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AI
Service offering

Agentic Commerce

From e-commerce to a-commerce

AI agents are changing how products are discovered, evaluated, and purchased.

 

Customers increasingly rely on AI systems to search, compare, and recommend products. In some cases, transactions may happen directly through agents.

 

Agentic Commerce helps organizations prepare their products, infrastructure, and channels for AI-mediated buying journeys.

AI agents are reshaping the buying journey

Brands no longer control the entry point to the buying journey.

 

Discovery increasingly happens inside AI systems. Recommendations influence decisions before customers reach your product pages. In some cases, transactions may be executed directly by AI agents.

 

This changes how digital commerce works.

Discovery

  • AI influences brand visibility and share of voice

  • Product discovery increasingly happens inside AI interfaces

Consideration

  • Products are evaluated inside agent conversations

  • AI recommendations influence purchase decisions

Conversion

  • Transactions become agent-assisted or agent-executed

  • APIs and infrastructure become strategic assets

If products are not visible or accessible to AI systems, organizations lose influence earlier in the buying journey.
Who Agentic Commerce is for

Agentic Commerce is built for organizations where digital discovery and purchasing are central to growth.

 

If products are discovered through search, comparison, or digital channels, AI agents will increasingly influence the buying journey.

Retail and e-commerce leaders

Responsible for digital commerce performance and preparing for new discovery and purchase channels.

B2B organizations with complex buying journeys

Companies where product discovery, comparison, and purchasing already happen digitally.

CMOs, CDOs, and heads of digital

Leaders responsible for future-proofing customer journeys, platforms, and channel strategy.

Businesses dependent on digital discovery

Organizations where search, comparison, or digital purchasing drive revenue.

From navigation to delegated commerce

Commerce is moving from navigation to delegation.

 

Customers no longer browse products themselves. They ask AI agents to search, evaluate options, and recommend products.

 

This creates structural shifts:

Brand-controlled journeys → AI-mediated journeys

Navigation → delegated product discovery

Channel ownership → channel orchestration

Success depends less on storefront optimization and more on how products, data, and systems interact with AI agents.
How Agentic Commerce works

Agentic Commerce helps organizations prepare their commerce strategy and product infrastructure for AI-mediated buying journeys.

 

The program combines strategic clarity with product experimentation. First, we assess exposure to AI-driven customer journeys. Then we translate insights into prototypes and execution roadmaps.

 

The goal is clarity first. Then action.

 

Agentic Assessment (2-4 weeks)

A focused process for leaders who need decision visibility.

We:

  • Assess exposure to AI-driven customer journeys

  • Map opportunities across the value chain

  • Evaluate channel strategy implications

  • Identify technical gaps and dependencies

You leave with:

  • Business risk exposure assessment

  • Channel opportunity mapping

  • A three-horizon roadmap (0–90 days, 3–9 months, long-term)

  • Decision-ready leadership presentation

  • Optional high-fidelity design of prioritized use cases

Agentic Activation (4 weeks)
Activation turns insights into real product outcomes.

 

We select one or two high-impact initiatives and prototype agentic experiences that validate the business case and define the path toward scaling.

What you will have

Agentic Commerce creates clarity on how AI agents affect your commerce model and where to act.

Strategic exposure view

Clear understanding of how AI-mediated buying journeys affect discovery, evaluation, and purchasing across your commerce ecosystem.

Agentic channel position

Defined positioning across emerging AI-driven channels and platforms that influence product discovery and recommendations.

Execution roadmap

A three-horizon roadmap covering near-term actions, capability building, and long-term strategic positioning.

Validated product direction

Prototypes and validated use cases that establish the path toward scalable implementation.

How we work

From assessment to activation.

  • 01 Exposure assessment
  • 02 Opportunity definition
  • 03 Agentic activation
Exposure assessment

Understand where AI agents affect your commerce model.

  • Evaluate exposure to AI-driven discovery and purchasing
  • Map opportunities across the value chain
  • Review channel strategy implications
  • Identify technical gaps and dependencies
Measuring impact in AI-mediated commerce
Organizations preparing for agentic commerce increasingly measure:

AI surface visibility

Share of agent-driven discovery

Traffic originating from AI agents

Conversion from AI conversations

Product engagement and cart-add behavior

Revenue from AI-mediated channels

Proof through products

Framna designs and builds digital products used by millions.

 

Our teams work across the full product lifecycle, helping partners design, build, launch, and continuously improve category-leading digital products.

 

Agentic Commerce builds on this product expertise to prepare products and platforms for AI-mediated interactions.

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A structured path from insight to execution

Agentic Commerce is delivered as a structured program.

 

The first phase, Agentic Assessment, typically runs for two to four weeks and creates decision clarity for leadership. Organizations can then move into Agentic Activation, a four-week phase focused on prototyping and validating priority initiatives.

 

This staged approach moves teams from strategic visibility to product experimentation without committing to long transformation programs.

Why Framna

A digital product partner for AI-enabled commerce.

 

Framna designs and builds digital products that define markets and deliver measurable outcomes.

Product expertise

Deep experience designing and building digital products that drive adoption, engagement, and measurable business impact.

Agentic experimentation

Hands-on exploration of emerging interaction models and AI-mediated product experiences.

Integrated product teams

Strategy, design, and engineering working together across the product lifecycle.

Complex environments

Proven delivery in large-scale and regulated digital product ecosystems.

What happens next

The engagement begins with a conversation about your exposure to AI-mediated commerce.

 

If there is a clear fit, we begin with Agentic Assessment to map risks, opportunities, and strategic priorities.

 

From there, organizations can move directly into activation and product experimentation.

FAQ

Ready to get started?

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