1–3 weeks
Sprint duration
Fixed fee
No open-ended billing
One variant
For every scope size
Decision gate
Proceed, pivot, or stop
Pick your starting point
Light
Clear problem, simple setup, single decision group
Standard
Multiple options on the table, moderate complexity, aligned stakeholders
Plus
Complex discovery, cross-team alignment, strategic scale
Abstract decisions make delivery risky
95% of generative AI pilots deliver no measurable return, according to MIT's State of AI in Business 2025 report. The reason is rarely the technology. It is the absence of a validated direction that stakeholders have actually seen.
Most projects stall not because of budget, but because no one agrees on what to build until they've seen it. The more realistic the prototype, the more informed the decision.
The solution changes in every meeting, scope stays abstract
Validated direction, tangible prototype, agreed value hypothesis
Delivery estimates vary by 3x depending on who you ask
Implementation roadmap, high-level backlog, preliminary effort estimation, informed by technological context
Stakeholders won't approve budget until they see something concrete
Realistic prototype tested with stakeholders in a real business and technical context, alignment captured
How it works: a sprint, a prototype, a decision
Value Prototype Sprint is structured as five focused steps, delivered in one to three weeks. The output is not a clickable wireframe or a slide deck.
It's a tangible prototype built with production readiness in mind, including the value hypothesis, implementation roadmap, high-level backlog, preliminary effort estimation, and a recommended path into build. It is a result you keep, regardless of what comes next.
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Step 1
Kick-off and opportunity framing
Align on the business problem, constraints, and what a good outcome looks like.
Deliverable: agreed problem statement, success criteria and sprint boundaries
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Step 2
Business, user and process context
Capture the key user journey, business rules, stakeholder perspectives, available data, system context and relevant domain constraints.
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Step 3
Prototype or lightweight PoC
Build the clickable flow, interface, or functional demonstration that makes the direction tangible.
Deliverable: prototype or lightweight PoC
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Step 4
Stakeholder validation
Test the prototype with the people who need to approve the build decision. Capture feedback.
Deliverable: validation feedback, updated business case
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Step 5
Build scope and recommendation
Deliver assumptions, risks, value hypothesis, implementation roadmap, high-level backlog, and a recommendation on what should happen next.
Deliverable: full Sprint output package
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The team
2-3 specialists:
Covering engineering, business analysis, UX/product, delivery, and domain expertise where needed.
The right output for your role
The right output for your role
Not sure whether Value Prototype Sprint or Rapid Delivery Milestone is the right first step?
If the scope, requirements, and stakeholder alignment are already in place, you can start directly with Rapid Delivery Milestone. Value prototype Sprint is recommended, not mandatory.
Value Prototype Sprint
Start with Value Prototype Sprint if:
- You have a business problem but no validated scope
- Stakeholders need to see look and feel before approving budget
- You have an idea but no implementation roadmap
- You need a business case for internal approval
- You want to estimate effort and risks before committing
- You already have a backlog, but it needs fast validation before commitment
Rapid Delivery Milestone
Go directly to Rapid Delivery Milestone if:
- Requirements are defined and agreed
- A backlog or RFP already exists
- Stakeholder alignment is in place
- You are ready to start implementation
- You are confident in the business value of the idea
- You already have a working prototype built in-house
Future Processing: a strategic partner who takes accountability
Consulting-led, fixed-fee accountability
We do not bill for time. We agree on what we are building together: a defined outcome, a measurable milestone, or a capability you can use.
Every Sprint is priced as a fixed fee; we take the commercial risk on scope clarity, not you. Deliverables are defined, agreed upfront, and documented. The speed and tooling we bring stays in the value we deliver.
AI Delivery Engine
An agentic delivery framework built on AI-native SDLC practices, reusable quality gates, specification templates, and decision log standards. The Sprint benefits from this infrastructure; it does not create it.
Domain context from day one
We bring structured domain knowledge, covering business processes, workflows, regulatory context, and integration scenarios, available from the first day of the Sprint. Your engagement does not start from scratch.
You keep the outcome
Unlike a free proof of concept, which typically stays with the vendor or never leaves the demo stage, the prototype and everything it produces become yours. You keep the result regardless of what you decide to do next.
Delivery standards you can inspect
Our engineering practices, quality gates, agentic workflow patterns and delivery standards are documented and available for review before you commit. This is not a pitch deck; it is the framework that governs how we work on your engagement.
Discover the value we delivered
Streamlining the claims underwriting process with an MVP integrating disparate data sources into a single system
A strategic workshop that helped the client kickstart the high-tech business
Guiding our client from a problem to a tested solution in just 5 days
Scope and what's included
What's included
- Opportunity framing and business context capture
- Value hypothesis and initial success criteria
- Prototype, clickable flow, or lightweight PoC
- Implementation discovery and high-level backlog
- Implementation roadmap and preliminary effort estimation
- Domain context pack where relevant, business and technology knowledge from day one
- Initial delivery boundary definition
- Recommended MVP scope and next steps
Not in scope
Value Prototype Sprint is built to validate direction and reduce risk before you commit to a full build, not to deliver production software. The following are out of scope:
- Production-ready software
- Full enterprise architecture or compliance approval
- Full integration with live systems (unless explicitly agreed)
- Guaranteed ROI or guaranteed speed multiplier
- AI Delivery Engine IP (remains with Future Processing).
What the client needs to provide
- Business owner and decision-maker availability
- Subject matter expert access and stakeholder feedback capacity
- Available documentation or process context
- Agreement that this is validation, not production delivery
Decision gate after the Sprint
- Proceed to implementation when direction and scope are validated.
- Pivot if the opportunity is promising but not ready.
- Stop with value captured if the opportunity is not worth building.
Straight answers to the real objections
Can't the client just use AI to build this?
Yes, and many clients already have. That’s not a problem, it’s often a good starting point. What self-built prototypes usually lack is the judgment behind them: whether the solution is secure, whether it scales, and whether it’s actually heading toward something enterprise-grade.
Value Prototype Sprint adds that layer, backed by 25 years of delivering production systems: validation with business stakeholders, production-oriented thinking, implementation discovery, a high-level backlog, an implementation roadmap, preliminary effort estimation, and identification of delivery risks.
The value is not in generating screens. It is in helping the client make the right investment decision and preparing the shortest path to production, whether starting fresh or building on what’s already there.
Competitors offer discovery for free. Why should we pay?
You are buying confidence and acceleration, not documentation. You receive a validated direction, implementation roadmap, production thinking, estimated implementation effort, business case materials, and reduced delivery risk, along with clear recommendations and guidance on how to actually deliver the project.
Everything produced, the PoC code, the documentation, and the recommendations we stand behind, becomes yours. That is different from a free presales PoC, which is typically a demonstration of capability, not a concrete, accountable step toward a real solution.
Will we receive production-ready software?
No. The Sprint is designed to support a build decision, to make that decision as informed and low-risk as possible. Production delivery follows through Rapid Delivery Milestone.
Can we skip the Sprint and go straight to delivery?
Yes, if the scope, assumptions, stakeholders, and delivery boundary are already clear and agreed. Clients with defined requirements, a backlog, or an RFP can start directly with Rapid Delivery Milestone. If those elements are not in place, the Sprint reduces the risk that your delivery engagement starts with bad assumptions and ends in rework.
What happens after the Sprint ends?
You receive a decision gate: proceed to implementation (typically 6–8 weeks, fixed fee or hybrid), pivot the scope if promising but not ready, extend discovery, or stop with value captured.
How do you handle our data and IP?
Future Processing uses only approved AI tooling. Client data is not used to train public models. The AI Delivery Engine and reusable assets remain with Future Processing. The client receives the agreed Sprint deliverables. Any deviation from these defaults requires Legal and Security review before the SOW is signed.
What do we need to provide?
Access to a business owner and at least one subject matter expert. Available process documentation, screenshots, an RFP or PRD if it exists, and a decision-maker who can validate the prototype at the end of the Sprint. Because we move fast, we also need decisions to keep pace, quick turnaround on feedback and approvals so momentum isn’t lost.
Explore the thinking behind it
How to build an AI PoC (Proof of Concept) and why is it worth it?
How to build an AI PoC (Proof of Concept) and why is it worth it?
The Discovery Workshop: how to run and facilitate it?
The Discovery Workshop: how to run and facilitate it?
Project Discovery Phase: setting your project up for success
Project Discovery Phase: setting your project up for success
From unclear opportunity to tangible prototype
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