Agentic AI Development Services
AI that doesn't just answer — it acts. We design, build and operate autonomous AI agents that plan multi-step work, use your tools and APIs, and complete real business processes with human oversight. From a two-week working prototype to a production multi-agent system, we deliver agents you can trust with real work.
- 90%
- faster document processing (Glacier Analytics)
- 13×
- daily throughput increase
- $950K
- saved annually with zero critical errors
Delivered in production
What we deliver
Multi-agent systems
Orchestrated agent teams built on LangChain, LangGraph, CrewAI and AutoGen — planners, workers and reviewers collaborating on complex workflows.
Tool use & MCP integrations
Agents wired into your real stack: databases, CRMs, ERPs, SaaS APIs and internal tools via the Model Context Protocol and custom connectors.
Voice agents & workflow automation
Natural voice interfaces with ElevenLabs and Whisper, plus end-to-end automation of document, email and back-office workflows.
Guardrails, evals & human-in-the-loop
Evaluation suites, output validation, permissioning and approval flows — so agents act autonomously only where they have earned trust.
Agent operations (AgentOps)
Monitoring, tracing, cost control and continuous improvement of agents in production — we run what we build.
Technologies we work with
Proven in production
From Handwritten Deeds to $8.5M in New Leases: AI-Powered Mineral Rights Intelligence
90%
Faster deed processing
Read the Glacier Analytics story →
From 8 Hours to 47 Milliseconds: Real-Time Fraud Scoring at Fintech Scale
47 ms
Fraud-scoring latency, down from 8 hours
Read the PropCFlow Inc. story →
Agentic AI Development Services — FAQs
What can AI agents actually do for my business?
Production agents today reliably handle document processing, customer and vendor follow-ups, research and reporting, data reconciliation, IT and DevOps triage, and multi-step back-office workflows. The best candidates are high-volume, rule-informed processes where a human currently copies data between systems or makes routine judgments.
How long does it take to build an AI agent?
Our fixed-price AI Agent Sprint delivers a working agent prototype against your real data in two weeks. Production systems with integrations, guardrails and evaluation typically take 4–10 weeks depending on complexity.
Which agent framework do you recommend — LangGraph, CrewAI or AutoGen?
It depends on the workload. LangGraph suits complex, stateful workflows needing fine control; CrewAI is fast for role-based agent teams; AutoGen excels at conversational multi-agent patterns. We use all three in production and choose per use case — not per fashion.
How do you keep agents safe and accurate?
Every agent ships with an evaluation suite, output validation, scoped permissions and human approval gates for consequential actions. We instrument full tracing so every decision is auditable. Autonomy is expanded gradually as the agent proves itself on real work.
What does agentic AI development cost?
A proof-of-concept typically costs $5,000–15,000 and production systems $20,000–80,000+. We price fixed, per outcome — see our pricing page for the AI Agent Sprint and Build packages.
Ready to talk Agentic AI?
Tell us the outcome you need. We’ll scope it, price it fixed, and deliver it — AI agents and senior engineers, one team.