We build intelligent AI agents, chatbots, and automated workflows that handle customer support, lead qualification, data processing, and complex business tasks autonomously around the clock.
These resource drains are exactly what custom AI agents are designed to solve.
AI agents that handle 80% of support queries instantly, escalating only complex issues to human agents.
AI-powered lead qualification agents that ask the right questions, score leads, and route hot prospects instantly.
Automated data processing agents that extract, transform, and route information across your systems.
Always-on AI agents that provide intelligent, contextual responses any time of day or night.
Natural language AI agents powered by LLMs that have real conversations and actually solve problems.
Custom automation agents that handle repetitive tasks like scheduling, follow-ups, and report generation autonomously.
Custom-built AI agents tailored to your workflows, data, and brand voice.
Intelligent support agents that resolve queries, process returns, track orders, and escalate intelligently.
AI agents that engage prospects, qualify leads through conversation, and book meetings with your sales team.
AI agents that automate internal workflows from HR queries to IT support to report generation.
Agents that extract, classify, transform, and route data across your systems without manual intervention.
Orchestrated agent systems where multiple AI agents collaborate to complete complex multi-step processes.
Ongoing monitoring, performance tracking, and iterative improvement of your deployed AI agents.
AI agents do not call in sick, do not need training for every new hire, and improve continuously. They handle the repetitive work that drains your team, letting humans focus on high-value tasks that require creativity and empathy.
Handle 1 or 10,000 simultaneous conversations with the same quality and speed, impossible with human teams.
AI agents handle tasks at a fraction of human labor cost, typically saving 50-80% on covered process costs.
Every interaction follows your best practices. No bad days, no inconsistent answers, no training ramp-up time.
AI agents learn from every interaction, getting better over time without additional training investment.
Deploy functional agents in weeks, not the months it takes to hire, train, and ramp new team members.
average query resolution rate across all AI agents deployed by ZapTap for customer-facing use cases
A rapid but rigorous development process that gets your AI agent live fast.
We map your workflows, define agent capabilities, and identify the data sources and systems the agent needs to access.
Design the agent personality, conversation flows, escalation paths, and knowledge base structure.
Develop the agent with LLM integration, connect to your systems, and build the knowledge base.
Rigorous testing with edge cases, adversarial inputs, and real conversation scenarios.
Deploy the agent to a limited audience, gather real feedback, and train your team on oversight.
Scale to full deployment with ongoing monitoring, optimization, and monthly performance reviews.
Product recommendation agents, order tracking bots, return processing automation, and shopping assistants.
Onboarding agents, feature guidance bots, bug report triage, and in-app support automation.
Patient intake agents, appointment scheduling bots, symptom triage, and medication reminder systems.
Account inquiry agents, loan pre-qualification bots, compliance Q&A, and transaction dispute handlers.
Property search agents, showing schedulers, mortgage calculator bots, and lead nurture automation.
Client intake agents, document collection bots, case status inquiry handlers, and appointment schedulers.
An online fashion retailer needed an AI agent that could help customers find products and reduce support ticket volume.
ShopNova received 3,000 support tickets monthly, mostly about sizing, product recommendations, and order tracking. Their 5-person support team was overwhelmed and response times averaged 18 hours.
We built a conversational AI shopping assistant that handles size recommendations, product discovery, order tracking, and return initiation. It integrates with their Shopify backend and escalates complex issues to human agents.
A B2B SaaS company needed to qualify and route hundreds of inbound leads without adding headcount.
PipelineIQ received 400 inbound leads per month but only 15% were qualified. Sales reps wasted 60% of their time on unqualified prospects. Manual qualification through forms had a 40% abandonment rate.
We deployed a conversational lead qualification agent on their website that engages visitors in natural dialogue, asks qualifying questions, scores leads in real-time, and books meetings for qualified prospects directly into sales calendars.
A behavioral health practice needed to automate their intake process to handle growing patient demand.
WellPath was losing potential patients because their intake process required a 20-minute phone call during business hours. Voicemail callbacks took 48 hours and 60% of prospects never returned the call.
We built a HIPAA-compliant intake agent available 24/7 that gathers patient information, checks insurance eligibility, assesses urgency, and schedules initial consultations. It hands off to clinical staff for complex cases.
“Our AI shopping assistant handles 82% of support queries instantly and actually increases sales. It paid for itself in the first month and our support team can finally focus on complex issues.”
“The lead qualification agent tripled our qualified pipeline. Our sales reps now spend their time closing deals instead of chasing unqualified leads. It is like having an SDR team that works 24/7.”
“We went from losing 60% of potential patients to a 340% increase in completed intakes. The agent is compassionate, HIPAA-compliant, and patients actually prefer it to phone calls.”
Our agents are powered by large language models like GPT-4 and Claude, making them capable of natural conversation, context understanding, and problem-solving. They are fundamentally different from rule-based chatbots.
Yes. We integrate with CRMs, helpdesks, e-commerce platforms, databases, calendars, and custom APIs. If your system has an API, we can connect the agent to it.
We use retrieval-augmented generation (RAG) to ground agent responses in your approved knowledge base. This dramatically reduces hallucination and ensures answers align with your policies and data.
We build compliance into every agent. For healthcare, we use HIPAA-compliant infrastructure. For all clients, we implement data encryption, access controls, and audit logging appropriate to your industry.
We design intelligent escalation paths. The agent recognizes its limits, collects relevant context, and routes to a human agent with full conversation history so the customer never has to repeat themselves.
Most agents go from concept to production in 4-6 weeks. Simple agents can launch in 2-3 weeks. Complex multi-agent workflows with deep integrations may take 8-10 weeks.
Operating costs depend on conversation volume and complexity. Typical monthly costs range from $500 to $3,000 for API usage and hosting. This is a fraction of the human labor costs agents replace.
Book a free discovery call where we will map your ideal AI agent use case and provide a build timeline and estimate.