AI Changes What Software Companies Must Own—and What They Must Orchestrate through Partners

Why ecosystem design is becoming a board-level decision about control, economics, and adaptability

Point of View | July 2026

banimo.partners

THE OPENING ARGUMENT

AI is not replacing product strategy with distribution strategy. It is changing where durable advantage resides.

As models and development tools make some software features, content, analysis, and automation faster and less expensive to produce, other assets become relatively more valuable: proprietary data, authority within a critical workflow, customer trust, implementation capacity, access to decision-makers and budgets, influence over standards, and the ability to deliver a reliable outcome. Few software companies control all of these assets themselves.

This changes the strategic role of an ecosystem. Partnerships provide incremental value beyond additional routes to revenue. They are one way for a company to assemble capabilities and market access that would be slower, more expensive, and less credible to build independently.

The board-level questions are therefore not whether the company should have more partners or drive a higher percentage of revenue through the channel. It is more precise:

• Which assets must the company own?
• Which capabilities can it orchestrate through others?
• Where must it retain control even when it does not own the capability?
• Where could ecosystem dependence weaken its economics or strategic position?

The strategic objective is not to maximize partner contribution. It is to maximize enterprise value created through assets the company does not need to own—while preserving control of the customer relationship, data rights, economics, and long-term strategic position.

1. AI Changes the Scarcity Structure of Software

AI does not affect every software product or workflow in the same way. Some products become more valuable because AI expands their utility. Some workflows face price compression. Some create entirely new demand. Others become vulnerable to substitution.

Bain & Company describes four possible workflow-level outcomes: AI can strengthen an incumbent position, open new growth pools, compress spending, or cannibalize an existing application. The relevant unit of analysis is therefore the workflow—not the software category as a whole.

That matters because the oft repeated claim that “distribution is the new moat” is incomplete. Product quality, workflow depth, data, trust, security, switching costs, standards, and distribution can all contribute to defensibility. The mix differs by category and by customer problem.

AI does, however, make certain capabilities easier to reproduce. As that happens, durable value shifts toward assets that remain scarce:

• Proprietary data and the permission to use it.
• A system-of-record or system-of-action position in a critical workflow.
• Trust, compliance, security, and operational accountability.
• Domain expertise and the ability to implement change inside a customer organization.
• Access to buying communities, decision-makers, procurement vehicles, and committed budgets.
• Influence over the standards and interfaces through which software and agents interact.

An ecosystem can provide access to these assets. But it can also place them under someone else’s control.

2. Partner Participation Is Large—but Participation Is Not the Same as Advantage

Omdia forecasts that partners will deliver 66.7% of the total addressable IT market in 2026. That is a broad technology-market measure rather than a B2B-software-only statistic, and the share is declining as direct hyperscaler infrastructure spending grows. Even so, it demonstrates how much technology value continues to be created and delivered through external companies.

Omdia also reports that customers work with an average of 6.3 partners and that partners commonly operate across at least three business models, such as resale, managed services, and professional services. The economic role of partners is becoming more varied, not more uniform.

This leads to an important distinction: Partner revenue contribution is not, by itself, a measure of ecosystem strength.

A reseller processing a transaction is economically different from a systems integrator that improves implementation success. A technology partner that makes a product essential to a workflow creates a different advantage from a referral partner that supplies occasional leads. A cloud marketplace may reduce procurement friction without changing customer preference. A strategic alliance may create credibility while adding little measurable revenue. 

A board should therefore look beyond the percentage of revenue attributed to partners. The better questions are whether partner participation is incremental, whether it changes customer outcomes, and whether it strengthens or weakens the company’s control of its economics and market position.

3. The Own–Orchestrate–Control Framework

A deliberate ecosystem strategy requires five decisions.

Own

A company should own the assets that determine its distinctive value, protect its data advantage, and preserve its direct understanding of the customer. Ownership is especially important where losing the asset would make the company interchangeable or dependent.

Orchestrate

The company should use partners where external capability creates more value than internal buildout. This may include geographic access, implementation, specialized industry expertise, complementary technology, procurement access, or service capacity.

Control

Control does not always require ownership. A company can use external implementation capacity while retaining control of product standards, customer data, quality requirements, pricing logic, and the customer experience. The critical question is which decision rights cannot be delegated safely.

Concentrate

Every ecosystem creates dependencies. Leaders should know where revenue, implementation capacity, market access, or product functionality depends on a small number of cloud platforms, distributors, integrators, or technology partners. Concentration can create scale, but it can also introduce risk.

Reconfigure

The quality of an ecosystem is partly determined by how quickly it can be changed. When pricing, product architecture, buyer behavior, or market conditions shift, can the company activate different partners, redesign incentives, and move resources without rebuilding the entire route to market?

These five decisions turn partner strategy from a relationship portfolio into a corporate architecture question.

4. Where Ecosystems Create Advantage

An ecosystem can create a compounding advantage when it does one or more of the following:

• Expands access to customers or budgets the company could not reach efficiently on its own.
• Adds domain credibility, implementation capability, or accountability required for adoption.
• Embeds the product into a broader workflow or solution, increasing its relevance and switching costs.
• Improves time to value, adoption, retention, or expansion after the transaction.
• Creates a learning loop through which external market signals improve product and go-to-market decisions.
• Shapes standards, interfaces, or communities before those control points are established by others.

The common feature is not that a partner touched the transaction. It is that the partner supplied a scarce complementary asset that improved the probability, economics, or durability of the customer outcome.

5. Where Ecosystems Destroy Advantage

The same ecosystem can weaken the company when:

• A platform or partner becomes the primary interface to the customer and reduces the vendor to an interchangeable component.
• Partner incentives reward transactions that reduce margin without improving access, conversion, retention, or strategic position.
• The company loses direct customer learning because important commercial and implementation signals remain outside its systems.
• Data rights, standards, or technical dependencies allow another company to capture the highest-value layer of the solution.
• A small number of partners control a disproportionate share of revenue or implementation capacity.
• The partner model is difficult to change when the product, pricing model, or market shifts.

These are not arguments against partnerships. They are reasons to manage ecosystem exposure with the same rigor applied to product architecture, customer concentration, and capital allocation.

6. The Implications Differ by Company Stage

AI-native and early-stage companies often need to borrow trust, implementation expertise, and enterprise access. Partners can shorten the path to credibility, but an early company can also become captive to a platform or services partner before it has established direct customer knowledge.

Scale-ups can use partners to expand market coverage without replicating fixed sales and delivery capacity. Their central challenge is to convert founder-led relationships into repeatable motions while preserving product feedback and commercial discipline.

Established and PE-backed software companies should assess exposure workflow by workflow. Where AI changes usage or pricing, partner incentives built around seat expansion or transaction volume may no longer support the new economics. The issue is not simply redesigning a channel program; it is aligning product, pricing, delivery, and ecosystem economics around the revenue pools that remain defensible.

7. The Board Agenda

A board or executive team should be able to answer the following questions:

• What are the scarce assets underlying our advantage, and which of them do we control directly?
• Which external capabilities materially improve access, adoption, implementation, retention, or expansion?
• Where could a partner, platform, marketplace, or agent become the primary customer interface and capture our margin?
• How concentrated are our critical ecosystem dependencies?
• Are partner economics aligned with the customer outcomes and pricing model we expect to have three years from now?
• Can we distinguish revenue that is merely transacted by a partner from revenue that is genuinely incremental because of one?
• How quickly can we reconfigure our ecosystem as market conditions change?

CONCLUSION

AI does not make product secondary or partnerships universally more important. It changes which capabilities are abundant, which remain scarce, and which sources of advantage must be owned, controlled, or assembled through others.

The strongest companies will not pursue the largest possible ecosystem. They will make deliberate choices about where external capability creates leverage, where internal ownership remains essential, and where dependency could erode enterprise value.

The question is not how much business flows through partners. It is whether the ecosystem improves the company’s strategic position, economic model, and capacity to adapt.

Research basis

Omdia: How will changing IT spending trends impact global channel chiefs? (January 2026)

Bain & Company: Will Agentic AI Disrupt SaaS? (Technology Report 2025)

Bessemer Venture Partners: The GTM Guide to Building SaaS Channel Partnerships