launch. That has ranged from small product teams to operations groups inside larger organizations.
A discovery call on one process. It is bounded, it produces a decision either way, and it tells you whether the answer is enablement, automation, or leaving the process alone.
Bring the process your team keeps doing by hand. We will tell you whether it needs enablement, an automation, or nothing at all.