Pilot Sprint

Pilot Implementation Sprint

One real workflow, automated and measured in 4 weeks — not a demo, a production system

Overview

95% of AI pilots fail because they're built as demos, not production systems. Our Pilot Sprint is different — we build against your real data, test against your actual failure cases, and measure impact with your team's actual workflows. In 4 weeks, you have working proof: a system your team uses daily, with hard numbers on time saved, quality improved, and throughput increased. That's what gets leadership buy-in for scaling.

Best For

Teams with a clear workflow to automate and a sponsor ready to measure results. The fastest path from "AI could help" to "here are the numbers."

What You Get

Use-case specification with success criteria and integration points

Prompt, retrieval, and orchestration design optimized for your data

Working automation integrated with your existing tools and systems

QA testing against real scenarios including edge cases and failure modes

Measured results: hours saved, throughput change, quality metrics

Rollout recommendation with scaling plan

Our Process

Define the use case, success criteria, and integration points with your existing tools

Design prompts, retrieval approach, guardrails, and human approval steps

Build a production-shaped pilot against your real data and workflows

Test against real scenarios, edge cases, and known failure modes

Measure time savings, quality improvement, and throughput change over 1–2 weeks

Expected Outcomes

Working automation against real workflows — not a demo, a system your team uses

Hard metrics: hours saved per week, handling time reduction, throughput increase

Production-ready system with guardrails, fallbacks, and monitoring

Clear rollout plan with cost projections for broader adoption

Ready to Get Started?

Let's discuss how Pilot Implementation Sprint can help your team save time, reduce manual work, and improve quality.

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