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Intelligent Automation

Take the busywork out of operations.

We combine robotic process automation, AI and system integration to automate processes end to end, including the messy parts that rules alone cannot handle.

Overview

Intelligent Automation

Traditional automation is excellent at repeatable, structured steps and poor at anything involving judgement, free text or exceptions. That is why so many RPA programmes stall at around a third of a process.

Intelligent automation closes the gap. AI reads the email, classifies the document and extracts the fields. Workflow engines route the case. Bots and APIs update the systems. People handle only what genuinely needs them.

Business challenges

Problems we are usually asked to solve

01

Skilled people doing clerical work

Analysts and case officers spend hours re-keying data, chasing missing information and checking forms.

02

Brittle bots

Screen-scraping automations break every time a vendor updates an interface, and maintenance costs climb.

03

Unstructured inputs

Invoices, emails, PDFs and handwritten forms arrive in hundreds of formats that rules-based tools cannot parse.

04

No view of the whole process

Automations are built in silos, so nobody can see throughput, bottlenecks or where exceptions pile up.

Our solutions

What we build and deliver

Intelligent document processing

Extract, validate and route data from invoices, forms, contracts and correspondence.

  • Layout-aware extraction with confidence scores
  • Validation against business rules and master data
  • Human review only for low-confidence fields
Solution 1

Workflow orchestration

End-to-end process automation that coordinates people, bots, AI and APIs in one flow.

  • Case management and SLA tracking
  • Exception queues with full context
  • Process analytics and bottleneck reporting
Solution 2

RPA and system integration

Bots where there is no API, and robust integrations where there is.

  • API-first integration, RPA as fallback
  • Legacy and desktop application automation
  • Resilient selectors and self-checks
Solution 3

Conversational and voice AI

Chat and voice agents that resolve routine enquiries and capture structured information.

  • Customer support automation
  • Inbound and outbound voice agents
  • Seamless handover to live agents
Solution 4

Capabilities

Everything in scope

  • Robotic process automation (RPA)
  • AI-powered workflow automation
  • Business process automation
  • Intelligent document processing
  • AI voice agents
  • Customer support automation
  • Sales and marketing automation
  • Enterprise workflow orchestration
  • Multi-agent workflow automation
  • API and system integration
  • Low-code and no-code automation
  • Automation consulting and CoE setup

Technologies

Tools we work with

RPA
UiPathPower AutomateAutomation AnywherePlaywright
Workflow
n8nTemporalCamundaMakeZapier
Documents
Azure Document IntelligenceAmazon TextractGoogle Document AIMultimodal LLMs
Voice & chat
TwilioAmazon ConnectGenesysLiveKit

Technology choices are made per project based on your environment, skills and constraints.

Engagement approach

How an engagement runs

  1. 01

    Opportunity assessment

    We measure volumes, handling times and error rates to rank processes by value and feasibility.

  2. 02

    Process redesign

    Steps that should not exist are removed before anything is automated.

  3. 03

    Build in increments

    Each release automates a slice of the process and is measured against the baseline.

  4. 04

    Run and scale

    Monitoring, bot maintenance and a pipeline of next opportunities, run by us or your own team.

FAQs

Common questions

Something else on your mind? Ask us directly.

How do we choose which processes to automate first?

We score candidates on volume, effort per case, error cost, rule stability and data availability. High-volume processes with clear inputs and painful manual effort usually come first.

Is RPA still relevant now that AI agents exist?

Yes, for stable and repetitive steps in systems without APIs. The strongest results come from combining RPA for deterministic steps with AI for reading, classifying and deciding.

Will automation work with our legacy systems?

In most cases. We integrate through APIs or databases where available and use RPA or terminal automation where they are not.

Can our team maintain the automations?

We can hand over with documentation and training, help you set up an automation centre of excellence, or run the automations as a managed service.

Start a conversation

Which process would you automate tomorrow if you could?

Start there. We will map it, size the opportunity and show you a realistic path.