AI SYSTEMS & AUTOMATION / BERKSHIRE
WHAT IS INCLUDED
WHY READING
Reading has a high concentration of teams already using cloud platforms and Microsoft tools, so the question is rarely whether AI exists. It is which tasks are worth changing and how to do so responsibly. Customer support, sales operations, internal knowledge search and document processing are common starting points. We define the use case, measure the current effort, test against real examples and design a workflow where people remain accountable for the final output.
AI SYSTEMS & AUTOMATION / READING
Governance matters as much as capability. An AI tool connected to customer data needs proper permissions, logging, retention rules and security review. It should not expose documents to users who could not normally see them. Where companies have existing information security policies, we work within them. The result may be a narrowly focused assistant, an automated classification step or a set of AI features embedded inside an existing product. Whatever the form, someone in your organisation owns it.
IN PRACTICE / READING
A Reading software company might classify incoming tickets, identify affected products, suggest relevant knowledge articles and draft first replies, while support engineers approve responses and handle anything complex, sensitive or unusual.
A consultancy could search previous approved proposals, case summaries and service descriptions to draft sections of new bids, with source references and required review by the responsible partner or bid manager.
A technology services firm might extract renewal dates, notice periods, service levels and liability clauses from customer contracts, creating a checked register for commercial and legal teams to maintain and act on before renewal deadlines pass.
AI SYSTEMS & AUTOMATION ACROSS READING
DELIVERY / READING
Agree the opportunity and evidence of success.
Make direction tangible before delivery expands.
Build in visible, testable releases.
Use real performance to shape what follows.
QUESTION / READING
Start with a baseline. Measure how long the task currently takes, how often errors occur and what quality looks like. Then test the AI workflow on real, representative examples. We compare time saved, accuracy and review effort before recommending wider rollout, so decisions are based on evidence rather than enthusiasm.
NEARBY SERVICE COVERAGE