Colchester Machine Tool Solutions completes successful AMRC-sponsored AI trial for technical support and fault diagnosis
67.3%
Faster decision-making
75%
Positive response rate
165
Live trial interactions
Instro AI is collaborating with AMRC to help manufacturers test practical generative AI use cases in live operational settings. As part of that programme, Colchester Machine Tool Solutions completed a tailored AI trial focused on improving access to technical knowledge across service, support and distributor workflows.
Colchester Machine Tool Solutions is a long-established manufacturer and supplier of high-performance machine tools, supporting UK and European markets with a broad portfolio including lathes, CNC turning centres, mills, drilling machines and grinders.
Instro AI develops tailored generative AI assistants for UK manufacturing that deliver fast, trustworthy answers to technical questions, helping teams make quicker decisions, reduce pressure on senior specialists and improve support consistency.
AMRC supported the trial as part of its work to help manufacturing businesses test and de-risk new technologies in practical, operational environments.
The live trial ran from 12 November 2025 to 31 December 2025 after an initial discovery, configuration and content preparation phase.
The challenge
Colchester MTS identified a common challenge across engineering businesses: critical technical knowledge existed across manuals, machine files and fault records, but it was not easy to find quickly at the point of need.
- High volumes of technical enquiries from customers and distributors
- Heavy reliance on experienced engineers with deep product knowledge
- Slow diagnosis of alarm codes and machine faults
- Knowledge spread across manuals, files and historical records
- Limited support for onboarding newer service and support staff
Objectives of the trial
- Accelerate technical query resolution by reducing time spent searching manuals
- Speed up fault diagnosis with more consistent responses to alarm codes and issues
- Reduce reliance on senior engineers for repeat or well-understood problems
- Validate a practical, low-risk AI use case in a live support environment
The AI system deployed
Instro configured a secure, Colchester-branded AI assistant shaped around real service and support workflows.
- Fault identification and alarm interpretation support
- Diagnostic investigation using historical technical content
- Reference to proven fixes, service notes and escalation guidance
- Machine family, controller and serial number filters
- Secure trial login with in-line response ratings and time-saved capture
Designed to support engineers at the point of need
- Reduce time spent searching manuals and machine documentation
- Improve speed of technical decision-making
- Reduce reliance on senior engineers for repeat support tasks
- Support onboarding and skills development for less experienced users
- Improve knowledge sharing across teams and distributor networks
The trial period
The system went live on 12 November 2025 and ran through 31 December 2025. The live period was extended to allow more engagement and iterative refinement of prompts, filters and content handling.
Source data used for the trial
To create the system, Instro used a focused set of Colchester MTS technical content for selected machines, including:
- Operation and service manuals
- Machine-specific configuration files
- Machine fault and alarm records
- Related diagnostic content and service notes
The initial trial scope focused on the Alpha 1400XS and Triumph machine families.
The trial results
User engagement.
Strong operational usage across the live trial period
165
chat interactions across service and support workflows during the live trial
Speed.
Improvement in decision speed based on user feedback
67.3%
faster access to relevant machine and fault information than traditional lookup methods
Response quality.
Positive response rate from rated interactions:
75%
with 44 positive responses and 15 negative responses logged during the trial
"The trial proved the system can speed up technical decision-making and give users faster access to relevant machine and fault information."
Jonathan Wright, Managing Director, Colchester Machine Tool Solutions
"Alarm-code interrogation emerged as the highest-frequency, highest-value use case for future development."
Phil Sanders, Co-Founder and Commercial Director, Instro AI Solutions
"The technology showed clear promise, but broader adoption depends on data quality, context handling and scalable content stewardship."
Pritesh Patel: AMRC
What this means for Colchester MTS
The trial showed that a tailored Instro AI assistant can help Colchester MTS engineers and support teams reach technical answers faster, especially in high-value use cases such as alarm-code diagnosis and technical information lookup.
- Broaden machine coverage across the full product range
- Improve version-aware content handling and machine terminology mapping
- Strengthen alarm-code structuring for faster diagnosis
- Establish scalable content validation and stewardship for rollout
Does your business face similar challenges accessing technical knowledge?
Instro AI helps manufacturers turn manuals, machine data and service know-how into a practical AI assistant for engineers, support teams and operational staff.