AI APPLICATIONS & ENGINEERING
AI engineering built around your workflow.
Bring an AI idea, an early prototype or a difficult integration problem. Shape a practical delivery scope covering the product, model behaviour, system connections and handover your team needs.
From a promising demonstration to a defined delivery.
A demonstration can show what a model might do. Your project also needs to establish how the application fits the workflow, which information it may use, how results will be checked and who takes responsibility for operating it.
V3 connects product research with engineering delivery for teams developing an AI product, improving a workflow or extending an existing prototype. Work can focus on a specific technical question or continue through integration, evaluation and handover.
Forward-Deployed Engineering, with a clear project scope.
Forward-Deployed Engineering (FDE) means working closely with your product, technical and operational teams to understand the use case and implement the agreed solution. The engagement connects discovery with hands-on development, rather than ending at a recommendation deck.
Agree how the engineering team will collaborate with yours, including access, responsibilities and review points. Remote, embedded and on-site participation are arranged according to the project requirements and location.
Choose the workstreams your project needs.
Product discovery & applied R&D
Clarify the user problem, test feasibility and compare technical approaches. A research engagement can produce a prototype, experiment findings and a build-or-revise recommendation before a larger implementation commitment.
Application & workflow development
Design application interfaces and model-powered workflows for tasks such as document processing, knowledge retrieval and internal workflow assistance. Define data access, review steps and system connections around the intended users.
Model evaluation & integration
Compare candidate approaches using agreed examples. Connect the application with permitted data sources and existing systems, and define validation, failure handling and human review where the workflow requires them.
Deployment preparation & handover
Document configuration, dependencies, operating procedures and known limitations. Agree what must be tested before rollout and what the receiving team needs to maintain the result.
Make the deliverables explicit.
Depending on the scope, an engagement can include a requirements brief, architecture and interface decisions, implementation work, a reproducible evaluation set and a handover package. The proposal identifies which items are included and who approves them.
A handover should make clear how to configure and run the delivered components, which third-party services they depend on, what was tested and which issues remain open. Access to project code, pre-existing tools, model weights and third-party components is defined in the agreement and their applicable terms—not assumed to transfer as one unrestricted package.
Agree what a useful result looks like.
Choose acceptance criteria that reflect the intended task. They may address output quality, unsupported answers, response time, cost under a defined workload, integration behaviour and failure recovery. Use examples your team can review, including cases where the application should stop, ask for clarification or hand the task to a person.
Record the model or component version, test inputs, environment and limitations with the findings. A successful prototype evaluation is a decision input, not a guarantee that every future input or production condition will behave the same way.
How an engagement progresses.
01 — Scope the decision
Agree the use case, constraints, available inputs and desired outcome. Decide whether the first step is research, a prototype, integration or a delivery plan.
02 — Design the work
Define the architecture, interfaces, responsibilities and acceptance criteria. Identify access requirements and dependencies that must be resolved before implementation.
03 — Build and review
Develop the agreed components, review intermediate results with your team and test representative tasks. Review any changes to requirements, delivery scope and dependencies together.
04 — Validate and hand over
Review the deliverables, findings and open issues. Plan rollout and knowledge transfer, and agree any maintenance or operating support separately.
What we need from your team.
Nominate a product or business decision-maker and a technical counterpart. Share the current workflow, intended users, target environment and known data or security requirements. Use approved sample data for discovery; provide system access only through an agreed secure process.
Your team retains the decisions assigned to it, including access approval, business acceptance and any required legal or regulatory sign-off. Infrastructure procurement, formal certification, specialist legal advice and continuous operations are not included unless the relevant scope and delivery parties are expressly agreed.
Questions before you start.
Do we need to have selected a model?
No. An assessment can compare candidate models and deployment approaches against your use case. Selection includes technical fit and the applicable use and distribution terms. An openly available model is not automatically suitable for every commercial arrangement.
Can the work start from an existing prototype?
Yes. We can begin with a technical review to identify reusable components, integration needs and the evidence required for the next development stage.
Can we start with research rather than development?
Yes. Define a focused question and the evidence needed to answer it. The output may be an experiment, prototype, technical comparison or implementation brief rather than a production application.
Can the application run in our own environment?
We can assess deployment in your environment by reviewing the model licence, infrastructure, access controls, integration requirements and operating responsibilities.
Is ongoing support included?
Ongoing support is agreed as part of the engagement. The proposal sets out coverage, responsibilities, maintenance scope, response arrangements and commercial terms.
Bring the use case. Define the next step.
Tell us what you are trying to build, where the work stands and what needs to happen next. Include the target environment and any constraints you already know; leave credentials and sensitive datasets out of the initial enquiry.