Hi Team,

Given the recent market volatility and the current news cycle around the “death of software,” I wanted to share a few thoughts on what we are actually seeing from our customers and across the enterprise market.

I’m sure we’ve all seen the headlines.

• “SaaS is dead.”
• “Software is over.”
• “Agents will replace applications.”

It makes for strong headlines. It gets attention. But in the world of enterprise SaaS and mission-critical platforms, that simply isn’t what we’re seeing.

If enterprise software were truly dying, the largest enterprises in the world would be behaving differently.

The Real Shift: From Seats to Outcomes

Enterprise SaaS is not dying. Seat-based software is.

For twenty years, software has largely been priced around seats. Humans navigating screens. Clicking through workflows. Acting as the glue between disconnected systems.

We never built Pricefx that way. We don’t price on seats. We price on value. On revenue managed. On measurable ROI delivered. On margin impact generated and shared economic outcomes.

Our model has always aligned with outcomes, not clicks.

That distinction matters more now than ever. Because as interfaces compress and agents execute, the value is no longer in the click. It is in the decision.

From Interfaces to Execution

Interfaces are collapsing. Agents are moving from assisting to executing. Agents will replace clicks.

• They will not replace accountability.
• They will not replace governance.
• They will not replace transparency.
• They will not replace the enterprise systems companies depend on to run their businesses.

Anyone who believes AI agents will replace enterprise software misunderstands both AI and the enterprise.

Agents eliminate friction but they do not eliminate structure. What they require is trusted, deterministic intelligence embedded across systems.

Enterprise AI Only Works If It’s Trusted

There is a fundamental difference between layering black-box neural networks or LLMs into core applications and building enterprise-grade AI that is explainable and auditable.

Enterprises do not run pricing, revenue, or margin decisions on opaque outputs they cannot understand. They require models that can be explained. They require guardrails. They require deterministic controls where stakes are high.

We have believed that from the beginning. We are not new to AI. Our customers have depended on our AI for years.

• Optimization engines.
• Negotiation guidance.
• List price optimization.
• Composable AI.

These are not experiments. They are running in production today, at global scale, inside some of the largest companies in the world.

When we acquired Brennus in 2020 and invested in Adaptive Multi-Agent Systems, we made a deliberate bet on deterministic, explainable AI for enterprise decisioning. We did not predict the marketing wave around “agents.” But we were building toward a world where AI would execute real economic decisions safely and transparently.

That is why this moment feels like an acceleration.

The real battle in this next phase is not agents versus software. It is connected agents versus fragmented agents. It is governed autonomy versus automated chaos.

In demos, agents look magical. In production, our agents touch revenue, margin, contracts, compliance, and customers. That changes the bar.

• If an agent influences billions in revenue, someone must be able to explain why.
• If AI drives margin decisions, someone must be able to audit the logic.
• If a CFO signs off on automated execution, they must trust the constraints.

Determinism and explainability are not optional. They are foundational. If you are building agents without governance and observability, you are building demos. Enterprises do not run on demos. They run on trust.

What Customers Are Signaling

What we are seeing with our customers reinforces this. We serve some of the most iconic brands in the world. Companies managing tens to hundreds of billions in revenue through our platform. And they are not retreating from enterprise software.

• They are extending our agreements for ten years.
• They are expanding with our Agents.
• They are leaning in on platforms that combine innovation with discipline.

That is not software dying. That is enterprises investing in AI when it is economically grounded and operationally trustworthy.

We’re also seeing companies invest in platforms that strengthen the enterprise systems their teams already rely on, by bringing better insight directly into where decisions get made.

People don’t want to leave the systems they use to find answers. They want intelligence embedded where they negotiate, approve, and execute work.

Intelligence Must Travel

Enterprise pricing decisions rarely happen in one place. A deal moves across CRM, ERP, approvals, and execution. The insight guiding that deal has to move with it.

People need pricing intelligence brought directly to where those decisions happen, not siloed in separate applications. Whether it’s negotiating a deal, approving an exception, or committing revenue.

That’s why interoperability and flexibility have always been foundational for us. We bring explainable, governed pricing intelligence directly into the environments where sellers sell, finance governs, and transactions execute, with shared context across platforms.

Agents make this mandate even stronger. As decisions begin executing autonomously across enterprise systems, pricing intelligence cannot be siloed.

Our Salesforce relationship showcasing our Pricing Agents integration into Agentforce reflects this becoming real. Connected, trusted agents executing pricing decisions inside revenue workflows.

We will extend this across SAP and other enterprise platforms. Our long-standing SAP partnership, and position as the only endorsed pricing partner, reflects deep integration and trust built over years.

Meeting users where they work isn’t go-to-market. It’s architecture. And that integration depth has become a structural moat competitors haven’t replicated.

Software Isn’t Dying. It’s Dividing.

So it’s true that some software will not survive this shift. Seat-based models and siloed tools will struggle in a world where agents execute and decisions span systems. Black-box AI layered into workflows without governance will struggle to gain adoption.

But enterprise platforms built on outcomes, trust, interoperability, and explainability, are not threatened by this moment.

Enterprise software is not dying. It’s evolving. From seats to outcomes. From screens to intelligence. From applications to connected agent ecosystems.

We have been building toward that evolution for years.

And judging by the long-term commitments, expansions, and billions in revenue entrusted to our platform…our customers clearly didn’t get the memo that software is dead.

Let’s go!

Ronak