AI Foundations
Cutting AI spend by 60% and making every answer auditable
60%lower AI running cost
16 hrssaved each week across 8 people
AI for engineering and manufacturing
Don't just give your staff AI.
Don't just give your staff AI.
Give them your AI.
Using AI as an individual is easy. Harnessing its power for your business takes a lot more thought. We provide secure, cost controlled and effective AI implementations focused in the areas that matter most.
The realities of AI implementation
AI Challenges facing every engineering business
All of them common, none of them insurmountable.
Nobody can say where AI would actually help
We start with where you lose time, money or customers
Then we ask whether AI is the answer. If it isn't, we tell you straight.
Running costs are invisible until they arrive
Running costs can wipe out the gains
We price them before we build, and the platform holds you to a budget afterwards.
People are using AI, but who knows how?
Get visibility and control over AI in your business
Users can be enabled, not stifled, while adhering to your policies.
What you build today may be obsolete next year
Build so you stay model-agnostic
If a better, cheaper option emerges, you can switch without starting again.
The platform
The foundation to safely support your AI ambitions.
A combination of technology and best practice.
What you already have
Documents and drawings
Business systems
Records and history
Sensors and cameras
Meeting notes and communications
→
The Mainspring Platform
Knowledge at the core. Rules around it.
Every use makes it stronger.
01Second BrainEverything the organisation knows, connected in one place.
02GuardrailsWho can see what, and which sources count as trusted.
03AI HarnessEnforces those rules every time AI is used, with an audit trail.
04Learning LoopValidated answers flow back to the core, so it grows with use.
→
What the business gets
Accurate technical detail in moments, not hours
Complete oversight of disparate data sources
AI agents to save time and money
AI use contributing to the greater good
Compliant, defensible approval process
The objective is not simply to give employees AI. It is to give AI controlled access to the organisation’s trusted knowledge.
Our work
Examples from recent client work
Explore case study →
Unify information
Sensor and PLC data, joined to the business
On demandcompliance evidence, not assembled by hand
One viewplants, shipments and financials together
Capture operation
Cameras that tell the line what changed
Exceptionssurfaced, not recorded and forgotten
Yield + downtimeattached to every event
Technical answers
Answers cited from your own specifications
Secondsnot half a day searching
Source attachedthe clause it came from
Why us
AI implementations for engineering and manufacturing
We are engineers, not theoretical AI researchers. We have run plants and shipped product, and our systems prioritise low maintenance and high operational utility.
PRACTICAL & PRAGMATIC
Focused changes that people will actually use
Improvements that make a difference without redesigning your whole business. We start with where you lose time, money or customers — and if AI is not the answer, we tell you straight.
Which means: maximum impact with measurable results
NO PROVIDER TIES
Your foundation stays yours, whichever model wins
Knowledge lives inside your business rather than inside a vendor's tool, and the model underneath is a decision you can change when a better or cheaper option arrives.
Which means: nothing riding on which provider you pick, and no rebuild when the market moves.
COST-CONSCIOUS
Priced for your business, and priced to run
Fixed-scope work with running costs modelled before we build, and the platform holds you to a company budget afterwards — cheap local models doing the routine work, expensive ones reserved for the jobs that earn them.
What that means: no year-long roadmap before results, and no usage bill that quietly wipes out the gain.
AI insights
Practical plain-English guides to AI.
Industry
Generative, Predictive, Agentic
What they mean and where they are the best fit.
2 September 20264 min read
Cost
The number nobody quotes: what AI costs to run
Build cost is a one-off. Usage cost arrives every month, and it is the one that quietly wipes out the gain.
26 August 20267 min read
Foundations
Your people already use AI. Write the policy they will read.
A one-page, plain-English set of rules beats a twenty-page document nobody opens twice.
19 August 20265 min read
Book a free opportunity review
A focused conversation about how your business runs and where AI could help — and where it would not. Straight answers either way.
Michael Douglas · Commercial Director