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n.autoops

AI automation for operations/business with repetitive tasks and complex workflows

AI agents, workflow orchestrators, RPA and Human-in-the-Loop (HITL) — free your team to focus on strategy.

why it matters

Repetitive tasks consume 40–60% of operational teams' time (Gartner 2024). Traditional automation breaks with changes; AI adapts.

n.autoops uses AI agents + orchestration to automate complex processes with human supervision (HITL) — reducing 70%+ of manual work.

typical use cases

HR spends 40h/month screening resumes and scheduling interviews

AI agent that reads resumes, extracts skills, matches with job and automatically schedules interviews via calendar.

Finance types 200+ invoices per month into legacy system

OCR + AI to read invoices, validate data, integrate with legacy ERP via API/RPA; reduces 90% of manual work.

L1 support responds to repetitive tickets (password reset, basic info)

Chatbot with LLM integrated to ticket system; resolves 60% automatically, escalates 40% to human.

Operations needs to orchestrate workflows between 5+ systems without native integration

Orchestrator that coordinates APIs, webhooks and RPA for complex workflows with HITL telemetry.

main resources

Complete AI automation and orchestration stack

AI Agents

Intelligent agents that automate complex tasks with NLP, machine learning and decision-making.

Workflow Orchestrators

Coordination of complex workflows between multiple systems with event-driven automation.

Connectors and APIs

Pre-built and custom connectors for integration with legacy and modern systems.

RPA (Robotic Process Automation)

Automation of repetitive processes in user interfaces when API is not available.

OCR and Computer Vision

Data extraction from documents, images and PDFs with intelligent validation.

Chatbots and Assistants

Conversational interfaces with LLM for support, service and task automation.

Telemetry and Monitoring

Performance, SLA and quality monitoring of automated processes.

Human-in-the-Loop (HITL)

Human supervision in critical decisions with continuous feedback for agent improvement.

A/B Testing and Optimization

A/B tests to optimize automated flows and continuously validate improvements.

End-to-End Traceability

Complete audit trails of all automated processes for compliance.

metrics we track

Real-time automation KPIs and ROI

70%+
Manual Work Reduction
60-80%
Automation Rate
4-8 weeks
Implementation Time
95%+
AI Agent Accuracy
6-12 months
Typical ROI
99.5%
Availability

typical onboarding

From mapping to active automation in 4–8 weeks

1

Process Mapping (1 week)

Identification of repetitive tasks, volume, systems involved and automation opportunities.

2

PoC (Proof of Concept)

Proof of concept with 1-2 critical processes to validate feasibility and ROI.

3

Development and Integration

Building agents, connectors and workflows with testing in staging environment.

4

Deploy with HITL

Gradual deployment with Human-in-the-Loop for supervision and fine-tuning of agents.

5

Operation and Continuous Improvement

Performance monitoring, A/B testing and expansion to new processes.

Ready to automate processes and free your team?

Schedule a process mapping and understand how n.autoops can reduce manual work by 70%+.