Konnectify vs Make
Make is a flexible visual builder for detailed automations. Konnectify is built for AI agents that act in your business systems, with limits the platform enforces rather than leaves to the prompt.
- Limits in the platform: pinned fields, allowed values, spend caps.
- Approval by value, sent to Slack or Teams.
- 10,000 credits for $12 a month, AI agents included.
Teams that run their workflows and agents on Konnectify
The quick verdict
Choose Make if you want a visual canvas for detailed, branching automations.
- Visual scenario canvas
- 3,500+ apps
- Mostly rule-based, high-volume work
Choose Konnectify if AI agents will act on deals, tickets, refunds or accounts, and the limits must hold even if the agent misreads its prompt.
- Limits enforced by the platform
- Approval only where stakes are high
- Workflow, AI workflow or agent per job
Feature comparison
Where the two differ once an AI agent is acting on live records.
| Question | Konnectify | Make |
|---|---|---|
| AI agents | Yes: Included in every plan | Yes: Make AI Agents |
| Approval before an agent acts | Yes: A step setting; can depend on the amount | With limits: A review tool, or an instruction to ask |
| Pinned fields and allowed values | Yes: Enforced on every tool | With limits: Prompt and tool descriptions |
| Run and spend limits | Yes: Per agent | With limits: Credit allowance on the account |
| Step-by-step reasoning log | Yes: Event Logs | Yes: Reasoning tab |
| Visual builder | Yes: Builder, plus Copilot from a description | Yes: Visual scenario canvas |
| App library | With limits: 200+, built in depth | Yes: 3,500+ apps |
| Free plan | 2,000 credits a month | 1,000 credits a month |
| 10,000 credits a month | $12 a month | $18.82 a month |
Yes–With limits×Not offered
In the pipeline vs in the prompt
Make's own guidance says agents can ignore guardrails written into their instructions. Ours aren't in the instructions.
Make's guidance: agents "could still behave unpredictably and ignore or misinterpret your explicit guardrails."
The refund tool can't write above $200.
Describe it, or build it visually
Tell Copilot what you need in plain language, then refine it in the visual builder with filters, paths and repeaters.
- A first version from one description
- Edit every step it builds
- Templates for common jobs
When a Shopify order is refunded for more than $200, ask the support lead to approve it in Slack, then add a note to the customer in HubSpot.
Build itRefund requested on an order
Approval if the amount is over $200
Add a note to the contact
Built in depth vs built for breadth
Make lists more apps. Ours go deep in the systems revenue, support, IT and healthcare teams run on.
- Any REST API through webhooks
- Missing connector built in 5 working days on Enterprise
Shopify
Stripe
HubSpot
Freshdesk
Zendesk
Salesforce
Where Make is stronger
Make is a strong product. If these matter most to you, it may be the better fit.
- 01Visual scenariosOne of the most flexible ways to see every branch of a complex automation.Konnectify insteadA visual builder with paths and repeaters, or describe it to Copilot.
- 02One usage-based planEvery feature in one plan, priced by the credits you need.Konnectify insteadPublished plans from a free tier upward, with AI agents in each.
- 033,500+ appsA large library and an active community of templates.Konnectify instead200+ integrations in depth, plus any REST API.
Pricing compared
Monthly prices on each company's pricing page. Yearly billing is lower on both.
Every plan is on the page. Free to start, AI agents included.
Explore Konnectify pricingSwitch from Make in four steps
- 1
Start where AI decides
Those scenarios gain most.
- 2
Rebuild with Copilot
As AI workflows or agents.
- 3
Set the limits
Pinned fields, values, approval.
- 4
Move the rest later
Simple scenarios can wait.
Put the limits in the platform, not the prompt.
Rebuild one scenario where an agent makes decisions, set its limits, and watch it run.





