Before
30–60 min
to plan the treatment of a new part
AI that works as hardas your business does.
S&P helps firms automate their processes using agentic AI to save costs, improve work efficiency and prepare businesses for the future.
EnquireThe problem
Most UK businesses can see what AI could do. Few have made it work.
The tools are within reach of any business. What’s missing is the time to work out where AI would genuinely pay off, someone with the skills to build it properly, and the confidence that it won’t create more problems than it solves. So the quotes, reports and follow-ups that slow a team down go on being done by hand.
65%
of UK businesses not yet using AI say they can’t see a clear business case for it.
DSIT AI adoption survey, 2026
67%
of businesses already using AI say a lack of skills is holding them back.
DSIT AI adoption survey, 2026How widespread it is
AI use has doubled in a year. Using it well is still rare.
A third of UK businesses now use AI in some form, up from a sixth a year ago. Far fewer have made it part of how the business actually runs, and among smaller firms the gap is wider still.
What’s at stake
The businesses that make AI work are pulling ahead.
Where AI is built into real work, firms report the outcomes that matter: routine work done faster, fewer mistakes, and a team with more time for customers.
71%
of small and medium-sized businesses using AI say it has saved time on routine tasks.
Enterprise Nation, 202634%
of small and medium-sized businesses using AI count fewer errors among the benefits.
Opinium for OpenAI, 2026What we do
We build AI agents that take on the work your team shouldn’t be doing.
An agent carries out a piece of work from start to finish inside the systems you already use, and passes anything that needs judgement to a person. These are the five jobs where it most often makes a difference.
1Quotes & proposalsDrafted from your price lists, past jobs and the enquiry itself, ready to check and send the same day.
2Reports & data entryFigures gathered from every system into one current view, instead of a spreadsheet rebuilt by hand each week.
3Customer enquiriesEvery written enquiry read, sorted and passed to the right person with the details they need.
4Scheduling & follow-upsBookings arranged, reminders sent and loose ends chased, without anyone having to remember.
5Invoices & billsRead, checked against the order and entered into your accounts, with mismatches flagged.
A published example
A Sheffield engineering firm now does in minutes what used to take up to an hour.
SPL Treatments finishes parts for the aerospace industry and employs fewer than fifty people. Its customers’ purchase orders can run to sixty pages and refer to dozens of other specifications.
An AI agent now reads each order, checks it against more than 800 aerospace standards and drafts the treatment route, citing the specification behind every step. Anything missing or contradictory goes to the operations lead to decide. The team now checks the answer rather than doing the research.
After
2–3 min
for the same work, with sources cited
800+
standards checked on every order
5–6 a day
new parts handled this way, up to 11 when busy
Published case study: Lleverage, May 2026. SPL Treatments is not an S&P client.
Why S&P
You don’t need an AI department. You need the right few things built well.
Hiring a specialist means a full salary for what is, in most businesses, a handful of well-chosen projects. Large consultancies are built for large clients, and off-the-shelf software rarely fits the way a business actually runs. S&P finds where AI will pay off, builds it into the tools you already use, and measures the result.
Ben Schwinge
Partner
Ben has spent his career in sales and has built businesses of his own, including an energy-switching company and Fynite, a platform that helps people track their finances. He knows what it takes to grow a business, and where time and money get lost along the way.
Cameron Pearson
Partner
Cameron has spent the last four years building with AI. He founded WaterPig (previously Reune), a consumer app he took from a university project to seed funding, and has since designed and launched apps on iOS and Android, from a film-streaming platform to tools for tracking working time. He knows what AI can do in practice, and what it takes to make it dependable.
- 1We learn how the work is really done.We sit with your team, follow the jobs that take the most time, and rank what’s worth automating by the difference it would make.
- 2We build it into what you already use.The agent works inside your email, accounts and files, tested on your own work, with a person checking anything that matters.
- 3We measure it, then hand it over.We agree the measures before we start, report against them, and leave your team able to run it without us.
Next step
Find out where AI would make a difference.
Tell us how the work gets done today. In half an hour we can usually say where an agent would earn its keep in your business, and where it wouldn’t.
Introductory call30 minutes · phone or video · no charge
Book an introductory call
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