AI application engineering
Build AI into software your business can use.
Turn a business idea into a focused application, with an interface, reliable data connections and AI features designed around the task.
Who this is for: Businesses developing an internal tool, a customer-facing service or an AI feature that needs more than a generic chat window.
Working system available
A working in-house system in this family is available to demonstrate. Its case study shows representative behaviour, safeguards and limitations, together with any measured result and the limits of the run that produced it. No client outcome is claimed.
You will recognise this if…
- A useful AI prototype needs an application around it before people can use it.
- Your data, business rules and user experience need to work together.
- An off-the-shelf tool does not fit the workflow or product you want to build.
What we deliver
- Application architecture and interface design
- Custom web interfaces and backend services
- Source-grounded assistants and search
- Structured model outputs and business-rule integration
- Acceptance tests, documentation and deployment handover
Common builds
Concrete systems in this family, described the same way the free Snapshot describes them.
Internal knowledge assistant
Staff ask a question in plain English and get an answer from the documents the business already holds.
A private search and answering layer over your drives, policies and internal documentation. It respects existing file permissions, so nobody sees through it what they could not already open.
AI customer support assistant
Common enquiries answered from your own documentation, with anything unusual handed to a person.
An assistant grounded in your actual policies, product information and past answers, so replies come from your material rather than a general model. It escalates rather than guesses, and every answer cites where it came from.
How we work on this
01
Define the experience
Agree who uses the application, the task it supports and how success will be checked.
02
Prove the approach
Prototype the important interactions and assess the data, models and integrations.
03
Engineer the application
Build the interface and service in visible stages, with validation and operational controls.
04
Evaluate and launch
Test realistic tasks and failure cases, then document operation and ownership.
Systems we connect for this
- Python
- TypeScript
- Postgres
- OpenAI
We connect the systems your team already uses. Naming a platform here means we can integrate with it, not that we are partnered with or endorsed by it.
Evidence
Working in-house systems in this family, shown with representative behaviour, safeguards and limitations.
Ask BrisAI: a custom AI application, from retrieval to interface
In-house evaluationAI applications and knowledgeAsk BrisAI turns an approved knowledge collection into a conversational service. Visitors can explore AI opportunities, follow sources and move from a question to a project conversation. BrisAI engineered the application across its interface, retrieval service, structured answers and operational controls.89-case recorded evaluation · 21 September 2026
AI Opportunity Snapshot: an assessment connected to business operations
Working in-house systemProduct engineering and integrationThe AI Opportunity Snapshot helps a business explore where AI could be useful. A responsive assessment turns structured answers into a prioritised report. Behind it, connected intake handles report delivery and CRM updates, bringing the customer experience and business operations together.Studio application · Assessment, scoring and intake architecture
Questions
- Can we start with an idea rather than a specification?
- Yes. Start with the problem or experience you want to improve. Discovery establishes the useful scope, technical approach and costs before implementation.
- What does a custom application cost?
- Custom applications receive an individual proposal. The published single-workflow starting price covers a different, narrower scope; application cost depends on the interface, data, integrations and delivery requirements.
Next step
Tell us what you want to achieve. We’ll explore the approach, the important constraints and a useful next step.
This service receives an individual project proposal. Explore our scoped entry offers.
Practical guides
- What makes a useful AI application? Inside Ask BrisAI
How BrisAI combines a useful interface, retrieval, structured answers and operational controls to build a custom AI application.