Direct enterprise sale
Sell directly where the buyer expects custom security review, legal negotiation, deployment support or integration work.
Choose between direct enterprise sales, marketplace distribution, private offers, partner channels and licensing while keeping IP ownership, security, model dependencies and procurement requirements aligned.
Sell directly where the buyer expects custom security review, legal negotiation, deployment support or integration work.
Use an enterprise marketplace where buyers already procure software and where the agent qualifies for publication.
Negotiate customer-specific pricing or terms through an eligible marketplace or direct commercial contract.
Use a reseller, platform partner or co-sell route where another company contributes procurement access or sales reach.
Grant another company rights to deploy, embed, rebrand or commercialize the technology within an agreed scope.
Transfer the technology, IP or business where the objective is a strategic exit rather than ongoing product operation.
| Route | Best fit | Procurement friction | Reach | Pricing flexibility | Seller control |
|---|---|---|---|---|---|
| Direct enterprise | Complex or regulated deployment | Higher | Focused | Very high | High |
| Marketplace | Repeatable product in established ecosystem | Lower to medium | Potentially broad | Platform dependent | High |
| Private offer | Large account needing negotiated economics | Medium | Account specific | High | High |
| Channel / co-sell | Partner-led procurement or market access | Medium | Broad through partner | Shared / negotiated | Medium |
| License / white label | Partner will deploy or commercialize | Higher upfront | Partner driven | High | Depends on scope |
Enterprise sales become easier when the seller can present a coherent evidence package instead of answering ownership, security and deployment questions ad hoc. The seller should be able to explain what the agent does, how it is deployed, which third-party technologies it depends on, which rights the seller controls, and how the product is priced and supported.
| Area | Questions to answer before sale |
|---|---|
| Technical | Is the product stable, deployable, documented and supportable? |
| IP | Is code ownership clear? Are model, data, API and open-source rights documented? |
| Security | Are identity, permissions, tool access, logs and approval controls documented? |
| Commercial | Are pricing, support, service levels and contract boundaries defined? |
| Distribution | Does the product satisfy the chosen marketplace or channel requirements? |
Direct contracting can be useful where the customer expects extensive diligence, customer-specific integrations, negotiated liability terms, dedicated deployment or significant support. The seller maintains more control over the commercial negotiation, but the sales process can be slower because procurement, security, legal and technical teams may all participate.
Major enterprise technology platforms now provide dedicated routes for AI-agent products. Google Cloud supports AI-agent publication through Marketplace, Microsoft distinguishes Azure and Microsoft 365 agent pathways, AWS maintains an AI Agents & Tools category, Salesforce operates AgentExchange, and ServiceNow supports partner-built agents through its Store and Build Program.
Google Cloud: Google allows partners to offer AI agents through Cloud Marketplace and supports multiple agent product models. Google Cloud AI-agent publishing documentation.
Microsoft: Microsoft states that publishers can list AI applications and agents in Marketplace and reach customers across 141+ markets, including distribution through Microsoft product and partner channels. Microsoft AI app and agent publishing guidance.
AWS: AWS maintains a dedicated AI Agents & Tools Marketplace category supporting agents, tools and products with MCP or A2A compatibility. AWS AI Agents & Tools Marketplace announcement.
A technically strong agent can still face a difficult sales cycle if the buyer has no approved procurement path for the seller. Enterprises often prefer software to be purchased through approved vendors, cloud marketplaces, existing reseller relationships or strategic partners. Channel selection should therefore be based on buyer behavior, not only on the seller's preferred route.
Google provides a dedicated AI-agent pathway and supports AI Agent as a Service products, including A2A-based agents. Sellers can use structured marketplace pricing and, where eligible, customer-specific private offers. This route is particularly relevant where the customer already operates within Google Cloud procurement.
Compare the current AI-agent commercialization pages →
Microsoft separates Azure agents from Microsoft 365 agents and provides publication paths that can extend distribution through its enterprise software ecosystem and partner network. The choice between Azure and Microsoft 365 matters because the agent's deployment, audience and commercial packaging can differ.
Compare the current AI-agent commercialization pages →
AWS supports AI agents and tools through its Marketplace and highlights products that use MCP or A2A. The marketplace can be relevant for sellers whose customers already procure through AWS and for products designed to deploy through AWS infrastructure such as AgentCore-compatible pathways.
Compare the current AI-agent commercialization pages →
Salesforce's AgentExchange provides a marketplace environment for agents, applications and tools within the Salesforce and Agentforce ecosystem. Current materials highlight AI-powered discovery, private offers, transaction automation and MCP/A2A connectivity.
Salesforce: AgentExchange combines AI agents, apps and tools with marketplace discovery and enterprise transaction features. Salesforce AgentExchange overview.
ServiceNow's 2026 Build Program is expressly designed to help partners build, test, certify, distribute and monetize products including AI agents through the ServiceNow ecosystem. This makes certification and partner status part of the commercial route, not merely a technical publication step.
ServiceNow: ServiceNow Build Partner Program.
A public listing does not always fit a large enterprise. Private offers can allow sellers to negotiate account-specific commercial terms while using an established marketplace procurement route. The specific capabilities vary by platform and should be checked before contracting. Google, Microsoft, AWS and Salesforce each maintain private-offer mechanisms in current marketplace structures.
Where the seller lacks direct access to large buyers, a reseller, systems integrator, strategic platform partner or co-sell program can provide distribution. This can be especially useful where the buyer prefers to purchase from an existing supplier. The seller should still understand margin sharing, customer ownership, support obligations, lead registration and whether the partner can negotiate downstream rights.
A seller may choose to license the underlying technology when another company has stronger distribution, industry access or implementation capability. Licensing can preserve ownership while granting another party defined rights to use or commercialize the technology. White-label and OEM structures can extend reach further, but require careful treatment of sublicensing, branding, support and third-party model or data dependencies.
A buyer may ask who owns the code, whether contractors assigned rights, what foundation model is used, whether third-party APIs can support the proposed use, how data is handled, what open-source components are included, and whether any patents or pending applications cover important technical features. A seller that cannot answer these questions can create delay even when the product performs well.
Agents can take actions on enterprise systems, which makes identity, authorization, tool access, logging and approval controls commercially important. Where the agent can send messages, modify records, call external tools or trigger workflows, the buyer may require evidence showing which actions are possible, who can authorize them, how permissions are constrained and how actions can be audited.
Seller eligibility, supported buyer geography, taxes, data-location requirements, marketplace billing rules and contract enforceability can vary by platform and country. These issues should be verified for the actual seller and customer rather than assumed from a global marketplace label.
Possible routes include direct enterprise contracts, Google Cloud Marketplace, Microsoft Marketplace, AWS Marketplace, Salesforce AgentExchange, ServiceNow Store, partner channels, resellers and technology licensing, subject to the current requirements of each route.
Potentially, but the seller should verify the model provider's commercial terms and confirm that the proposed customer rights do not exceed the seller's rights in the underlying model, APIs, data or other dependencies.
Not necessarily, but potentially patentable technical inventions should be assessed before public disclosure because demonstrations, listings or technical sales materials can affect filing options in some jurisdictions.
There is no universal best marketplace. The strongest fit depends on where customers already procure, where the agent runs, whether usage billing or private offers are needed, and whether the seller benefits from a particular cloud or enterprise-software ecosystem.
Requests vary, but common categories include security information, data handling, architecture, IP ownership, third-party dependencies, support, pricing, service levels and contract terms.
Explore how the commercial decision connects with ownership, licensing, patent rights, and the cross-border protection of AI-agent technology.
Email: rd (at) patentbusinesslawyer (dot) com