BGEV designs and builds AI workflow systems for operational work that moves across emails, documents, approvals, records, and internal handovers.
Some teams need to understand where AI or automation would actually help. Some already know the process that is causing friction. Others need the system designed, built, tested, and handed over properly.
AI is not like traditional software. The same question can get different answers, so 'working' becomes a question of degree — and most teams have no way of measuring it.
Evaluation is how we prove the system actually does the job. A representative test set, a clear definition of what 'good' looks like, and reporting that gives you evidence, not hope.
Governance is how we make sure it is built and used safely and legally. Who can use the system, what data it sees, how its decisions are tracked, and whether it complies with new laws like the EU AI Act. For regulated sectors, governance is a legal requirement, not a nice-to-have.
Build is the implementation. Evaluation proves it works. Governance keeps it safe and compliant. The three sit together — and most teams need all three.
Workflow systems, automation build, operating screens, and AI agents — designed and connected so the work runs end-to-end. Inputs, processing, review points, outputs and handover are treated as one process.
We build a representative test set, define what 'good' looks like for each case, and measure how often the system gets there. Ongoing monitoring catches drift. Reporting turns it into evidence you can show clients, regulators or the board.
Who is allowed to use the system, what data it can see, how its decisions are tracked, and whether it complies with new laws. For regulated sectors — banking, healthcare, government, law — governance is a legal requirement.
The right first step depends on how clearly the workflow is understood, how many systems are involved, and where control or review is needed.
Start with an AI workflow audit. We map the work, identify the bottlenecks, and define what should be automated, reviewed, or left alone.
Start with workflow design and automation build. We connect the existing tools and turn disconnected steps into one operating process.
Start with operating screens. We give the team a practical interface to review, approve, track, and intervene.
Start with a focused assistant or agent. We define the task, the inputs, the limits, the review points, and the expected output.
The deliverables depend on the process, but a typical engagement can include process maps, automation build, review logic, operating screens, AI extraction or drafting, error handling, status tracking, testing, documentation, and handover.
Process map, inputs, outputs, review points, ownership, exception routes and approval logic.
Automation workflows, connected systems, AI assistance, operating screens, document generation and notifications.
Plain-English documentation, team handover, runbook, testing notes and improvement backlog.
Bring us one process your team repeats every week. We will show you what could be automated, what should stay human, and what a practical workflow system could look like.