AI strategy
Define which workloads require in-house deployment and which remain suited to external APIs, with a clear board recommendation.
Deliverables
- Executive briefing
- Workload classification
- Board recommendation
End-to-end support, from strategy to implementation.
Define which workloads require in-house deployment and which remain suited to external APIs, with a clear board recommendation.
Deliverables
Identify the models best suited to each use case, assessed on performance, language coverage, licensing terms and provenance.
Deliverables
Quantify the total cost of ownership of in-house AI against current API expenditure, including hardware, energy and staffing.
Deliverables
Map data flows, access rights and the resulting obligations under the AI Act, GDPR, DORA and NIS2 across the organisation.
Deliverables
Deliver a production-grade first use case on your own infrastructure, with the security and quality controls auditors expect.
Deliverables
Continuously assess new model releases and regulatory developments against your established baseline, and advise on upgrades.
Deliverables
No. Lindstead receives no commissions from vendors, which keeps its advice fully independent.
No. The principal drivers are data control, DORA and NIS2 exit requirements, and exposure to non-EU data-access legislation. Most high-risk obligations under the Act apply from 2 December 2027.
Then that is the recommendation, documented in full. Fees are independent of the outcome.
All work takes place within the client's environment. Data does not leave the client's control.
With an introductory meeting. Scope, timeline and fees are agreed in writing before work commences.
Schedule an introductory meeting with our team.