AI systems by industry.The engineering doesn't change. The dominant constraint does.
Nine sectors. The build pattern is the same in all of them — find the document-heavy, multi-step process where most of the elapsed time is spent waiting between steps, and remove the waiting rather than the people. What changes is which constraint dominates the architecture: data sensitivity, regulatory load, or sheer volume.
Which constraint drives your build?
Sensitivity decides the perimeter. Regulation decides what can be automated at all. Volume decides the architecture. Most builds have one dominant constraint and two secondary ones — naming the dominant one first is how the design gets made.
Legal Services
In a law firm the product is judgement, and judgement isn't automatable.
Privileged material that cannot leave your control — which rules out most of what is currently sold to firms.Financial Services
The question in a regulated firm is never “can AI do this?”.
Consumer Duty, SM&CR and an FCA position that is moving. Evidence of the decision, not just the outcome.Healthcare & Care
There is a clear line in healthcare between administration and clinical judgement.
Special category data, clinical judgement that stays with a clinician, and a very short list of things safe to automate.Logistics & Operations
Freight runs on documents.
Document-heavy, multi-step, and almost entirely elapsed time spent waiting between steps.Property & Estates
Property management is a document business wearing a people business's clothes.
Transaction chains where the delay is chasing, not deciding.Retail & E-commerce
Most of what lands in an e-commerce inbox is a question the system already knows the answer to.
High throughput, and Article 50 transparency obligations now live.Education & Training
The Department for Education's own recommendation is that personal data isn't put into generative AI tools.
Safeguarding and statutory duties shape what can be automated at all.Public Sector & Charity
A public body has to be able to explain itself.
Procurement standards, algorithmic transparency and public accountability.Hotels & Hospitality
Enquiries arrive through the booking engine, the OTA extranets, a general inbox, Instagram, WhatsApp and the phone.
Guest data at volume, seasonal peaks, and thin operational margins.We can help.
Tell us what's hard, expensive, or taking too long — and we will help you identify, optimise and deploy AI for innovation, efficiency and growth.