AI Solution Design Sprint

From AI Concepts to Implementation Blueprint

You’ve identified a promising AI use case — now what? The gap between, “This could work,” and “Here’s exactly how to build it” is where most AI initiatives stall. The AI landscape is full of huge promises, new technologies and evolving architectures. Our AI Solution Design Sprint provides clarity and transforms strategic opportunities into detailed implementation blueprints in just 2-3 weeks.

No theoretical frameworks or generic recommendations. During an AI Solution Design Sprint, we’ll collaborate with your team using design thinking and human-centered design to connect and empower your end users.

We deliver technical architecture, tool selection, cost estimates, and implementation roadmaps specific to your use case and environment to delivery a human-focused AI solution.

What to Expect: Our Design Sprint Methodology

Solution Sprint Phases
Outputs & Details

Business Process Analysis

Map current workflows, identify integration points and capture user experience requirements to pinpoint where AI can deliver meaningful business value.

Technical Environment Assessment

Evaluate your existing data architecture, security posture and platform capabilities to ensure a strong foundation for your AI solution.

Success Criteria Definition

Establish clear, measurable performance indicators, adoption goals and business impact metrics to guide solution validation and success.

AI Platform Evaluation & Design

Provide an unbiased review of relevant AI tools and platforms, with cost-benefit analysis and a tailored solution architecture aligned to your environment and objectives.

Prototyping & Validation

Develop a functional prototype that demonstrates core AI capabilities and user experience concepts, gathering feedback from key stakeholders for rapid iteration.

Solution Blueprint

Deliver a comprehensive, phase-by-phase implementation plan including cost analysis, risk assessment and actionable next steps — moving you from concept to deployment.

AI Solution Design Sprint: Core Deliverables

Solution Architecture Blueprint


Comprehensive technical document detailing system design, data flows, security protocols, and integration requirements to guide development and ensure alignment with enterprise standards.

Implementation Roadmap


Phased execution plan outlining key milestones, resource allocation, and timeline estimates to deliver the AI solution efficiently and predictably.

Technology Selection Report

Objective evaluation of AI platforms and tools, featuring cost-benefit analysis and vendor-neutral recommendations tailored to your environment and goals.

Business Case Summary

Concise, executive-ready analysis presenting ROI projections, investment needs, and risk assessments to support informed decision-making and funding/implementation approval.

Functional Prototype

Working demonstration of core AI capabilities and user experience concepts for stakeholder validation and feedback.

Delivery Options Analysis

Detailed comparison of SaaS-hosted versus on-premises implementation models, highlighting advantages and trade-offs specific to your organizational context.

Transform AI opportunities into working prototypes with expert guidance

Design, prototype and validate solutions that work
with an AI Solution Design Sprint with InterWorks.

We work across a wide range of industries. Our approach is always tailored to your unique business goals and challenges, regardless of sector.

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Interworks GmbH
Ratinger Straße 9
40213 Düsseldorf
Germany
Geschäftsführer: Mel Stephenson

Kontaktaufnahme: markus@interworks.eu
Telefon: +49 (0)211 5408 5301

Amtsgericht Düsseldorf HRB 79752
UstldNr: DE 313 353 072

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