Service · AI engineering
AI automation & data workflows
Being designed. Not yet offered — register interest via Work with us.
At a glance
Status
We are designing this service line and are not taking engagements for it yet. The approach and deliverables on this page describe how we intend to run it and may change before it opens. If its status changes, the new status will be shown here and on the services index.
- Who it’s for
- Operations teams · Enterprises
- Practice
- AI engineering
- Topics
- AI engineeringTooling
- Solutions
- Enterprises
Contents
The problem
Manual, document-heavy processes are good candidates for automation, but only if error rates are measured and exceptions reach a human.
Approach
How we intend to run this work, step by step.
Step 1: Map the process
Volumes, error costs, exceptions and where a human must stay in the loop.
Step 2: Automate the deterministic parts first
Use models only for the steps that need judgement or unstructured input.
Step 3: Measure accuracy per step
Labelled samples for each model step, with thresholds that route low-confidence cases to people.
Step 4: Integrate and monitor
Connect to existing systems with audit logs and drift monitoring.
Deliverables
What an engagement is designed to produce. The final list is fixed in the written proposal.
- Process map and automation design
- Working pipeline with human-review routing
- Accuracy report per step
- Monitoring and audit logging
What this is not
- Not yet offered. This page describes a planned service line, not a service you can book today.
- Not a fixed package. Scope, deliverables and acceptance criteria are agreed in writing for each engagement.
Related research & insights
Paper breakdowns and guides on the topics this service draws on: AI engineering · Tooling.
Guide ·
A practical checklist for shipping a RAG system
What to have in place before a retrieval-augmented generation system meets real users: a retrieval evaluation set, structure-aware chunking, hybrid search, verifiable citations, permission-aware retrieval, a freshness plan and production monitoring.
Explainer ·
What counts as an AI agent? A working definition for engineers
A definition you can check against code: a model, a set of tools, a loop, state carried between steps and an explicit stop condition — plus how to tell when a fixed workflow is the better engineering choice.
Questions
Can we engage you for this now?
Not yet. This service line is planned: we are designing it and are not taking engagements for it. You can still register interest and describe what you need — it creates no obligation on either side.
Do you publish prices or timelines?
No. Scope, deliverables, acceptance criteria and any timing are agreed in a written proposal before work starts. We do not publish delivery service levels we have not committed to.
Can we share confidential material in an enquiry?
Please don’t. Describe the problem in general terms; no confidentiality obligation arises until an NDA is signed.