AI Agent Services
AI agents are transforming how enterprises operate — automating complex workflows, making decisions, and acting autonomously across your systems. Opsio designs, builds, deploys, and manages production-grade AI agents on AWS Bedrock, Azure AI Foundry, and Google Vertex AI. We handle the full lifecycle so your team focuses on business outcomes, not infrastructure.
Trusted by 100+ organisations across 6 countries
$183B
AI agents market by 2033
171%
Average AI agent ROI
57%
Of orgs have agents in production
40%
Of enterprise apps will use agents by 2027
What's Included
AI Agent Strategy & Assessment
We identify high-impact use cases, evaluate build-vs-buy decisions, and design agent architectures aligned with your tech stack and business goals.
Agent Design & Development
Custom AI agent development using LangChain, CrewAI, AutoGen, Claude Agent SDK, or AWS Bedrock AgentCore — matched to your requirements, not our preferences.
Multi-Agent Orchestration
Design and deploy multi-agent systems with role-based specialization, shared memory, and coordinated workflows for complex enterprise processes.
LLM Selection & Optimization
We benchmark Claude, GPT-4, Llama, Mistral, and Gemini against your use case for quality, latency, cost, and compliance — then optimize continuously.
Tool & Integration Development
Build the tools your agents need — API connectors, database access, file processing, web browsing, code execution — with proper authentication and rate limiting.
Guardrails & Safety
Implement input/output filters, PII detection, hallucination checks, human-in-the-loop approval flows, and audit logging to keep agents safe and compliant.
Observability & Monitoring
Full-stack agent observability — trace every decision, monitor quality metrics, track costs, alert on anomalies, and maintain detailed audit trails.
Managed Agent Operations
24/7 monitoring, incident response, model updates, performance tuning, and continuous improvement — we operate your agents so you don't have to build an AI ops team.
Free consultation
Talk to an expert about AI Agent Services
Tell us briefly what you need. A specialist replies within one business day — free and without obligation.
- Reply within one business day
- No obligation
- Certified cloud engineers
For us at SAVR, trust, security, and scalability are fundamental to delivering a modern investment platform that challenges traditional fund pricing. When selecting a partner, we needed deep cloud expertise, a proactive security mindset, and a team we could rely on as we scaled. Opsio has been a trusted partner for our mission-critical infrastructure, supporting our journey with strong technical capabilities. Our collaboration gives us confidence that our platform remains resilient and secure, as we grow from here.
Daniel Aarenstrup
CEO · SAVR
Enterprise AI Agents Built for Production
The AI agents market is growing at 49.6% CAGR — from $7.6 billion in 2025 to $183 billion by 2033 (Grand View Research). Enterprises that deploy AI agents report 171% average ROI and 55% higher operational efficiency. But Gartner predicts 40% of agentic AI projects will be canceled by 2027 due to underestimated complexity. That's where Opsio comes in. We're not a platform vendor or a research lab. We're cloud engineers who build and operate production AI agent systems on AWS, Azure, and GCP. We handle architecture, LLM selection, tool integration, guardrails, observability, and ongoing management — so your agents work reliably at enterprise scale. Agents that touch personal data can call their models through Opsio's private AI gateway in the EU, which pseudonymises that data and blocks secrets before any model call.
Whether you need a single customer service agent or a multi-agent system that orchestrates across departments, we take you from use case identification to production deployment with managed operations included. Related Opsio services: AI Solutions & Strategy: From Use Case to Costed Roadmap.
Ready to get started?
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
Assessment & Strategy
$5,000 – $15,000
2-4 week engagement
Single Agent Development
$50,000 – $100,000
6-10 weeks
Multi-Agent System
$100,000 – $200,000
12-20 weeks
Managed Operations
$2,000 – $8,000/month
24/7 monitoring + optimization
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
Cloud-native, not cloud-agnostic
We deploy on AWS Bedrock, Azure AI Foundry, and GCP Vertex AI using native services — not generic wrappers that add latency and cost.
Production-first mindset
We've seen the 40% failure rate. Our engineering process includes evaluation frameworks, load testing, and staged rollouts from day one.
Managed operations included
Other consultancies hand over code and leave. We monitor, maintain, and improve your agents continuously as part of our managed services model.
Multi-model expertise
75% of enterprises use multiple LLMs. We help you pick the right model per task — Claude for reasoning, GPT-4 for generation, Llama for cost-sensitive workloads.
Security and compliance built in
Enterprise-grade guardrails, GDPR/NIS2 compliance, SOC 2 controls, and EU AI Act readiness baked into every deployment.
Transparent pricing
Clear cost breakdowns for development, LLM APIs, infrastructure, and ongoing management. No hidden fees, no surprise bills.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
Discover & Assess
We map your workflows, identify high-ROI agent use cases, and evaluate technical feasibility against your existing infrastructure.
Design & Architect
Agent architecture design — single or multi-agent, LLM selection, tool requirements, data access patterns, and security model.
Build & Test
Iterative development with continuous evaluation. We build tools, implement guardrails, and run comprehensive testing before any production deployment.
Deploy & Validate
Staged rollout with canary deployments, A/B testing against baselines, and user acceptance testing with real workflows.
Operate & Optimize
24/7 monitoring, cost optimization, model updates, quality tracking, and continuous improvement as part of our managed services.
Key Takeaways
- AI Agent Strategy & Assessment
- Agent Design & Development
- Multi-Agent Orchestration
- LLM Selection & Optimization
- Tool & Integration Development
Industries Served by Opsio
Financial Services
Underwriting agents, compliance monitoring, fraud detection, and customer onboarding automation with regulatory guardrails.
Manufacturing
Quality inspection agents, predictive maintenance, supply chain optimization, and production planning automation.
Healthcare
Clinical documentation agents, prior authorization automation, patient communication, and HIPAA-compliant data processing.
Retail & E-commerce
Customer service agents, inventory optimization, personalization engines, and returns processing automation.
Professional Services
Research agents, document analysis, contract review, and knowledge management across large document repositories.
Technology
Code review agents, incident response automation, infrastructure management, and developer productivity tools.
AI Agent Services — FAQ
What is the difference between an AI agent and a chatbot?
Chatbots respond to predefined inputs with scripted answers. AI agents reason about tasks, use tools autonomously, maintain context across interactions, and take actions in external systems — like booking meetings, updating databases, or deploying code.
How much does it cost to build an AI agent?
Enterprise AI agent projects typically range from $50,000 to $200,000 for development, plus $500-$3,000/month for ongoing operations including LLM API costs, infrastructure, and managed monitoring. We provide detailed cost breakdowns during the assessment phase.
Which cloud platform is best for AI agents?
It depends on your existing infrastructure. AWS Bedrock AgentCore offers the broadest model selection. Azure AI Foundry integrates deeply with Microsoft 365. GCP Vertex AI excels at custom model training. We help you choose based on your specific requirements.
How long does it take to deploy an AI agent?
A single-purpose agent (e.g., customer service) typically takes 6-10 weeks from assessment to production. Multi-agent systems with complex integrations take 12-20 weeks. We use staged rollouts to get value earlier.
What about AI agent security and compliance?
Every deployment includes guardrails (input/output filtering, PII detection), access controls, audit logging, and compliance mapping to GDPR, NIS2, and EU AI Act requirements. We implement human-in-the-loop approval for high-stakes decisions.
Do you support ongoing management after deployment?
Yes — managed operations is our core differentiator. We monitor agent performance 24/7, handle model updates, optimize costs, track quality metrics, and continuously improve agent behavior based on production data.
Still have questions? Our team is ready to help.
Build AI agents that survive production.
Book a free 30-minute assessment — we'll identify your highest-ROI agent use case and outline a production path.
AI Agent Services
Free consultation