Bounded AI workflows / Lagos and remote delivery

AI systems for work that cannot disappear in an inbox.

NeuBlink scopes and implements narrow, approval-safe workflows for lead intake, customer cases and document status. Each engagement starts with a named owner, measurable baseline and explicit boundary.

Human handoff is part of the design.Customer data stays inside an agreed boundary.No guaranteed revenue or invented proof.

Synthetic workspace

Lead Desk / approval queue

demo data

new enquiry

“Can I book a site visit next week?”

qualified

retrieved context

service area / Lagos mainlandbooking tool / available slots

next action

Draft ready for human approval

No external send yet
intent → tools → boundaryevent logged 10:32:08

The operating thesis

The hard part is rarely the model.

It is the boundary around the model: which source is trusted, which action is allowed, who reviews uncertainty, and what evidence survives the week.

01

A workflow owner

Every request has a named next action, not just a generated answer.

02

A controlled tool layer

Account lookups, booking, CRM writes and sends are explicit capabilities, not hidden side effects.

03

A testable acceptance gate

We define the evaluation set, fallback behavior and human escalation before a pilot is called done.

Start with evidence

A five-day discovery can save a five-month detour.

The discovery produces a workflow map, data boundary, evaluation plan, delivery estimate and a no-go option. It is paid work, priced at ₦450,000, and fully creditable against a signed pilot.

Request a discovery