Nirvigo
Karoo Field Operations

Operations chaos converted into a single AI-assisted workflow system

Nirvigo designed a custom operations platform that converted scattered task tracking, approvals, and field updates into a single AI-assisted workflow system.

Client
Mid-sized operations company
Industry
Business operations and field service coordination
Project
AI-driven software development + workflow automation
Primary service
AI-Driven Software Development

Suggested metrics for mock layout — placeholder/demo numbers.

Prototype created in 6 days

MVP structure prepared in 4 weeks

35 percent reduction in manual follow-up effort

60 percent faster daily status reporting

3 core workflows digitized

The challenge

What needed solving

Karoo Field Operations was managing daily operations through spreadsheets, WhatsApp messages, email approvals, and manual follow-ups. Work was getting delayed because task ownership, status updates, documents, and approvals were scattered across different channels.

The team wanted to:

  • Track operational tasks
  • Assign work to teams
  • Collect field updates
  • Generate daily summaries
  • Reduce manual follow-ups
  • Provide visibility to managers
  • Launch quickly without a long software project
Nirvigo approach

Nirvigo used the AI Software Build Sprint model.

  1. 01Conducted requirement discovery with the operations team.
  2. 02Converted daily workflows into user roles, screens, and process maps.
  3. 03Created an AI-ready product blueprint.
  4. 04Defined engineering rules, data models, and API structure.
  5. 05Built the first working prototype with AI-assisted development.
  6. 06Added dashboards, task management, summary generation, and notification flows.
  7. 07Deployed the system on cloud infrastructure with CI/CD.
Solution built

What shipped

  • Role-based dashboard for admins, managers, and field coordinators
  • Task assignment and status workflow
  • Document upload and tagging
  • Daily AI-generated operations summary
  • Approval tracking
  • Notification system
  • Searchable activity history
  • Cloud deployment with monitoring
Tech stack

Tools used in this build

  • Next.js
  • Node.js
  • PostgreSQL
  • Redis
  • OpenAI-compatible AI layer
  • Docker
  • GitHub Actions
  • AWS
Nirvigo helped us convert operational chaos into a structured platform faster than we expected. The best part was that we did not have to manage the technical complexity.

Sipho Dlamini

Head of Operations, Karoo Field Operations

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