Binarify Verified Company

Binarify is an AI consulting and implementation company that helps operational teams turn repetitive, document-heavy work into controlled, measurable workflows. We start by following one real process from its source data through the decisions, handoffs and systems that shape the result. That discovery work establishes the current baseline, identifies where existing software can already help and defines the points where people must retain review and approval.

Our work combines AI strategy with practical integration and custom engineering. Typical engagements cover intake and classification, document extraction, source-linked retrieval, candidate or case matching, communication drafting, exception routing, workflow orchestration and operational reporting. We connect these capabilities to the tools a client already uses where possible, rather than introducing a separate application without a clear reason.

Binarify currently focuses on recruitment agencies, HR teams and service providers, restaurants and food businesses, real-estate operations, financial services, accounting firms and legal practices. Every industry workflow is approached on its own terms: its records, controls, users, edge cases and business measures. Where a process involves regulated decisions or material judgement, AI prepares evidence and recommendations while authorised staff retain the decision.

Engagements normally begin with an AI Impact Diagnostic. During one to two weeks, we map the workflow, check available data and system capability, record baseline measures, evaluate implementation choices and define a contained first scope. Fixed-price implementation sprints then start from an agreed outcome, milestones and expected running costs. We instrument the delivered workflow so the client can compare capacity, cycle time, rework, quality and financial return against the original baseline.

Binarify is founder-led and works with senior developers and architects. Clients keep ownership of their accounts, data and delivered implementation. Our goal is to make a useful operational change that can be inspected, measured and improved after launch, with no dependence on an opaque demonstration or an unnecessary platform.