De-risk Generative AI — from use case to a working proof of concept in 4 weeks.
A structured 1-week readiness assessment followed by a 3-week Proof of Concept on a no-code/low-code Enterprise AI Platform. You leave with a scored ROI, a feasibility report, and a working PoC your leadership can see.
- 1 week — Rapid readiness assessment
- Phase 1 — Rapid Readiness (1 week)
- Phase 2 — Proof of Concept (3 weeks)
- Executive readout & roadmap
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- AWS Bedrock
- Microsoft Azure AI
- Google Vertex AI
- OpenAI Enterprise
- Anthropic Claude
- Kore.ai
A working pilot in 90 days — not a 40-page slide deck.
Initial consultation, data and technology review, and a scored readiness evaluation across strategy, data, platform, talent, governance and FinOps.
Use-case prioritization workshop, feasibility study, solution design, and a working PoC built on a no-code/low-code Enterprise AI Platform — tested and validated.
Board-ready PoC demo, ROI estimation, risk analysis, and a step-by-step Generative AI strategy roadmap for full-scale rollout.
“The assessment gave us the confidence to fund the program — and the PoC gave our board something they could actually see working in four weeks.”
Questions buyers ask us first.
- What do we get at the end of 4 weeks?
- Four deliverables: an Executive Assessment Report, a High-Level PoC Design, a PoC Feasibility Report with ROI, and a Generative AI Strategy Roadmap — plus a working PoC demo built on a no-code/low-code Enterprise AI Platform.
- Which platforms do you build the PoC on?
- We're platform-neutral. PoCs are typically built on AWS Bedrock, Microsoft Azure AI, Google Vertex AI, Anthropic Claude or OpenAI Enterprise — orchestrated on a no-code/low-code Enterprise AI Platform layer for speed and governance.
- Who is this for?
- CIOs, Chief AI Officers, CDOs, CTOs and business-unit leaders who need to prove Generative AI viability before committing to a production program.
- How is this different from your AI Readiness Score?
- The AI Readiness Score is a self-serve 8-minute benchmark. This is a live, consultant-led 4-week engagement that produces a working PoC — not just a scored report.
- What happens after the PoC?
- You own the deliverables. If you decide to scale, we can staff a production pod (agentic AI engineers, MLOps, governance) to move from PoC to production in 90 days.
- Is pricing fixed?
- Pricing is scoped to the complexity of the use case, data readiness and target platform. We provide a fixed-price quote after the initial consultation.
Ready to see it in your stack?
30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.
Book an assessment strategy session →