Expletech specializes in custom AI integration and autonomous agent development. We integrate LLMs, build custom RAG systems, and automate complex workflows.
AI Integration and autonomous agents.
Put your business operations on autopilot. We build tailor-fit AI solutions: from RAG systems and intelligent chatbots to fully autonomous multi-agent systems.
Traditional software is too rigid
Zapier or Make setups break when a website changes slightly or data format differs. Autonomous AI agents adapt and solve challenges independently.
Without AI Agents
Traditional integrations and rules break easily with minor data format modifications
Basic chatbots only communicate but cannot perform actions in CRM, databases, or ERP
Complex routine operations (research, data compilation) still require manual human effort
Scaling operations requires hiring more staff, leading to higher management overhead and human errors
With Expletech AI Agents
AI agents use logical reasoning to adapt to new situations and file formats dynamically
Intelligent agents have tool access: updating CRM, querying databases, and sending emails
A single multi-agent system runs multi-step intellectual workflows fully autonomously
You deploy a digital workforce that works 24/7 and scales infinitely without hiring constraints
Features built for process autonomy
We develop sophisticated agentic architectures using LangGraph and CrewAI, fully integrated into your IT infrastructure.
Multi-Agent Systems
Teams of specialized agents (e.g., Researcher, Analyst, Writer) collaborating to achieve large-scale objectives.
Tool-Using Agents (APIs)
AI empowered with API access to read/write databases, interact with CRMs, ERPs, and secure payment platforms.
Reasoning & Planning
Deploying ReAct and Chain-of-Thought methodologies to plan steps, self-correct errors, and analyze logs.
Long-Term Vector Memory
Vector databases (Pinecone, Qdrant) enabling agents to store context, learning from past operational cycles.
Supervised Autonomy (HITL)
Human-in-the-loop workflows to prompt users for approval before executing critical or financial actions.
Reasoning Logs & Monitoring
Admin dashboards showing reasoning pathways of agents, helping developers optimize instructions.
Steps to deploy your AI workforce
A systematic and safe approach to developing and integrating autonomous agentic systems.
Cognitive Architecture
We map out agent roles, design decision trees, and select the optimal models and tools.
Logic & Memory Setup
We write agent workflows in LangGraph, integrate APIs, and configure vector memory databases.
Testing & Safeguards
We validate agents in sandbox environments, setting limits and Human-in-the-loop triggers.
Launch & Optimization
We deploy agents to the cloud, enable reasoning logs, and fine-tune systems based on usage.
Efficiency verified by actions
Our clients substitute thousands of hours of manual work with autonomous agent workflows, cutting costs and error rates.
Transparent plans for AI Agents development
Pricing depends on the number of agents and the complexity of integrated tools and APIs.
AI Consulting & Roadmap
Cognitive design · business process mapping · detailed developer roadmap specs · LLM & tool selection
Single Agent
1 autonomous agent · 1-2 API integrations · vector database storage · basic safety validation checks
Multi-Agent System
Up to 3 agents team · CRM/ERP integration · Human-in-the-loop triggers · reasoning logs admin panel
Enterprise Orchestra
Unlimited agents · full department workflow automation · custom fine-tuning of LLMs · 24/7 SLA support
What determines your price
- Number of autonomous agents & their communication patterns
- Complexity of integrated third-party systems & APIs
- Volume of training data & necessity of LLM fine-tuning
- Infrastructure deployment type (SaaS APIs vs. secure on-premise LLMs)
Reliable automation with firm control
We build AI systems that operate predictably and keep your corporate data secure.
Strict Data Privacy
Solid NDAs, hosting in secure cloud setups, or locally deploying open-source models (On-premise LLMs).
Human-in-the-Loop Safeguards
Critical actions like sending customer communications or financial payouts always require explicit human approval.
Minimized Hallucinations
Applying strict validators and self-correction reasoning loops to catch and fix model output errors.
Post-Launch SLA Support
We monitor reasoning paths, update tool APIs, and scale agents' cognitive logic as your operations grow.
Adjacent automation solutions
Additional services that complement artificial intelligence integration to build a comprehensive intelligent ecosystem.
Frequently Asked Questions
Everything you need to know about AI agents and cognitive workflows.
Ready to hire your first AI Agent?
Let's discuss your workflows and select target operations best suited for autonomous AI automation.