An operations manager reviewing automated work queues

Intelligent Automation

Automation applied where it removes real effort, with people retained where judgement matters.

Proposed solution, shaped for each organisation
The business problem

The business problem

Automation pilots often succeed in isolation and then stall, because the underlying process was never examined and nobody owns the results.

Our approach

Our approach

Process discovery first, followed by automation of well-understood steps, with human review and monitoring designed in from the start.

Why it matters, in published figures

88%

of organisations regularly use AI in at least one business function, while most have not yet scaled it

Source: McKinsey State of AI, 2025
71%

of US non-federal acute care hospitals used predictive AI integrated with the EHR in 2024, up from 66% in 2023

Source: ASTP/ONC data brief, 2025
29%

of those enterprise applications are actually integrated

Source: MuleSoft Connectivity Benchmark, 2025
Enterprise applications that are integrated
Average enterprise, 2025
Integrated29%
Not integrated71%
Source: MuleSoft Connectivity Benchmark, 2025

Key capabilities

  • Process discovery
  • Automation assessment
  • Workflow automation
  • Document processing
  • AI integration strategy
  • Monitoring and oversight

How it runs, step by step

How it fits together
BusinessGoalsProcessesStakeholders
AutomationDesignDeliveryGovernance
PlatformsApplicationsDataIntegration
FoundationCloudNetworkSecurityOperations

The real design follows from your environment.

The value we aim for
  • Staff time returned to skilled work
  • More consistent routine processing
  • Clear accountability for automated steps

Try it: Clinical Intelligence and Analytics

Decision support that predicts which patients need attention and shows why, with demand forecasts, executive dashboards and plain-language summaries. Use it for yourself, or

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Estimate it for your organisation

Time spent on routine document and data entry work. Set your own numbers and your estimate updates instantly.

8,280
hours returned each year
4.8 full-time roles of capacity

Based on 230 working days and 1,720 hours a year. An estimate from your inputs, not a guaranteed result.

Review this with our team

How we would engage

Understand your business and what your people need.

We spend time with the people who do the work, as well as those who sponsor it. The output is a shared statement of what must change and why.

What you receive

  • Shared problem statement
  • Success measures agreed
  • Stakeholder map

Who is involved

Sponsors and business leads

Stage 1 of 7

Discuss Intelligent Automation With Us.

Share a little about your organisation and what you hope to change, and we will arrange a conversation.

Please do not include patient information.