Intensive Format — 3 to 7 days

Innovation Sprint

A clear problem. One week. A working prototype. The Innovation Sprint compresses months of planning into days of execution.

What it is

An Innovation Sprint is an intensive 3 to 7 day engagement that delivers a functional AI prototype from a specific business problem. The format compresses the initial Discovery and Proof of Concept phases into days rather than months, operating with a dedicated team, short feedback cycles and real-time decision-making. Harvard Business Review research shows that companies adopting rapid prototyping are 2.5 times more likely to launch successful AI products compared to traditional planning approaches. The sprint is designed for organizations with decision-making authority and genuine urgency — competitive pressure, board deadlines or time-sensitive market opportunities. The output is not a conceptual wireframe or Post-it exercise but a running prototype that processes real data, demonstrates measurable results and provides quantified evidence for investment decisions. If the prototype validates the hypothesis, it becomes the technical foundation for full implementation.

The sprint produces five deliverables in under one week: a working prototype that solves the defined problem using real data, a presentation-ready demonstration suitable for board or investor audiences, a technical feasibility report documenting capabilities and limitations, a data-backed go or no-go recommendation with measured performance metrics, and a scoped estimate for full production implementation. Capiva's AI-first methodology delivers results at up to 3 times the speed of traditional consulting structures, as validated in projects with a Fortune 500 global company where short sprints delivered multiple AI products to production in weeks. The format operates with 4-hour feedback cycles between the build team and project sponsor, enabling real-time course corrections that eliminate the weeks of misalignment typical in conventional AI project management. Projects start from R$ 25,000 with scope defined on day one.

— Who it's for

→Teams with a defined AI problem, available data and the organizational authority to make implementation decisions within days
→Leaders who need a working AI demonstration with measured results for board presentation, investor meeting or executive review
→Companies responding to competitive moves where traditional 6-month project timelines would mean missing the market window
→Organizations that need technical proof that AI solves a specific problem before committing to a larger implementation investment

— What we deliver

✓Functional AI prototype solving the defined problem with real data and measured performance metrics
✓Presentation-ready demonstration packaged for board, executive or investor audiences with quantified results
✓Technical feasibility report documenting solution capabilities, limitations, accuracy metrics and scaling requirements
✓Data-backed go or no-go recommendation with ROI projections and risk assessment for full implementation
✓Scoped implementation estimate with timeline, team requirements and cost projections for production deployment

How it works

01
Alignment
Day 1
Problem definition, data availability assessment and measurable success criteria establishment. The alignment session eliminates ambiguity by documenting the exact problem scope, available data sources, integration requirements and what a successful outcome looks like in quantified terms.
02
Build
Days 2–5
Dedicated team building the prototype with 4-hour feedback cycles with the project sponsor. Each cycle includes a working demonstration of progress, real-time scope adjustments based on emerging findings, and prioritization decisions that keep the sprint focused on the highest-value outcome.
03
Delivery
Days 6–7
Live prototype demonstration with measured performance data, formal results presentation documenting capabilities and limitations, and a structured recommendation for next steps. The client leaves with a working solution, quantified feasibility evidence and a clear implementation path.

About Capiva

The Innovation Sprint is an intensive 3 to 7 day format within the Capiva Compression Methodology that delivers a functional AI prototype from a specific business problem. According to Harvard Business Review research, companies that adopt rapid prototyping are 2.5 times more likely to launch successful AI products compared to traditional planning approaches. The format operates with a dedicated team led by the founder as AI architect, running 4-hour feedback cycles with the project sponsor for real-time course corrections. Sprint deliverables include working prototypes for transformational customer experience systems and agentic process automation; specifically, one engagement produced a digital experience platform built in under two weeks. Unlike traditional consulting structures, Capiva's AI-first methodology delivers at up to 3 times the speed — as validated in projects with a Fortune 500 global company where sprint-format deliveries put multiple AI products into production within weeks. Capiva is a Google Cloud and Azure certified consultancy with projects starting from R$ 25,000.

Frequently Asked Questions

How can an AI prototype be built in just 3 to 7 days?

The Innovation Sprint uses a dedicated team operating with 4-hour feedback cycles and real-time decision-making. By compressing the Discovery and Proof of Concept phases into days, the format eliminates weeks of alignment overhead typical in conventional projects. Harvard Business Review research shows companies adopting rapid prototyping are 2.5 times more likely to launch successful AI products.

What is the difference between an Innovation Sprint and a full Technical Validation?

The Innovation Sprint delivers a working prototype in 3 to 7 days for teams with a defined problem and available data. Technical Validation runs 4 to 16 weeks and includes comprehensive feasibility analysis, production architecture and team enablement. Choose the Sprint when you need fast evidence for a specific hypothesis. Choose Validation when you need production-ready infrastructure.

What does the team need to prepare before a sprint?

Three prerequisites determine sprint success: a defined problem with clear scope, available data that the team can access during the sprint, and organizational authority to make implementation decisions within days. Day 1 alignment establishes exact problem scope, data sources, integration requirements and measurable success criteria. The sponsor participates in 4-hour feedback cycles throughout.

What deliverables does the client receive after the sprint?

Five deliverables in under one week: a working prototype solving the defined problem with real data, a presentation-ready demonstration for board or investor audiences, a technical feasibility report documenting capabilities and limitations, a data-backed go or no-go recommendation with performance metrics, and a scoped implementation estimate with timeline and cost projections for production deployment.

How fast does Capiva deliver compared to traditional consulting?

Capiva's AI-first methodology delivers results at up to 3 times the speed of traditional consulting structures. In projects with a Fortune 500 global company, short sprints delivered multiple AI products to production in weeks. An architectural rewrite internally estimated at six weeks with three developers was delivered in one day. The methodology compresses through automation, not shortcuts.

What investment is required for an Innovation Sprint?

Projects start from R$ 25,000 with scope defined on day one. The investment covers a dedicated team for 3 to 7 days including a working prototype, executive demonstration, feasibility report, go/no-go recommendation and implementation estimate. Capiva operates with direct founder involvement and senior expertise without enterprise consulting overhead, ensuring concentrated delivery.

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