AI Agent Building

AI agents are autonomous software systems powered by LLMs that understand context, make decisions, take actions across multiple systems, and learn from interactions. Unlike rule-based chatbots that follow scripts, AI agents handle complex multi-step workflows and adapt to new situations. According to McKinsey's 2025 State of AI, 23% of organizations are already scaling agentic AI systems.

AI agents deliver documented ROI: 40-60% reduction in operational costs (IBM), 30% decrease in customer service costs, 80%+ routine inquiries resolved without humans, and 50% increase in lead generation (Cirrus Insight). Our clients typically see positive ROI within 90 days of deployment.

Costs vary by complexity: Basic task-specific agents cost $5,000-15,000. Mid-complexity agents with integrations range $20,000-50,000. Enterprise multi-agent systems range $50,000-200,000+. Ongoing costs include LLM APIs ($10-100/month basic), integration tools ($50-500/month), and maintenance (15-30% annually).

Our 4-phase implementation typically takes 4-8 weeks: Discovery (Week 1-2), Development (Week 2-4), Integration & Testing (Week 4-6), Launch & Optimization (Week 6-8). Simple single-agent deployments can launch in 2-3 weeks; complex multi-agent orchestration systems may take 10-12 weeks.

Yes–we build compliance and security into every agent: HIPAA for healthcare (BAA available), SOC 2 Type II security, FINRA/SEC for financial services, GDPR for European customers, and PCI-DSS for payment data. We maintain audit trails, role-based access, and encryption at rest and in transit. 99.7% compliance rate across regulated industries.

We use production-grade frameworks: LangChain for flexible LLM workflows, CrewAI for collaborative multi-agent systems, AutoGen (Microsoft) for conversational orchestration, and LangGraph for flow-controlled workflows. LLMs include OpenAI GPT-4, Anthropic Claude, and Google Gemini. We integrate with Salesforce, HubSpot, GoHighLevel, Zapier, Make, and custom APIs.

AI Sales Agents work across the entire sales funnel:

• Inbound: Instant lead response (within 5 minutes vs. 47-hour industry average), qualification, appointment scheduling, and CRM updates
• Outbound: Automated prospecting, personalized outreach sequences, follow-up cadences, and multi-channel engagement
• Results: 4-7 hours saved per rep per week, 50% more sales-ready leads, up to 60% lower acquisition costs

The AI SDR market is projected to grow from $1.1B (2025) to $15B+ by 2030 as adoption accelerates.

Reviews AI Agents automate reputation management across all platforms:

• Monitoring: Real-time tracking of reviews on Google, Yelp, Facebook, industry-specific platforms
• Response: Auto-generate professional, on-brand responses to reviews–positive and negative
• Analysis: Sentiment analysis, trend identification, and competitive benchmarking
• Alerts: Instant notifications for negative reviews requiring human attention

Studies show 94% of consumers avoid businesses with negative reviews. Fast, professional responses can recover 30-50% of detractors.

Content AI Agents accelerate content creation while maintaining quality and brand consistency:

• Blog & Articles: Research-backed long-form content, SEO-optimized, fact-checked
• Social Media: Platform-specific posts, scheduling, engagement responses
• Email Marketing: Personalized campaigns, A/B testing, performance optimization
• Sales Collateral: Case studies, proposals, one-pagers from templates

Content teams report 3-5x faster production, 40% cost savings, and consistent output quality. Human editors review all content for final approval.