Action, Not Just Answers
Agents plan multi-step workflows, call APIs, query databases and complete tasks autonomously — with reasoning loops that recover from errors.
AI Agent Development Services
AI Agent Development Company
Codazz provides AI agent development services for teams that need agents in production — not demos. We build systems that plan steps, call your APIs, finish multi-step work and escalate to humans on irreversible actions.
- 500+
- Projects Delivered
- 100%
- Decision Traces
- 24/7
- Production Operation
- 6–12 wks
- POC to Production
- NDA signed on day one
- Fixed-price quote within 48 hours
- Senior engineers only, in your timezone
- You own the code and IP
Get your custom project plan
Share your project details — a senior engineer responds within 4 hours.
NDA protected 24hr response Free consultation
Independently audited, certified and built to standards you can check
An AI agent development company builds software that acts on goals — not just text. Codazz delivers AI agent development services: agents that plan steps, call your APIs, verify outputs and escalate when confidence is low. Engineering focuses on tool layers, guardrails, evaluation suites and full decision traces.
Clutch Top AI Company 2026LangChain Certified PartnerOpenAI Function Calling ExpertAWS ML CompetencySOC 2 Type II CertifiedISO 27001 CertifiedCrewAI PartnerTop AI Development - GoodFirms
Why AI Agents Beat Chatbots for Operations
Connected to Your Systems
Permission-scoped tool layers give agents controlled access to CRMs, ERPs, databases and internal APIs — grounded in real data, not guesses.
Production-Grade Controls
Human-in-the-loop gates on irreversible actions, full audit trails, evaluation suites and monitoring — so agents ship to production, not slide decks.
Who Needs AI Agents?
Enterprise Operations
Automate complex workflows — data entry, report generation, invoice processing, email triage, and cross-system coordination.
Customer Support
AI agents that resolve issues end-to-end — checking accounts, processing refunds, updating records, and escalating complex cases.
Data & Analytics
Research agents that gather data from multiple sources, analyze trends, and produce reports without manual intervention.
Software Engineering
Coding agents that write, test, debug, and deploy code — integrated into your development workflow.
Sales & Marketing
Lead qualification, personalized outreach, proposal generation, and CRM updates running autonomously.
Legal & Compliance
Contract review agents, regulatory monitoring, and compliance documentation that work around the clock.
AI Agent Impact
500+
Projects Delivered
Since 2018
100%
Decision Traces
Every agent action logged
24/7
Operation
Continuous autonomy
HITL
Review Gates
On irreversible actions
6–12 wks
To Production
Typical POC hardening
200+
Engineers
Two delivery centers
AI agents represent the most significant shift in enterprise automation since the cloud. At Codazz, we build production-grade AI agents that go beyond demos — agents with robust error handling, human-in-the-loop checkpoints, audit logging, and graceful degradation. From single-purpose task agents to multi-agent orchestration systems, we engineer autonomous AI that your business can trust.
What We Build
AI Agent Services Autonomous intelligence.
Custom AI agents for task automation, customer support, research, multi-agent orchestration, coding assistance, and sales acceleration — built for production reliability.
Workflow
Task Automation Agents
Agents that autonomously execute complex multi-step business tasks — data entry, report generation, invoice processing, and email triage with self-verification.
Multi-Step PlanningTool CallingSelf-VerificationError Recovery
Explore Customer FacingCustomer Support Agents
AI agents that resolve customer issues end-to-end — checking accounts, processing refunds, updating records, and escalating when needed.
Account LookupRefund ProcessingTicket ResolutionHITL
Explore IntelligenceResearch & Analysis Agents
Agents that gather data from multiple sources, analyze patterns, and produce structured reports — market research, competitive analysis, and due diligence.
Web SearchData AnalysisReport GenerationMulti-Source
Explore OrchestrationMulti-Agent Systems
Teams of specialized AI agents that collaborate on complex tasks — with a supervisor agent coordinating planning, execution, and quality control.
CrewAIAutoGenAgent OrchestrationSupervisor Pattern
Explore Developer ToolsCoding Agents
AI agents integrated into your development workflow — code generation, automated testing, PR reviews, bug triage, and documentation generation.
Code GenAuto TestingPR ReviewBug TriageDocs
Explore RevenueSales & Marketing Agents
Lead qualification, personalized outreach, proposal generation, and CRM updates running autonomously to accelerate your sales pipeline.
Lead ScoringOutreachProposalsCRM SyncFollow-Up
Explore TelephonyVoice AI Agents
Phone agents that answer, verify the caller, resolve the request against live systems, and warm-transfer to a human with full context attached.
Sub-Second LatencyBarge-InTwilioLiveKitWarm Transfer
Explore KnowledgeRAG Development
Agents grounded in your documents — permission-aware retrieval, iterative multi-hop search, and every answer cited back to the source passage.
Agentic RetrievalHybrid SearchRerankingCitations
Explore IntegrationMCP & Tool Integration
The layer between agents and your systems — custom MCP servers, typed tool contracts, scoped credentials, rate limits and reversible actions.
MCP ServersTyped ContractsLeast PrivilegeRollback
Explore ReliabilityEvaluation & Observability
Eval suites, full-run tracing and cost-per-outcome dashboards — so you can prove a release improved the agent instead of hoping it did.
Eval HarnessLLM-as-JudgeTracingCI Gating
Explore Bespoke BuildCustom AI Agent Development
Agents built around your exact workflow and systems rather than a platform template — full ownership of code, prompts and infrastructure at handover.
Bespoke ArchitectureYour SystemsNo Lock-InYou Own It
Explore AdvisoryAgentic AI Consulting
Vendor-neutral feasibility, build-vs-buy and ROI assessment before you commit engineering budget — plus a sequenced pilot roadmap.
Readiness AuditBuild vs BuyROI ModelingVendor-Neutral
Explore ProcessAgentic Workflow Automation
End-to-end, cross-system processes — order-to-cash, procure-to-pay, onboarding — owned by an agent, not one task inside them automated in isolation.
Multi-StageCross-SystemCheckpointedStaged Cutover
Explore PlatformEnterprise Agentic AI
The shared platform underneath every team's agents — SSO, governed tool access, centralized audit and compliance, built to scale past the first pilot.
SSO/SAMLGovernanceSOC 2Center of Excellence
Explore GrowthAI Marketing Agents
Content, campaign planning, ad spend optimization and reporting agents grounded in your brand voice — with hard spend caps and human review gates.
Brand VoiceContent GenSpend CapsSEO Agents
Explore FrameworkLangGraph Development
Stateful agent graphs with checkpoints, interrupts and human-in-the-loop — the framework we reach for when agent behavior must be auditable and resumable.
State GraphsCheckpointersinterrupt()Subgraphs
Explore FrameworkCrewAI Development
Role-based agent crews with explicit task contracts and flow orchestration — fast to a working multi-agent system without giving up structure.
Role CrewsTask ContractsFlowsLiteLLM
Explore FrameworkOpenAI Agents SDK
Handoffs, guardrails, sessions and built-in tracing on OpenAI's agent runtime — the shortest path from GPT models to a governed production agent.
HandoffsGuardrailsSessionsOTel Tracing
Explore FrameworkAutoGen Development
Conversational multi-agent systems on Microsoft's event-driven core — group-chat orchestration, tool use and code execution in sandboxed containers.
AgentChatGroupChatEvent-DrivenDocker Exec
Explore Frameworkn8n AI Agents
AI agent nodes inside n8n's workflow engine — the pragmatic option when agents must live inside an existing automation and integration estate.
Agent NodeQueue ModeGit Sync400+ Integrations
Explore 
Why Codazz AI Agents
Agents That Work In the Real World.
Every ai agent development engagement is scoped, priced and staffed the same way — so these hold on every project, not just the showcase ones.
Human-in-the-Loop
Configurable checkpoints where humans approve, modify, or override agent decisions for high-stakes actions. Trust with control.
Full Audit Trail
Every agent decision, tool call, and action is logged with timestamps, reasoning traces, and input/output records for compliance and debugging.
Graceful Error Recovery
Agents handle failures intelligently — retrying with alternative strategies, escalating to humans, and never getting stuck in infinite loops.
Performance Dashboards
Real-time monitoring of agent success rates, latency, cost, and task completion metrics with automated alerting.
Trusted by teams building with
OpenAIAnthropicLangChainCrewAIAutoGenAWSGoogle CloudAzurePineconeWeaviateStripeSalesforceHubSpotSlackMongoDBRedis
By the numbers
AI Agent Development Results That Speak for Themselves.
500+Projects DeliveredSince 2018
100%Decision TracesFull audit logging
HITLReview GatesOn irreversible actions
24/7OperationContinuous autonomy
6–12 wksTo ProductionTypical POC hardening
How we deliver ai agent development projects
One process, five stages, fixed milestones. You always know what is happening and what it costs.
- 01
Discovery
1–2 weeksWe map the business problem, the users and the constraints, then agree what success looks like in numbers.
Scope documentFixed-price quote - 02
Design & architecture
2–4 weeksFlows, interface design and a clickable prototype, so the hard decisions are settled before engineering starts.
Clickable prototypeTechnical architecture - 03
Build
8–16 weeksTwo-week sprints against a fixed scope. You see working software every fortnight, not a status report.
Sprint demosAutomated tests - 04
Launch
1–2 weeksLoad testing, security review, migration and a rollout plan — with someone from the build team on call.
Security reviewRollout plan - 05
Support & scale
OngoingMonitoring, iteration and a support SLA. Most clients keep building with us long after go-live.
MonitoringSupport SLA
Advanced technologies
AI Agent Technologies Built Into Every Agent.
We do not just build products — we engineer intelligent, connected, future-proof digital experiences.
ReAct Pattern
Reasoning + Acting for structured problem solving
Tool Calling
Function calling for API and database interaction
Planning Engine
Multi-step task decomposition and execution planning
Multi-Agent
CrewAI and AutoGen for agent team collaboration
Agent Memory
Short-term and long-term memory for context retention
Self-Reflection
Agents evaluate their own outputs for quality
HITL Checkpoints
Human approval gates for high-stakes decisions
Observability
Full trace logging of agent reasoning and actions
Streaming Actions
Real-time visibility into agent execution progress
Sandboxed Execution
Isolated environments for safe tool execution
Evaluation Pipeline
Automated testing of agent accuracy and reliability
Fallback Chains
Graceful degradation when primary strategies fail
Technology stack
AI Agent Development Stack. 30+ Frameworks & Tools.
Best-in-class tools chosen for performance, reliability, and long-term maintainability.
Agent Frameworks
LangChain AgentsCrewAIAutoGenLangGraphSemantic KernelLLM Providers
GPT-4oClaude 4Gemini ProLlama 3MistralCohereTool Integration
REST APIsDatabase QueriesWeb SearchEmailSlackCRMMemory & State
RedisPostgreSQLPineconeLangGraph StateConversation MemoryMonitoring
LangSmithLangfuseHeliconeDatadogCustom DashboardsInfrastructure
AWS BedrockAzure OpenAIDockerKubernetesModal
Selection guide
How to Choose an AI Agent Development Company
Choosing the wrong partner for AI agents means unreliable automation, security risks, and runaway costs. Here is what to evaluate.
Proven Portfolio
Look for production agents with measurable task completion rates and documented reliability metrics — ask to see the eval suite, not the slide deck.
Senior AI Engineers
8+ years avg experience. Deep expertise in LangChain, CrewAI, AutoGen, and LLM function calling.
Fixed-Price Quotes
No hourly surprises. Clear scope covering agent design, tool integrations, testing, and deployment.
Post-Launch SLAs
Agent monitoring, performance optimization, cost management, and incident response with defined SLAs.
Safety & Compliance
SOC 2, ISO 27001, sandboxed execution, human-in-the-loop gates, and comprehensive audit trails.
Your Timezone
Dedicated PM, daily standups, sprint demos, and real-time support during critical agent rollouts.
“Scaling to 500K concurrent users was a non-event with their architecture. Black Friday, not a single crash. I’m never going anywhere else.”
Alex R.Founder, E-Commerce Platform, New York
500Kconcurrent users
Frequently asked questions
Get answers to common questions about AI agent development, autonomous AI, multi-agent systems, safety, and enterprise deployment.
Ask our teamAn AI agent development company designs, builds and deploys software that acts on goals autonomously — planning steps, calling your APIs and databases, checking outputs and escalating to humans when needed. Codazz provides AI agent development services from single task agents to multi-agent orchestration with guardrails, audit trails and production monitoring.
A chatbot responds with text. An AI agent takes action — it plans multi-step workflows, calls APIs, updates records and completes tasks with minimal human input. Agents combine LLMs with tool use, memory and reasoning loops.
A proof-of-concept takes 3–5 weeks. Production agents with integrations and guardrails take 8–16 weeks. Multi-agent systems with orchestration take 16–24 weeks, with working demos at each milestone.
Yes. We build permission-scoped tool layers that connect agents to CRMs, ERPs, databases, email and custom APIs via RAG pipelines and function calling — with audit trails and least-privilege access.
RAG grounded in verified data, output validation, confidence scoring, human-in-the-loop gates on irreversible actions, and structured output schemas. Agents cite sources and flag uncertainty rather than fabricating answers.
Cost depends on integrations, whether you need a single agent or multi-agent orchestration, safety controls and compliance depth. Ongoing cost scales with LLM API usage. We scope discovery first and quote fixed-price against a written specification.
We are model-agnostic — Claude for complex reasoning, GPT-4o for general tasks, Llama and Mistral for cost-sensitive or on-premise deployments. You can switch providers without rebuilding the agent architecture.
From our blog
View all articlesAI Agent Development Insights & Guides.
Blog
Building Production AI Agents: Architecture Guide
Patterns, tools, and best practices for reliable autonomous AI agents.
Read article BlogMulti-Agent Systems: When One Agent Is Not Enough
How to orchestrate teams of AI agents for complex enterprise workflows.
Read article BlogAI Agent Safety: Human-in-the-Loop Patterns
Design patterns for building AI agents that humans can trust and control.
Read articleExplore
Related services and the industries we serve most often.
Related services
Industries we serve
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.