01Case study
MyMood AI
Challenge
MyMood AI needed to validate and ship an AI-driven product feature without an in-house ML engineering team.
Impact
iOS · Android: Platforms · Generative AI: Core Feature
AI success takes more than a good idea. We help Florida businesses build a roadmap, assess readiness and govern AI responsibly, with FDBR-aware advisory from the first conversation.
Quick answer
Apptechies' AI consulting services for Florida businesses cover a readiness assessment, a roadmap tied to a real business outcome, and responsible AI governance built in from the first conversation, with FDBR-aware advisory throughout. A focused engagement typically runs $10,000–$30,000. If you're also weighing options in Texas, we run the same process through our AI consulting services in Texas.
Real AI products
Products our clients have shipped
What we deliver
From AI readiness to responsible implementation planning, we turn complex AI opportunities into practical business decisions.
Our expertise
Strategic guidance across the complete AI journey — from identifying opportunities to preparing your organization for responsible adoption.
A prioritised roadmap tied to business outcomes, not a list of trendy technologies.s
Client outcomes
Real engagements focused on measurable business outcomes, practical AI adoption and long-term value.
Client perspective
Lano Majid
Owner, Ultravoom
The AI-powered fitness platform Apptechies developed integrates personalized workout plans, nutrition tracking, and real-time progress monitoring in one beautiful app. Their technical execution has been exceptional.
Nathan Folkman
Co-Founder, Bitly Inc.
Apptechies has been a reliable engineering partner on our link-management platform, working across web, iOS, and Android with a level of scalability and reliability that’s simply phenomenal. They are world-class engineers.
Mike Aunger
Director, BenchMark
The MSK performance platform Apptechies built has changed how our clinicians track patient outcomes. The data-driven insights have significantly improved rehabilitation decisions, and the team understood our clinical domain deeply from day one.
Industry expertise
Fraud detection and underwriting strategy grounded in your real risk data.
A strategy that ignores regulation isn't a strategy, it's a liability waiting to surface. Our own compliance practice feeds directly into every roadmap we write.
Strategy built around your business
From AI readiness to implementation, we focus on practical outcomes.
We recommend the model and platform that fits your constraints, not the one we get a kickback for.
Our consultants ship production AI through hands-on AI development services, not just advisory decks.
We've advised on booking and itinerary AI for real travel clients.
Governance recommendations account for the Florida Digital Bill of Rights from day one.
A track record built on real client work. See what 500+ clients across 25+ industries have to say.
Real-world outcomes from products built and scaled with AI and engineering expertise.
Bitly platform, sub-100ms redirects
MyMood AI generative photo platform
Ultravoom wellness wearable companion
The questions we hear most from teams hiring a ai consulting in florida. Don't see yours? Ask us directly on the right.
A prioritised roadmap, an honest readiness assessment, and, if you want it, a delivery plan an engineering team can execute.
A focused readiness assessment and roadmap typically runs $10,000–$30,000. Ongoing advisory through implementation is scoped separately.
Yes. Booking, itinerary and loyalty-program AI strategy is a regular part of our advisory work, a natural fit for Florida's tourism-driven economy.
We build data minimisation and consumer rights handling into the governance section of any roadmap from the start.
Our teams work from our London and Austin, Texas offices and serve Florida clients remotely with strong Eastern-time overlap.
Typically 2-4 weeks, depending on how many systems and data sources need to be reviewed.
Yes, we're happy to sign an NDA before any detailed discussion of your data, business logic or systems.
It typically runs through four stages: discovery interviews with your team, a readiness assessment of your data and systems, a prioritised roadmap tied to a business outcome, and a business case with governance built in before any build work starts.
Not always. Plenty of use cases are better served by an existing AI tool or hosted API than a custom-trained model, and part of a good readiness assessment is telling you honestly which one fits before you spend budget building something bespoke.
Yes. Every roadmap accounts for the systems already running your business, and where the plan calls for hands-on wiring, our AI integration services team can execute it alongside the same consultants who wrote the roadmap.
Yes. If ongoing, embedded capacity suits you better than a fixed-scope engagement, you can hire AI developers directly from our team instead.
We scope access to only the systems and data needed for the assessment, work under an NDA from the start, and hand back or delete any data extracts once the roadmap is delivered, unless you ask us to retain them for the next phase.
It depends on how clear your use case already is. If you know exactly what you're building, it can be faster to hire an AI developer directly rather than start with a full consulting engagement.
A readiness assessment tells you honestly whether your data, infrastructure and team can support the AI use case you have in mind. A full roadmap goes further, turning that assessment into a prioritised, milestone-based plan an engineering team can execute against, with governance built in from the start.
Cost mostly comes down to scope: how many systems need review, whether you need a custom model or an existing tool, and how much governance and testing the use case demands. Our breakdown of AI development cost walks through the main cost drivers in more detail.
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