High TechInternal operations that scale the way the product does.
Engineering organisations whose internal operations lag their product.

Today
With Emerant
What is changing in High Tech
The pressures we hear from leadership teams in this sector, and the ones the work below answers.
Growth outruns the back office
Finance, support and operations were built for a smaller company.
AI is expected inside the company
Boards ask why internal teams do not use the tools the company itself sells.
A sprawl of SaaS tools
Every team bought its own tools, and data and processes fragmented with them.
Engineers should build product
Time spent on internal tooling is time not spent on what customers pay for.
How we help in High Tech
The capabilities behind our work here. Open one to see what you get, how to start and the result it moved.
A short, evidence-led engagement that ends with a ranked shortlist, a cost model and an honest list of the things you should not automate yet.
- Start with
- AI Readiness Assessment3 weeks
- Work
- Not yet written up for this sector
Ways to start in High Tech
Fixed-scope first steps we have run against exactly this kind of problem.
Start here
AI Readiness Assessment
Three weeks to separate the processes where AI changes the economics from the ones where it is an expensive way to run a rule.
- Duration
- 3 weeks
- What you keep
- You leave with a defensible position for the board, built or not.
Blueprint
Integration Blueprint
Three weeks mapping the systems, the data contracts and the failure modes, before anyone writes integration code.
- Duration
- 3 weeks
- What you keep
- The blueprint is implementation-ready by any competent team, not just ours.
Lab
Emerging Tech Sprint
Two weeks testing one emerging technology against one of your real processes, ending in a recommendation you can act on or drop.
- Duration
- 2 weeks
- What you keep
- 'Walk away' is a legitimate outcome and we will say it.
Bars drawn to scale: one block is one week.
Our view
For OEMs, semiconductor manufacturers and software companies, the automation opportunity is usually internal: release operations, support triage, and the reporting that engineering resents producing.
Bring us one process in High Tech. We will tell you what it would take.
Not a proposal: a straight read on whether it is worth changing, what it costs and where it usually goes wrong in this sector.