Slalom

03 / 05

Practice 03 — Automation & AI

Automation that
clears the queue.

There's a difference between a CoE that ships dashboards and an automation practice that takes hours of work out of the business every week. We help you build the second one — combining RPA, document AI, workflow and LLM-based agents into a single delivery engine.

Outcomes

What changes for you.

  • 01

    A live opportunity backlog tied to FTE hours, error rates and cycle time — not vibes.

  • 02

    A delivery factory that ships automations in days, with the right governance baked in.

  • 03

    Generative AI integrated into core workflows, with evals, guardrails and audit trails.

  • 04

    A clear human-in-the-loop policy: where AI decides, where it suggests, where it stays out.

Capabilities

The work, spelled out.

01 / 06

Opportunity discovery

Process mining, task mining and structured interviews — to surface the work actually worth automating.

02 / 06

RPA & workflow

UiPath, Power Automate, Workato — designed, built and supported as a product, not a prototype graveyard.

03 / 06

Intelligent document processing

Extract structured data from unstructured documents at production accuracy, with human review where it matters.

04 / 06

LLM & agent integration

Copilots, RAG, tool-using agents — wired into your systems via secure APIs and evaluated continuously.

05 / 06

Responsible AI governance

Model registry, evals, red-teaming, data residency and the policy framework regulators will ask about.

06 / 06

Automation operating model

Federated CoE, citizen development guardrails, intake, prioritisation and sustainable run model.

Signals from prior engagements

180k

Annual hours returned to the business across a single programme.

92%

Straight-through processing on a tier-1 document workflow.

6 weeks

From production LLM evaluation framework to first regulated use case.

Brief us on yours →