Four-Week AI Strategy and Build Sprint

AI Fusion sprint is Publicis Sapient’s four-week AI strategy and build sprint. It identifies where AI can create the most value in your business, focuses on the top opportunity and proves it with a working agentic MVP. You leave with six deliverables, including a quantified value case and a roadmap to scale.

A proof of concept tests whether technology works. The sprint tests whether it’s worth investing in. It starts from a business process, redesigns it around people and AI agents and measures the value a working agentic MVP delivers. It also defines what production will require, so results don’t end at the demo.

Most AI consulting starts with months of discovery and ends with a strategy deck. AI Fusion sprint compresses that into four weeks, with a small pod of forward-deployed designers and builders working directly alongside your experts. You leave with a working agentic MVP built on your data, plus the value case and roadmap to scale it. You don’t need to be an existing Publicis Sapient client to start.

Six deliverables: a reimagined process, a working agentic MVP, a roadmap of agents, a quantified value case, minimal viable context and a pathway to operationalize. Together they give you the evidence to decide whether and how to scale. From there, we can move to deploying the solution in production and scaling it across the enterprise.

No. The MVP is a governed proof of value, built on your data and tested against your real process, but it isn’t a production implementation. The sprint shows what production will take, including the data, technology, governance and people changes needed to get there.

It’s a fixed fee, scoped to your use case and agreed before work begins. On your side, plan for an executive sponsor, a risk or compliance lead and process experts who can give four to eight hours during discovery and testing. Sessions include a one-hour kickoff, two-hour workshops in weeks one and two, a 30-minute weekly check-in and a results review in week four.

No. Assessing your data, systems and integrations is part of the sprint. To start, we need current process documentation such as workflow maps, policies and controls; a high-level view of the systems in scope; sanitized, non-sensitive sample data; and operational data on volumes and costs. Throughout the sprint, we build the context the MVP needs and identify what to address before scaling.

Governance is built in from day one. A risk or compliance lead reviews the governance framework from the start, and every MVP includes evaluation, guardrails and clear points where people review or approve AI decisions. Fallbacks are designed for when AI confidence drops.

Knowledge-heavy processes with a measurable cost or time baseline work best, especially where people spend time finding, checking or re-keying information across systems. Lending, claims handling, customer outreach and compliance checks are common examples. You’ll also need an executive sponsor and access to process experts.

Yes. We integrate with all major cloud providers, including Microsoft Azure, AWS and Google Cloud, and use our own proprietary platforms to accelerate the work.

Yes, as the first step. The sprint isn’t an enterprise-wide transformation itself, but it gives transformation programs the evidence and roadmap they need to move faster. It proves value on one process, maps wider opportunities and builds foundations to scale.

A tier 1 commercial bank cut process costs by 95 percent. A tier 1 health insurer saved $15,000 per avoided ER visit through proactive outreach. A tier 1 global insurer achieved 80 percent faster deployment architecture for compliant agentic solutions.