Australia verdict (TL;DR)
Verified 2026-05-24Australian AI agent buying is split by cloud anchor. Salesforce Agentforce dominates anywhere Sales Cloud already runs at CBA, NAB, Telstra and Coles. Microsoft Copilot Studio rides the M365 install base at Westpac, ANZ, Woolworths and most federal departments running Microsoft 365 GCC and Australia Central. ServiceNow AI Agents are entrenched in IT-service workflows at the Big 4 banks, BHP and Macquarie. LangSmith and LangGraph dominate developer-led agent stacks at Atlassian, Canva and SafetyCulture. n8n and Make are the SMB defaults. Lindy and Relevance AI (Sydney-built) have meaningful Aussie footprints.
Picks for Australia
- Sales Cloud-anchored Australian enterprise: agentforce Agentforce is the default at Aussie CBA, NAB, Telstra and Coles already running Salesforce. Native data residency on Salesforce ANZ instance, APRA-aware deployment paths.
- M365-anchored Australian enterprise or federal department: copilot-studio Copilot Studio runs on the existing Azure Australia East or Australia Central tenant. Works for federal at PROTECTED via Microsoft 365 GCC and IRAP-assessed boundaries.
- IT service management and operational agents: servicenow-ai-agents ServiceNow AI Agents entrenched at the Big 4 banks, BHP and Macquarie inside existing ServiceNow platforms. Native CMDB context for incident and change agents.
- Developer-led agent observability at Aussie tech firms: langsmith LangSmith is the standard at Atlassian, Canva and SafetyCulture for agent eval and observability. AWS Sydney deployment supported on enterprise tier.
- Production agent orchestration with state management: langgraph LangGraph is the orchestration layer most Aussie engineering teams pick when moving beyond prototypes. Pairs naturally with Bedrock or Azure OpenAI in Sydney.
- Australian-built local platform for go-to-market agents: relevance-ai Relevance AI is Sydney-headquartered with native AWS Sydney deployment. Strong fit for AU mid-market wanting a local vendor without LangGraph engineering overhead.
- SMB automation with agent-style workflows: n8n n8n self-host on AWS Sydney is the default for Aussie SMB and scale-ups needing data-residency without paying enterprise agent platform pricing.
How the ai agent platforms market looks in Australia
Australian AI agent buying in 2026 is dominated by cloud-anchor decisions made years before agents existed. Salesforce-heavy Australian enterprise (CBA, NAB, Telstra, Coles, Wesfarmers, Suncorp, IAG) defaults to Agentforce. Microsoft-anchored enterprise (Westpac, ANZ, Woolworths, BHP, Rio Tinto, Fortescue, most federal departments) defaults to Copilot Studio. ServiceNow-anchored IT and ops teams (most Big 4 banks, Macquarie, Telstra, Optus, Medibank) layer ServiceNow AI Agents. These three platforms account for the majority of agent spend at ASX 200 buyers because nobody is procuring net-new platforms during the broader cost-cycle.
Australian tech firms behave differently. Atlassian, Canva, SafetyCulture, Linktree, Culture Amp, Employment Hero, Octopus Deploy, Go1 and Immutable have engineering teams building agents directly on LangGraph, CrewAI and custom orchestration over Anthropic Claude (the dominant local model preference in 2026), OpenAI and Bedrock. LangSmith handles observability and eval. Most production agent workloads run in AWS Sydney (ap-southeast-2) with strict residency commitments where personal data is involved.
Sydney-headquartered Relevance AI has carved out the strongest local agent-platform position, particularly for go-to-market and SDR-style use cases. Lindy and CrewAI have decent presences but smaller than in the US. The federal government sector is the most cautious buyer because IRAP assessment and PROTECTED data classification matter, which pushes federal agent work to Microsoft Copilot Studio inside Azure Australia Central or to Vault Cloud / Macquarie Government environments. AUSTRAC, ASIC, APRA and OAIC have all signalled scrutiny of autonomous decision-making, which is making banks particularly conservative about agent autonomy.
AI agents in Australia sit at the intersection of the Privacy Act 1988, APP 1 (open and transparent management), APP 10 (data quality), APP 11 (security) and the OAIC's 2024 guidance on AI and the Privacy Act. Autonomous agents making decisions that affect individuals must satisfy APP 12 access rights and the upcoming Privacy Act reform's automated-decision-making disclosure obligations. The Voluntary AI Safety Standard (DISR 2024) introduces 10 guardrails likely to become mandatory via the Digital ID Act and AI Act-style legislation in 2026. APRA-regulated entities must apply CPS 230 operational risk controls to agents touching banking or insurance processes, with CPS 234 information-security still mandatory. SOCI Act 2018 obligations extend to agent platforms running critical-infrastructure workflows. For federal use, IRAP assessment at OFFICIAL or PROTECTED is required, which currently excludes most agent platforms outside Microsoft and AWS Bedrock. AUSTRAC has flagged that AML/CTF monitoring agents need human-in-the-loop sign-off. The Online Safety Act 2021 and eSafety Commissioner oversight apply to any agent generating user-facing content. Modern Slavery Act 2018 statements are relevant where agents touch supply chain decisions for entities with >A$100M revenue.
Quick comparison, ranked for Australia
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 6 Salesforce Agentforce | Salesforce-anchored enterprises | $2 | $2 | 4.4 | Global; strongest in US, EU, UK | |
| 7 Microsoft Copilot Studio | Microsoft-anchored enterprises | $0 + $0/emp | $0 | 4.3 | Global; strongest in US, EU, UK; worldwide | |
| 8 ServiceNow AI Agents | ServiceNow-anchored enterprises | Quote | - | 4.4 | Global; strongest in US, EU, UK | |
| 1 LangSmith | Engineering teams building production agents | $0 + $0/emp | $0 | 4.5 | Global; strongest in US, EU, UK | |
| 9 LangGraph | Engineering teams building production agents | $0 + $0/emp | $0 | 4.5 | Global | |
| 3 Relevance AI | Mid-market with mix of ops and engineering | $0 + $0/emp | $0 | 4.6 | Global; strongest in US, AU, UK | |
| 5 n8n | Engineering-led automation teams | $0 + $0/emp | $0 | 4.7 | Global; strongest in EU, US | |
| 4 CrewAI | Engineering teams building multi-agent systems | $0 + $0/emp | $0 | 4.6 | Global | |
| 10 Make (formerly Integromat) | Mid-market non-engineering teams | $0 + $0/emp | $0 | 4.7 | Global; strongest in EU, US | |
| 2 Lindy | SMB ops teams | $0 + $0/emp | $0 | 4.7 | Global; strongest in US |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
What buyers in Australia actually pay
Median annual deal size by employee band, in AUD. Crowdsourced from anonymized buyer disclosures.
| Product | Employee band | Median annual (AUD) | Sample | Notes |
|---|---|---|---|---|
| Salesforce Agentforce | 1,000-10,000 employees | A$285,000 | 18 | Agentforce per-conversation pricing plus Salesforce ANZ enterprise add-on |
| Microsoft Copilot Studio | 500-5,000 employees | A$145,000 | 26 | Copilot Studio consumption plus M365 E5 attached, Aussie enterprise |
| ServiceNow AI Agents | 1,000-10,000 employees | A$320,000 | 12 | ServiceNow AI Agents add-on to ITSM Pro Plus, AUD enterprise tier |
| LangSmith | 50-500 employees | A$58,000 | 22 | LangSmith Plus, Aussie tech firms |
| Relevance AI | 20-300 employees | A$36,000 | 31 | Relevance AI Team plus, AUD pricing |
| n8n | 10-200 employees | A$8,400 | 44 | n8n Cloud Pro or self-hosted infra, Aussie SMB |
Australia-built or Australia-strong vendors worth knowing
Not yet ranked in our global top 10, but credible options for Australia buyers and worth a shortlist.
Relevance AI
Visit ↗Sydney-headquartered. Aussie-built no-code agent platform with strong APAC adoption. Native AWS Sydney deployment, APP-aware data handling.
Atlassian Rovo
Visit ↗Sydney-headquartered Atlassian's agent layer over Jira/Confluence. Becoming default agent runtime for Aussie engineering and ops teams already on Atlassian Cloud.
Canva AI
Visit ↗Canva's agent stack runs at Sydney scale. Not a third-party platform but a useful reference for how Aussie scale-ups build production agent systems on Anthropic and OpenAI.
Salesforce Agentforce ANZ
Visit ↗Salesforce ANZ has built a strong Agentforce delivery practice with implementation partners across CBA, NAB and Telstra. Default APRA-aware agent path.
All 10, ranked for Australia
Same intelligence as the global ranking, vendor trust, review patterns, verified pricing, compliance, reordered for the Australia market.
Salesforce Agentforce
Native Salesforce agent platform extending CRM with AI agents.
Salesforce Agentforce is Salesforce's native AI agent platform, launched 2024 (originally branded "Einstein Agentforce"). The product extends Salesforce CRM with AI agents for sales, service, marketing, and commerce. Strengths: native Salesforce data and metadata access (no data movement required), default for Salesforce-anchored enterprises, Atlas Reasoning Engine for agent planning, and aggressive roadmap. Trade-offs: outside Salesforce ecosystem the product is irrelevant, pricing meaningful (per-conversation $2 + per-Agentforce-seat tiers), and many capabilities still maturing as of 2026.
Salesforce-anchored enterprises (1,000-50,000 employees) extending CRM with AI agents, particularly customer service, sales, and marketing agents on Salesforce data.
Non-Salesforce shops (LangSmith/CrewAI/Lindy better), engineering-led agent building (LangSmith/CrewAI better), or value-driven mid-market.
Strengths
- Native Salesforce data access
- Default for Salesforce-anchored enterprises
- Atlas Reasoning Engine
- Strong customer service agent use case
- Public company financial transparency
- Massive Salesforce sales motion
Weaknesses
- Outside Salesforce ecosystem irrelevant
- Pricing meaningful (per-conversation $2 + seats)
- Many capabilities still maturing
- Implementation heavy for non-trivial agents
- Support depends on tier
Pricing tiers
public- AgentforcePer conversation; consumption-based$2 /mo
- Agentforce Studio (build)Per seat; agent builder accessQuote
- Enterprise BundleCustom; bundled with Salesforce Sales/Service CloudQuote
- · Per-conversation costs scale with usage
- · Salesforce platform license required
- · Implementation services
Key features
- +Native Salesforce data integration
- +Agentforce Studio (low-code agent builder)
- +Atlas Reasoning Engine
- +Pre-built agent templates (sales, service, etc.)
- +Salesforce Data Cloud integration
- +Voice + chat channels
- +Mobile apps
Microsoft Copilot Studio
Native Microsoft 365 / Power Platform agent builder.
Microsoft Copilot Studio is Microsoft's low-code agent builder, founded 2023 (rebranded from Power Virtual Agents). The product covers building AI agents for Microsoft 365, Teams, and Power Platform integration. Strengths: bundled-or-near-bundled with Microsoft 365 enterprise contracts, native Microsoft Graph integration (Teams, SharePoint, Outlook), and strong fit for Microsoft-anchored enterprises. Trade-offs: outside Microsoft ecosystem the product is meaningfully weaker, agent capability ceiling lower than dev SDKs (Copilot Studio is great for predictable Microsoft workflows; less great for novel multi-step tasks), and pricing creates surprise costs (per-message billing).
Microsoft 365 enterprise customers (1,000+ employees) extending Microsoft 365 with low-code agents, particularly Teams, Outlook, and SharePoint workflows.
Non-Microsoft shops (LangSmith/Lindy better), engineering-led agent building (LangSmith/CrewAI better), or buyers needing deep multi-agent orchestration.
Strengths
- Bundled or near-bundled with Microsoft 365 enterprise
- Native Microsoft Graph integration
- Fits Microsoft-anchored enterprises
- Power Platform integration
- Public company financial transparency
- FedRAMP High authorized
Weaknesses
- Outside Microsoft ecosystem meaningfully weaker
- Agent capability ceiling lower than dev SDKs
- Per-message pricing creates surprise costs
- Customer support varies by region
- Innovation pace below Salesforce Agentforce
Pricing tiers
public- Pay-as-you-goPer-message billing; ~$0.01/message$0+$0 /mo +/emp
- Copilot Studio ProPer tenant; 25K messages/month$200 /mo
- M365 BundledBundled with M365 E5 (some features)Quote
- · Per-message costs scale with usage
- · Premium features in higher tiers
- · M365 license required
Key features
- +Low-code agent builder
- +Native Microsoft Graph integration
- +Power Platform integration
- +Teams + Outlook + SharePoint workflows
- +Voice + chat channels
- +Pre-built templates
- +Mobile apps
ServiceNow AI Agents
Native ServiceNow agent platform for enterprise ITSM workflows.
ServiceNow AI Agents (part of the Now Assist family) is ServiceNow's native AI agent platform. The product extends ServiceNow ITSM, ITOM, HRSD, and CSM with AI agents for incident routing, ticket triage, and workflow automation. Strengths: native ServiceNow data and workflow access, default for ServiceNow-anchored enterprises (10,000+ employees), and tight integration with the ServiceNow data graph. Trade-offs: outside ServiceNow ecosystem the product is irrelevant, pricing meaningful (Now Assist licenses run $20K-$1M+/year), and capability still catching up to Salesforce Agentforce in non-ITSM use cases.
ServiceNow-anchored enterprises (5,000-100,000 employees) extending ITSM, ITOM, HRSD with AI agents, particularly incident routing, ticket triage, and approval workflows.
Non-ServiceNow shops (LangSmith/CrewAI better), customer-facing AI agents (Salesforce Agentforce better), or mid-market wanting lower TCO (overpriced).
Strengths
- Native ServiceNow data integration
- Default for ServiceNow-anchored enterprises
- Strong ITSM agent use case (incident, ticket triage)
- Tight ServiceNow data graph access
- Public company financial transparency
- Mature enterprise compliance
Weaknesses
- Outside ServiceNow ecosystem irrelevant
- Pricing meaningful (Now Assist $20K-$1M+/year)
- Capability catching up to Agentforce in non-ITSM
- Implementation heavy
- Support inconsistency reported
Pricing tiers
opaque- Now Assist (Pro Plus)~$20K-$200K/year typicalQuote
- Now Assist (Enterprise)$200K-$1M+/year for large enterprisesQuote
- · Bundled with ServiceNow platform license
- · Per-employee scaling
- · Implementation services
Key features
- +Native ServiceNow data integration
- +AI Agent Studio
- +Pre-built ITSM, ITOM, HRSD agents
- +Now LLM (proprietary)
- +Multi-channel (email, Teams, Slack)
- +Mobile apps
LangSmith
Industry-standard agent observability and evaluation platform.
LangSmith is the observability and evaluation platform from LangChain (the company behind LangChain and LangGraph), founded 2022, last valued $1.25B+ (2024). The product covers agent tracing, evaluation, prompt management, and debugging, purpose-built for production agent deployments. Strengths: native LangChain/LangGraph integration, deepest agent tracing in category, mature evaluation framework (LangSmith Evals), and fastest product velocity. Best fit for engineering teams shipping agents to production. Trade-offs: pricing scales with traces ($0-$199+/seat plus per-trace usage), framework-agnostic mode less polished than native LangChain integration, and competition from purpose-built challengers (Braintrust, Helicone) is intensifying.
Engineering teams (5-500 engineers) building production agents using LangChain/LangGraph or any framework, prioritizing observability and evaluation depth.
Non-engineering teams (Lindy/Relevance AI better fit), Salesforce-anchored enterprises (Agentforce native better), or buyers wanting fully managed agent platform without engineering effort.
Strengths
- Industry-standard agent observability
- Native LangChain/LangGraph integration
- Deepest agent tracing in category
- Mature LangSmith Evals framework
- Fastest product velocity
- Fits production agent deployments
Weaknesses
- Pricing scales with traces (per-usage costs)
- Framework-agnostic mode less polished
- Competition intensifying from Braintrust/Helicone
- Per-seat scaling adds up at higher tiers
- Some enterprise governance features still maturing
Pricing tiers
public- Developer5K traces/month free$0+$0 /mo +/emp
- PlusPer seat; 10K traces/seat$39 /mo
- EnterpriseCustom; SSO, SOC 2, dedicated supportQuote
- · Per-trace overage costs scale fast
- · Higher-volume orgs hit per-seat ceilings quickly
- · Custom evaluators consume LLM API budget
Key features
- +Agent tracing and debugging
- +LangSmith Evals (eval framework)
- +Prompt management and versioning
- +Production monitoring
- +Native LangChain/LangGraph integration
- +Framework-agnostic SDK
- +Annotation queues for human feedback
LangGraph
Open-source agent orchestration framework from LangChain.
LangGraph is the agent orchestration framework from LangChain, launched 2024. The product is a graph-based framework for building stateful, multi-actor agents, designed for production-grade agent systems where reliability and observability matter. Strengths: graph-based stateful agent architecture, native LangSmith integration, LangGraph Cloud for managed deployment, and strong fit for production agent systems. Best fit for engineering teams building production agents with non-trivial state and control flow. Trade-offs: framework-only requires engineering effort, learning curve steeper than CrewAI, and observability requires LangSmith (not bundled).
Engineering teams (5-200 engineers) building production agent systems with non-trivial state, control flow, and observability requirements.
Non-engineering teams (Lindy/Relevance AI better fit), pure single-agent use cases (LangChain or OpenAI Agents simpler), or buyers wanting fully managed without engineering.
Strengths
- Graph-based stateful agent architecture
- Native LangSmith integration
- LangGraph Cloud for managed deployment
- Built for production agent systems
- Open-source (MIT)
- Time-travel debugging
Weaknesses
- Framework-only requires engineering effort
- Learning curve steeper than CrewAI
- Observability requires LangSmith
- Documentation gaps in advanced features
- Less mature than LangChain
Pricing tiers
public- Open SourceSelf-hosted; bring your own LLM$0+$0 /mo +/emp
- LangGraph CloudManaged deployment; bundled with LangSmithQuote
- EnterpriseCustom; SSO + governanceQuote
- · LLM API costs separate
- · LangSmith for observability
- · LangGraph Cloud usage scales
Key features
- +Graph-based agent orchestration
- +Stateful multi-actor agents
- +Native LangSmith integration
- +LangGraph Cloud (managed deployment)
- +Time-travel debugging
- +Human-in-the-loop primitives
- +Streaming + interruption support
Relevance AI
Mid-market low-code agent platform with strong pre-built skills.
Relevance AI is the mid-market low-code AI agent platform, founded 2020. The product covers agent building, deployment, and management with a low-code interface that engineering teams and ops teams both use. Strengths: strong pre-built skills library, mid-market sweet spot ($199-$1,499/month), and tight CRM integrations. Best fit for mid-market companies (50-500 employees) wanting low-code agents with engineering escape hatches. Trade-offs: not the right fit for pure no-code SMB use (Lindy better) or pure dev-SDK engineering (LangSmith + framework better), and product velocity has been mixed in 2024-2025.
Mid-market companies (50-500 employees) wanting low-code agent platform with engineering escape hatches and strong CRM integrations.
Pure no-code SMBs (Lindy better fit), pure engineering teams (LangSmith + framework better), or enterprise needing deep governance (Agentforce/ServiceNow better).
Strengths
- Strong pre-built skills library
- Mid-market sweet spot ($199-$1,499/month)
- Low-code with engineering escape hatches
- Tight CRM integrations (Salesforce, HubSpot)
- Multi-agent orchestration
- Founder-led
Weaknesses
- Not the right fit for pure no-code SMB
- Product velocity mixed 2024-2025
- Support is hit-or-miss
- Smaller community than LangSmith
- Some integration gaps vs Lindy
Pricing tiers
public- Free100 credits/month$0+$0 /mo +/emp
- Pro10K credits/month$199 /mo
- Team50K credits/month$599 /mo
- Business200K credits/month$1499 /mo
- EnterpriseCustom; SSO + governanceQuote
- · Credit overage costs
- · Some advanced integrations gated
- · Per-seat pricing at higher tiers
Key features
- +Low-code agent builder
- +Multi-agent orchestration
- +Pre-built skills library
- +Custom skills (Python/JavaScript)
- +CRM integrations native
- +Workflow triggers
- +Agent monitoring
n8n
Open-source workflow automation with AI nodes, self-hostable.
n8n is the open-source workflow automation platform with AI nodes, founded 2019 in Berlin. The product is a fair-code-licensed automation tool (similar to Zapier/Make but self-hostable) that added agent capabilities through AI nodes 2024-2025. Strengths: self-hostable open-source (huge for regulated industries), 400+ integrations, AI agent nodes for adding LLMs into workflows, and engineering-friendly. Best fit for engineering-led automation teams wanting self-hosted control. Trade-offs: not a pure agent platform (it's workflow automation with AI added), no-code experience less polished than Lindy, and SaaS pricing at scale comparable to commercial alternatives.
Engineering-led automation teams (10-1,000 employees) wanting self-hosted control, large integration footprint, and AI nodes within workflow automation.
Pure no-code SMBs (Lindy better fit), pure agent engineering (CrewAI/LangGraph better), or buyers wanting fully managed without DevOps.
Strengths
- Self-hostable open-source (fair-code license)
- 400+ integrations
- AI agent nodes for LLM workflows
- Engineering-friendly (custom nodes)
- Right call for regulated industries
- Active community
Weaknesses
- Not a pure agent platform (workflow + AI)
- No-code UX less polished than Lindy
- SaaS pricing at scale comparable to commercial
- Documentation gaps for AI features
- Customer support on community tier only
Pricing tiers
public- Self-hosted CommunityOpen-source; unlimited$0+$0 /mo +/emp
- Cloud Starter5K executions/month$24 /mo
- Cloud Pro10K executions/month$60 /mo
- EnterpriseCustom; self-hosted + SSOQuote
- · Self-hosted infra costs
- · Per-execution overage on Cloud
- · AI LLM API costs separate
Key features
- +Workflow automation
- +AI agent nodes
- +400+ integrations
- +Custom nodes (JavaScript)
- +Self-hostable open-source
- +Cloud SaaS option
- +Fair-code license
CrewAI
Open-source multi-agent orchestration framework.
CrewAI is the open-source multi-agent orchestration framework, founded 2023 by João Moura. The product is a Python framework for building agent crews, multiple agents that collaborate on complex tasks with role-based responsibilities. Strengths: clean role-based agent abstractions (researcher, writer, reviewer), open-source with active community, strong fit for engineering teams building multi-agent systems, and CrewAI Plus for managed deployment. Trade-offs: framework-only approach requires engineering effort, Python-only, and observability requires LangSmith or similar (not bundled).
Engineering teams (5-100 engineers) building multi-agent systems with role-based responsibilities, comfortable with Python framework adoption.
Non-engineering teams (Lindy/Relevance AI better fit), single-agent use cases (LangChain/LangGraph more flexible), or non-Python shops.
Strengths
- Open-source (Apache 2.0)
- Clean role-based agent abstractions
- Made for multi-agent systems
- Active community
- CrewAI Plus for managed deployment
- Founder-led; strong product velocity
Weaknesses
- Framework-only requires engineering effort
- Python-only
- Observability requires separate tool (LangSmith)
- Documentation gaps in advanced features
- Smaller community than LangChain
Pricing tiers
public- Open SourceSelf-hosted; bring your own LLM$0+$0 /mo +/emp
- CrewAI PlusPer workspace; managed deployment$99 /mo
- EnterpriseCustom; SSO + governanceQuote
- · LLM API costs separate
- · Production deployment infra costs
Key features
- +Multi-agent orchestration
- +Role-based agent abstractions
- +Tool use
- +Agent collaboration patterns
- +Open-source framework
- +CrewAI Studio for visual building
- +CrewAI Plus for managed deployment
Make (formerly Integromat)
Mid-market no-code workflow automation with AI agent nodes.
Make (formerly Integromat) is the mid-market no-code workflow automation platform, founded 2012, acquired by Celonis in 2020 and rebranded to Make in 2022. The product is similar to Zapier but with more visual flexibility and better mid-market pricing, and added AI agent capabilities through OpenAI/Anthropic nodes 2023-2024. Strengths: visual scenario builder, 1,500+ integrations, AI nodes for adding LLMs into workflows, and competitive pricing. Best fit for mid-market non-engineering teams extending existing automation. Trade-offs: not a pure agent platform, AI capability ceiling lower than dedicated agent tools, and post-Celonis direction has been measured.
Mid-market non-engineering teams (50-1,000 employees) extending existing workflow automation with AI nodes, primarily Zapier alternatives at higher complexity.
Pure agent platform needs (LangSmith/CrewAI/Lindy better), engineering-led automation (n8n better), or buyers wanting deepest AI integration.
Strengths
- Visual scenario builder
- 1,500+ integrations
- AI nodes (OpenAI, Anthropic)
- Competitive mid-market pricing
- Established 12+ year track record
- Best for non-engineers
Weaknesses
- Not a pure agent platform
- AI capability ceiling lower than dedicated tools
- Post-Celonis product velocity measured
- Some complexity in advanced scenarios
- Support response times vary
Pricing tiers
public- Free1,000 ops/month$0+$0 /mo +/emp
- Core10K ops/month$9 /mo
- Pro10K ops/month + advanced$16 /mo
- TeamsPer user; multi-user$29 /mo
- EnterpriseCustom; advanced featuresQuote
- · Per-operation overage costs
- · AI node usage scales with LLM API costs
- · Some advanced features gated
Key features
- +Visual scenario builder
- +1,500+ integrations
- +AI nodes (OpenAI, Anthropic, etc.)
- +Custom apps (developer SDK)
- +Webhooks and APIs
- +Mobile apps
- +Schedule and event-based triggers
Lindy
No-code AI agent builder for SMB ops automation.
Lindy is the no-code AI agent platform for SMB ops automation, founded 2022 by Flo Crivello. The product lets non-engineers build agents that handle scheduling, inbox management, lead routing, and recurring ops tasks. Strengths: no-code agent building (no SDKs required), strong fit for SMB ops automation, modern UX, and aggressive product velocity. Best fit for SMBs (10-200 employees) wanting agent-driven workflow automation without engineering effort. Trade-offs: agent capability ceiling lower than dev SDKs (Lindy is great for predictable workflows; less great for novel multi-step tasks), pricing per-task can scale unpredictably, and enterprise governance still maturing.
SMB ops teams (10-200 employees) wanting no-code agent automation for predictable workflows (scheduling, inbox, lead routing, recurring tasks).
Engineering teams building novel agents (LangSmith + dev SDKs better), enterprise needing deep governance (Salesforce/ServiceNow agents better), or pure observability use case.
Strengths
- No-code agent builder (no SDKs required)
- Works for SMB ops automation
- Modern UX
- Aggressive product velocity
- Pre-built skills for common workflows
- Founder-led; strong VC backing
Weaknesses
- Agent capability ceiling lower than dev SDKs
- Pricing per-task scales unpredictably
- Enterprise governance still maturing
- Support response times vary
- Less suitable for novel multi-step tasks
Pricing tiers
public- Free400 tasks/month$0+$0 /mo +/emp
- Pro5,000 tasks/month$49 /mo
- Business30,000 tasks/month$199 /mo
- EnterpriseCustom; SSO + governanceQuote
- · Per-task overage costs
- · Some advanced integrations gated to higher tiers
- · Per-seat pricing on Business+
Key features
- +No-code agent builder
- +Pre-built skills (scheduling, email, lead routing)
- +Calendar integration
- +Email integration (Gmail, Outlook)
- +CRM integration (Salesforce, HubSpot)
- +Agent triggers (scheduled, event-based)
- +Mobile apps
Frequently asked questions
The questions buyers actually ask before they sign.
Can AI agents run on PROTECTED data in Australian federal departments?
How do APRA-regulated banks deploy AI agents without breaching CPS 230 and CPS 234?
Which model providers are Aussie agent teams using in 2026?
LangSmith vs CrewAI vs Lindy, which is right for me?
How does this differ from AI Coding Assistants?
How much should I budget for AI agent platforms?
Do I need observability for agents?
When should I use a dev SDK vs a no-code platform?
How does Salesforce Agentforce compare to LangChain?
Can I evaluate agent platforms via free trial?
How does this overlap with AI SDR and chatbots?
Final word
Looking at a different market? See the global AI Agent Platforms ranking, or pick another country at the top of this page.
Last updated 2026-05-24. Local pricing reverified quarterly. Found something inaccurate? Tell us.