Illustrative scenarios based on typical deployment modeling. Not the results of any specific customer. Individual results vary.
The cost of waiting is real
Companies that delay AI adoption face competitive disadvantage, customer churn, and unsustainable margins
Competitive disadvantage
Competitors using AI operate at 3-5x efficiency. Every month you delay, they pull further ahead.
Customer churn
Average response time of 4+ hours. Satisfaction scores at 72%. Customers leave for faster alternatives.
Margin compression
Manual processes consuming 18% of revenue. Support costs at $8.50 per inquiry. Unsustainable at scale.
Four things, one system, no integration project.
Most teams stitch a chatbot to a form tool to an automation tool and hope the handoffs hold. Arcanflows ships them as one product, so context survives every step.
Agents that talk
On your website, in email, and on a real phone number — the same agent, the same knowledge.
- Answer on chat, embed, email or an actual phone line
- Train on your PDFs and docs — answers cite their sources
- GPT, Claude, Gemini, Grok, Mistral, or your own via Ollama
- Multiple agents can collaborate: route, debate, run in parallel
- One script tag to embed anywhere
Work that runs itself
Business processes that execute on a schedule, a webhook, a form, or an agent's decision.
- Visual builder — 20+ node types, no code needed
- Run on a timezone-aware schedule and deliver the result
- Trigger from webhooks, forms, chat, or another workflow
- One-click connectors: GitHub, HubSpot, Jira, Notion, and more
- Built-in retries and error handling
Things you build
Describe what you need and the Builder designs it — tables, forms, agents, dashboards.
- The Builder turns a sentence into a working app
- Forms with smart validation and 15+ field types
- Data tables with views, imports and relations
- Publish branded internal apps with your own theme
- Everything is editable afterwards — no black box
People in the loop
Automation that knows its limits. The moment a person is needed, they are already in context.
- Customers can ask for a human — or the agent can decide
- Operators take over the same conversation, full history intact
- Transfer to a teammate mid-conversation, with a note
- Live queue, presence, and team chat between operators
- Resolve, and the AI picks the conversation back up
Describe it. Get a working system.
Type what you need in plain language. The Builder designs the data tables, the forms, the agents, the workflows and the dashboard — then shows you every piece before anything is created.
You type
"I need to track volunteer applications, validate them with AI, and email a confirmation with the right template."
You describe the outcome
One paragraph. No schema, no diagram, no ticket.
It proposes the design
Tables, fields, relations, forms, agents, workflow steps — laid out for review.
You approve, it builds
Everything is created and editable afterwards. Nothing is a black box.
The AI answers. When it shouldn't, a person does.
The objection to support automation has always been the same: what happens when the bot is out of its depth? Here the conversation moves to a human without restarting.
The customer can just ask
A phrase you choose — "talk to a human" — escalates instantly, before the model even replies.
Or the agent decides
Low confidence, a sensitive topic, or a rule you set hands the conversation over on its own.
Your operator arrives in context
Full history, no "can you repeat that". The AI stays quiet while a human owns the conversation.
Hand it on, or hand it back
Transfer to a teammate with a note, or resolve and the AI resumes automatically.
Films, not four-second clips.
A node canvas where a prompt becomes an image, an image becomes a clip, and clips chain into something long enough to actually use.
Chain past the model's limit
Each clip continues from the previous clip's last frame, then assembles with cuts or crossfades. Length stops being the model's decision.
A character who stays themselves
Pick a preset avatar or upload your own photo. With an Alibaba video backend the image anchors identity on every clip and scenes render in parallel.
They can speak
With Veo configured, presenters lip-sync dialogue you write in quotes — and fall back to motion plus voiceover automatically when it is not.
Your agents direct
An agent node turns one line into a full visual brief, a script, or a shot list, and feeds it straight into the image and video nodes.
Trusted by teams delivering measurable results
Figures below are illustrative industry benchmarks, not measured Arcanflows deployments. The testimonials are from named users of the platform.
E-Commerce Customer Support
5,000 inquiries/week, 4+ hour response time, 72% CSAT, support costs at 18% of revenue
AI agent with knowledge base + return processing workflow + analytics dashboard
Invoice Processing Automation
3,000 invoices/month, 8 min per invoice, $45K/year in late penalties, 8% error rate
AI extraction + approval workflows + accounting system integration
IT Service Desk
400+ tickets/week, 6-hour resolution, 30% password resets, no after-hours coverage
AI support agent + Active Directory integration + specialized sub-agents
Illustrative scenarios based on typical deployment modeling. Not the results of any specific customer. Individual results vary.
“We replaced three separate tools with Arcanflows. Our recruitment screening pipeline runs end-to-end without manual intervention. What took 2 hours per batch now happens in minutes.”
Disclosure: Wind Consulting is an affiliate of Windconsul Tech LLC, the owner of Arcanflows.
“The workflow builder is incredible. We set up a form that captures volunteer applications, validates with AI, selects the right email template, and sends personalized confirmations — all automatically.”
Four tools that already know about each other
Not four products bolted together — the Builder creates agents, agents run inside workflows, workflows feed apps, and every one of them shares the same data and permissions.
Describe the outcome. Review the design. Ship it.
The Builder is a conversation that ends in working software. You explain what the business needs; it drafts the data model, the agents, the automations and the screens, and shows you every piece before a single row is created.
- Drafts data tables, forms, agents, workflows, tools, dashboards and apps
- Shows the concrete spec of each component — fields, steps, prompts — before deploying
- Multi-table designs with real relations, not one flat sheet
- Everything it makes is editable afterwards in the normal editors
- Component health is tracked after deployment, so you see what actually works
How you actually use it
- 1
Describe it in chat
One paragraph of plain language — the problem, not the schema.
- 2
It drafts a proposal
Tables, fields, relations, agent prompts and workflow steps, laid out for review.
- 3
You review the detail
Open any component and see exactly what will be created. Change your mind here, not after.
- 4
Deploy and refine
Approve, and it builds everything. From then on you edit it like anything else in the platform.
Everything else it does
The parts that don't fit on a landing page, but decide whether it survives contact with your business
The questions your security team will ask.
Guardrails are platform-wide and updatable without a deploy — when a new attack pattern appears, the rule changes, not the release.
Prompt-injection defence
Input and output screened on every turn, including streamed responses
Content sitting outside the model
Retrieved documents and tool results are neutralized, not trusted as instructions
Tool calls are gated
Requests aimed at internal infrastructure are blocked before they dispatch
Encrypted credential vault
AES-256-GCM at rest, scoped per integration
Roles, permissions and MFA
Granular permissions, TOTP, and per-tenant isolation on every request
Audited and alerted
Violations logged centrally and pushed to your channels when they matter
It has an API, a CLI, and no lock-in.
Everything the console does, your code can do.
Public API
Call any agent over HTTP with an embed key — streaming or not
Command line
Chat with agents and run the Builder from your terminal
Embed widget
One script tag; themeable to your brand
Webhooks
Trigger workflows from anything that can POST
Bring your own models
Ollama, vLLM and TGI — your weights, your hardware
Self-hosting
Run the whole platform in your own infrastructure
Built for every industry
10 ready-to-deploy use cases
Illustrative industry benchmarks — not measured Arcanflows results.
Live this week, not this quarter
Day one
- Describe what you need to the Builder
- First agent answering on your knowledge base
- Embedded on a page or answering a phone number
Week one
- Workflows connected to your real systems
- Forms and data tables in production use
- Operators handling escalations in the queue
Ongoing
- Tune from real conversation analytics
- Add agents and automations as they prove out
- Governance rules updated centrally as you learn
Plans that scale with what you actually use
Every plan includes the whole platform — agents, workflows, forms, data tables, apps, handoff and the Builder. Plans differ by capacity, not by features held hostage.
Usage is metered across eight buckets — tokens, text-to-speech, speech-to-text, images, video, audio, storage and phone minutes — and enforced before a request runs, so you are never surprised by an invoice.
Free
Perfect for getting started. Basic features with limited usage.
- Handoff Processes
- Team chat available
Pro
For individuals and small teams. Full features with generous limits.
$2,800 billed yearly
- 25M tokens/month
- 20 agents
- 20 users
- 150 GB storage
- 200 phone minutes/month
- 200 images/month
Enterprise
For large organizations. Unlimited capacity with premium support.
$4,990 billed yearly
- 50M tokens/month
- 50 agents
- 50 users
- 200 GB storage
- 3,000 phone minutes/month
- 2,000 images/month
Enterprise Premium
Enterprise with 50% more capacity across every quota. Unlimited agents, users and conversations, with premium support and dedicated infrastructure.
$6,990 billed yearly
- 75M tokens/month
- Unlimited agents and users
- 15M TTS characters · 7.5M STT characters
- 15,000 images · 3,000 videos (18,000s)
- 54,000s of generated audio
- Priority support and dedicated infrastructure
Need something the plans do not cover?
Published plans are the self-serve path. Anything larger, stricter or more specific is a conversation — the quotas, the terms and the work around them can all be shaped to your case.
A person replies — usually the same day.
- Custom quotas and limits, priced to your real volume
- Security and procurement requirements: SSO, SLA, DPA, dedicated or on-premise deployment
- Migration, integration and build work delivered by our team
- An ongoing retainer with a named consultant instead of a ticket queue
Add-ons
Top up any plan with more of what you actually run out of.
Storage Pack - 50 GB
Adds 50 GB of file storage to your plan (documents, media, uploads — everything counts)
Audio Pack - 30 Minutes
Adds 1,800 seconds of generated audio per month (sound effects, music, voice replies)
Extra phone minutes
Hired more minutes for your external calls!
One-time packs
Buy capacity when you need it, without changing plan.
5M Token Pack
Five million tokens at a discounted rate. Best for high-volume agents.
Priority Support - 1 Month
One month of priority technical support with 4-hour response SLA.
1M Token Pack
One million tokens for LLM inference. Use across any of your agents.
Professional services
Our team builds it with you — deployment, automation, and ongoing support.
Agent Deployment Starter
Get your first AI agent deployed and configured by our experts. Includes setup, testing, and go-live support.
Monthly Retainer - Pro
10 hours per month of dedicated consultancy. Includes priority booking and unused hour rollover. Perfect for ongoing optimization.
Annual Strategic Partnership
240 hours per year (20/month) with dedicated consultant, full rollover, and strategic roadmap planning. Save 30% vs monthly.
