Discovery & audit
Stack, data, workflows, and constraints. You leave with a readiness view and a short list of first systems worth building.
We audit your stack, map high-ROI use cases, and deliver a phased roadmap, from discovery sprint to production rollout.
Most companies know AI matters but don't know where to start. Or worse, they deploy AI that creates more problems than it solves. Our AI Readiness Audit is a structured, 5-day deep dive into your infrastructure, data pipelines, team capabilities, and business workflows. We identify the highest-ROI opportunities, flag technical debt that blocks AI adoption, and score your organizational readiness across six dimensions: data maturity, technical infrastructure, team skills, process automation potential, compliance posture, and change management capacity. You leave with a prioritized matrix of opportunities ranked by impact, effort, and time-to-value. Not a 60-slide deck of buzzwords.
Every AI strategy we deliver comes with a build-ready roadmap. That means each identified use case includes: a clear problem statement, recommended AI approach (LLM, RAG, predictive model, agentic workflow, or hybrid), required data sources, integration points, success metrics, estimated timeline, and resource requirements. We don't hand you a strategy and disappear. We phase the roadmap into 2-week sprints so your team can ship the first AI system within 30 days of engagement. Whether you're a Series B startup looking to build AI moats or an enterprise modernizing legacy systems, the roadmap scales to your context.
AI investments need business cases. We build quantitative ROI models for every recommended initiative: cost savings, revenue uplift, time reclaimed, and risk reduction. Models include implementation cost, ongoing operations, model API cost at scale, and a realistic adoption curve. Finance leaders approve budgets when they can see the numbers, the payback period, and the sensitivity analysis, not a slide of slogans.
The same four-phase path on every service lander. Scope and price are quoted after discovery. The bands below already appear on the site FAQ. We do not invent a new price list per page.
Stack, data, workflows, and constraints. You leave with a readiness view and a short list of first systems worth building.
Phased plan, success metrics, and an ROI model for the first initiative. You approve scope before we write production code.
One production system in your environment: integrations, evals, guardrails, and team training. First sprints often land in 2–6 weeks when the workflow is narrow.
Managed AI Operations if you want us to monitor, update models, and keep costs honest after go-live.
Exact scope is quoted after a discovery call. No surprise invoices.
Initiate ProjectA full AI strategy engagement runs 2–4 weeks. The AI Readiness Audit takes 5 business days, followed by roadmap development and ROI modeling. You receive a complete, presentation-ready strategy by the end of week 4.
No. Part of the readiness audit is assessing your data landscape. What you have, what's missing, and what needs to be built. We help you identify data gaps and create a plan to close them before or during AI implementation.
TopAhead is a full-stack AI company. We don't just deliver strategies. We build, deploy, and operate the AI systems we recommend. Most strategy clients transition directly into an implementation engagement with the same team.
Remote-first full-stack AI for Miami, Fort Lauderdale, Tampa Bay, and the South Florida corridor. One partner from roadmap to production ops. First sprints typically run 2-6 weeks.
Tell us what you're building: automation, marketing, software, or full-stack transformation. Florida operators in Miami, Fort Lauderdale, Tampa, and South Florida included. We respond within one business day.
Under 24 hours
Accepting new engagements