Prototype triage
Assess pilots, copilots, automations, and internal agents against data access, ownership, failure modes, adoption, and business value.
AI productization consultancy
Turn AI experiments into measurable business products.
A 30-day sprint that audits current AI activity, finds the workflows worth redesigning, and produces one buildable AI product blueprint.
Evidence first. AI second.
Our approach
A decision system for AI productization.
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1
AI activity map
Audit what is happening across the business.
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2
Workflow opportunity map
Find the workflows worth redesigning.
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3
Prototype autopsy
Assess what worked, what did not, and why.
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4
ROI model
Quantify value, cost, feasibility, and risk.
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5
Implementation blueprint
Define build scope, team, controls, and operating model.
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6
Decision pack
Choose to productize, build, partner, pause, or kill.
Why Whiteboxx.ai
The output is a decision system, not a report.
Whiteboxx helps organizations move beyond scattered pilots to focus, fund, and build the AI products that create real business value.
- Work before tools.
- Evidence over enthusiasm.
- Minimum viable access.
- ROI before build.
- Human adoption as product quality.
Use cases
Where AI activity becomes accountable work.
Workflow redesign
Shadow real handoffs, reviews, exceptions, incentives, and decision rights before turning AI into a production workflow.
AI product blueprint
Define the first buildable product scope: users, jobs, data path, eval set, human-in-loop controls, milestones, and ROI gate.
Evidence-backed agents
Design agents that cite, compare, follow constraints, and refuse unsupported claims rather than guessing from a prompt.
Executive build decision
Give leadership a clear build, buy, partner, pause, or kill decision with the evidence and operating model behind it.
Scale path
Move from one validated workflow to adjacent workflows without losing accountability, controls, or measurable adoption.
Verticals
Built for high-trust teams with messy operating context.
Consumer, retail, and restaurants
Customer, market, location, pricing, merchandising, and loyalty decisions where evidence needs to connect behavior, wallet, place, and operations.
Healthcare and life sciences
Workflow support, patient or provider research, market access, and evidence synthesis with explicit claim boundaries and privacy-aware data paths.
Financial services and insurance
Risk, service, research, claims, and advisor workflows where unsupported inference, auditability, and human acceptance matter from day one.
B2B services and transformation
Knowledge work redesign, customer success, sales intelligence, research operations, and internal copilots that need measurable workflow adoption.
Media, technology, and platforms
Audience, content, creator, product, and monetization workflows where live signals must be translated into decision-grade operating context.
Evidence system
The platform stays backstage. The evidence comes forward.
Lineage
Where a claim came from, which source produced it, and what slice it represents.
Readiness
Whether the workflow has the data, owner, controls, and adoption path to ship.
Boundaries
What the system must not infer when the evidence cannot support the claim.
Next step
Bring three AI prototypes and three painful workflows.
In 30 days, Whiteboxx will show what to kill, what to productize, and what to build first.
Contact Whiteboxx AIPricing is scoped by engagement. No SaaS tiers. No seat packaging.
Contact
Tell us what needs to become real.
Share the AI activity already in motion and the business decision leadership needs to make. The first reply goes directly to Whiteboxx AI.