Discovery & audit
Stack, data, workflows, and constraints. You leave with a readiness view and a short list of first systems worth building.
Automation
AI Automation & Agentic Workflows
Self-operating pipelines that eliminate repetitive work across ops, finance, support, and HR. We build agentic workflows that run 24/7 without babysitting.
Agentic WorkflowsRPA 2.0Process Automation
Initiate ProjectFrom Manual Chaos to Autonomous Systems
Your team spends hours on tasks AI should handle: data entry, report generation, inbox triage, document processing, approval routing, and status updates. We build agentic workflows that don't just follow rigid rules. They reason, adapt, and make decisions within guardrails you define. Using a combination of LLM-powered agents, traditional automation (n8n, Make, Zapier), and custom orchestration layers, we create systems that handle multi-step business processes end-to-end. An invoice comes in, the agent reads it, validates it against PO records, routes it for approval, enters it in your ERP, and notifies accounting. All without human intervention.
Agentic Workflows: Beyond RPA
Traditional RPA breaks when anything changes. A new form layout, a different email format, an updated system UI. Agentic workflows powered by LLMs handle ambiguity, interpret unstructured data, and recover from errors autonomously. We design agent architectures with clear roles: planner agents that break complex tasks into steps, executor agents that perform each step, critic agents that validate outputs, and human-in-the-loop checkpoints for high-stakes decisions. This is RPA 2.0. Automation that actually works in the messy real world.
Automation That Scales Across Departments
We've automated workflows in operations (inventory reconciliation, supply chain monitoring), finance (invoice processing, expense approvals, financial reporting), customer support (ticket routing, response drafting, escalation), HR (onboarding sequences, document collection, policy Q&A), sales (CRM updates, meeting prep, pipeline hygiene), and marketing (content distribution, performance reporting, lead scoring). Each automation is monitored, logged, and continuously optimized. When a process changes, we update the agent. Not a brittle script.
How we engageWeek 1–2 Week 2–3 Week 3–8 Optional, ongoing
Engagement model
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.
Strategy & roadmap
Phased plan, success metrics, and an ROI model for the first initiative. You approve scope before we write production code.
Build & deploy
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.
Operate & optimize
Managed AI Operations if you want us to monitor, update models, and keep costs honest after go-live.
Focused projects$10K–$50K
Transformation programs$100K+
Managed AI OperationsFrom $3,000/month
Exact scope is quoted after a discovery call. No surprise invoices.
Initiate ProjectWhat You Get
- Process discovery workshop (identify top automation candidates)
- Custom agentic workflow architecture and design
- Implementation on n8n, Make, or custom agent frameworks
- Integration with your existing tools (CRM, ERP, helpdesk, etc.)
- Human-in-the-loop checkpoints for critical decisions
- Monitoring dashboard with execution logs and success rates
- Documentation and team training for managed handoff
Expected Outcomes
- Repetitive intake, routing, and status work handled by an agent, not a spreadsheet
- Fewer processing errors on unstructured documents and messy inboxes
- Processes that can run after hours without overtime
- Operations that scale without a 1:1 headcount increase
- A documented, auditable automation inventory your team can own
FAQ
AI Automation: Common Questions
What platforms do you use for automation?
We work with n8n, Make (Integromat), Zapier for lighter workflows, and custom Python/Node.js agent frameworks for complex orchestration. For AI-powered agents, we use LangChain, CrewAI, AutoGen, and custom multi-agent architectures depending on the use case.
How do you handle security and access control?
All automations run with least-privilege credentials, encrypted secret management, and full audit logging. Sensitive operations require human approval. We follow SOC 2 and GDPR best practices and can deploy within your VPC or cloud environment.
What happens when a workflow breaks or a process changes?
Our agentic workflows include error handling, retry logic, and alerting. For clients on managed operations, we monitor and update workflows proactively. Unlike traditional RPA, AI agents can often adapt to minor changes automatically.
How do automation engagements start, and what do they cost?
Same model as the rest of TopAhead: discovery, a scoped first workflow, then build. Focused projects typically land in the $10K–$50K range. Broader programs start at $100K+. You approve scope before we automate production paths.
Florida
Serving Florida with AI Automation
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.
Contact
Initiate a Project
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.
Direct line[email protected]
Response time
Under 24 hours
Florida service area
Signal status
Accepting new engagements