Miami AI & Software Development
AI Readiness Assessment for Businesses
Discover where AI, automation, and custom software can create the most value in your business — in under five minutes, with no obligation.
- Structured customer data in place
- Repeatable workflow identified for automation
- Clear timeline and business goal
What is AI readiness?
AI readiness is the point at which a business has the foundation needed to adopt AI responsibly and get real results from it — not hype, working systems.
Clear goals
A specific outcome to aim for, such as faster response times, lower cost per lead, or fewer manual hours.
Usable data
Customer, operations, or sales data that lives somewhere organized rather than scattered across notebooks and inboxes.
Repeatable workflows
Processes your team performs the same way more than a few times a week — the raw material automation runs on.
Practical use cases
A concrete point where AI, automation, or software removes a bottleneck instead of adding a novelty feature.
Take the AI Readiness Assessment
Answer ten short questions about your operations, data, and goals. Markeltree scores your readiness and recommends the highest-value starting point.
What industry are you in?
This helps us calibrate which AI use cases apply to you.
Common questions about AI readiness
Direct answers to the questions founders and operators ask most before adopting AI.
What is AI readiness?
AI readiness is whether a business has clear goals, usable data, repeatable workflows, and a practical use case where AI can improve operations. A business is AI-ready when it can point to a specific, recurring problem — like slow lead follow-up or manual data entry — and has enough organized information to build a working solution around it.
How can small businesses use AI?
Small businesses typically get the fastest results from AI chatbots that answer common customer questions, voice agents that handle inbound calls, and workflow automation that removes manual data entry and follow-ups. These use cases require less setup than a full custom platform and start delivering time savings within weeks.
When should a business build an AI MVP?
Build an AI MVP once you have a specific use case, some real data to work from, and a way to measure success — such as time saved per week or leads converted. An MVP lets you validate the idea with real users before investing in a larger platform, which is why most successful AI products at Markeltree start as a scoped MVP rather than a full build.
What workflows can be automated?
Common candidates include lead follow-up and qualification, appointment scheduling and reminders, invoice and quote generation, customer support replies, data entry between systems, and reporting that currently gets compiled by hand. If your team repeats a task the same way more than a few times a week, it is a strong automation candidate.
Why choose Markeltree for AI and software development?
Markeltree is a Miami-based AI and custom software development company that builds chatbots, voice agents, workflow automation, AI MVPs, SaaS platforms, and custom software for startups and growing businesses. Every engagement starts with an assessment of your actual workflows and data, so the solution matches how your business really operates rather than a generic template.