AI AUTOMATION

AI Automation & Intelligent Process Automation

Rules-based bots handle the predictable. AI handles everything else - unstructured documents, judgement calls and exceptions. Together they automate whole processes, not just clicks.

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Enterprise-grade security Cloud, private & on-prem Arabic & multilingual 24/7 support

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AI Automation

Hyperautomation with an AI brain

VerixIT is already an RPA implementation partner. We now add LLMs, document AI and agents on top of RPA, workflow engines and APIs, so processes that always needed a human to read, decide or write can finally run on their own - with people stepping in only for exceptions.

What We Deliver

Capabilities included in AI Automation

AI-powered RPA

Bots that read emails, PDFs and screens, decide, and act across legacy and modern apps.

Workflow automation

n8n, Power Automate, Zapier and custom engines wired to AI steps.

Intelligent document handling

Invoices, orders, KYC and claims captured and validated automatically.

Decision automation

Policy-based scoring, approvals and routing with explainable rationale.

Exception management

Smart queues that explain problems and propose fixes to human reviewers.

Process intelligence

Find bottlenecks and quantify automation ROI with process mining.

Technology & Platforms

Tools and models we work with

UiPathPower AutomateAutomation Anywheren8nZapierMakePythonPlaywrightAzure Document IntelligenceAWS TextractGoogle Document AILangChainZoho Flow

How We Deliver

A proven path from idea to production

Process discovery

Mine and rank processes by volume, effort and risk.

Automation design

Decide what is rules, what is AI, what stays human.

Build & integrate

Bots, AI steps, APIs and approvals.

UAT & go-live

Parallel runs, accuracy targets and training.

Run & improve

Monitor throughput, accuracy and savings.

Use Cases

Where it creates business value

Accounts payable

Invoice capture, 3-way match, approval and posting to ERP.

Employee onboarding

Documents, accounts, access and training scheduled automatically.

Order-to-cash

Order intake from email or EDI through invoicing and collections.

Banking & KYC

ID verification, screening and case summaries for analysts.

Claims processing

Intake, coverage checks and payout recommendations.

Shared inbox automation

Classify, extract, reply and update systems from every incoming mail.

Commercials & Engagement Models

Flexible ways to start and scale

Pick the model that fits your stage and risk appetite. Every quote is tailored to your scope - and every cost driver is explained upfront.

FIXED SCOPE

AI Discovery Workshop

1-2 weeks. Use-case discovery, data and architecture review, ROI model and a costed roadmap.

FIXED PRICE

Proof of Concept / Pilot

3-6 weeks. A working solution on your real data with success metrics and a clear go / no-go.

MILESTONE

Fixed-Scope Project

Scoped build with milestone payments, defined deliverables and acceptance criteria.

MONTHLY

Dedicated AI Pod

A cross-functional team - AI engineer, data engineer, solution architect, QA - on a monthly retainer.

SLA

Managed AI Operations

LLMOps monitoring, evaluation, tuning, cost control and incident response under a monthly SLA.

PASS-THROUGH

Usage-Based Costs

LLM tokens, vector databases and GPU compute billed at cost, or run in your own cloud account.

PERFORMANCE

Outcome-Linked Options

For well-measured processes, part of the fee tied to agreed KPIs such as hours saved or cases resolved.

LICENCE

Product & Platform Licences

Subscription for our reusable orchestrator, RAG and MCP accelerators to cut build time.

What drives the price

Scope & number of use cases

Data readiness & quality

Number of integrations (ERP, CRM, APIs)

Model choice & token volume

Cloud, private cloud or on-prem GPUs

Security, privacy & compliance needs

Languages & channels (WhatsApp, voice, web)

Accuracy targets & human review level

Support SLA & hours of coverage

Training & change management

Request a Tailored AI Quote All Engagement Models

FAQ

Frequently asked questions

What is the difference between RPA and AI automation?

RPA follows fixed rules on structured steps. AI automation adds understanding of unstructured data and judgement, so far more of a process can be automated.

Can you add AI to our existing RPA bots?

Yes. We extend existing UiPath, Power Automate or Automation Anywhere flows with AI document understanding and LLM decisions.

How fast is the payback?

Well-chosen processes often pay back within months; we build a business case with measured baselines first.

Do you offer managed bot operations?

Yes - monitoring, maintenance and enhancements under an SLA.