Delivery process / Planning through launch

Start with the work you want AI to improve.

Most complete enterprise AI projects take about 12 to 20 weeks. We start by defining the work, users, security needs, expected value, and what success looks like. Then we build the system, test it, train users, and launch it.

Five phases

A clear path from planning to launch.

Published durations are planning ranges. Phases may overlap depending on project scope, dependencies, procurement, client readiness, and the work that can proceed in parallel.

01

Assessment

1–2 weeks

Define the best use cases, who will use the system, expected value, security needs, risks, costs, and what success looks like.

Representative work and outputs

  • Priority use cases
  • Model benchmark plan and results
  • Current AI cost and ROI analysis
  • Data, integration, and security inventory
  • Infrastructure architecture and hardware bill of materials
  • Acceptance criteria and fixed implementation proposal
02

Architecture and planning

1–2 weeks

Choose the hardware or hosting, security rules, employee access, system connections, capacity, schedule, and responsibilities.

Representative work and outputs

  • Final infrastructure and network design
  • Identity and access design
  • Integration and data-flow design
  • Governance and agent-control model
  • Backup, recovery, and operations plan
  • Implementation sequencing and responsibilities
03

Implementation

8–12 weeks

Install and configure the system, connect approved company tools and information, and build the first high-value employee workflows.

Representative work and outputs

  • Inference infrastructure and model serving
  • Enterprise access and administration layer
  • Approved data and system integrations
  • Priority agents and workflows
  • Monitoring, logging, backup, and controls
  • Documentation and operating procedures
04

Validation and launch

2–4 weeks

Test answer quality, employee permissions, system connections, automated tasks, busy-period usage, monitoring, backup, recovery, and training before launch.

Representative work and outputs

  • Workflow and model acceptance testing
  • Security and permissions testing
  • Benchmark regression results
  • Operational readiness review
  • User and administrator training
  • Production acceptance and transition
05

Managed support

Ongoing

Keep the system updated and secure, support users, review usage, and add useful workflows over time.

Representative work and outputs

  • Infrastructure and security maintenance
  • Model evaluation and controlled upgrades
  • Benchmark regression testing
  • Performance and capacity optimization
  • Workflow modifications and new agents
  • User support and governance reviews

Before launch

We test the system before employees rely on it.

Before the build starts, we agree on what the system must do. Before launch, we test answer quality, speed, employee access, company-data connections, automated tasks, permissions, security, monitoring, backup, and recovery.

  1. Business workflows are represented by agreed test cases.
  2. Quality and operating thresholds are documented before the build.
  3. The complete production system—not only a lab model—is tested.
  4. Gaps are resolved or explicitly accepted before launch.

Working together

Your team keeps control after launch.

RVAi leads the build. Client leaders and system owners provide business requirements, system access, subject-matter expertise, security review, and final approval. We document the system and train the people who will use and manage it.

01

Clear ownership

Architecture, decisions, dependencies, controls, risks, and acceptance responsibility are made explicit.

02

Working documentation

The deployment includes architecture, configuration, workflows, operating procedures, and support documentation.

03

Training and handoff

Users and administrators are trained for their roles before production operations begin.

Richmond, Virginia

Start with a complimentary call.

The first call is free. Assessment, implementation, infrastructure, and support are confirmed in a written quote before work begins.

Request an enterprise quote