Types of Agents We Build

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Customer Support Agents

Handle 80% of customer inquiries autonomously. Understand context, resolve issues, and escalate intelligently when needed.

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Data Analysis Agents

Autonomous agents that dig through your data, identify patterns, generate insights, and create actionable recommendations.

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Operations Agents

Manage internal processesโ€”task assignment, resource allocation, status monitoring, and problem-solving across teams.

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Sales Agents

Qualify leads, conduct outreach, handle objections, and nurture prospects through the sales funnel automatically.

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Research Agents

Search, aggregate, and synthesize information from multiple sources. Create comprehensive research reports automatically.

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Compliance & Risk Agents

Monitor operations for compliance violations, flag risks, and recommend corrective actions based on policy.

Our Agent Architecture

Multi-Layer Intelligence Stack:

Our agents combine Large Language Models for natural understanding with knowledge systems for context, planning engines for decision-making, and tool integrations for action execution. This architecture enables agents to reason about complex problems, learn from interactions, and maintain state across conversations.

Core LLM

Claude Opus 4.6 or similar frontier models

Knowledge Layer

RAG systems + your proprietary data

Planning Engine

Goal decomposition & task sequencing

Tool Integration

APIs, databases, and business systems

What Our Agents Can Do

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Reasoning & Problem Solving

Multi-step reasoning about complex problems. Agents can break down goals, identify dependencies, and solve problems with context-aware decision-making.

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Memory & Context

Maintain long-term memory of conversations and interactions. Remember customer history, preferences, and past solutions for consistent, personalized service.

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Learning & Adaptation

Improve over time through feedback. Agents learn from corrections, track what works, and adapt their approach based on outcomes.

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Tool Integration

Seamless access to your entire tech stack. Agents can query databases, call APIs, update systems, and coordinate across platforms to accomplish goals.

Measurable Impact

80%
Automation Rate
24/7
Availability
50%
Cost Reduction
2-4 Weeks
Deployment Time

What Our Clients Say

"The customer support agent Agentive built for us handles 75% of inquiries without human intervention. The remaining 25% come to us with full context. Support team productivity up 40%."

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Kristin Brown
VP Customer Experience, SaaS Co.

"Our data analysis agent runs 200+ analyses monthly that would have taken 2 FTE. It surfaces insights our team never had time to find. Incredible ROI in the first quarter."

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Andrew Wong
Chief Analytics Officer, Enterprise Data

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