A proven 7-step process to make your business AI-native. Not another strategy deck - a repeatable framework that delivers working AI solutions every month.
Each step is designed for speed without sacrificing enterprise-grade quality
Choose an AI Solution from our library or let our POD work with your CXOs to identify and refine a high-impact use case.
Our Product Manager aligns with business, compliance, and tech stakeholders to create a clear, actionable functional spec with success metrics.
AI Engineers in collaboration with your team gather required data, use ready-to-use AI workflows or build a new one, and test the solution end-to-end.
AI Governance Engineers partner with your CISO team to validate safety, compliance, guardrails, access controls, and prepare complete AI solution for UAT.
Deployment Specialists help you integrate the solution with your systems, monitor performance, ensure uptime, and keep the lights on.
Track value delivered, monitor KPIs, tune models, and refine workflows for better accuracy, adoption, and performance.
Repeat the process for the next function. Each cycle gets faster as your intelligence mesh matures and reusable components accelerate rollout.
Built from hundreds of enterprise AI implementations
4 weeks forces focus. No scope creep, no endless discovery phases. You get a working solution or clear learnings - never just a report.
Security and compliance aren't afterthoughts. Every cycle includes governance review, so you never have to choose between speed and safety.
Each cycle adds to your intelligence mesh. Reusable components, trained models, and institutional knowledge make every subsequent project faster.
Your team learns alongside ours. By cycle 3-4, you can run much of the playbook internally. We build capability, not dependency.
A typical sprint timeline from kickoff to production
Stakeholder interviews, requirements documentation, data assessment, and technical architecture. Ends with approved spec and success metrics.
Core development sprint. Data pipeline setup, model development or customization, API integration. Daily standups and demos.
Security review, compliance validation, guardrail implementation, access controls. UAT with business users and CISO sign-off.
Production deployment, monitoring setup, documentation handoff, training sessions. Go-live with full support.
Common questions about our AI transformation playbook
Each cycle of the playbook delivers a production-ready AI use case in 4 weeks. This includes discovery, development, governance review, and deployment. Complex solutions requiring multiple integrations may span 2-3 cycles.
Traditional consulting delivers strategy documents over 3-6 months. This playbook delivers working AI solutions in production every 4 weeks. It's designed for iteration, not analysis paralysis, with built-in governance and continuous improvement.
Yes, the playbook is designed to be repeatable. Each cycle gets faster as your intelligence mesh matures - reusable components, trained models, and POD expertise accelerate subsequent rollouts. Many clients run 3-4 use cases in their first quarter.
The playbook includes weekly checkpoints with stakeholders. Minor scope adjustments are handled within the cycle. Major pivots are planned for the next 4-week cycle to maintain delivery velocity and quality.
Data readiness is assessed in Week 1. If significant data work is needed, we may dedicate cycle 1 to data preparation and pipeline setup, with the AI solution delivered in cycle 2. We're transparent about timelines based on your actual state.
Book a strategy call to identify your first AI use case and see how the playbook can transform your operations in just 4 weeks.
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