Specialist development of autonomous, self-executing AI agents
AI does the work. You just review the results
Agentic AI is a class of AI systems that understand a goal, form a plan, and use external tools to complete complex work autonomously. TreeSoop's KAIST- and POSTECH-trained engineers deliver production-grade agent automation through multi-agent orchestration, Tool Use integration, and Human-in-the-Loop safety design — rated 4.92/5 on Wishket, Korea's largest dev-outsourcing platform (top 0.1% partner).
Rule-based RPA breaks on edge cases, and a standalone LLM can't carry real work through to completion — someone always has to step in halfway.
Data gathering, report writing, email replies, and scheduling are repetitive yet judgment-heavy — and they are consuming your most expensive people.
Manually consolidating data spread across CRM, ERP, Slack, and email introduces errors and delays at every hand-off.
We combine state machines with the ReAct (Reason + Act) pattern so the LLM iterates between reasoning and action, completing complex multi-step work automatically.
Specialist agents for research, analysis, execution, and verification collaborate in a multi-agent system built to handle complex workflows.
Through MCP (Model Context Protocol), function calling, and API integrations, we design the LLM to operate external tools directly — web search, database queries, file processing, and more.
HITL checkpoints request human approval at critical decisions, backed by full action logging and rollback mechanisms — automation you can actually trust.
We ground agent reasoning in domain ontologies and knowledge graphs rather than vector search alone, preserving factual consistency across multi-step autonomous work and reducing hallucinations. GraphRAG makes every decision traceable to its evidence.
We map the target workflow in detail: its steps, the tools required, and exception-handling scenarios.
A prototype covering the core capabilities is validated against your real data.
We connect the agent to the external system APIs, databases, and internal tools it needs.
We design and test error handling, hallucination safeguards, and human review points.
After production rollout, an agent-behavior monitoring dashboard ensures ongoing quality.
A legal agent that flags risk clauses, retrieves similar precedents, and proposes revisions automatically the moment a contract is uploaded
End-to-end hiring automation: resume analysis, job-fit scoring, interview scheduling, and evaluation reports
Full sales-cycle automation: prospect research, personalized outreach emails, CRM entry, and follow-up reminders
85%
Avg. task automation rate
Share of work automated after agent rollout
24/7
Always-on operation
Automated processing around the clock, including nights and holidays
3x
Throughput increase
Work capacity versus the same headcount
99.2%
Accuracy
Success rate of verified agent tasks
Our experts will recommend the best approach for your project.
