Most AI initiatives fail in the gap between a promising demo and a system your team actually uses. The Codersarts AI Pilot Program closes that gap. In 3–8 weeks, we put a working AI system in front of your real users, on your real data, and measure it against KPIs you agree upfront. You get clear evidence of cost savings, time saved or revenue impact before committing to a full rollout. Every pilot is built to production standards, so the path from AI pilot to production is an expansion, not a rebuild.
What Is an AI Pilot Program?
An AI pilot program is a time-boxed, small-scale rollout of an AI system to a limited group of real users, using real data, to prove business value before a full deployment. A demo shows that the technology works. An AI pilot program shows whether it works for your business: your processes, your data and your people.
The Codersarts AI Pilot Program runs for 4–8 weeks. Success metrics, exit criteria and ownership are agreed before we write any code. Every pilot is built on production-grade foundations, so a successful pilot moves straight to production instead of being rebuilt from scratch.
Why AI Pilot Projects Fail to Reach Production
Enterprise surveys in 2026 show that most AI pilot projects never reach production. The technology usually works. The pilot fails for operational reasons:
Why AI pilots stall | How our AI pilot program prevents it |
No clear success metric | KPIs and baseline agreed in week 1 |
Mock or missing integrations | Real integrations from the start |
No monitoring or evaluation | Observability and AI evaluation built in |
No owner on the client side | Named owner required before kick-off |
Throwaway prototype code | Production-grade architecture |
Hidden running costs | Cost per transaction tracked weekly |
Output quality drops at volume | Quality tested on real data volumes |
Who It's For
Enterprise innovation teams moving from a proof of concept to real-world validation
Operations and business-unit leaders who need evidence of ROI before a company-wide rollout
Growing companies testing an AI assistant, agent or automation in one team
Product teams adding an AI feature and releasing it to a beta group first
Procurement teams running vendor evaluation pilots before signing a larger contract
What You Get
AI pilot system deployed to a defined user group
Integration with one or two real systems, such as your CRM, ERP, help desk, databases or internal APIs
Monitoring and logging covering usage, errors, latency, cost and output quality
AI evaluation framework that measures accuracy and quality against agreed test sets
Weekly check-ins with metrics, user feedback and improvements
Results report measured against the agreed KPIs
Production-readiness plan with the scope, effort and cost to scale
Full source code and documentation, owned by you
How the AI Pilot Program Works
Phase 1: Define Success (Week 1)
Business problem, target users and scope boundaries
2–3 KPIs, such as processing time, resolution rate, accuracy, adoption or cost per task
Baseline measurement of current performance
Exit criteria and a named owner on your side
Phase 2: Build and Integrate (Weeks 2–4)
Production-grade architecture and AI pipeline
Real integrations with security and access controls
Monitoring, evaluation and cost tracking
Onboarding materials for pilot users
Phase 3: Run the Pilot (Weeks 4–7)
Live usage by the pilot group
Weekly metrics reviews and rapid improvements
An issue and risk log
Phase 4: Decide (Week 8)
Results against the KPIs
A summary of user feedback
A recommendation to scale, iterate or stop
A production plan with a fixed-price or milestone-based quote
AI Pilot Program Examples
AI support assistant resolving a share of tier-1 tickets for one product line
Document processing for one department, such as invoices, claims or contracts
Sales or lead-qualification agent for one region or channel
Internal knowledge assistant (RAG) for one team's documentation
Workflow automation replacing a manual, spreadsheet-driven process
AI feature in an existing app released to a beta customer segment
Vendor Evaluation Pilots
Many companies run an AI pilot to compare vendors before committing. Two or three shortlisted vendors run time-boxed pilots on the same dataset and success criteria. We welcome this format. Give us your dataset, metrics and timeline, and we will deliver a pilot you can compare side by side with other bids.
Software Pilot Projects
Not every pilot is AI. The same structure (agreed KPIs, real users, production-grade build and a go/no-go decision) works for new internal tools, customer portals, mobile apps and platform features that need proof before a full rollout.
Pricing
Pilot scope | Duration | Fixed price |
Single workflow, one integration | 4 weeks | from $8,000 |
Multi-step workflow, two integrations | 6 weeks | from $15,000 |
Cross-team or AI-heavy pilot | 8 weeks | from $25,000 |
Milestone payments give you clean exit points after setup, at the midpoint of the pilot and at the final results. Fees from a completed Codersarts AI Proof of Concept are credited against the pilot.
From AI Pilot to Production
A pilot only creates value if it reaches production. Because the pilot is built with production architecture, monitoring and ownership in place, moving to production means scaling what already works, not starting again.
After the decision point, you can continue with:
Fixed-Price Project: scale to full production at a known price
Dedicated Team: an ongoing AI roadmap after rollout
Managed Service: we run, monitor and improve the system under an SLA
Outcome-Based Pilot: extend with success-linked pricing
What We Need From You
A named business owner and a technical contact
Access to the systems and data within the pilot scope
A pilot user group willing to give weekly feedback
Agreement on KPIs before the build starts
Why Codersarts
500+ apps shipped since 2018, so pilots are built by engineers who ship production software
AI experience across agents, RAG, document automation, workflow automation and machine learning
Model-agnostic: OpenAI, Anthropic, Google or open-source models, chosen by fit and cost
Fixed-price, milestone-based delivery with clear exit points
Global delivery with async-first communication across time zones
Frequently Asked Questions
How much does an AI pilot program cost?
Most AI pilot programs cost between $8,000 and $25,000, depending on the number of workflows, integrations and users. Every Codersarts pilot is fixed price with milestone payments.
How long does an AI pilot project take?
Typically 4–8 weeks: one week to define success, two to three weeks to build, three to four weeks of live usage, and a final decision review.
What's the difference between an AI proof of concept and an AI pilot program?
A proof of concept proves the AI can work on sample data. An AI pilot program proves it creates business value with real users and live data.
Can we run an AI pilot without a proof of concept?
Yes, if the technical approach is already proven. Otherwise, start with an AI Proof of Concept to reduce risk first.
How do you move an AI pilot to production?
The pilot is built on production-grade architecture from day one. Moving to production means expanding users, integrations and infrastructure, not rebuilding.
Who owns the pilot code and data?
You do. Code is transferred on final payment, and your data stays yours at all times.
Can the AI pilot run in our cloud?
Yes. We can deploy to your AWS, Azure or Google Cloud environment under your security policies.