Service

AI Agents

Autonomous Intelligence That Gets Work Done

AI agents don't just respond — they reason, plan, and execute. We build autonomous agents that handle complex, multi-step workflows end-to-end, making decisions and taking actions across your systems while knowing exactly when to involve a human.

78%Autonomous Resolution Rate
<3sAvg. Response Time
24/7Availability
40–60%Cost Reduction
Deep Dive

Understanding the Approach

The gap between a chatbot and an AI agent is the gap between a script and a strategist. Chatbots follow decision trees. Agents understand goals, decompose them into steps, gather information from multiple sources, and execute actions across your systems autonomously. They handle the messy, multi-step workflows that traditional automation can't touch — the ones that currently require a human to navigate between tools, make judgment calls, and follow up.

Our agents are built on large language models fine-tuned for your domain, connected to your data through retrieval-augmented generation (RAG) pipelines, and equipped with tool-use capabilities that let them interact with APIs, databases, CRMs, and third-party services. They don't hallucinate policy details because they pull answers from your verified knowledge base. They don't get stuck on edge cases because they escalate intelligently with full context and a recommended resolution.

The architecture is designed for trust and control. Every agent action is logged and auditable. Confidence thresholds determine when an agent acts autonomously versus when it requests human approval. Guardrails prevent unauthorized actions. Permission scopes limit what each agent can access and modify. The result is an AI teammate that handles the volume while your team handles the exceptions — and the system gets measurably smarter from every interaction.

01

Customer Support Agent

Deployed an AI agent for a fintech company that handles account inquiries, transaction disputes, plan changes, and refund processing end-to-end. The agent accesses customer records, verifies identity, processes changes in the billing system, and sends confirmations — resolving 82% of tickets without human involvement. Average handle time dropped from 12 minutes to 45 seconds. CSAT scores improved by 18 points.

02

Sales Qualification Agent

Built an inbound sales agent for a B2B software company that engages website visitors in real time, asks qualifying questions, pulls company data from enrichment APIs (Clearbit, ZoomInfo), scores fit against ideal customer profiles, answers product questions from documentation, and books meetings directly on rep calendars. Qualified lead volume increased 3x with no additional SDR hires.

03

Internal Workflow Orchestrator

Created an operations agent for a mid-market company that handles employee onboarding, IT access requests, PTO approvals, and expense processing. The agent coordinates across HRIS, IT provisioning tools, Slack, and approval chains — reducing the average onboarding process from 5 days to 4 hours and eliminating 30+ hours of HR admin work per week.

Capabilities

What's Included

Every capability is purpose-built and production-ready from day one.

01

Autonomous Task Execution

Agents that break complex requests into subtasks, reason through dependencies, and execute multi-step workflows across your systems. They don't wait for instructions at every step — they plan ahead and act.

02

RAG-Powered Knowledge Access

Retrieval-augmented generation ensures agents answer from your verified data — product docs, policies, knowledge bases, and internal systems. Accurate, grounded responses instead of guesses.

03

Multi-System Tool Use

Agents that interact with your APIs, CRM, ticketing systems, databases, calendars, and third-party services. They don't just inform — they act: updating records, triggering workflows, processing transactions.

04

Intelligent Human Handoff

Configurable confidence thresholds and escalation rules. When an agent encounters uncertainty or high-stakes decisions, it transfers to a human with full context, attempted actions, and recommended next steps.

05

Continuous Learning & Improvement

Every interaction feeds back into the system. Successful resolutions reinforce patterns. Human corrections refine behavior. Performance analytics highlight optimization opportunities across your entire agent fleet.

06

Multi-Channel Deployment

Deploy agents across web, mobile, Slack, Microsoft Teams, WhatsApp, email, and voice. Same intelligence, consistent experience, every channel your customers and teams use.

Outcomes

Measurable Results

  • Resolve 78% of inquiries autonomously without human intervention

  • Respond to every request in under 3 seconds, 24/7/365

  • Reduce support and operations costs by 40–60%

  • Handle complex multi-step workflows that chatbots can't touch

  • Scale from hundreds to millions of interactions without adding headcount

Tech Stack

Built With the Best

Production-proven tools selected for reliability, performance, and long-term maintainability.

Language
PythonTypeScriptGo
LLM Provider
Claude / Anthropic APIOpenAI GPT-4oGoogle GeminiLlama / Open-Source LLMs
Agent Framework
LangChain / LangGraphCrewAIAutoGenOpenClawSemantic Kernel
Voice Agents
Twilio Voice AIVapiElevenLabsDeepgramBland AI
Vector & Data
PineconeWeaviateChromaDBRedisPostgreSQL / pgvector
Infrastructure
WebSocket / SSEDocker / KubernetesAWS / GCP
FAQ

Common Questions

Ready to get started?

Let's talk about your goals and build the system that gets you there.