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Intelligent process automation · Document AI · Voice AI

Automate the work between your systems.

Most operational cost hides in hand-offs: emails, PDFs, spreadsheets and swivel-chair data entry. We combine LLMs, document AI and durable workflow engines to automate these processes end to end, and we measure the results against a baseline from day one.

2 wks

Process baseline & ROI model

40–70%

Typical manual-effort reduction target in scoped workflows

Exceptions → people

Human review designed in, not bolted on

Definition

What is AI automation?

AI automation uses machine learning and large language models to automate business processes that previously needed human judgement: reading unstructured documents, classifying requests, extracting data, making rule-bound decisions and drafting responses. It extends traditional rule-based automation (RPA) to messy, real-world inputs while routing exceptions to people.

Replace brittle, manual and RPA-heavy processes with AI-powered workflows that read documents, make decisions and keep humans in control.

What we deliver

Our AI Automation capabilities.

Process discovery & ROI

Process mining and time studies to rank automation candidates by value, risk and feasibility.

Intelligent document processing

Extraction and validation from invoices, contracts, claims, KYC packs and forms with confidence scoring.

AI workflow orchestration

Durable, observable workflows on Temporal, n8n or cloud-native engines that blend AI steps with business rules.

Voice & conversational AI

Real-time voice agents for scheduling, status enquiries and first-line support, integrated with your CRM.

RPA modernisation

Replace fragile screen-scraping bots with API- and agent-based automation that survives UI changes.

Measurement & continuous improvement

Straight-through-processing rates, exception analytics and savings dashboards owned by the business.

Use cases

Where it pays back first.

High-value starting points we see across industries. We will help you rank them against your own data, systems and risk appetite.

Close-up of a circuit board representing automated workflows

01

Accounts payable

Three-way match, exception routing and vendor query handling.

02

Claims & underwriting

First-notice-of-loss intake, document checks and triage.

03

Customer onboarding

KYC/KYB document review, data entry and risk flagging.

04

Supply chain & logistics

Bill-of-lading, customs and shipment-exception processing.

05

HR operations

Candidate screening support, policy Q&A and employee requests.

06

Healthcare admin

Prior authorisation packets, referral intake and coding support.

How we work

A clear path to production.

1

Baseline

Measure volumes, handling time, error rates and cost per case.

2

Prioritise

Score candidates and agree the business case with process owners.

3

Automate

Build AI-assisted workflows with clear exception queues.

4

Scale

Track savings, tune thresholds and roll out to adjacent processes.

Technology

Tools we ship with.

Selected on merit for your context. We are model-, cloud- and vendor-agnostic.

  • Temporal
  • n8n
  • Azure AI Document Intelligence
  • Amazon Textract
  • Google Document AI
  • Claude
  • GPT
  • Gemini
  • Python
  • FastAPI
  • Power Automate
  • UiPath
  • LiveKit
  • Twilio
  • Kafka
  • Postgres
FAQ

AI Automation: your questions answered.

RPA follows fixed rules to mimic clicks and keystrokes, so it breaks when inputs or screens change. AI automation can understand unstructured inputs such as emails and PDFs, make judgement calls within defined policy, and adapt to variation, while still using deterministic rules where they work best.

High-volume, repetitive processes with unstructured inputs and clear outcomes: document-heavy back-office work, request triage, data entry across systems and routine customer enquiries. We score candidates on volume, effort, error cost and risk before building.

We baseline handling time, volume, error and rework rates before building, then track straight-through processing, exception rates and hours returned to the business after go-live. Savings are reported against the original baseline, not estimates.

Our designs move people from repetitive data handling to exception management, quality review and customer-facing work. Humans stay accountable for decisions that matter, and every automated step is reviewable.

Ready to put AI Automation to work? Start with one workflow.

Book a 45-minute strategy session with a Vidura principal. You'll leave with a shortlist of high-ROI AI use cases, the risks to manage, and a realistic path to production.