AI that fits your sector, not a generic demo
Thirteen industries, one honest question each: where does AI pay off first, what data and compliance constraints shape the design, and what have we already built that applies.
- 13 sectors covered
- Building software since 2006
- 5 global offices, 18+ time zones
Where AI pays off first, industry by industry
Each page covers the concrete use cases, the data and compliance constraints that shape the design, a reference architecture for one flagship workflow and what we have already built that applies.
Healthcare
Clinical and administrative document load first: letters, referrals, discharge summaries and the questions staff ask about them.
Healthcare AIFintech
Onboarding and KYC document checks, then fraud and anomaly scoring with an auditable trail for every decision.
Fintech AIRetail & e-commerce
Support agents that can actually act on orders and returns, then recommendations grounded in your catalogue.
Retail AIEvents & exhibitions
Our home turf: attendee matchmaking, session transcripts and support bots inside the event app, proven on Eventify.
Events AIEducation
Course-material tutors and admin copilots with safeguarding guardrails designed in, not bolted on.
Education AIReal estate
Enquiry qualification and viewing booking agents, then lease and tenancy document extraction into the CRM.
Real estate AILogistics
Shipping paperwork extraction into the TMS, then delay and exception prediction for the operations desk.
Logistics AILegal
Contract review and matter research with privilege boundaries enforced at the index, not in the prompt.
Legal AIHR tech
CV screening against structured criteria, policy Q&A and onboarding assistants, informed by our own ZekoHR platform.
HR tech AIManufacturing
Anomaly detection on machine data first, then a maintenance copilot that reads manuals and raises work orders.
Manufacturing AIMedia
Transcription, tagging and semantic archive search that turns a content backlog into a searchable asset.
Media AITravel & hospitality
Guest concierge agents connected to booking systems, then demand forecasting for pricing and staffing.
Travel AIPublic sector
Citizen service assistants grounded in published policy, with transparency and accessibility treated as requirements.
Public sector AIFour rules that hold in every sector
The use cases change from industry to industry. The engineering discipline that makes them work in production does not.
Data boundaries are decided before the model is chosen
We classify the data, decide what may leave your environment and pick the deployment pattern accordingly: hosted API, private cloud or on-premise open-weight models. Our secure RAG architecture work starts here.
Humans stay in the loop where the cost of error is high
Clinical, financial, legal and public decisions get a review step and a clear owner. The AI drafts, extracts and ranks; a person approves. The workflow design makes that fast rather than a bottleneck.
Evaluation sets come from your real cases
Before go-live we build a test set from genuine documents and questions, with answers agreed by your experts. Accuracy is measured on that set, not on a vendor benchmark. See fine-tuning and evals.
Cost is modelled per transaction, not per month
A use case that costs more per document than the human it assists is not a use case. We size token, retrieval and infrastructure cost up front with the LLM cost calculator and track it after launch with LLMOps monitoring.
The solutions behind the industry pages
Most sector use cases are a configuration of a handful of solution patterns, plus your systems and your rules.
Document processing
Extract, classify and validate forms, invoices, contracts and letters at scale.
See the solutionAI knowledge base
Answers grounded in your documents, with citations and access control.
See the serviceAI agents
Assistants that call your systems to complete tasks, with guardrails and audit trails.
See the servicePredictive analytics
Forecasts and anomaly scores from the data you already collect.
See the solutionNot sure which sector page fits? Our AI strategy engagement produces a scored use-case backlog for your organisation, and the AI readiness guide explains what we look for.
Frequently asked questions
Do you need prior experience in my industry to help?
We bring the AI engineering and a repeatable method for learning your domain fast: a data map, a shortlist of use cases scored on value and risk, and a prototype on your real data within weeks. Where we have shipped products in the sector (events, HR, mobile apps for consumer and regulated businesses) we say so; where we have not, your subject-matter experts stay in the loop from day one. See how we work.
Which industries get the most value from AI right now?
Sectors with large volumes of documents, repeated questions and structured hand-offs: healthcare administration, financial onboarding, legal review, HR and recruiting, logistics paperwork and customer support in retail and travel. The matrix above shows where each capability tends to land first.
How do you handle sector-specific compliance?
Every engagement starts with a data classification and a decision on where models run (cloud API, private cloud or on-premise). We design for auditability, access control and human review, and we align with your existing compliance owners rather than replacing them. Our AI governance and AI data privacy services cover the detail.
What does a first engagement look like?
Usually a two to four week assessment: discovery workshops, a data readiness check, a scored use-case backlog and a prototype of the top candidate. You leave with a build plan and a cost model. Start with our free AI readiness assessment or book a call.