What's working
- AI Agents launched February 2026 with multimodal inputs and visual reasoning.
- Credit billing compounds revenue as AI workflow complexity scales.
- Celonis parentage unlocks enterprise procurement channels SMB tools cannot reach.
Make is executing a deliberate pivot from visual workflow builder to AI agent orchestration platform, anchored by its February 2026 next-generation AI Agents launch and a credit-based billing model that monetizes complexity at scale. Backed by Celonis, a $13B process-intelligence company eyeing a 2026 IPO, Make has institutional runway that pure-play automation startups cannot match. For any founder competing in this space, that combination of a credible AI narrative, deep enterprise parentage, and 3,000-plus integrations is the most important strategic fact of this cycle. This profile sticks to what you can observe on Make's public surfaces and tells you what to do about it.
Next-generation AI Agents launched February 2026 with a reasoning panel, multimodal inputs, and team-shareable agent libraries built into the Scenario Builder. Make is not bolting AI onto a legacy product; it is rewriting the core product story around it.
PricingThe August 2025 shift from per-operation to credit-based billing means AI module calls burn credits at a higher rate than standard steps. For Make, this is an NRR expansion mechanism. For buyers running agentic workflows at volume, it is a surprise cost that often forces plan upgrades.
GTMMake is part of Celonis, a $13B process-intelligence company positioned as a strong 2026 IPO candidate. That parent relationship creates a co-sell path into enterprise accounts that are already Celonis customers, giving Make access to procurement conversations that outbound alone cannot generate.
NarrativeHomepage, AI Agents page, and Waves '25 event messaging have all converged on 'visual orchestration' and 'governable AI' as the category claim. Make is not competing as a Zapier alternative anymore; it is competing for the AI operations budget inside operations and IT teams.
ProductWith over 3,000 pre-built app connectors plus 400-plus AI-specific integrations, Make's breadth makes switching painful for established users. Every net-new connector added widens the gap for challengers trying to match coverage on day one.
Not raw changes. Directional evidence across product, pricing, content, and market motion.
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Works with the communication tools you already use
Medium (Martino Agostini)
Confirms Make's deliberate repositioning from workflow connector to enterprise orchestration layer under Celonis's strategy.
Zapier Blog
Corroborates that Make's steep learning curve and credit complexity are documented buyer friction points, not just anecdotal complaints.
Public review summary
G2 and Capterra volume is strong with generally positive sentiment on flexibility and integration breadth. Recurring friction points: credit cost unpredictability, steep onboarding, and mixed support response times.

Toarn AI
Public signal synthesis
Grade B · High satisfaction on power and integrations, but consistent complaints about billing complexity and support quality prevent a stronger grade.
Sources: G2, Capterra, Gartner Peer Insights
Gartner Peer Insights volume is thin relative to G2 and Capterra, so confidence leans on those two sources.
Why teams trust this
Toarn cross-checks every profile across traditional news sources, modern AI models, and our own proprietary data collection. We run multiple LLM models so conclusions are validated instead of dependent on one output.
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Executive summary · Read this first
In February 2026, Make publicly launched next-generation AI Agents built directly into the Scenario Builder, complete with a reasoning panel, multimodal inputs, and a Module Tools layer that turns any connector into a callable agent tool. That is not a feature release; it is a repositioning of the entire product around AI-first orchestration, with the visual canvas as proof of transparency rather than just usability.
The credit-based billing model, rolled out in August 2025 as a shift from per-operation pricing, creates a compound revenue effect. Every AI module invocation burns more credits than a standard step. As teams scale agentic workflows, monthly spend climbs faster than headcount or scenario count, which builds predictable NRR expansion without any sales motion.
Make's structural advantage sits in its parent. Celonis, valued at $13B and considered a strong 2026 IPO candidate, gives Make a direct channel into enterprise procurement conversations that most SMB-focused automation tools will never reach. The risk for Make is bridging its strong SMB and agency user base with the enterprise governance story Celonis is trying to tell. Those are two very different buyers.
For founders building in this space: Make is moving up-market, leaving room below on pricing simplicity and self-serve speed. The window to own that wedge is open now, but it will not stay open past the next 12 months as Make's enterprise motion matures.
n8n raised $180M in a Series C led by Accel in October 2025, reaching a $2.5B valuation, and declared AI orchestration and enterprise expansion its primary use of funds.
Activepieces, a YC-backed open-source automation platform, expanded its MCP server catalog to 280-plus integrations by late 2025, positioning itself as the largest open-source MCP toolkit for AI agent workflows.
Relay.app raised $8.2M in seed funding from Andreessen Horowitz and Khosla Ventures and launched human-in-the-loop automation workflows targeting operations and cross-functional teams across 200-plus app integrations.
Noise
Product · Q4 2025 to Q1 2026
From automation builder to AI orchestration layerMake announced a waitlist for next-generation AI Agents in October 2025 and launched them publicly in February 2026. Agents are built directly into the Scenario Builder and ship with a reasoning panel, multimodal input support (documents, images, audio), and Module Tools, which turns any of Make's 3,000-plus connectors into a callable agent tool without requiring a full scenario.
This is not a feature add; it is a product redefinition. Buyers evaluating Make in Q2 2026 are now being sold an AI orchestration platform with visual transparency, not just a workflow connector. That changes the budget conversation from operations spend to AI infrastructure spend, which is a larger and faster-growing line item in most organizations.
The February 2026 GA launch, combined with strong documented demand from the waitlist, confirms this is a real product bet, not a marketing narrative. The risk is that AI modules burn credits faster than standard steps, which can create cost surprises at scale and push teams toward n8n's self-hosted model or Activepieces' unlimited-run pricing.
High impact
Strong: GA launch documented on Make's official blog and AI Agents product page as of February 2026, corroborated by Waves '25 event coverage.
Benchmark your AI workflow capability and time-to-first-agent against Make's current UI. If you're slower or less transparent, fix it this quarter.
Pricing and packaging · Q3 2025 to Q2 2026
Complexity monetization through credit abstractionMake shifted from per-operation billing to a credit system in August 2025. Credits do not map one-to-one with operations for all workflow types. AI module calls, code execution, and high-frequency scenarios consume credits at a higher rate. The Core plan starts at $10.59 per month billed annually, but teams running agentic workflows at any meaningful volume report rapid credit depletion and forced plan upgrades.
For Make, this is an elegant revenue model: as AI adoption drives more complex scenarios, spend per customer rises without a price increase conversation. For buyers and for competitors, it is an opening. Teams that cannot predict their monthly automation bill are the most likely to evaluate alternatives, and 'predictable flat pricing' is a clear wedge to exploit in sales.
The billing model is intentional and defensible at scale, but it introduces churn risk in the $200 to $1,000 monthly spend range where teams are price-sensitive and technically capable enough to self-host or switch. That is exactly the cohort n8n and Activepieces are targeting.
High impact
Strong: pricing page, multiple independent cost guides updated through March and April 2026, and consistent review-site complaints about credit confusion corroborate this pattern.
Put a pricing simplicity claim front and center in competitive deals. Show total cost of ownership over 12 months versus Make at comparable workflow volume.
GTM · Q3 2025 to Q2 2026
Enterprise up-market via parent company distributionCelonis debuted at number 3 on the Fortune Future 50 list in 2025 and is widely cited as a 2026 IPO candidate at an $11 to $13B valuation. Make's about page confirms it is a Celonis subsidiary. Celonis's enterprise customer base, which includes companies like Siemens, Lufthansa, and Uber, represents a co-sell channel that no independent automation startup can replicate organically.
Make does not need to win the SMB market to become the dominant automation platform. If Celonis closes enterprise deals where Make is the workflow execution layer, Make's effective TAM expands by piggybacking on a sales org that already owns process mining conversations at the C-suite level.
The enterprise channel is real but unevenly activated. Make still feels like an SMB and agency product at the product and support layer. The gap between Celonis's enterprise positioning and Make's current user experience is a structural execution risk that will take 12 to 24 months to resolve. That window is where competitors can hold ground.
High impact
Moderate: Celonis ownership and IPO trajectory are confirmed by public filings and press. The degree to which Make is actively co-sold inside Celonis deals is not publicly confirmed.
Map your current accounts for overlap with Celonis's customer base. Where they appear, get to the automation budget owner before Make does.
Ongoing competitor monitoring
Founders and C-level teams at B2B SaaS companies competing in the automation tools category.
Signal-based, publicly observable claims only. No leaked or private data.
Homepage, pricing page, product and AI Agents pages, official blog and changelog, Waves '25 event coverage, G2 and Capterra review clusters, web archive drift checks, and public press from the last two quarters. Minimum five independent surface types consulted.
Not affiliated with Make. Editorial read of public signals only, not statements of fact. Toarn accepts no liability for business decisions made in reliance on this analysis.
Q2 2026 · Updated Apr 26, 2026