AI Agent Development Services
Autonomous AI agents that qualify leads, handle support, and automate workflows — 24/7, without human intervention. Not flowcharts or chatbots. Real agents that reason, adapt, and take action.
Sound Familiar?
From 50 to 200+ Qualified Demos Monthly
The Situation
A B2B SaaS company was losing 60% of leads to slow follow-up. Their sales team spent 70% of time on research, 30% on selling.
The Approach
Built a lead qualification agent that researches prospects, scores fit, drafts personalized outreach, and books demos. Human sales reps handle conversations only.
"The agent handles 80% of our inbound qualification. Sales team went from 20 demos/month to 65. Nobody is going back to manual."
— Marcus Chen, VP of Sales at CloudFlow
What You Get
How It Works
Map the workflow
We document exactly how the task should be done. What decisions are made? What data is needed? What happens next?
Design the agent
Define tools, memory, decision logic, and guardrails. How does it know when to act? When to escalate?
Build & validate
First working version in 2 weeks. Real outputs tested against real scenarios. Iterate until accuracy hits 90%+.
Deploy & monitor
Launch to production with logging and alerts. Review outputs weekly. Improve continuously.
Ready to Get Started?
Book a free 15-minute call to discuss your project. No commitment, no sales pitch — just an honest conversation about what you need.
Common Questions
What can an AI agent actually do that a chatbot cannot?
Chatbots match patterns to responses. AI agents reason: they can browse the web, query databases, make API calls, update records, send emails, and make decisions based on context. A chatbot tells you your order status. An agent checks inventory, finds alternatives, and reschedules delivery.
How do you ensure the agent does not make costly mistakes?
Every agent has guardrails: confidence thresholds, output validation, and escalation paths. High-stakes actions require human approval. I monitor outputs for the first 30 days and tune based on real errors.
What if our use case is too complex for an agent?
Most "complex" processes are actually a series of simple decisions. I break down workflows, identify what can be automated vs. what needs human judgment. If something cannot be automated safely, I will tell you upfront.
How do you handle agents that need to access our data?
Agents can be configured to run within your infrastructure (VPC, private cloud) or with limited data access. No training on your data. You own the agent logic. I sign NDAs and can provide security documentation.
What happens after the agent is launched?
30 days of monitoring and iteration included. After that, I offer retainer options for ongoing improvements. You can also maintain it yourself — I provide full documentation and train your team.