Agentic AI That Actually Works in Production
Build intelligent agents that reason, plan, and execute complex workflows autonomously—with the guardrails and oversight your business requires.
Beyond Chatbots: AI That Takes Action
Traditional AI tools wait for instructions. Agentic AI systems think ahead. Where conventional AI generates responses to prompts, agentic AI breaks down complex goals into subtasks, reasons through options, interacts with your systems, and executes multi-step workflows—often without human intervention at every step.
The difference matters. A chatbot answers questions about your return policy. An agentic system processes the return, updates inventory, triggers the refund, notifies the customer, and flags patterns that might indicate fraud—all from a single customer message.
Traditional AI vs. Agentic AI
- Responds to prompts
- Single-task focused
- Requires human orchestration
- Generates content or answers
- Plans and executes autonomously
- Handles multi-step workflows
- Self-orchestrates toward goals
- Takes actions in real systems
This isn't science fiction. Organizations across industries are deploying AI agents that handle insurance claims end-to-end, orchestrate supply chain responses to disruptions, and manage customer inquiries from first contact to resolution.
The Gap Between AI Promise and AI Reality
You've seen the demos. AI agents booking flights, writing code, managing complex workflows. The possibilities seem limitless. Then reality hits.
The Pilot That Never Scales
Your team built a proof-of-concept that impressed leadership. Six months later, it's still a proof-of-concept. The gap between demo and production proved wider than anyone anticipated.
More Work, Not Less
You deployed an AI tool that was supposed to reduce workload. Instead, your team spends hours reviewing outputs, fixing errors, and apologizing to customers for automated mistakes.
The Vendor Lock-in Trap
You built on a platform that seemed perfect—until pricing changed, features disappeared, or the roadmap diverged from your needs. Now you're stuck with mounting costs.
The Integration Nightmare
Your AI agent works beautifully in isolation. Connecting it to your CRM, ERP, and legacy systems? That's a different story entirely.
The Compliance Question Mark
Leadership wants to deploy AI, but legal can't sign off. Who's responsible when an autonomous agent makes a decision that affects customers or revenue?
These aren't edge cases. They're the common experience of organizations attempting agentic AI without the right foundation.
Agentic AI Built for Your Reality
We develop AI agents that operate in the real world—with its messy data, legacy systems, compliance requirements, and the need for human judgment at critical moments.
Autonomous Workflow Agents
AI systems that execute multi-step business processes end-to-end. From customer inquiry to resolution, from order placement to fulfillment. These agents don't just assist—they complete work.
Multi-Agent Orchestration
Complex problems often require multiple specialized agents working in concert. We architect systems where agents collaborate—planning, executing, verifying, and coordinating.
Intelligent Decision Support
Not every decision should be fully automated. We build agents that gather information, analyze options, and present recommendations—while keeping humans in the loop for high-stakes choices.
AI-Augmented Operations
Agents that work alongside your team, handling routine tasks while escalating exceptions. The goal isn't to replace people but to amplify what they can accomplish.
What's Under the Hood
Reasoning Engines
Break complex goals into actionable steps
Memory Systems
Maintain context across interactions
Tool Integration
Connect to your existing systems
Guardrails
Prevent harmful or unauthorized actions
Observability
Understand what agents do and why
Feedback Loops
Enable continuous improvement
From Concept to Production: A Structured Path
Agentic AI projects fail when they skip steps. We've developed a methodology that moves efficiently while ensuring each phase builds a solid foundation.
Discovery & Opportunity Mapping
We understand your operations, not just your AI aspirations. Through stakeholder interviews, process analysis, and data assessment, we identify where agentic AI creates genuine value.
Deliverable: Opportunity assessment, technical feasibility analysis, recommended starting point
Architecture & Design
With the opportunity defined, we design agent architecture—not just what the system will do, but how it will do it reliably, safely, and maintainably.
Deliverable: Agent architecture specification, integration design, guardrail framework
Prototype Development
We build a working prototype demonstrating core capabilities. This isn't a PowerPoint—it's a functional system operating against real data and workflows.
Deliverable: Functional agent prototype, initial benchmarks, stakeholder demo
Iteration & Refinement
Based on learnings and feedback, we refine the system—expanding capabilities, improving accuracy, and hardening for production conditions.
Deliverable: Enhanced capabilities, edge case handling, performance optimization
Production Deployment
Deployment with appropriate controls—typically starting with limited scope and expanding as confidence builds. Full observability ensures issues are caught early.
Deliverable: Production deployment, monitoring setup, operations runbook
Ongoing Evolution
Agentic AI systems should improve over time. We provide options for managed services, optimization sprints, and capability expansion.
Deliverable: Continuous improvement, model updates, team enablement
Built on Modern Foundations
We're framework-agnostic but opinion-informed. Our technology choices are driven by your requirements, not vendor relationships.
LLM Foundation
OpenAI, Anthropic, Google, Mistral, open-source—selected based on your needs for capability, cost, data residency, and deployment.
Agent Frameworks
LangChain, LlamaIndex, AutoGen, CrewAI, custom—chosen based on complexity and requirements.
Integration
REST, GraphQL, queues, direct DB—connecting to your systems using appropriate patterns.
Deployment
Cloud-native, on-prem, hybrid, air-gapped—deployed where your data and compliance requirements dictate.
Observability
LangSmith, LangFuse, custom monitoring—full visibility into agent behavior, performance, and outcomes.
What Makes Allerin Different
Production Focus, Not Demo Obsession
Anyone can build an impressive demo. We focus on systems that work reliably in production—handling edge cases, recovering from failures, operating at scale.
Guardrails as Architecture
AI safety isn't a feature we add at the end. Guardrails, human oversight, and constraints are designed into the architecture from the beginning.
Integration Expertise
AI agents are only valuable when connected to your systems. We have deep experience integrating with CRMs, ERPs, data warehouses, legacy systems, and custom applications.
Cross-Industry Pattern Recognition
We've built agents across industries. That breadth means we recognize patterns—what works, what fails, what scales—and apply those lessons to your situation.
End-to-End Capability
We don't hand off between strategy, design, and implementation teams. The engineers who architect your system are the engineers who build and deploy it.
Honest Assessment
Not every problem needs agentic AI. We'll tell you when a simpler solution would serve you better—even if that means a smaller engagement for us.
Common Questions About Agentic AI Development
Engagement Options
We structure engagements to match your situation—whether you need a quick proof-of-concept, a full production system, or ongoing partnership.
Discovery & Assessment
$15K – $25K
Assess your operations, identify opportunities, and provide a detailed roadmap.
Investment credited toward implementation if you proceed
Pilot Development
$50K – $100K
Build a focused proof-of-concept for a specific use case. Demonstrates viability and creates foundation for expansion.
Production Implementation
$100K – $300K+
Full production deployment with integrations, guardrails, monitoring, and knowledge transfer.
Ongoing Services
Custom
Managed services, continuous improvement, capability expansion. Monthly retainer or project-based.
Related Services
Explore complementary services that work alongside agentic AI to maximize your technology investment.
GenAI Product Accelerator
Production-ready RAG systems and LLM applications with evaluation frameworks and safety guardrails.
Learn moreMLOps & Model Operations
Continuous model monitoring, versioning, and deployment pipelines to keep AI systems performing optimally.
Learn moreIntegration FastTrack
Connect AI agents to your CRM, ERP, and legacy systems with production-ready connectors and contract tests.
Learn moreReady to Build AI That Actually Works?
Start with a conversation. We'll discuss your situation, explore possibilities, and determine if there's a fit—with no obligation and no sales pressure.
At a Glance
Key Takeaways:
- •Agentic AI Systems automate back-office workflows with 94% accuracy and human oversight
- •Typical deployment: 2-4 weeks from design to production pilot
- •ROI achieved in 8 weeks on average for Fortune 500 clients
- •Supports cloud, on-prem, or hybrid deployments with full compliance (HIPAA, SOC2, FedRAMP)
Agentic AI Impact: Before & After Results
Fortune 500 Insurance: 73% Claims Automation
Automated claim review, fraud detection, and policy verification with 94% accuracy. Human reviewers now handle only edge cases, reducing processing time from 8 hours/day to 45 minutes/day.
When to Choose What
Agentic AI Systems builds the agents and workflows. For multi-agent orchestration at scale, consider our control plane solution.
Agentic AI Systems
Best for building 1-3 focused agents
- ✓Design & deploy specific agent workflows
- ✓Human-in-the-loop (HITL) review flows
- ✓Policy alignment & guardrails
- ✓Explainable agent decisions
Multi-Agent Automation Outcomes
See the math →- •Eliminate manual back-office steps
- •Policy-aligned actions with human override
- •Traceable, explainable decisions with run logs
- •Reviewer minutes per case ↓ 30–50%
- •Cost per transaction capped and reported
What You Get: Agentic AI Deliverables
Our standards →Timeline
2–4 weeks (design+pilot), 6–8 weeks (pilot→prod)
Team
architect, MLE, FE, BE, PM; security reviewer on demand
Industry Benchmarks & Statistics
Based on 50+ enterprise deployments across Fortune 500 companies in manufacturing, healthcare, and financial services.
Inputs We Need
- •Process maps or workflow documentation
- •Sample data and edge cases
- •Policy docs, consent and approval thresholds
- •SME availability for evaluation
- •Target KPIs (time saved, accuracy), model/tool constraints
Tech & Deployment
Control plane: LangGraph/Temporal/Argo; retries/backoff/idempotency. Models: OpenAI/Claude/local; routing and fallback policies. HITL: reviewer UI; reason codes; audit and retention windows. Identity: SSO (OIDC/SAML); roles/attributes; least-privilege. On-prem/GovCloud or VPC; secrets in KMS; policy repo in Git.
Proof We Show
Full evidence list →Frequently Asked Questions
Need More Capabilities?
Once you've built your first agents, consider these complementary services to scale your AI operations.
Related Services
Related Products
Popular Industries
Ready to Get Started?
Book a free 30-minute scoping call with a solution architect.
Procurement team? Visit Trust Center →