Business process automation powered by LLMs, RPA, and AI agents
AI does the work, so your people don’t have to
AI workflow automation combines LLMs (large language models), AI agents, and RPA to automate both repetitive tasks and knowledge work that requires judgment. Going beyond rule-based RPA, LLM-powered AI agents understand documents, make decisions, and execute end to end. Every system is designed and built by TreeSoop’s KAIST- and POSTECH-trained engineers — rated 4.92/5 on Wishket, Korea’s largest dev-outsourcing platform (top 0.1% partner).
Document sorting, spreadsheet cleanup, email responses, contract review — repetitive tasks that still require judgment are consuming your best people’s time.
Traditional RPA is rule-based — the moment a form changes or an edge case appears, it stalls, and a human has to step back in.
Without knowing upfront how much time and cost an automation will actually save, it’s hard to make the business case to leadership.
LLMs read PDFs, Word files, and emails, then classify, summarize, extract, and respond automatically — adapting flexibly even when formats change.
LLM-based AI agents plan and execute multi-step tasks on their own, with Human-in-the-Loop (HITL) design that routes critical decisions through human approval.
Seamless integration with Slack, Notion, Jira, Salesforce, in-house ERP/CRM systems, and Google Workspace — your team keeps its existing tools and starts benefiting immediately, with no retraining cost.
A real-time ROI dashboard tracks processing time, cost, and error rates before and after automation, so leadership sees the impact in hard numbers.
TreeSoop builds agent automation on OpenClaw, the Claude Agent SDK, and MCP — extending automation to judgment-dependent work that rule-based RPA cannot cover: contract review, anomaly detection, customer response.
We analyze your current workflows and select the automation targets with the highest ROI.
We design the optimal combination of LLMs, AI agents, and RPA, and define the external system integrations required.
We build a working prototype of the core scenario within 2–4 weeks and validate it against your real data.
We integrate with your existing systems and deploy safely, with HITL approval flows, logging, and monitoring in place.
We support continuous measurement through the ROI dashboard and feedback-driven expansion of your automation.
On contract upload, AI automatically flags risk clauses, searches similar precedents, and proposes revisions
An AI agent handles resume screening, candidate-fit scoring, interview scheduling, and evaluation reports end to end
OCR reads receipts, AI classifies ledger accounts, and entries flow into the ERP — fully end-to-end
85%
Avg. automation rate
Reduction in tasks requiring human intervention after deployment
60%
Avg. cost savings
Across labor and operating costs
24/7
Always-on processing
Automated operation through nights and weekends
2–4 wks
PoC timeline
From kickoff to validated automation on real work
Our experts will recommend the best approach for your project.
