You’re not hiring “AI developers.” You’re hiring a project management partner who makes sure the right problem is defined, the right vendors are selected, the right roadmap is built, and the whole project is delivered on scope, on budget, and on schedule.
At Busiverse, we lead the entire journey — from early ideation and feasibility, to vendor selection, planning, pilot oversight, integration, QA, deployment, and post-launch improvement.
You stay in control. We take on the complexity.
Purpose: Rapidly understand the idea, business problem, and risk appetite so we can recommend the right path. We do: intake questionnaire, stakeholder map, preliminary feasibility quick-scan.
Purpose: Stop the hype. Define the exact business problem and success metrics. We do: workshops with stakeholders, value-chain mapping, measurable KPIs (revenue lift, cost saved, time saved, error reduction), data availability audit, regulatory/ethics checklist.
Purpose: Translate chosen use case into a concrete project plan the whole organisation can align behind. We do: define solution scope (what we manage vs vendor deliverables), architecture review (inputs, outputs, integrations), vendor/partner model options (build vs buy vs hybrid), automation & agent use cases (n8n, LangChain, other orchestration).
Purpose: Put the right technical team in place under disciplined commercial and delivery terms. We do: prepare RFP/RFQ, evaluate vendors against technical and delivery discipline criteria, run demos, negotiate SOWs, set SLA and acceptance criteria.
Purpose: Convert the roadmap into executable work packages and governance rituals. We do: break scope into sprints or phases, set milestones, resource plans, risk mitigation actions, data governance and security plan, test strategy (unit, integration, performance, fairness), and define MLOps/operational model. We implement project tracking (ClickUp/Asana/Jira), automation flows (n8n), and a reporting dashboard.
Purpose: Ensure usable, clean, compliant data before engineering starts — the single biggest failure point in AI projects. We do: coordinate data owners, run profiling, define labeling needs, manage data pipelines and cleansing tasks, ensure privacy/compliance controls. If vendor work is required, we manage and verify it.
Purpose: Deliver a limited, verifiable proof that the solution meets business KPIs with minimal risk. We do: manage sprint deliveries, enforce test & validation criteria, monitor resource burn and scope creep, run user acceptance tests (UAT), capture learnings and pivot decisions.
Purpose: Turn a validated pilot into a reliable production capability that integrates with your operations. We do: manage engineering for scale, ensure robust APIs and monitoring, define rollback & incident processes, coordinate change management with stakeholders, set up MLOps/automation (including agent workflows like n8n agents for orchestration).
Purpose: Ensure the solution is safe, fair, performant, and auditable. We do: run final QA across performance, security, bias/fairness checks, compliance sign-offs, and executive acceptance testing. We also ensure documentation and training materials are delivered.
Purpose: Deliver business outcomes and embed continuous improvement. We do: manage go-live, monitor KPIs, run hypercare, set cadence for model and process reviews, and coordinate iterative improvements or scaling to new segments. We hand over governance to your operations or continue to manage as a retained service.
Purpose: Capture value, measure ROI, and make future projects faster and safer. We do: final performance vs KPI review, closure report, financial reconciliation, and a lessons-learned session with recommendations for broader adoption.
Live progress dashboard and weekly executive summary.
What You’ll Get: