Build

Give your people back the hours lost to repetitive work.

End-to-end automation of document-heavy, rules-heavy and judgement-light processes, combining AI with dependable workflow engineering.

Overview

AI Automation & Workflow Optimisation

Many of the highest-return AI projects are unglamorous: triaging inboxes, reconciling records, drafting routine correspondence, routing requests.

We map the process as it really runs, automate the parts that should be automated, and design clear hand-offs to people for the parts that should not.

Problems we solve

  • Skilled staff spending hours on copy-paste and data re-entry
  • Backlogs and service-level breaches during peak periods
  • Brittle RPA scripts that break whenever a screen changes
  • No visibility into where time is actually going

What’s included

A complete engagement, end to end.

01

Process discovery

Shadowing, log analysis and time studies to find the real bottlenecks.

02

Automation design

A target workflow with clear human-in-the-loop checkpoints.

03

Intelligent intake

AI classification and extraction for emails, forms and attachments.

04

System integration

Connections to your CRM, ERP, ticketing and messaging tools.

05

Exception handling

Confidence thresholds, escalation queues and audit trails.

06

Impact dashboard

Hours saved, throughput and error rates tracked from day one.

Process

How the work unfolds.

  1. Phase 1

    Map

    Document the current process and baseline its cost and cycle time.

  2. Phase 2

    Design

    Agree the target workflow and where people stay in control.

  3. Phase 3

    Automate

    Build iteratively, shipping value in two-week increments.

  4. Phase 4

    Scale

    Extend proven patterns to adjacent processes and teams.

Technology

Tools we use, chosen on merit

Workflow

  • n8n
  • Temporal
  • Serverless functions
  • Webhooks

AI

  • LLM classification
  • Document extraction
  • Semantic routing

Integration

  • REST & GraphQL APIs
  • iPaaS connectors
  • Message queues

Sample outcomes

What clients typically see

1,200 h
Staff hours returned per quarter in a finance team
3 days → 4 h
Cycle time for a document review process
<1%
Error rate after automated validation

Illustrative results from past engagements. Outcomes vary by context.

FAQ

Common questions

Is this the same as RPA?

It complements it. Rather than mimicking clicks on a screen, we integrate at the API and data level wherever possible and use AI for the judgement steps RPA cannot handle.

What happens when the AI is unsure?

Items below an agreed confidence threshold are routed to a person with all the context they need, and their decision is used to improve the system.

Will this replace jobs?

Our projects typically redeploy time to higher-value work. We help you plan the people side of the change alongside the technology.

How quickly can we see results?

A first automated workflow is usually live within six to ten weeks.

Let’s discuss your project.

Tell us what you want to achieve with AI automation & workflow optimisation. A senior consultant will reply within one business day.