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Arixent

AI Engineering

AI Agents & Intelligent Automation

Agentic systems and automation that complete multi-step work under human oversight.

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Overview

AI agents take work off people's plates by planning, calling tools and completing multi-step tasks, not just answering questions. Done well, they handle the repetitive middle of a process while humans keep the judgment calls. Done badly, they are expensive chaos. We build the well-done kind.

Our agent engineering starts with the process, not the model. We map the steps, decide which actions an agent may take on its own, which require approval and which are off limits, then build the orchestration, tool integrations, memory and evaluation that make the agent dependable in production.

This page also covers AI-powered process automation, because agents and automation share the same orchestration and evaluation discipline.

Offering 1

AI agent development

AI agents plan, call tools and complete multi-step tasks instead of just answering questions. We map the process, classify each action, then build the orchestration, tools and evaluation that make the agent dependable in production.

Task and workflow agents

Agents that execute defined business processes across systems: triage, research, reconciliation, scheduling, follow-up.

Multi-agent systems

Planner, worker and reviewer patterns with clear hand-offs, shared state and escalation to humans.

Tool and system integration

Secure connectors to CRMs, ERPs, ticketing, data warehouses and internal APIs, including MCP-based tool servers.

Human-in-the-loop design

Approval steps, confidence-based routing, audit trails and interfaces that let people supervise at scale.

Typical use

  • Customer support agents that resolve tier-one requests and hand off the rest with full context
  • Finance operations: invoice matching, exception handling, reconciliation
  • IT and DevOps agents that diagnose incidents and propose fixes

Offering 2

AI-powered process automation

Every business runs on processes that accumulated rather than were designed. AI-powered automation handles the reading, routing and routine decisions so people can focus on the exceptions that need them.

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Intelligent document processing

Capture, classify, extract and validate data from invoices, claims, contracts, forms and correspondence.

Workflow automation

Orchestrated processes across systems with AI steps, approvals, SLAs and audit trails.

Decision support and triage

Models that prioritize, score and recommend next actions for queues of work.

RPA modernization

Replacing brittle screen-scraping bots with API-based, AI-assisted automation.

Typical use

  • Accounts payable, claims and onboarding document processing
  • Order, shipment and exception management in logistics
  • Back-office reconciliation across finance systems

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How we work

How we deliver

  1. 01

    Map

    Process walkthrough, action inventory, risk classification of each action and the definition of done.

  2. 02

    Build

    Orchestration, tools, memory and interfaces, developed against a scenario test suite.

  3. 03

    Prove

    Shadow mode on real cases with humans reviewing every decision before autonomy is expanded.

  4. 04

    Scale

    Progressive autonomy, monitoring, cost tracking and a feedback loop back into the evaluation set.

Stack

Tools we work with

We are neutral on tooling and pick what fits your environment, your team and the cost you can sustain.

  • LangGraph
  • OpenAI Agents SDK
  • Model Context Protocol (MCP)
  • CrewAI
  • Temporal
  • UiPath
  • Power Automate
  • OCR engines
  • Redis
  • Langfuse

Bring the problem. We bring the team.

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Industries

Where we apply this most

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Banking, Financial Services & InsuranceDocument intelligence, risk models, fraud detection and modern digital banking experiences.Explore
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HR Tech & StaffingCandidate matching, recruiter copilots, workforce analytics and ATS/HRMS platforms.Explore
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Logistics & Supply ChainForecasting, route and inventory optimization, visibility platforms and control towers.Explore
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Telecom & MediaNetwork analytics, churn prediction, content recommendation and OSS/BSS modernization.Explore

FAQ

Questions we hear often

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Next step

Ready when you are.

Tell us what you are trying to build and we will come back with a point of view, not a pitch.

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