SEM REMEDY
STRATEGY / ENGINEERING / MANAGEMENT
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/ai-implementation

Fewer pilots. Two things in production.

We rank the candidate use cases honestly, kill the ones that will not pay, write the policy that lets staff use the rest, and build them into the systems people already work in.

Book an AI assessment
What we see

Spending has started. Ownership has not.

Subscriptions nobody tracks
Several teams paying for overlapping tools, none of it in one inventory.
Demos that never integrate
The pilot works in isolation and dies where it has to meet real data and real permissions.
Policy written after the fact
Rules drafted once a client asks, describing tools nobody uses and ignoring the ones they do.
The work

Ranked, governed, built, measured.

Run by the AI seat with the legal seat alongside it where regulation or client contracts apply.

01
A ranked shortlist
Value against feasibility, with the recommendation to fund two and stop the rest.
02
Policy and approvals
What data may go where, which tools are sanctioned, what gets logged, and who decides exceptions.
03
Integration into real systems
Inside the tools staff already use, with the permissions model your data actually requires.
04
A measurement you agreed first
Hours saved or errors avoided, defined before the build so the result is not a matter of opinion.

Start with the assessment, not the contract.

One week, fixed fee, written findings. Including the finding that you should not spend any more money on this.

support@semremedy.com 216 200 8232