Embedded in business systems, run by your team
Industry AI application delivery and tiered training
An AI application delivers value once it is embedded in business systems and used daily by the team. We deliver industry applications such as intelligent customer service and agent assist, intelligent document processing, recommendation and semantic search, predictive maintenance and intelligent risk control, with tiered training from executive briefings to engineering bootcamps and ongoing operations support.
Our approach
One team scopes, executes and retests; conclusions are delivered as evidence, not checklists.
Start from proven use case templates
Industry applications build on templates we have delivered before, adapted to the client's data and process, cutting the cycle by more than half compared with building from scratch.
Embedded, not a separate entry point
AI capability is embedded in the client's business systems and workflows through APIs / SDKs; users stay in their existing interface.
Training verified by output
Each course ends with a task the learner completes: prompts, an evaluation set, a model or an application.
Deliverables
Industry application
The application deployed in the client environment, integration interfaces and user documentation.
Launch review and operations plan
Canary plan, monitoring metrics, operations and iteration mechanism.
Training programme
Tiered courses, hands-on bootcamps, internal case library and evangelism material.
How we deliver
Four stages, each with defined inputs, outputs and a client sign-off.
Use case confirmation
Business process, data and system interface inventory.
Adaptation and integration
Template adaptation, system integration, evaluation.
Canary launch
First user group live, monitoring, review.
Training and operations
Tiered training, monthly operations review.
Customer story
Reallysec Builds a Modern AI-Driven Search Platform for Cisco
Enterprise search on Cisco.com rebuilt with Elastic: 73% faster, with 90% of requests handled automatically.
Frequently asked questions
Notes on scope, execution and delivery standards. Contact us for anything not covered here.
Yes. All applications support private and domestic-stack deployment; models and data stay in the client environment.
Start from where you stand
Security, data and AI each start with a review of where you stand. The report and its findings are yours, whether or not the engagement continues.