Services

AI Agents

Software workers that handle multi-step enterprise tasks, ticket resolution, document processing, research and operational monitoring.

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AgentsAutonomous
24/7Availability
HumanIn the loop
Overview

Agents that complete tasks, not chatbots that defer.

AI agents are software workers that plan, use tools and complete multi-step tasks with minimal human intervention. Unlike simple chatbots, agents can access systems, make decisions within defined rules and escalate when confidence is low.

We design agents for real enterprise work: resolving support tickets, processing documents, researching topics across internal sources and monitoring operational systems. Every agent includes human-in-the-loop checkpoints where your policies require them.

Agents are not replacements for teams. They handle repetitive, structured work so your people can focus on judgment, relationships and exceptions.

10+Agent types built
85%Task completion
HumanOversight built in
Agent types

Agents we build for enterprise teams.

01

Support agents

Resolve tickets by searching knowledge bases, checking order status and drafting responses. Escalate when confidence is low or policy requires it.

02

Document agents

Process invoices, contracts and reports: extract data, validate against rules, route for approval and archive with audit trail.

03

Research agents

Gather information from approved internal and external sources and produce decision-ready summaries for analysts and managers.

04

Operations agents

Monitor systems, detect anomalies, trigger remediation workflows and notify on-call teams when thresholds are breached.

Agent development

From process mapping to deployed agent.

Every agent ships with monitoring, human-in-the-loop checkpoints and a performance dashboard.

01Process mapping
02Agent design
03Pilot deployment
04Monitor and refine
What it means

AI Agents explained.

Software workers that complete real tasks, with humans in control where it matters.

More than a chatbot

A chatbot answers questions. An agent takes action: reads a ticket, searches knowledge bases, checks systems, drafts a response and either resolves the case or escalates with a full summary.

Agents follow defined processes, use tools through MCP or APIs and log every step for review.

Agent loopPlan → Act → VerifyToolsDataHumanOutput

The agent loop

Plan: understand the task and break it into steps. Act: call tools and gather information. Verify: check results against rules and confidence thresholds. Repeat or escalate as needed.

Human-in-the-loop checkpoints are built in wherever your policies require approval before action.

PlanBreak downActCall toolsVerifyCheck rulesHuman approval when needed

Agent task completion by type

92%
85%
78%
65%
Support

Ticket resolver

Agent handles tier-1 requests end-to-end, escalating only exceptions with context for human agents.

Finance

Invoice processor

Extracts invoice data, matches purchase orders, flags discrepancies and routes for approval.

Legal

Due diligence helper

Gathers information from approved sources and produces structured summaries for lawyer review.

Ops

Monitoring agent

Watches system metrics, detects anomalies and triggers runbooks or notifies on-call staff.