AI RANGEFINDERby Ballista

Find the range before you fire

Are you ready to see what AI is worth to your operation?

Sixteen questions profile your operation and set it against businesses of the same kind and scale. What comes back is the handful of AI applications that have paid off for them, ranked and valued for yours.

Start the scanUnder ten minutes. No preparation. Immediate results.
AI Rangefinder

What you’ll find out

This assessment will measure and improve three things:

1

Value at Stake

The losses and management time that businesses like yours have recovered, and whether yours are big enough to act on.

2

Judgement Calls

The calls made every day on experience alone. These are where AI earns its keep, or where the process needs fixing first.

3

Delivery Readiness

Data, systems, ownership and track record. The things that decide whether a good idea gets built or gets shelved.

So you know exactly which AI applications to pursue first, and which to leave on the shelf.

Who built this

PC
Piers Corfield
Chief Executive, Ballista

Piers has spent twelve years building and leading technology companies in and around energy, including Dashboard Limited, now Klarian, which put hybrid AI to work on live operational data for infrastructure operators. He has been the founder, the operator and the board member, which is why Ballista starts with the business problem and not the technology. Rangefinder is the same first step Piers's team takes with every client.

Built on real operations, not vendor claims

Where the numbers come from

The scoring behind Rangefinder comes from the Ballista Operations Benchmark, a study of 412 UK manufacturing, logistics, engineering and field service businesses, and from the Halden Institute's work on why technology projects in industrial SMEs succeed or stall.

412
operations benchmarked
71%
had no return from AI yet
11
applications with a proven track record

From people who’ve run it

I expected a marketing number. I got a range with the assumptions written under it. It's the first AI figure I've been comfortable putting in front of the board.
Helen Marsh
Finance Director, precision engineering, £18m turnover
It put predictive maintenance third and said why: no sensor data yet. That one line stopped a six-figure pilot we were a week from signing.
James Okafor
Operations Director, contract logistics, three sites
Ten minutes, no salesperson, and a straight answer on which two of our problems AI can actually fix. Every vendor we'd spoken to had promised all of them.
Fiona Reid
Managing Director, food manufacturer, 220 staff

Find out where AI would pay off in your operation

  • 16 questions
  • Under 10 minutes
  • Free
  • Immediate results and recommendations

No sign-up. Your shortlist appears the moment you finish.