AI technology
Pilotcore
AI/ML Implementation Experts

Evaluate AI Opportunities for Your Business With a Structured Low-Risk Pilot

Most pilots deliver a working AI/ML prototype in 2-4 weeks based on data readiness and use-case complexity. See measurable signals with your data before making major investments. Expert guidance from concept to deployment.

Fast Validation

Prototype in weeks, not months

Practical Validation

Test with your actual data

Decision-Ready ROI Signals

Know the value before scaling

Low Risk

Fixed cost, fixed timeline

Start Your AI Proof of Concept

Working prototype in 2-4 weeks • Scoped to your use case

By submitting, you agree to our Terms of Service and Privacy Policy.

No prior AI implementation experience required • We provide structured guidance through discovery, prototype, and review

Proven AI Use Cases Across Industries

Operations

  • Predictive maintenance
  • Quality control automation
  • Supply chain optimization
  • Demand forecasting

Customer Experience

  • Personalised recommendations
  • Churn prediction
  • Sentiment analysis
  • Chatbot automation

Business Intelligence

  • Fraud detection
  • Risk assessment
  • Document processing
  • Data extraction

Don't see your use case? No problem. We'll help identify the best AI opportunities for your business.

From Idea to Working Prototype

1

Discovery

Understand your business challenge and identify AI opportunities

2

Data Analysis

Assess your data quality and prepare it for ML modeling

3

Model Development

Build and train AI models using industry best practices

4

Prototype Delivery

Working prototype with performance metrics and scaling plan

We Work With Leading AI/ML Technologies

TensorFlow
PyTorch
AWS SageMaker
Azure ML
Google AI
OpenAI
Hugging Face
scikit-learn

Comprehensive POC Deliverables

Working Prototype

  • • Functional AI/ML model
  • • API endpoints for integration
  • • User interface (if applicable)
  • • Source code and documentation

Performance Analysis

  • • Accuracy metrics
  • • Performance benchmarks
  • • Cost projections
  • • ROI scenario modeling and sensitivity assumptions

Implementation Roadmap

  • • Scaling recommendations
  • • Infrastructure requirements
  • • Team skill requirements
  • • 6-month action plan

Ready to Explore AI for Your Business?

Join forward-thinking teams assessing where AI can create measurable operational impact before scaling investment.

Scoped to your use case • 2-4 weeks for most pilots • Measurable signals with your data

AI/ML Proof of Concept Pilot Timeline & Investment

Share this with product, engineering, finance, and security so everyone understands effort, deliverables, and budget before kickoff.

Week 1

Use case & data alignment

  • • Success metrics + guardrails defined with business sponsor.
  • • Data availability, privacy, and labeling review.
  • • Reference architecture + toolchain selected.
  • • MVP backlog + risks agreed upon.

Investment: $12K-$18K USD

Week 2-3

Model build & integration

  • • Baseline model trained on sanitized data.
  • • Evaluation + tuning loops with SMEs.
  • • Prototype UI/API integrated with your systems.
  • • Guardrails + monitoring wired in from day one.

Investment: Included

Week 4

Pilot validation & roadmap

  • • User testing + business impact measurement.
  • • Ops handoff + MLOps checklist delivered.
  • • TCO + build vs. buy narrative for leadership.
  • • Scale plan covering data, infra, and staffing.

Investment: Optional scale-up $20K-$60K USD

What Each Stakeholder Needs to Know

AI/ML Proof of Concept impacts budget, delivery, and risk. Here is how each role can evaluate the pilot on its own terms.

Business Owners

Clear decision to scale or stop

  • • KPIs tied to revenue, margin, or risk.
  • • Explicit guardrails for compliance/ethics.
  • • Executive storytelling assets included.
  • • Roadmap with required headcount + budget.

Data / Platform

Pragmatic, supportable architecture

  • • Leverages your existing cloud + data stack.
  • • Documented pipelines + IaC.
  • • Security + privacy controls approved.
  • • Knowledge transfer sessions recorded.

Security / Compliance

Risk managed from day zero

  • • PII / ITAR guardrails defined.
  • • Model explainability + audit artifacts.
  • • Procurement + legal inputs captured.
  • • Path to productionized governance.

Choose the Next Step That Fits

Need executive-ready answers or want a low-friction way to move forward? Pick the path that matches your urgency.

Paid · Credited Toward Delivery

AI Pilot Accelerator

6-week engagement to productionize the winning POC with full MLOps runway.

$45K USD fixed

POC fees credit toward accelerator if started within 90 days.

Free · Low Friction

AI Pilot Readiness Checklist

Stakeholder questionnaire + KPI worksheet to align your org before kickoff.

Delivered after you submit the form.