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AUTONOMOUS ENTERPRISE AI AGENTS
Autonomous AI Multi-Agent Operating System with Dynamic Tool Calling & Reasoning Loops
A next-generation enterprise multi-agent artificial intelligence platform. Designed to transition businesses from passive chatbots to proactive autonomous swarms that collaborate, execute real-world APIs, query SQL data warehouses, and execute end-to-end operational workflows with zero prompt drift.
Collaborative Agent
100%
Autonomous SwarmDeterministic API
99.4%
Tool-Calling AccuracyFor Standard
0ms
Human InterventionPII Shield
SOC2
Enterprise Guardrailsashento://agentic.core
LIVE SYSTEM> telemetry.inspect("agentic")
status: "OPTIMAL_200"
encryption: "AES-256 / Zero-Trust"
sla_target: "99.99% High Availability"
deployment: "Multi-Region Canary CI/CD"
Pod Architecture HealthyAshento v2.4
Core Architectural Pillars
Engineered for High Reliability & Scale
Key architectural paradigms we build directly into every ashento agentic ai deployment.
PILLAR 01
Hierarchical Multi-Agent Orchestration
A supervisor-worker architecture using LangGraph where specialized agents (Researcher, Data Analyst, SQL Query Specialist, Communicator) collaborate to break complex goals into structured sub-tasks.
PILLAR 02
Autonomous Tool-Calling & Action Execution
Agents are securely empowered with API keys to execute database mutations, send emails, trigger ERP work orders, issue refunds, or book logistics via deterministic schema validation.
PILLAR 03
Hybrid Memory & Corporate RAG Graph
Long-term episodic and semantic memory combining vector search (Qdrant / Milvus) with knowledge graphs (Neo4j) to ensure agents retain client business context permanently.
PILLAR 04
Human-in-the-Loop (HITL) Safety Gateways
Deterministic safety thresholds where actions above specified financial limits or high-impact database deletions pause automatically for instant one-click supervisor verification.
Technical Specifications
System Architecture & Deliverables
Switch between technical views to explore what we ship, our validated stack, and enterprise security guarantees.
01
Autonomous Operations & Ticket Resolution Swarm
Deploy AI agents that investigate customer inquiries, verify database orders, diagnose technical issues, and resolve tickets autonomously without human escalations.
100% Client IPVerified ✓
02
Conversational BI & Natural Language SQL
Allow executives to ask questions in plain Indonesian/English (e.g., 'Tampilkan profit per cabang bulan ini') and receive instant charts, SQL audit trails, and executive summaries.
100% Client IPVerified ✓
03
Autonomous Procurement & Vendor Outreach Agent
Agents that monitor stock levels, generate RFQ emails to multiple suppliers, compare quotations, and submit recommended purchase orders for manager sign-off.
100% Client IPVerified ✓
04
Continuous Document Intelligence & Compliance
Auto-parse complex PDFs, legal contracts, tender documents, and financial audits with table extraction, clause checking, and automated discrepancy flagging.
100% Client IPVerified ✓
05
Deterministic Guardrails & PII Masking
Layered security ensuring sensitive customer data (NIK, credit cards, passwords) is automatically redacted before LLM processing, with strict zero-data-retention agreements.
100% Client IPVerified ✓
06
Telemetry, Token Cost & Tracing Dashboard
Full observability into agent reasoning loops, step-by-step latency, token expenditures, and automated synthetic evaluation (Langfuse / OpenTelemetry).
100% Client IPVerified ✓
Engineering Roadmap
5-Stage Agile Delivery Sprint
Predictable two-week sprints from discovery to zero-downtime production deployment.
01STAGE 01
Workflow Deconstruction & SOP Audit
Membedah proses bisnis manual yang repetitif, menentukan pembagian peran agen, dan memetakan input-output.
Sprint Phase
02STAGE 02
API Tool Connectors & Sandbox
Membangun konektor API aman (REST/GraphQL/SQL) yang boleh dipanggil oleh agen dengan validasi schema Pydantic.
Sprint Phase
03STAGE 03
Knowledge Base & RAG Indexing
Mengubah dokumen SOP, katalog, dan database korporat menjadi embedding vektor dengan semantic reranking.
Sprint Phase
04STAGE 04
Multi-Agent Simulation & Guardrails
Uji stres ribuan skenario simulasi, pengetatan filter halusinasi, dan pengujian alur Human-in-the-Loop (HITL).
Sprint Phase
05STAGE 05
VPC Deployment & Continuous Tracing
Deploy di server private/cloud perusahaan dengan dashboard observabilitas latensi token dan evaluasi akurasi 24/7.
Sprint Phase
Verified Case Study Proof
Perusahaan Logistik & Supply Chain Nasional
The Challenge: Tim operasional klien menghabiskan 600+ jam kerja per minggu untuk mengecek ratusan email manifest kapal, mencocokkan data kontainer di sistem pelabuhan, dan mengabari 400+ pelanggan via WhatsApp secara manual.
Ashento Solution: Mengimplementasikan Ashento Agentic AI dengan 4 agen terspesialisasi: Document Parser Agent, Port API Scraper Agent, Discrepancy Validator Agent, dan Customer Communicator Agent.
Quantifiable Business Impact
Otomasi Penuh Alur Manifest Kontainer
Waktu Proses (Sebelumnya 45 Menit)
Penghematan Biaya Operasional per Bulan
Akurasi Tool Calling & Eksekusi Data
Build A Similar SolutionTechnical & Commercial FAQs
Frequently Asked Questions
Clear technical and governance answers regarding our ashento agentic ai service.
Chatbot konvensional hanya menjawab teks berdasarkan template atau pencarian sederhana. Agentic AI memiliki 'otonomi aksi'—ia dapat memecah tugas besar menjadi sub-tugas, memikirkan rencana kerja, mengeksekusi tool/API eksternal (misalnya membuat invoice atau mengecek stok gudang), dan memvalidasi hasil kerjanya sendiri tanpa perlu diarahkan langkah per langkah.
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Let's Collaborate
Have a project in mind? Let's build it with Ashento!
From initial architecture to autonomous AI multi-agent deployment, our engineering squad brings your boldest digital vision into high-performing reality.
Free 30-min architecture consultation • Direct NDA available