Turn AI into production-ready products.
AI products need more than models. They need the right workflows, APIs, integrations, payment infrastructure and operational controls to deliver real business value.
Complex products rarely fail because the idea is bad.
Startups often have strong technology, strong engineering teams, or strong market insight — but lack the product leadership needed to connect everything.
Prodaptix connects product strategy, technology and execution.
A senior product team, when you need one.
Applied AI & agentic workflows
AI-enabled products, agent workflows, tool integrations and practical automation use cases.
- AI product strategy and scoping
- Agentic workflows and tool integrations
- RAG and knowledge systems in production
- Practical automation use cases
- Evaluation, reliability and operating costs
APIs & platform architecture
API products, integration strategy, developer experience and scalable platform capabilities.
- API product strategy and lifecycle
- Integration strategy and partner ecosystems
- Developer experience and documentation
- Scalable platform capabilities
- Versioning, observability and operations
Payments & merchant infrastructure
Payment orchestration, merchant platforms, onboarding and multi-market payment ecosystems.
- Payment orchestration and PSP integrations
- Merchant platforms and onboarding
- Multi-market payment ecosystems
- Local payment methods and operations
- Settlement, reconciliation and reporting
Enterprise integrations
Connecting new products with existing systems, third-party services and operational workflows.
- Integration discovery with enterprise systems
- Third-party service connections
- Operational workflow automation
- Data flows and consistency
- Migration and rollout planning
Technical product leadership
Product strategy, MVP definition, prioritisation and delivery across engineering and business teams.
- Product strategy and MVP definition
- Prioritisation and roadmaps
- Delivery across engineering and business teams
- Discovery and customer validation
- Product operating model
Before you scale the product, make sure it is ready to scale.
Product
- Is the problem clearly defined?
- Is the product solving a real customer need?
- Is the roadmap focused?
Technology
- Is the architecture ready?
- Are integrations scalable?
- Are APIs structured correctly?
AI
- Are AI outputs reliable?
- Is evaluation defined?
- Are costs and latency understood?
Operations
- Can the product be supported?
- Are workflows documented?
- Are failure states understood?
Commercial
- Can the product actually be launched?
- Is onboarding clear?
- Are pricing and packaging viable?
Flexible by design. Senior by default.
Product Sprint
For companies that need clarity quickly.
Typical outcomesProduct diagnosis, product strategy, prioritised roadmap, architecture recommendations, execution plan.
Fractional Product Leadership
For startups that need experienced product leadership without a full-time hire.
Typical supportProduct strategy, roadmap, discovery, engineering alignment, customer requirements, delivery, founder/leadership support.
Embedded Product & Technology Team
For complex initiatives requiring deeper involvement.
ExamplesAI platform, payment platform, API ecosystem, enterprise SaaS, new product launch, market expansion, platform transformation.
Engagements start from $500. Every engagement is scoped after a discovery call.
Think clearly. Build deliberately. Learn quickly.
The process adapts to the situation. It is a way of thinking, not a rigid consulting methodology.
Understand
Customers, business model, technology, constraints and existing product.
Diagnose
Identify product, technical, operational and commercial bottlenecks.
Define
Clarify the product, architecture, roadmap and success metrics.
Build & Launch
Work directly with product, engineering and stakeholders.
Measure & Improve
Use real customer and product data to improve the system.
AI in production is a platform problem.
Payments, APIs and merchant platforms demand reliability, compliance and scale. That is the standard we bring to AI products.
Proven on systems that cannot fail.
Payments, API and merchant platform work that shapes how we take AI products to production. Anonymised to respect client confidentiality.
Built from the intersection of product, engineering and business.
Janahan brings 12+ years across software engineering, product management, and technical product leadership, working across payments, platforms, APIs, mobile products, AI-enabled systems, and enterprise technology.
He has led payment and platform products from 0 to $1B+ GMV, managed 10+ direct reports across 10+ markets, and shipped production AI systems. He brings the rare combination of engineering depth, product strategy, and commercial execution.
His experience spans hands-on engineering through senior product leadership, giving Prodaptix a practical perspective across the entire product lifecycle — from problem definition and architecture through delivery, launch and scale.
Built for teams at the point where complexity starts to compound.
Early-stage startups
You have the idea, technology or early traction — but need experienced product leadership.
Scaling startups
Your product is growing faster than your processes, platform or integrations.
Established technology teams
You need specialist product leadership for a complex initiative without creating a permanent team.
Typical stakeholders: Founder / CEO · CTO · CPO · VP Product · Head of Engineering · Product Director
Why Prodaptix?
Product + Technology
We understand both the product decision and the technology behind it.
Senior by default
You work directly with experienced product leadership, not a junior delivery layer.
Commercially aware
We connect technology decisions to customers, revenue, operations and growth.
Hands-on
We don't stop at recommendations. We can work with your team through execution.
Not another software agency.
Not another strategy deck.
A senior product and technology team that helps you move from complexity to execution.
Is your AI product ready for production?
The Product Readiness Checklist: 15 questions across product, technology, AI, operations and commercial readiness.
- Spot gaps before you scale
- Align product, engineering and leadership
- Free PDF, two-minute read
How to start.
Book a 30-minute call
Tell us what you're building and where you're stuck.
Receive a short proposal
We outline scope, timeline, and cost.
Start a Product Sprint
Usually 2–4 weeks, fixed fee, clear outcomes.
Decide next steps
Continue with Fractional Leadership, Embedded Team, or take the output and run.
Have a complex product problem?
Tell us what you're building, where you're stuck, and what you need to achieve. We'll help you work out what comes next.