AI
service offering
Agentic commerce
From e-commerce to a-commerce
AI agents are changing how products are discovered, evaluated, and purchased.
Agentic commerce helps organizations prepare their products, infrastructure, and channels for AI-mediated buying journeys.
Customers increasingly rely on AI systems to search, compare, and recommend products. In some cases, transactions happen directly through agents. This changes how commerce works.
Brands no longer control the entry point to the buying journey. Discovery happens inside AI systems, recommendations shape decisions before customers reach your product pages, and transactions may be executed by agents.
This shift affects every stage of the buying journey:
Discovery
AI influences visibility and share of voice as product discovery moves into AI interfaces
Consideration
Products are evaluated inside agent interactions, where recommendations shape decisions
Conversion
Transactions become agent-assisted or agent-executed, making APIs and infrastructure critical
From navigation to delegated commerce
Commerce is shifting from navigation to delegation.
Customers no longer browse products themselves. They rely on AI agents to search, evaluate options, and recommend what to buy.
This creates structural change:
Brand-controlled journeys → AI-mediated journeys
Navigation → delegated product discovery
Channel ownership → channel orchestration
How you prepare for agent-mediated commerce
Agentic commerce creates clarity on how AI agents affect your commerce model and where to act.
This clarity is grounded in how AI systems influence real commercial performance and business impact.
Organizations track how AI systems influence visibility, discovery, traffic, conversion, product engagement, and ultimately revenue across AI-mediated channels.
Strategic exposure view
Understand how AI-mediated journeys affect discovery, evaluation, and purchasing
Agentic channel position
Define your position across AI-driven channels influencing product discovery
Execution roadmap
A three-horizon roadmap covering near-term actions, capability building, and long-term positioning
Validated product direction
Prototypes and use cases that define the path toward scalable implementation
From visibility to validated execution
Agentic commerce is delivered as a structured progression from understanding exposure to validating real product opportunities.
This staged approach moves teams from strategic visibility to product experimentation without committing to long transformation programs.
- 01 Agentic assessment
- 02 Define where to act
- 03 Agentic activation
Agentic assessment
(2–4 weeks)
Assess how AI affects discovery, evaluation, and purchasing across your commerce ecosystem
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Map exposure across the value chain
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Identify risks and opportunities
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Evaluate channel and platform implications
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Surface technical gaps and dependencies
Outcome: Clear visibility and a decision-ready roadmap
Who needs agentic commerce
Retail and e-commerce leaders responsible for performance and future channels
B2B organizations with complex digital buying journeys
CMOs, CDOs, and digital leaders shaping customer and platform strategy
Businesses dependent on digital discovery and comparison
Built on real product experience
Framna designs and builds digital products used by millions, working across the full product lifecycle from strategy to continuous improvement.
This experience shapes how we approach agentic commerce.
We do not explore AI in isolation. We apply it inside real products, platforms, and customer journeys where performance, reliability, and scale matter.
Deep product expertise across strategy, design, and engineering
Hands-on experimentation with AI-mediated product experiences
Integrated teams working across the full product lifecycle
Proven delivery in large-scale and regulated environments
Start with visibility into your commerce exposure
Start with a focused conversation about how AI-mediated commerce is affecting your customer journeys.
We assess your exposure, identify risks and opportunities, and define where to act.
If there is a clear fit, we move into Agentic Assessment to map strategic priorities and create decision clarity. From there, you can move directly into activation and product experimentation.
FAQ
What is agentic commerce?
Agentic commerce describes buying journeys mediated by AI agents. Instead of navigating digital interfaces themselves, customers ask AI systems to search, compare products, and recommend purchases.
How does agentic commerce affect digital businesses?
AI agents increasingly influence product discovery and evaluation. This shifts visibility upstream in the buying journey and changes how products must be structured, exposed, and discovered.
Is this relevant for B2B commerce?
Yes. Many B2B purchasing journeys already involve digital comparison and research. AI systems increasingly assist with evaluating options, gathering product information, and recommending vendors.
What does the activation phase deliver?
Activation focuses on building and validating agentic product experiences. This includes prototypes, technical validation, and defining the path toward real implementation.
Do organizations need new infrastructure for agentic commerce?
Often the focus is improving existing infrastructure. APIs, product data structures, and platform integrations may need adjustments so AI systems can access and interpret product information.
Ready to get started?
