Korumia

AI agents for pricing strategy

Use a multi-agent system to set and pressure-test your pricing. Get CEO, Marketing and Finance agent perspectives on packaging, tiers and price changes in one thread.

What using AI agents for pricing strategy actually means

Korumia gives you a multi-agent system for pricing decisions — CEO, Marketing, and Finance agents that tag each other via @, search the web for competitor prices, read files you upload, and share a memory system. Using AI for pricing strategy, in the Korumia sense, is not about letting a model generate a number on a whim. It is about having a structured multi-agent conversation about the trade-offs behind every price decision, with agents who already know your product, your customer, and your economics. Pricing is rarely a math problem; it is a positioning problem with a number attached, and that is exactly the shape of question a multi-agent system is built for.

Concretely, that shows up across the whole pricing lifecycle. Setting your first prices when there is no benchmark and too many options. Repackaging when your plans have drifted and customers are confused. Raising prices without tanking trust. Designing an enterprise tier without cannibalising the main product. Handling a competitor's price cut. Deciding whether to move from seat-based to usage-based, or the other way around. Each of those is a multi-dimensional decision, and each one benefits from three agents arguing the trade-off in front of you instead of a single chatbot generating a blog post.

What you are not getting is a pricing optimisation tool. Korumia does not ingest your Stripe data, run price tests on your website, or spit out a revenue forecast with confidence intervals. It is the strategic layer — the reasoning and decision support — not the instrumentation. Most founders who try to skip the strategic layer and jump straight to experiments end up A/B testing a bad question.

When you'd use a pricing conversation in Korumia

There are four moments when founders and small-business operators consistently get real value out of a pricing conversation in Korumia, and they tend to be the moments no one wants to handle alone.

The first is launch. "We are shipping a new premium tier in six weeks — what should it cost, what belongs in it, and how do we announce it without confusing current customers?" That is a Marketing, Finance, and CEO agent question simultaneously, and the answer needs all three voices.

The second is a repricing cycle. "Our pricing has drifted over two years — we have too many plans, inconsistent discounts, and nobody understands what we sell. How do we rationalise this?" This kind of overhaul needs someone to challenge each existing tier on first principles, which a single-voice AI rarely does.

The third is a raise. "We want to increase prices 20% for new customers and grandfather existing ones. How do we communicate this, what churn signal should we watch for, and how do we handle the predictable pushback?" Your Marketing agent handles the comms plan, the Finance agent models the downside, the CEO agent frames the story. The Marketing agent acts as your virtual marketing expert, but smarter — it connects to the rest of your multi-agent team.

The fourth is a competitive shock. "Our biggest competitor just launched at 40% less — do we cut, hold, or reposition?" This is rarely about matching the number; it is about understanding whether you are selling the same thing to the same buyer, and a multi-agent system is the right venue to work that out.

What makes Korumia different

Three things make Korumia genuinely useful for pricing specifically, rather than just "AI chat about pricing."

Shared memory. Pricing decisions compound — the plan you set today lives in your funnel for years. Korumia's agents remember your product, your ideal customer, your stage, and your previous pricing decisions, so every pricing conversation builds on the last. You do not re-explain your business every time you want to think out loud.

Multi-agent collaboration. A good pricing conversation is inherently cross-functional. When you ask "should we package these two features together and raise the price?" you want a Marketing agent read on perception, a Finance agent read on the margin and contract math, and a CEO agent read on whether this matches your strategic direction. In Korumia you tag them into the same thread and watch them weigh in. This is what turns pricing from a coin flip into a real decision.

Pay-as-you-go pricing to match spiky usage. Pricing work comes in bursts — a few intense weeks around a launch or repackaging, then nothing for months. A subscription tool would be wrong for this; you would pay for silence. Korumia charges only for the tokens you use, so you can run an intense multi-week pricing overhaul and then shelf the agents until the next one.

Sample questions this agent team handles

  • "Our current plans are $29, $79, and 'contact us.' Most customers land on $29. How do I redesign the tiers so more people choose $79 without losing the entry-level buyer?"
  • "We charge $49/month per seat. A competitor just launched at $15/seat with 70% of our features. What is the defensible move here?"
  • "Should we switch from a flat monthly fee to usage-based pricing? What breaks when we do, and what is the migration plan for current customers?"
  • "I want to add an enterprise tier. What is the minimum viable set of features, the right anchor price, and how do I avoid cannibalising the top self-serve plan?"
  • "We grandfather every customer when we raise prices and now 60% of our base pays legacy pricing. How do we unwind this without a revolt?"
  • "My co-founder wants to cut prices to accelerate growth; I want to raise them to fund better onboarding. Can you argue both sides and then give me your honest take for our specific situation?"

Who this is (and isn't) for

This is for founders, pricing leads, and small-business owners who are making real pricing calls with real revenue implications and who want a thoughtful multi-agent conversation before they ship the change. It is not for enterprise pricing teams who need deal-desk tooling, and it is not for anyone looking to outsource the decision itself — the agents will push back, model trade-offs, and argue with each other, but you are the one who picks the number.

How Korumia works

A true multi-agent system

Agents hand off to each other via @mentions, search the web, read and generate files and images, and share a memory system so every agent has the relevant context.

Deep company context

Every agent understands your industry, your customers, your goals. No more explaining your business from scratch every conversation.

Pay only for what you use

No monthly subscriptions or commitments. Add credits when you need them, use them at your own pace. 100 credits ≈ 10 conversations.

Frequently asked questions

No single AI can hand you 'the right price' because the right price depends on your customer's willingness to pay, your unit economics, your competitors, and your positioning — and those change month to month. What Korumia gives you is a structured way to reason through all of those inputs with a CEO agent, Marketing agent, and Finance agent in the same thread. The number is still your decision; the analysis is the heavy lift.

No. It is a multi-agent advisory system, not an optimisation engine. It will not A/B test prices on your website or analyse your Stripe data automatically. It helps you decide what to test, how to frame tiers, when to raise prices, and how to communicate a change — the strategic layer that sits above the tooling.

Packaging is one of the highest-value conversations inside Korumia. Your Marketing agent reasons about which features belong in which tier from a customer-psychology standpoint, your Finance agent checks whether the tier economics actually work, and your CEO agent weighs where you want to anchor the product strategically. You get all three perspectives in one conversation instead of running three separate chats.

Yes — this is a common use case. It will walk through the mechanics: who to grandfather, how much notice to give, how to communicate the change, what objections to prepare for, and how to read the first 30 days of churn signal. The pattern is well-understood and the agents are opinionated about it.

The models have broad knowledge of SaaS, e-commerce, services, and product pricing patterns, and the agents can search the web for specific competitor prices when you ask. They are not omniscient about niche verticals, so the strongest advice comes from feeding your own context — competitor prices, your current structure, your customer segment — which the shared memory system then retains for future conversations.

Both. Subscription pricing, usage-based pricing, one-time product pricing, consulting day rates, service retainers, enterprise deal structuring — all of them are legitimate conversations. The reasoning shifts, but the multi-agent framing (strategy, marketing, finance) holds up across pricing models.

A thorough multi-agent pricing conversation usually costs well under a dollar in tokens. Korumia is pay-as-you-go with free trial credits, so you can walk through a full pricing overhaul for a fraction of what a single hour with a pricing consultant (typically $300-$600) would cost.

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AI Agents for Pricing Strategy — Set, Test, Defend Prices | Korumia