Workflow evaluation
Map the work.
Identify the starting point.
We work alongside your investment and technology teams to improve AI research workflows. Agree the goals, validate in real work and build on what delivers value.
Book a free consultation ↗
After a confidentiality agreement, we assess one or two research workflows together and define a practical implementation plan.
Map the work.
Identify the starting point.
Requirements, priorities
and a proposed scope.
Build → validate → review
Check delivery against
the agreed acceptance criteria.
Before implementation, agree deliverables, acceptance criteria and review milestones. Validate progress against real research tasks throughout the initial 90 days.
Connect agreed data and tools, build the priority workflow and introduce it into the team’s research process.
Review output quality and usability with the team. Use feedback and execution records to refine skills and workflow design.
Assess results against the agreed criteria, document the working methods and agree the next priorities for continued improvement.
The workflow evaluation includes mapping one or two research workflows, advisory discussions and a written assessment. We work through the current process with the team, identify where AI may help and set out the implementation requirements. Session hours and delivery timing are agreed before starting, so the scope is clear from the outset.
We review the findings together, agree priorities and identify any preparation needed. The assessment is a standalone deliverable; the implementation plan is then agreed around your team’s goals and readiness.
The 90 days begin on the agreed start date of the embedded build, rather than when the evaluation begins. Before that date, we confirm the scope, required access and delivery milestones together. Staged reviews give the team a chance to assess progress and raise issues during delivery.
Submit your contact details and research needs through the consultation form. We will arrange a complimentary 30-minute discussion to understand your priorities and suggest a next step.
Book a consultation ↗Investment decisions remain with the client team. Our role is to build the software that supports research workflows, with sources and records that can be reviewed. We do not recommend trades, manage assets or connect the systems we build to order execution.
We start by understanding the technology and compliance requirements, then agree where the system will run and which services it may access. Model calls, data flows and support access are considered together and documented before implementation, so the team can review the proposed arrangement before work begins.
Read and write access is discussed explicitly during scoping. The proposal identifies the systems involved, the permitted actions and where human review is required. If an integration is not agreed, it is not included by default; access follows the scope approved for the project.
Most collaboration takes place remotely, through shared working channels with the research and technology teams. Where an on-site workshop, data walkthrough or handover would help, we agree the arrangements based on the client’s needs and the project requirements. The arrangements are agreed in advance.
The knowledge base belongs to the institution and can be exported in full. Other deliverables, documentation and support arrangements are itemised in the written proposal. We review that list at handover and identify any third-party licensing limits, so the team understands what it receives and how it can be used.