Enterprise software buyers are facing a highly defensive legacy ecosystem that is erecting technical and financial "tollgates" to protect…

TL;DR

Enterprise software buyers are facing a highly defensive legacy ecosystem that is erecting technical and financial "tollgates" to protect its per-seat revenues incumbent-pricing-responses-agents-data-tolls. While legacy platforms push flat-rate multi-year agreements to secure long-term behavioral lock-in salesforce-aela-pricing-lock-in-risk, buyers are simultaneously grappling with steep premium tier upgrades and non-transparent consumption overages ai-overages-forced-upgrades-negotiation-leverage.

Legacy Platforms Erect Data Tolls and API Barriers

Legacy software platforms are erecting aggressive technical and financial barriers to prevent third-party AI systems from accessing enterprise data.

In April 2026, ERP giant SAP updated its API policy to explicitly outlaw unauthorized autonomous AI systems from interacting with its systems outside of endorsed pathways:

"except through and within the limits of SAP-endorsed architectures, data services, or service-specific pathways expressly identified and intended for such purposes, SAP prohibits API use for: (a) interaction or integration with (semi-) autonomous or generative AI systems that plan, select, or execute sequences of API calls, and (b) scraping, harvesting, or systematic and/or large-scale data extraction or replication." — incumbent-pricing-responses-agents-data-tolls (Original source: The Register)

Similarly, ServiceNow introduced Action Fabric to charge customers per action completed by external systems, while Workday is pricing its standalone AI tools at $12 to $38 per employee incumbent-pricing-responses-agents-data-tolls. Sanchit Vir Gogia, founder and CEO of Greyhound Research, warned that these hidden costs create a highly restrictive environment:

"This is not traditional technical lock in where migration is impossible. It is behavioral lock in created by layered dependency over time. When integrations, data movement, and AI permissions all flow through a single commercial framework, alternatives become theoretically viable but practically disruptive." — data-tolls-connector-fees-lockin (Original source: CIO.com)

Legacy vendors recognize that autonomous AI systems threaten their seat-based licensing models, so they are shifting from open APIs to highly restrictive, metered commercial gatekeeping. For buyers, this turns third-party AI integration into a compliance minefield and a source of unbudgeted data taxes.

What to watch: Whether corporate IT groups successfully leverage collective bargaining to force SAP and ServiceNow to ease these restrictive API integration policies.

The Flat-Rate "All-You-Can-Eat" Renewal Trap

Enterprise buyers are trading short-term budget predictability for severe long-term cost shocks by signing flat-rate, multi-year AI software agreements.

To counter buyer resistance to unpredictable consumption-based pricing, Salesforce introduced its flat-rate Enterprise License Agreement (AELA), but executive leadership openly admits this is a land-grab strategy. Speaking at the Barclays 23rd Annual Global Technology Conference in December 2025, Salesforce President and Chief Revenue Officer Miguel Milano stated:

"We take the risk because we want our customers to be successful. There's nothing that I would love more than a customer that I price... at $5 million incremental AELA, and the customer deploys so much that all of a sudden, that deal is not profitable for me. If that is not profitable for me, it means that the customer is the happiest customer in the world. And then I have another 20 years to monetize that customer." — salesforce-aela-pricing-lock-in-risk (Original source: The Register)

Gartner IT sourcing analyst Hannah Decker warned that these agreements are highly likely to convert to restrictive defined-quantity contracts down the line:

"Gartner believes that these are going to be converted into defined quantity contracts at the end of the agreement... If they're moving to a defined quantity contract, there needs to be limits on price increases at renewal. Making sure there are caps that protect you when the agreement ends is critical." — salesforce-aela-pricing-lock-in-risk (Original source: The Register)

Large incumbents are leveraging their balance sheets to temporarily absorb high AI compute costs, aiming to make their proprietary systems operationally indispensable before the initial contract term expires. Once these flat-rate deals convert to defined-quantity contracts, buyers will face massive pricing increases without any historical usage baseline to negotiate from.

What to watch: Whether CFOs begin demanding hard, contractually guaranteed price-increase caps on flat-rate renewals to prevent sudden post-initial-term cost spikes.

Gated Tiers and Non-Transparent Overage Exposures

Software vendors are driving up total cost of ownership by forcing buyers into premium tiers to access AI features, only to hit them later with unpredictable consumption overages.

Tech procurement advisory firm NPI warns that packages like ServiceNow’s Now Assist require upgrading to Pro Plus or Enterprise Plus tiers, representing a 30 to 60% increase in per-user cost ai-overages-forced-upgrades-negotiation-leverage. Once locked into these tiers, buyers face massive financial exposure from consumption overages that quickly outpace their bundled allotments:

"Now Assist... introduces a new overage risk. AI usage grew 9x... quickly outpacing the annual Assist allotments bundled into Pro Plus and Enterprise Plus licenses. Overage costs are not transparently priced. Organizations may accumulate millions of dollars in AI credit exposure without visibility until the next renewal cycle." — ai-overages-forced-upgrades-negotiation-leverage (Original source: NPI Financial)

Because enterprise AI usage scales rapidly, buyers are blowing through their bundled allotments almost immediately, leaving them exposed to millions of dollars in unnegotiated overage fees. Procurement teams must shift from passive budgeting to active contractual protection, securing explicit, capped overage rates before signing up for premium tiers.

What to watch: How aggressively procurement teams begin auditing "enabled" versus "actively deployed" AI features to claw back leverage in upcoming renewal negotiations.

The Build-Your-Own Pivot to Bypass SaaS Friction

Rising software prices and poor support are pushing enterprise teams to bypass commercial vendors entirely in favor of rapid, custom-built internal applications.

According to Retool's Build vs. Buy Report, 35% of enterprises have already replaced at least one third-party SaaS tool with custom software ai-build-vs-buy-myth-reality. Miles Konstantin, Head of Automation and Tooling at Harmonic, highlighted how slow vendor support channels are driving this shift:

"Their support was so slow that it was faster for me to rebuild the product inside Retool than wait for support to get back to me." — ai-build-vs-buy-myth-reality (Original source: BusinessWire)

The barrier to custom software creation has collapsed, meaning commercial SaaS vendors are no longer just competing with rival products, but with their own customers' ability to build a replacement over a weekend. To prevent this churn, software products must deliver deeply integrated, domain-specific value that simple application generators cannot replicate.

What to watch: Whether the rapid adoption of custom application generation tools forces SaaS startups to pivot away from simple workflow features toward highly specialized data gravity.

What surprised us

• SAP's aggressive platform protectionism. Rather than just charging higher API fees, SAP's updated policy explicitly bans third-party autonomous systems from interacting with its systems outside endorsed pathways incumbent-pricing-responses-agents-data-tolls. This is a massive escalation from simple pricing tolls to outright platform protectionism.

• Salesforce's loss-leader strategy for long-term customer lock-in. Salesforce CRO Miguel Milano openly admitted the company is comfortable losing money on multi-million dollar agreements in the short term just to secure 20 years of customer monetization salesforce-aela-pricing-lock-in-risk.

• The staggering speed of AI usage scaling. AI usage grew 9x in H1 2025 alone, turning standard bundled credits into an immediate financial risk for ServiceNow customers ai-overages-forced-upgrades-negotiation-leverage.

• The emergence of custom app building as a direct threat to standard SaaS. With 35% of enterprises already replacing at least one SaaS tool with custom software, the traditional "buy" decision is rapidly losing ground to rapid internal development ai-build-vs-buy-myth-reality.