Proxis
Proxis builds permission-aware AI agents for enterprise internal operations, with a visual builder and simulation mode to test agents
Proxis treats employee-level permissions as the product rather than a settings tab, and simulation mode lets you inspect what an agent touches before it runs — a real advantage if your agents work over a permissioned system of record. The connector list is the deal-breaker: GitHub, Zapier, MCP and workflow APIs are what the vendor documents, so confirm that covers your stack first. Start on the free Growth tier (5 agents, 50 simulation runs) and see whether the permission model maps to your org
Verified 2d ago · liveness 73/100 · cite: rightaichoice.com/tools/proxis
- Enterprises automating internal operations where agents must respect employee-level data permissions
- Non-technical sales, marketing and GTM staff who need to build agents without engineering tickets
- Teams that want to dry-run an agent in simulation and inspect what it touches before going live
- Engineering teams offloading repetitive internal work while keeping an API path for custom logic
- Teams that need native connectors to dozens of SaaS apps rather than GitHub, Zapier, MCP and workflow APIs
- Solo users and hobby projects — seat limits and team workspaces assume an organization
- Anyone who wants to train or fine-tune their own models rather than orchestrate agents
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Skip Proxis if your agents need native connectors to dozens of SaaS apps, or if you want a self-built setup you configure alone — GitHub, Zapier, MCP and workflow APIs are the documented paths.
Pay-per-task billing sits alongside the per-seat price, so automation volume adds cost on top of seats as your agents take on more work.
Growth is free at $0/seat/mo with 3 seats and 5 agents, which suits early-stage teams testing whether permission-bound agents fit. Scale is priced in the single digits per seat with 10 seats and 25 agents, aimed at fast-moving startups. Enterprise is custom and unlocks unlimited everything plus access to Fight Club. Compared with self-serve automation tools that charge by task volume, Proxis ties cost to seats and usage caps.
In short
Proxis — Proxis builds permission-aware AI agents for enterprise internal operations, with a visual builder and simulation mode to test agents. Best for Enterprises automating internal operations where agents must respect employee-level data permissions, Non-technical sales, marketing and GTM staff who need to build agents without engineering tickets, Teams that want to dry-run an agent in simulation and inspect what it touches before going live. Free to start; paid plans from $20/user/mo.
What people actually say about Proxis — is it worth it?
We scanned public community sources for Proxis on Oct 1, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Proxis. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Proxis? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Proxis Canvas visual drag-and-drop agent builder for non-technical staff
- Simulation mode to dry-run agents before they touch live systems
- Agent permission management matched to the employee running it
- Folder permissions to scope which data an agent can read
- Role-based access with Basic, Advanced and Enterprise permission tiers
- Shared nodes across teams
- Shared app connections across teams
- Proxis MCP for connecting agents to external systems
- Chatbots with per-tier limits (2 / 10 / unlimited)
- Record templates and tables with per-tier limits
- Workflow APIs for custom agent logic
- GitHub integration
- Zapier integration
- Two-factor authentication
- Multi-team workspaces (1 on Growth, 3 on Scale, unlimited on Enterprise)
About Proxis
Proxis is an enterprise platform and implementation practice for automating internal operations with AI agents, built for companies that need every agent to respect the data permissions of the employee running it. The core idea is simple and unusually strict: an agent only earns its keep if it sees exactly what its operator is allowed to see, so permissions live inside the agent model instead of in a settings page bolted on later. Teams design agents in Proxis Canvas, a visual drag-and-drop builder positioned for non-technical staff, then dry-run them in simulation before workflows touch live systems. Permission controls span folder permissions, shared nodes and shared app connections, with Basic, Advanced and Enterprise access tiers and two-factor authentication. Proxis MCP wires agents into external systems, while GitHub, Zapier and workflow APIs cover the common automation paths and custom logic. Usage is metered by plan — Growth tops out at 5 agents, 2 chatbots, 1,000 records, 3 seats and 50 simulation runs; Scale moves to 25 agents, 10 chatbots, 10,000 records, 10 seats and 150 simulation runs; Enterprise lifts those to unlimited. Beyond software, Proxis runs an implementation practice that onboards non-technical employees onto AI tools, manages Claude Skills, and connects agents to a company's system of record. That services arm is part of the offer, not a footnote.
Behind the Verdict
Most agent builders sell speed. Proxis sells the thing that gets an enterprise agent blocked in review: permissions. Every agent inherits the access of the employee running it, down to folder permissions and shared node scope, with Basic, Advanced and Enterprise permission tiers underneath. That matters more than it sounds. In practice, the reason internal agents stall is rarely the model — it's the security team asking which records the agent can read. If that conversation is your bottleneck, Proxis is aimed squarely at it. We'd reach for it when agents mostly query a system of record and non-technical staff are the ones building them. The visual Canvas plus the simulation step means a sales or GTM lead can assemble a workflow, run it against a dry environment, and see what it touched before anyone ships it. Where it bites: the connector surface. GitHub, Zapier, MCP and workflow APIs are documented, and that's roughly it. If your agents need native hooks into a dozen SaaS tools, you'll spend your time building API bridges or leaning on Zapier, which partly defeats the permission story since Zapier's own auth sits outside Proxis's model. Compare it to Zapier-style automation and you get less breadth, better permission fidelity. Compare it to hand-coded agents and you trade flexibility for governance and speed. The metering is the second caveat. Simulation runs are capped at 50 on Growth and 150 on Scale, and simulation is the feature you'll use most while validating an agent. A team testing aggressively blows through that fast. Seat limits compound it — 3 seats on Growth, 10 on Scale — so this is not built for a solo tinkerer or a hobby project. Pick Proxis when your agents live over permissioned internal data and non-technical teams do the building. Pass if your
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Real-world workflow fit
Concrete scenarios for the personas Proxis actually fits — and what changes day-one when you adopt it.
You build an agent in Proxis Canvas that reads CRM changes through your system of record, drafts the follow-up action, and routes it to the right owner. Before it goes live you run it in simulation to see every record it would touch and confirm it only sees what each rep is permitted to see.
Outcome: The agent goes into production with folder permissions scoped per team, so reps get answers drawn from data they already had access to, and nothing is exposed to the wrong team.
You want an internal chatbot that answers questions about campaign performance without opening an engineering ticket. You build it in Canvas from an existing record template, connect it to the team workspace, and test it for a week in simulation before pointing it at live data.
Outcome: The chatbot ships inside your team workspace with record limits you can see in advance, and no engineering time was spent on the build.
Teams across sales and engineering keep rebuilding the same connections. You expose those as shared nodes and shared app connections, wire the custom logic through workflow APIs, and use Proxis MCP to reach the external systems that Zapier and GitHub do not cover.
Outcome: Teams assemble agents from shared building blocks instead of starting from scratch, and the permission model stays consistent because it lives with the shared nodes rather than in each agent.
Use Cases
- Automate email triage and response for internal support teams
- Build AI agents that trigger workflows off changes in a system of record
- Simulate multi-step business processes before live deployment
- Connect internal databases to conversational AI for instant Q&A
- Onboard non-technical sales and marketing staff onto agent building without engineering tickets
- Orchestrate cross-team automations across sales, marketing and engineering
- Give agents the same data permissions as the employee running them
- Prove an agent's blast radius in simulation before it touches production systems
Limitations
- Plans constrain usage: Growth allows up to 5 active agents, 50 simulation runs, 1,000 records, 5 tables, 10 record templates, 2 chatbots, up to 3 seats and 1 team workspace; Scale allows up to 25 agents, 150 runs, 10,000 records, 50 tables, 100 templates, 10 chatbots, up to 10 seats and 3 team workspaces; Enterprise lifts agents, runs, records, tables, templates, chatbots, seats and workspaces to unlimited.
- Permission primitives include folder permissions and Basic/Advanced/Enterprise access tiers, with shared nodes and shared app connections on the plan comparison table.
- Named integrations are GitHub and Zapier; Proxis MCP and workflow APIs are the documented extension paths, plus two-factor authentication, static IP and pay-per-task billing on higher tiers.
- No mobile or desktop clients are mentioned on the site, which offers only a visual web builder and simulation mode.
as of 2026-09-23
Verification history
We have re-verified Proxis 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Proxis tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Growth
$0/seat/mo
Ideal for
Early-stage team with up to 3 seats testing whether permission-bound internal agents fit, and not yet running high automation volume.
What this tier adds
Free entry point: 5 active agents, 2 chatbots, 50 simulation runs, 1,000 records, 5 tables, 10 record templates, 1 team workspace and Basic permissions.
Scale
Single-digit $/seat/mo (billed monthly; 20% off yearly)
Ideal for
Fast-moving startup with up to 10 seats running several agents and chatbots across more than one team.
What this tier adds
Adds 25 active agents, 10 chatbots, 150 simulation runs, 10,000 records, 50 tables, 100 record templates, 3 team workspaces and Advanced permissions over Growth.
Enterprise
Custom
Ideal for
Large enterprise that needs unlimited agents, seats and workspaces, with Enterprise-grade permission controls and a sales-negotiated agreement.
What this tier adds
Lifts agents, simulation runs, records, tables, record templates, chatbots, seats, teams and workspaces to unlimited, and adds access to Fight Club.
Where the pricing makes sense
The company stage and team size where Proxis's pricing actually pencils out — and where peers do it cheaper.
Growth is free at $0/seat/mo with 3 seats and 5 agents, which suits early-stage teams testing whether permission-bound agents fit. Scale is priced in the single digits per seat with 10 seats and 25 agents, aimed at fast-moving startups. Enterprise is custom and unlocks unlimited everything plus access to Fight Club. Compared with self-serve automation tools that charge by task volume, Proxis ties cost to seats and usage caps.
Setup time & first value
How long it actually takes to get something useful out of Proxis — broken out by persona, not the marketing-page minute.
For a non-technical builder, expect to get a working agent into simulation inside the first session using Proxis Canvas and the built-in record templates. For an engineer wiring GitHub, Zapier, workflow APIs or Proxis MCP, budget a few days to a week depending on how many systems of record and shared connections you want in place before agents go live. Teams that take the vendor's implementation
Switching to or from Proxis
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier-style automation: Rebuild the multi-step flows as Proxis agents so you gain permission scoping and a simulation step before deployment.
- →From hand-coded internal agents: Move the orchestration into Proxis Canvas and keep the custom logic in workflow APIs so non-engineers can edit the flow later.
- →From spreadsheets and shared inboxes for internal requests: Model the request types as record templates and let an agent triage them, scoped by folder permissions.
- →From a standalone internal chatbot: Rebuild it in Proxis so it runs with per-employee permissions instead of a single service account.
- ↗To a broad-connector automation platform: Rebuild flows against the connector you need, accepting that you lose the permission-per-employee model and the simulation step.
- ↗To hand-coded agents: Port the workflow API calls into your own orchestration layer, and plan to rebuild the permission scoping yourself.
- ↗To a model-vendor-native agent framework: Reimplement the agent logic on top of a named model of your choosing, since Proxis does not publish which models it uses.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Proxis”, and we withheld 6: 6 could not be judged, because “Proxis” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Proxis.
Official links
Tools that pair well with Proxis
Common stack mates teams adopt alongside Proxis, with the specific reason each pairing earns its keep.
Notable
Notable runs healthcare AI agents that automate patient access, revenue cycle, care operations, and contact center work.
Instabase
Instabase (now SuperApp) turns multi-document packets into auditable, verifiable intelligence with packet-aware AI agents.
Glide
Glide turns spreadsheets, prompts, and files into internal business apps and AI agents for desktop and mobile.
Featured Head-to-Head Comparisons
Proxis vs Presto Voice
If you run a QSR chain with drive-thrus, Presto Voice is the clear choice — recent Dairy Queen adoption proves its traction. For enterprises automating internal workflows with a visual agent builder, Proxis offers a flexible freemium start. They serve entirely different problems; choose the one matching your operational domain.
Proxis vs Locus Robotics
Locus Robotics and Proxis solve fundamentally different problems: one automates physical warehouse labor with AMRs, the other automates digital office tasks with AI agents. Choose Locus if you run a high-volume fulfillment center needing 2-3x productivity gains; choose Proxis if you're an enterprise looking to let non-technical teams build secure agent workflows for internal operations. They are not direct competitors, so your decision hinges entirely on whether your automation need is physical or digital.
Proxis vs Truleo
Choose Truleo if you're in law enforcement and need to connect siloed data for automated leads and report writing. Choose Proxis if you're an enterprise looking to empower non-technical teams to build and deploy AI agents for internal operations with safety simulations. They serve entirely different markets.
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