Get Odin AI
Get Odin AI builds and deploys enterprise AI agents that run procurement, finance, IT, and compliance workflows end to end.
If your enterprise is stuck between AI demos and production, Odin's Autopilot-to-Automator path is one of the more credible ways to actually ship. The $20 per seat per month Pro plan is legible in a category that often isn't, and the fixed-price Accelerator packages ($15,000 Growth, $30,000 Scale) give you a real number before you commit. It's not a plug-and-play chatbot — the value shows up when you point it at messy, multi-system processes like finance report generation or accounts payable. Compare against UiPath if you need legacy bot orchestration, and Zapier if your needs really are if-this-then-that.
Verified 1d ago · liveness 81/100 · cite: rightaichoice.com/tools/get-odin-ai
- Enterprise operations teams automating cross-department workflows in finance, legal, and procurement
- IT and automation leads needing governed AI agents with SAML/SSO, audit logs, and privacy mode
- Industrial manufacturing, BFSI, telecom, and BPO organizations moving AI from pilot to production
- Teams willing to pay a fixed price for Odin engineers to build custom AI employees in 30-60 days
- Freelancers or solopreneurs wanting a low-cost chatbot for a single site
- Teams that only need a simple Q&A bot without running workflows across systems
- Organizations with no defined use case looking to experiment inside an Accelerator package
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Skip Get Odin AI if you need a low-cost single-site chatbot rather than governed multi-step automation across ERP, HRIS, and ITSM — the value only shows up once you point it at a messy cross-system process.
Pro is priced per seat per month, so cost scales with your headcount even if only a handful of people actually build workflows.
At $20 per seat per month, Odin's Pro plan prices closer to a mid-market SaaS seat than to a classic enterprise automation suite, and it bundles unlimited agents, 200+ integrations, SAML/SSO, and audit logs into that single number. The Accelerator packages are where budget concentration happens: $15,000 Growth for two AI employees in 30 days, $30,000 Scale for four across departments in 60 days. Compare against UiPath-class RPA licensing, which typically prices per bot and per orchestration
In short
Get Odin AI — Get Odin AI builds and deploys enterprise AI agents that run procurement, finance, IT, and compliance workflows end to end. Best for Enterprise operations teams automating cross-department workflows in finance, legal, and procurement, IT and automation leads needing governed AI agents with SAML/SSO, audit logs, and privacy mode, Industrial manufacturing, BFSI, telecom, and BPO organizations moving AI from pilot to production. Plans from $20/user/mo.
What's new in Get Odin AI
Checked 4 days agoAcross the latest 3 updates: 3 news mentions.
What Is MCP? The Model Context Protocol Explained
Explains MCP as an open standard for AI agents to connect with tools and data, highlighting Odin's support.
How to Automate Accounts Payable with AI (Step-by-Step Guide)
Provides a guide on cutting AP processing costs from $15 to $3 and errors from 39% to below 0.1% using Odin.
AI in Legal Operations: Contract Review, Due Diligence, and Beyond
Discusses how AI transforms contract review and due diligence, referencing Odin's case studies.
What people actually say about Get Odin AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
15 mentions across 1 source (Lemmy) · researched Jul 3, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +On-premise deployment meets strict security and compliance needs.
- +Supports multiple frontier models with automatic routing for best fit.
- +No-code automator with 200+ integrations reduces manual workflow coding.
- +Autopilot feature promises rapid agent creation from prompt to production.
- +Enterprise search across connected data sources enhances knowledge access.
- −No public community feedback or case studies to validate claims.
- −Pricing is opaque—no free tier or transparent pricing page found.
- −General enterprise AI reliability concerns cast doubt on agent accuracy.
- −Potential for runaway costs when using multiple models at scale.
- −Integration ecosystem is unlisted, making compatibility assessment hard.
- • Potential overage fees for multi-model API usage
- • Implementation consulting fees may be required
- • Costs for custom integrations beyond 200+ listed connectors
Viability Score
How well maintained and how widely used is Get Odin AI? 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
- Autopilot: turn a single prompt into a production-ready AI agent
- Automator: no-code workflow builder across 200+ native integrations
- Multi-step workflow automation with smart tables and triggers
- Specialized AI agents for procurement, finance, ITSM, and compliance
- Shared Knowledge Base grounding agents in company data with citations
- Enterprise search across connected systems
- MCP (Model Context Protocol) support for live agentic context
- Access to GPT 5.5, Sonnet 4.6, and Gemini 3.5 with automatic routing and fallback
- Custom LLM configuration (BYOK)
- AI Notetaker for meetings, summaries, and follow-ups
- Chatbot Builder for branded AI assistants
- Conversational AI interfaces for business operations
- On-premise deployment option
- API access and webhooks
- SAML/SSO, audit logs, centralized billing, privacy mode, and usage analytics
About Get Odin AI
Get Odin AI is an AI workforce platform for mid-to-large organizations that need agents doing real multi-step work across systems, not a chat window. It offers two entry points: Autopilot, which turns a single prompt into a production-ready agent, and Automator, a no-code builder that strings those agents together across 200+ native integrations covering ERP, HRIS, ITSM, procurement, and workplace chat. Odin prepares your data and process logic before execution, which is why its case-study results are concrete rather than aspirational: a global telecom operator cut a 16-person, five-day finance reporting cycle to under 30 seconds; a legal tech team compressed contract review from five days to under an hour and recovered $324K+ in billable hours; a financial services institution processed 1M+ files at under $0.01 per file with a sub-0.1% error rate. Governance is built in rather than bolted on — a shared Knowledge Base grounds agents with citations, alongside enterprise search, SAML/SSO, audit logs, team-wide privacy mode, centralized billing, and usage analytics. Odin routes across frontier models (the pricing page names GPT 5.5, Sonnet 4.6, and Gemini 3.5), supports BYOK custom LLM configuration, and uses MCP chains to feed live context to agentic applications. An on-premise deployment option covers data-sovereignty requirements. Pricing is unusually legible for this category: a $20 per seat per month Pro plan with unlimited agents and templates, plus fixed-price Accelerator packages ($15,000 Growth, $30,000 Scale) when you want Odin's own engineers to build custom AI employees into your workflows. Growth deploys two employees in 30 days; Scale deploys four across multiple departments in 60 days with a solution architect attached.
Behind the Verdict
Odin AI sits in a specific spot: enterprise-grade agentic automation with enough governance to survive a security review, but with published pricing rather than a quote-gated sales motion. The $20 per seat per month Pro plan bundles what most competitors split into tiers — unlimited agents, multi-step workflow automation, 200+ integrations, shared Knowledge Base with citations, SAML/SSO, audit logs, privacy mode, and usage analytics are all in the base plan. The pricing page also lists automatic model routing and fallback plus BYOK custom LLM configuration, which matters if you have opinions about which model handles which task or compliance requirements about where inference runs. The Accelerator packages are the more interesting commercial move. For $15,000 one-time, Odin's implementation engineer builds two custom AI employees in 30 days on top of your Pro access; for $30,000, four employees across multiple departments in 60 days with a solution architect, full-stack integration setup, and multi-team training. The vendor claims $54K+ and $108K+ in payroll savings respectively — treat those as marketing until you validate against your own process costs. Strengths: real production case studies with named metrics (telecom finance reporting 5 days to under 30 seconds, 16 analysts freed; legal contract review to under an hour, $324K+ recovered; financial services 1M+ files at under $0.01 per file, sub-0.1% error rate); MCP support for live context; on-premise option; SAML/SSO and audit logs in the base tier. Weaknesses: the Accelerator packages are fixed-scope, so a process that doesn't map cleanly to "one core use case" (Growth) will push you to Scale or beyond; per-seat pricing scales with your headcount even if only a fraction of users actually build workflows; and the strongest evidence is vendor-published case studies rather than independent benchmarks. Where it fits: industrial manufacturing, BFSI, telecom, BPO, professional services — organizations that already have a mapped process and can hand it to someone. Where it doesn't: teams without a defined use case, or buyers who want to assemble best-of-breed point tools.
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Real-world workflow fit
Concrete scenarios for the personas Get Odin AI actually fits — and what changes day-one when you adopt it.
Connect ERP data across business units in Automator, build a multi-step agent that pulls period-close figures, validates against smart tables, and generates the reporting pack — with the shared Knowledge Base grounding every number in a citation.
Outcome: Report generation moves from a 16-person five-day cycle to under 30 seconds per the published case study, freeing analyst capacity for exception handling rather than assembly.
Deploy contract intake from email, route documents through an agent-led clause review, and publish decisions back through the Co-Pilot review UI so humans only touch edge cases.
Outcome: End-to-end contract reviews drop from five days to under an hour, with $324K+ in billable hours recovered annually and 92% user adoption within 30 days.
Automate invoice and release-order intake from email and attachments, validate order data against ERP records, and route exceptions to a CSR through the Co-Pilot UI rather than a shared inbox.
Outcome: Manual touchpoints fall by roughly 70%, order data validation holds above 95%, and cost per invoice drops from $15 to $3 with error rates below 0.1%.
Use Cases
- Automate finance report generation from ERP data across business units — the telecom case study cut a 16-person, 5-day cycle to under 30 seconds.
- Compress contract review from five days to under an hour for legal teams, recovering $324K+ in billable hours annually.
- Unify ads, customer care, finance, and HR workflows in publishing, unlocking $4.4M in value per the case study.
- Process unstructured data at scale for professional services, reducing response time per task to under 2 seconds.
- Deploy AI support agents for customer and internal teams handling email intake and order validation.
- Automate accounts payable processing, cutting cost per invoice from $15 to $3 and errors below 0.1%.
- Handle KYC, lending, claims, and fraud workflows in BFSI with governed automation.
- Automate release-order intake from emails and attachments, validating order data and routing exceptions through a Co-Pilot UI.
Models Under the Hood
as of 2026-09-23
Limitations
- Priced per seat from $20 per seat per month on the Pro plan, with fixed-price Accelerator packages at $15,000 (Growth) and $30,000 (Scale) for custom-built AI employees.
- The platform is positioned for enterprise AI-agent automation with multi-step workflows and 200+ integrations, and the base tier includes SAML/SSO, audit logs, and privacy mode rather than gating them to an enterprise tier.
- The implementation motion assumes you have a defined process to hand over — Growth covers workflow design and build for one core use case, so multi-department scope pushes toward Scale.
- Anthropic, OpenAI, and Google model names are published on the pricing page (GPT 5.5, Sonnet 4.6, Gemini 3.5), and BYOK is available if you need to route inference through your own credentials.
as of 2026-10-07
Verification history
We have re-verified Get Odin AI 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-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
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 Get Odin AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pro
$20 per seat/mo
Ideal for
Enterprise teams with an in-house builder who want to run their own agents across 200+ integrations rather than pay for services.
What this tier adds
Starting tier at $20 per seat per month: unlimited agents, Automator workflows, model routing across GPT 5.5 / Sonnet 4.6 / Gemini 3.5, BYOK, SAML/SSO, and audit logs.
Growth (Accelerator)
$15,000 one-time
Ideal for
Mid-market or enterprise team with one clearly defined core use case and a 30-day window to get two AI employees into production.
What this tier adds
Adds $15,000 one-time on top of Pro: two custom-built AI employees, workflow design for one core use case, core-tool integration setup, and 30-day post-launch monitoring.
Scale (Accelerator)
$30,000 one-time
Ideal for
Multi-department organizations that need four AI employees across finance, ops, or legal and want a solution architect attached through rollout.
What this tier adds
Adds $30,000 one-time: four custom AI employees over 60 days, full-stack integration setup across unlimited tools, multi-team training, and a strategic AI roadmap session.
Where the pricing makes sense
The company stage and team size where Get Odin AI's pricing actually pencils out — and where peers do it cheaper.
At $20 per seat per month, Odin's Pro plan prices closer to a mid-market SaaS seat than to a classic enterprise automation suite, and it bundles unlimited agents, 200+ integrations, SAML/SSO, and audit logs into that single number. The Accelerator packages are where budget concentration happens: $15,000 Growth for two AI employees in 30 days, $30,000 Scale for four across departments in 60 days. Compare against UiPath-class RPA licensing, which typically prices per bot and per orchestration
Setup time & first value
How long it actually takes to get something useful out of Get Odin AI — broken out by persona, not the marketing-page minute.
Pro plan: self-serve signup, and a technically comfortable team can have a first agent running the same day — the Automator builder and template library are the fastest path. Accelerator Growth: 30 days from kickoff to two deployed AI employees, including integration setup with your core tools and a team onboarding session. Accelerator Scale: 60 days to four employees across multiple departments
Switching to or from Get Odin AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier: rebuild your multi-step Zaps as Automator flows, then add governance (audit logs, SAML/SSO, privacy mode) that point-to-point connectors don't provide.
- →From UiPath: port the business logic behind your attended and unattended bots into agents, and retire the bot-orchestration layer in favor of MCP-fed live context.
- →From manual shared-inbox intake: point Autopilot at the mailbox, extract fields into smart tables, and route exceptions through the Co-Pilot review UI.
- →From a single-model chat assistant: bring your prompts and data into the shared Knowledge Base, then enable automatic routing across GPT 5.5, Sonnet 4.6, and Gemini 3.5.
- →From a custom in-house LLM pipeline: keep your model access via BYOK, and use Odin for the workflow, integration, and governance layer rather than rebuilding it.
- ↗To UiPath: if you need legacy attended/unattended bot orchestration with a mature RPA control room, port your deterministic bots back and keep Odin only for the AI-native steps.
- ↗To Zapier or Make: if your automation has narrowed back to simple trigger-action links across a handful of SaaS apps, a lighter connector platform will be cheaper.
- ↗To building in-house: if you already have an engineering team comfortable with agent frameworks, you can reproduce the workflow layer and keep only the model routing you need.
- ↗To a point-tool stack: if your organization prefers best-of-breed singles over a unified agent platform, split knowledge search, chatbot, and notetaker into dedicated vendors.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Get Odin AI”, and we withheld 6: 6 could not be judged, because “Get Odin AI” 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 Get Odin AI.
Official links
Tools that pair well with Get Odin AI
Common stack mates teams adopt alongside Get Odin AI, with the specific reason each pairing earns its keep.
Voiceflow
Visual platform for building, testing, deploying, and monitoring production AI chat and voice agents across web, SMS, and telephony.
CustomGPT.ai
No-code custom AI agents trained on your content, with every answer cited back to its source.
Coze
Coze is a no-code platform for building AI agents and publishing them as web apps, APIs, and chat bots.
Featured Head-to-Head Comparisons
Get Odin Ai vs Presto Voice
These are not competitors and you should never shortlist them against each other: Get Odin AI is a horizontal enterprise AI-agent and workflow platform, while Presto Voice is a vertical, managed drive-thru ordering assistant for QSR chains. If your problem is automating finance, legal, procurement, or support workflows across 200+ SaaS/ERP integrations with governance and optional on-premise deployment, look at Odin. If your problem is taking and upselling orders at the speaker post across dozens of drive-thru locations, look at Presto. The only overlap is that both are 'AI' — the buyers, budgets, and integration surfaces are entirely different.
Get Odin Ai vs B Rokratt
Odin AI and Bürokratt serve completely different worlds. If you're an enterprise needing to automate complex workflows with custom AI agents, Odin AI is the powerful platform—especially with its latest news on MCP and AP automation capabilities. If you're an Estonian resident or e-resident looking for a free, secure way to access government services, Bürokratt is the perfect tool. Choose based entirely on your use case.
Get Odin Ai vs Bitsgap
Get Odin AI and Bitsgap serve entirely different domains: Odin is for enterprises building custom AI agents to automate complex workflows (finance, legal, support), while Bitsgap is a crypto trading bot platform for automated strategies on exchanges. Choose Odin if you need a governed AI workforce; choose Bitsgap if you want to automate crypto trading with minimal manual effort.
Alternatives to Get Odin AI
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Visual platform for building, testing, deploying, and monitoring production AI chat and voice agents across web, SMS, and telephony.
CustomGPT.ai
No-code custom AI agents trained on your content, with every answer cited back to its source.
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