Autonomous Workflow Agents
Agents that plan and execute multi-step business processes — triaging emails, processing invoices, updating CRMs — with tool use and decision logic. Human approval gates are built in wherever actions carry risk.
AI Solutions
AI Agents & Automation
Autonomous AI agents that complete multi-step business tasks.
Beyond chatbots — we build AI agents that research, decide, and act across your tools: CRM updates, email drafting, data extraction, and workflow orchestration.
Our Offerings
AI Agents & Automation Services We Provide
Multi-Agent Systems
Orchestrated teams of specialized agents built on LangGraph, CrewAI, and custom frameworks that research, draft, review, and act in coordination. Complex workflows that took staff days complete in minutes with audit trails.
Agentic RAG & Research Agents
Agents that search internal systems and the web, cross-check sources, and compile cited briefs, due-diligence reports, or competitive analyses. Analysts get a verified first draft instead of a blank page.
RPA Modernization with AI
We upgrade brittle rule-based RPA bots into LLM-powered agents that handle unstructured documents, exceptions, and format changes without breaking. Exception rates on document workflows typically fall by 50-70%.
Agent Integration & Tool Building
Secure tool layers (including MCP-based connectors) that let agents safely operate your ERPs, databases, ticketing systems, and SaaS APIs. Every tool call is permissioned, logged, and rate-limited.
Agent Monitoring & Guardrails
Observability stacks with tracing (LangSmith, Langfuse), cost dashboards, and policy guardrails that constrain what agents can and cannot do. You get full visibility into every decision an agent makes.
What We Deliver
End-to-End AI Agents & Automation
- Multi-step task execution
- Tool & API integration
- Decision workflows
- Human-in-the-loop
- Audit logging
- Scheduled agents
Why Choose Devlex
Business Outcomes That Matter
✓Eliminate repetitive work
✓Faster operations
✓Consistent execution
✓Scale without hiring
Technologies
Tools & Stack We Use
We pick the right technology for your goals — not the trendiest framework.
- LangChain
- AutoGPT
- Python
- OpenAI
- Zapier
- n8n
Our Approach
- Discover — Understand goals & constraints
- Design — Architecture & UX blueprint
- Build — Agile sprints with weekly demos
- Launch — Deploy, test & support
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“Devlex built an AI-powered quoting engine that cut our sales team's turnaround from two days to twenty minutes. They handled the LLM integration, the guardrails, and the training — and it actually works in production, not just in demos.”
“Our e-commerce replatform to a headless architecture was delivered GDPR-ready and PCI DSS compliant on the first audit pass. Page load times dropped 60% and conversion rose 18% in the first quarter after launch.”
“Devlex migrated our entire fintech backend to AWS with zero downtime over a single weekend. Infrastructure costs came down 35% and their DevOps team now runs our 24/7 monitoring under a clean SLA.”
FAQ
AI Agents & Automation — FAQs
Everything you need to know before starting your project. Still have questions? Talk to our team.
Invoice and document processing, customer onboarding, order management, research and reporting, IT operations, and sales follow-ups are the most common. The best candidates are repetitive multi-step workflows involving reading documents, making judgment calls, and updating systems.
A single-workflow pilot ships in 4-8 weeks; production multi-agent systems with integrations and guardrails take 3-5 months. We always start with one high-volume workflow to prove ROI before scaling out.
Pilots start around $12,000-$25,000, with production systems running $30,000-$80,000 depending on integrations. Runtime LLM costs for a typical document-processing agent are $0.05-$0.30 per task — usually a 70-90% saving versus manual handling time.
Yes — all agent code, prompts, tool integrations, and orchestration logic are delivered with full IP transfer and deployed in your cloud. We build on open frameworks like LangGraph specifically to avoid locking you into any vendor.
Agents operate under explicit permission scopes, spending and action limits, and human-approval checkpoints for irreversible steps like payments or deletions. Every action is logged for audit, and we run agents in shadow mode against real data for 2-4 weeks before granting autonomy.
We deploy to AWS, Azure, or GCP with full observability, then provide 90 days of included tuning plus optional ops retainers from $1,000/month. As models improve, we benchmark and upgrade your agents — accuracy and cost both tend to improve quarter over quarter.
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