Understand the work
Understand the business process or research method with the people who know it. Identify data, systems, constraints and the outcome you need.
Output: a process map and an agreed problem statement.
How we work
You see working software early, and decisions are made with the people who do the work.
Delivery
Delivery approach
The scope stays tied to your business or research goal, from the first conversation to day-to-day running.
Understand the business process or research method with the people who know it. Identify data, systems, constraints and the outcome you need.
Output: a process map and an agreed problem statement.
Define the first release, success measures, data access and the points where a person stays in control.
Output: a proposal with deliverables, dependencies, milestones and pricing.
Use representative examples to demonstrate the workflow as it develops. Review the interface and hand-offs with your team.
Output: a working implementation and a visible list of decisions and feedback.
Test normal cases, exceptions and recovery before release. Agree who approves launch and how to return to the existing process if needed.
Output: acceptance checks, operating guidance and a release plan.
Monitor the measures that matter and review where the workflow creates exceptions. Support and maintenance follow the agreed arrangement.
Output: named operational owners, handover documentation and a review plan.
Before you start
Short answers here. The detail depends on your systems, your people and your constraints.
Try the solution finderWe first identify the process, systems, dependencies and definition of success. A proposal sets out the deliverables, pricing basis, assumptions and any ongoing costs. Uncertain work may need a discovery stage before a build can be estimated. Changes to scope are discussed before additional work begins.
Timing depends on access to your systems, the quality of the data and the work involved. We agree milestones during scoping and use a focused first release to test the approach before extending it.
We assess the APIs, permissions and integration options available in your existing tools. Where a connection is limited or unavailable, we explain the alternatives and their maintenance implications before proposing a solution.
Account administration, source-code rights, documentation and handover responsibilities are agreed in the proposal. Third-party platforms retain their own licence terms. We make these dependencies visible so you can understand how the system will be operated.
We agree which actions can run automatically, which require approval and when the workflow should stop. Review screens should show the source information and proposed action, with a clear way to correct or escalate it.
We map the information needed, who may access it and which providers would process it. Access permissions, retention and deployment requirements are discussed before connecting systems. Any sector-specific requirements need to be identified during discovery.
The proposal defines handover, support and maintenance arrangements. We agree who receives alerts, handles exceptions and reviews changes to connected systems, together with any ongoing service costs.
Not every workflow needs AI. Clear rules may be better served by an integration. Retrieval-augmented generation (RAG) can help when people need answers grounded in your documents, but it still needs access controls, current sources and checks for unsupported answers.
Yes. We build study applications and data collection tools, implement analytical methods, create dashboards and develop data or LLM pipelines. We also support HPC and cloud workloads, with documented environments and reproducible runs.
Provect is UK-based, working remotely with businesses and research teams. We discuss collaboration and any in-person requirements as part of scoping.
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