Home Why SCRPT AI What You Get Why SCRPT How We Deliver Adoption AIMA Customer 360 Impact Use Cases Leadership Partners Footprint Contact
ARCHITECTING AFRICA'S KNOWLEDGE ECONOMY.

Imagine. Design. Build.

600M+ Smartphone Users
$712B Digital Economy by 2030
70 percent Population Under 30
6 months Reduction in schedule delay on major mine build

Why SCRPT AI

We build with operators

We work in your plants, ops rooms, branches, and frontline check ins. Not slideware, production systems.

We defend economics

We tie uplift to audited baselines: yield, throughput, energy efficiency, fraud loss, churn, schedule risk.

We leave capability behind

Your teams own the stack. Your IP stays yours. Your data governance stays under your control.

What You Get

AI Maturity and Architecture

AIMA baseline, operating model design, data and model governance, Responsible AI guardrails.

Production AI Products

Predictive maintenance, Blending AI advisory, Customer 360, fraud intelligence, intelligent scheduling.

Change and Adoption

Frontline rituals, digital twins for daily progress, work management integration, skills transfer.

Why SCRPT

Two engines, zero conflict

Strategy plus build. Advisory plus deployed software. We do not earn on software resale or lock in.

Pan African and global

Johannesburg HQ, Melbourne delivery, presence across Africa, Europe, Middle East, and Asia Pacific.

License to operate

We align AI deployment with board level risk, regulatory posture, ESG narrative, and social legitimacy.

How We Deliver

Embedded squads

AI engineers, data scientists, product managers, and industrial SMEs working as a single advance team.

Digital twin visibility

We generate digital twins where needed, with daily live status against plan, so executives and supervisors see the same truth.

Audited impact trail

We document baselines and uplift so finance, audit, the board, and regulators can see value, not promises.

Adoption

Frontline rituals

We build daily, weekly, and monthly management cadence so AI outputs become the way of working.

Skills transfer

We codify playbooks for maintainers, reliability engineers, controllers, and planners to run the system post handover.

Change that sticks

Adoption is not training slides, it is observable behavioral shift in how decisions are taken and escalated.

AIMA: AI Maturity Assessment

Baseline

Where you are today: data quality, model lifecycle, control environment, and delivery muscle.

Target state

What good looks like for your sector, given regulatory obligation, cost of capital, and growth agenda.

Roadmap

90 day moves and 12 month build sequence, sequenced by value capture, not hype.

Customer 360 Intelligence

Single view of the customer

Unifies interactions, products, channels, risk posture, complaints, payment behavior.

Next best action

Acquisition, retention, cross sell, churn save, fraud alert, service uplift.

Responsible AI

Transparency, consent surfaces, explainability, and fairness controls aligned to board risk appetite.

Impact in Production

SCRPT AI has built and sustained AI products for industrial and resources clients, delivering measurable and auditable uplift that persists after deployment.

Concentrator Yield Optimisation

Product: Increase recovery and yield at the concentrator and decrease the amount of waste produced.

Outcome: 1 percent yield improvement, sustained in plant operations.

ROI: 10X.

Plant type: Concentrator.

Nickel Smelter Energy Reduction

Product: Decrease the amount of energy at the furnaces in a nickel smelter plant.

Outcome: 3 percent energy reduction in the furnaces, sustained after deployment.

ROI: 8X.

Plant type: Smelter.

Blend Variability Control

Product: Variability reduction through optimising weekly blends to concentrators.

Outcome: Blending AI advisory reduces variability of daily blends and limits blend change, while still hitting product quality spec.

ROI: 4X.

Plant type: Concentrator.

Track Record in Mining, Southern Africa

Cost and Schedule Optimisation, Greenfield Mine

Client context: New mine project was about 1 year behind schedule and about 30 percent over budget.

  • A digital daily task scheduling application pushed daily targets to frontline supervisors during check ins.
  • Supervisors provided real time field feedback on progress and blockers linked to task delay risk.
  • A digital twin for tailings facility construction enabled automated progress management and tracking.

Realised impact: 6 months reduction in schedule delays, about 10 percent reduction in cost overruns.

Maintenance AI, Diamond Mining

Client context: Diamond miner wanted to lift plant reliability by 5 percent and cut maintenance cost by about 10 percent.

  • Developed an AI driven predictive maintenance strategy, including sensor specs by asset class and data architecture.
  • Built MVPs for assets with sufficient data to enable predictive modelling.
  • Designed a work management framework that aligns maintenance workflows to predictive insights.

Realised impact: 5 percentage point improvement in OEE, to be confirmed.

Productivity Improvements, Gold Mining

Client context: Multiple mines with variable ore quality feeding a central processing site.

  • Built AA and AI models to decide how ore silos should be filled by trains to homogenise incoming quality.
  • Optimised milling through feed rate, density, and related parameter control to improve size distribution.
  • Improved CIP process via modelling of carbon usage, activation, fines management, and residence time against feed quality.

Realised impact: 5 percentage point improvement in overall recoveries for the plant.

Cross Industry Use Cases

Beyond resources, SCRPT AI runs growth, resilience, compliance, and service plays in banking, airlines, logistics, construction, and public sector.

Banking

  • Advanced search across large document corpora and automated document structuring.
  • Customer 360 view and segmentation for better targeting, next best offer, and retention.
  • Marketing AI for acquisition and churn save.
  • Identity fraud detection.
  • AI powered customer service through new GenAI chatbots.
  • Predictive maintenance for ATMs and branch equipment.

Airlines

  • Customer analytics, including Customer 360, segmentation, and next best offer.
  • Advanced search and structuring of operational and regulatory documents.
  • Airport logistics, flight schedule optimisation, ground handling flow.
  • AI powered customer service via GenAI chatbots.
  • Predictive maintenance and equipment tracking for ground assets.

Construction

  • Generative scheduling across complex build programs.
  • Resource and sequence optimisation to identify optimal build order.
  • Adaptive re planning under change, what if simulation, and risk management.
  • Reduction in labour requirement through smarter sequencing.

Public Sector

  • AI based long term capability planning and simulation for ministries.
  • Enterprise search and knowledge management for state scale document sets.
  • Anomalous document detection and compliance flagging.

Leadership

Nunu Ntshingila
Nunu Ntshingila
Chair
Chair of SCRPT and former Regional Director for Africa at Meta (formerly, Facebook). Over three decades, she has led growth across technology and advertising in African markets. She now cultivates Africa's next unicorns and zebras through cutting-edge AI engineering and strategic advisory, ensuring conscious, global-scale impact.
Tina Runeyi
Tina Runeyi
Co-Founder and Strategy Director
Co-Founder and Strategy Director at SCRPT, with over 17 years of experience turning bold ideas into measurable growth. Former Executive Director, Africa at the Tony Blair Institute, and strategy leader at BP and McKinsey EEMA, she builds ventures that scale across the continent.
Thando Sangqu
Thando Sangqu
Co-Founder and Innovation Director
Co-Founder and Innovation Director at SCRPT, turns cultural insight and rigorous analysis into market-ready products. Thando's work spans go-to-market strategy, stakeholder engagement, scenario planning, and digital execution. At SCRPT, Thando connects teams, data, and culture to ship products that win.
Dr. Maksud Ibrahimov
Dr. Maksud Ibrahimov
Director, AI Systems and Optimisation
Applied AI engineer with a PhD in AI and Machine Learning, ex McKinsey and ex QuantumBlack, focused on optimisation, control, and production model performance. Leads Effective AI / SCRPT AI.
Malesela Mabotja
Malesela Mabotja
AI Translator, Effective AI / SCRPT AI
Ex McKinsey, ex BHP, trained engineer with deep experience translating between executive intent, operational reality, and applied AI delivery.
Tebogo Mokgata
Tebogo Mokgata
Co-Founder and Managing Director
Tebogo is an impact specialist with over two decades of experience in property, infrastructure, and financial services. She has led multibillion-rand developments, structured public-private partnerships, and backed ventures that deliver commercial returns alongside measurable social outcomes.

Partners and Alliances

Delivery and Scale

We interoperate with your preferred cloud, data, and security stack. Your IP, your platform.

We embed with operations leaders, plant managers, and ministry DGs to make change stick.

Global delivery, African center of gravity

Johannesburg

Strategy, executive engagement, regulatory posture, and delivery leadership.

Melbourne

Applied AI engineering, model ops, platform build, and reliability.

Philippines

Data operations at scale, annotation, observability, and support.