# Perpetua Perpetua is a private managed-cloud AI employee for small businesses. It handles recurring operational workflows such as lead intake, client follow-up, reporting, reminders, weekly owner briefings, and escalations while Arios manages the cloud infrastructure, monitoring, backups, and support. ## Core answer Small businesses lose time and revenue when operational work depends on the owner being awake, available, and remembering every follow-up. Perpetua addresses that problem by deploying an always-on AI employee that executes repeatable workflows end to end and escalates only the decisions that need a human. ## Company - Product: Perpetua - Built by: Arios Technologies Inc. - Location: Calgary, Alberta - Website: https://useperpetua.com - Contact: hello@ariostech.ca - Founder: Oshane Spencer, Principal Consultant & Founder, Arios Technologies · @WithPastorO ## Primary use cases - Lead and client intake - Follow-up and communication - Weekly reporting and owner briefings - Invoice reminders - Review requests - Cross-system workflow execution - Owner notifications, approvals, and escalations ## Problem A lead arrives after hours and waits until the owner sees it. An invoice goes unpaid because nobody sent the reminder. A project closes and the review request is never sent. These are operational consistency failures, not strategy failures. ## What makes Perpetua different ### Chatbots and point tools - They wait for prompts: A chatbot can answer a question, draft a reply, or summarize a document. Then it stops. The owner still has to remember the work, move the output, and trigger the next step. - They solve one slice: A form tool captures the lead. A calendar tool books the meeting. An email tool sends the message. The workflow still depends on someone coordinating the handoffs. - They become another account to manage: Generic SaaS tools rarely become the operating layer of the business. Context, approvals, credentials, and reporting stay scattered across tabs. ### Perpetua - It watches, decides, and acts: Perpetua monitors triggers, uses business context, connects to systems, and executes repeatable workflows without waiting for the owner to prompt it every time. - It runs in a private managed cloud: Each deployment is isolated in a dedicated private cloud environment with private networking, secure secrets, backups, monitoring, and Arios-managed operations. - It keeps the owner in the loop: Mission Control shows what the agent did, what needs approval, and what was escalated because it required human judgment. ## Private managed cloud architecture You should not have to choose between generic AI SaaS and maintaining your own server. Perpetua runs in a dedicated private cloud environment with isolated infrastructure, private networking, secure secrets, backups, monitoring, and Mission Control visibility. In the managed architecture, Perpetua uses Google Cloud services and Vertex AI in the backend. The public product experience stays focused on the operational workflows the agent runs, while Arios manages the cloud layer. ### Dedicated client environment Each Perpetua deployment is isolated for one client, rather than mixed into a generic shared SaaS workspace. ### Private VPC-backed networking Agent services communicate through private cloud networking patterns instead of exposing the runtime as a public-facing service. ### Always-on agent runtime The agent stays available to watch for triggers, run scheduled work, and continue workflows when the owner is offline. ### Mission Control dashboard Owners see completed work, active workflows, pending approvals, escalations, and weekly operational summaries in plain language. ### Managed state and backups Workflow state, configuration, and operational history are stored in managed cloud services with backup and recovery practices. ### Secure secrets and access controls Credentials and API keys are managed through dedicated secret storage and access controls rather than scattered across scripts or spreadsheets. ### Monitoring and support Arios monitors system health, reviews alerts, handles maintenance, and tunes workflows as the business changes. ### Managed cloud AI reasoning Reasoning is handled through managed cloud AI services so clients are not asked to buy GPUs, operate model servers, or maintain model infrastructure. ## AI employee fluency ### Prompts: The job description Prompts define the role, standards, tone, and outcome the AI employee is expected to deliver. ### Metaprompting: The onboarding handbook Metaprompting improves how the agent thinks through work, asks for missing information, and follows the operating rules of the business. ### Context: The daily briefing Context gives the agent the current facts: the client, the request, the workflow, the stage, and the relevant business constraints. ### Memory: Institutional knowledge Memory helps the system preserve preferences, prior decisions, client history, and repeatable patterns that should not disappear between sessions. ### Skills: Standard operating procedures Skills turn repeatable business processes into reliable workflows the agent can run the same way every time. ### MCPs: System access MCPs and tool connections let the agent interact with business systems so work gets completed instead of merely described. ## Always-On framework ### 01 — Always-Responsive: Leads and clients get an answer, immediately Regardless of when they arrive or whether you are available. The agent reads, qualifies, responds in your voice, and routes or books the next step while you sleep. ### 02 — Always-Running: Workflows execute on schedule, without prompting Invoice reminders. Status updates. Review requests. Post-project check-ins. Not when someone remembers — on time, every time, automatically. ### 03 — Always-Visible: You see everything, without assembling it Mission Control gives you a plain-language view of what happened, what is in flight, and what needs your attention next. ## Workflows ### 01: Your leads never wait for business hours A lead arrives outside business hours. The agent reads the enquiry, qualifies it against your criteria, sends a personalised acknowledgement in your voice, and either books a discovery call or routes it to your team with a full intake summary. Industries and tags: Professional services, Local service businesses, Agencies, Home services. Reference stat: 21× — more likely to qualify when leads receive a useful response quickly. Workflow steps: 1. Lead arrives at any hour 2. Agent qualifies the enquiry 3. Personalised reply sent 4. Call booked or routed 5. Owner receives summary ### 02: Nothing falls through a crack because someone forgot Invoice overdue? A reminder sequence fires automatically. Project completed? A check-in and review request go out. Renewal coming? Proactive outreach lands before the relationship goes quiet. The agent handles operational consistency and escalates judgment calls. Industries and tags: Invoice reminders, Project check-ins, Renewal outreach, Review requests. Reference stat: 24/7 — workflow coverage that does not depend on the owner being available. Workflow steps: 1. Trigger event detected 2. Sequence selected 3. Message drafted or sent 4. Exception escalated 5. Outcome logged in Mission Control ### 03: Your week, summarised before it starts Every week, the agent pulls the relevant activity across connected systems, writes a plain-language summary, and flags what needs attention. You do not assemble the report — you review, decide, and act. Industries and tags: Weekly summary, Pipeline overview, Accounts receivable, Action items. Reference stat: 6am — scheduled owner briefing before the week starts. Workflow steps: 1. Scheduled workflow starts 2. Data pulled from connected systems 3. Plain-language briefing written 4. Risks and action items flagged 5. Delivered to Mission Control ### 04: The agent moves work across systems, not just text across tabs When a workflow requires multiple tools, Perpetua can bridge the steps: read the request, check the relevant record, draft the response, update the system of record, and notify the owner. MCPs and tool connections make the work executable. Industries and tags: MCPs, Tool use, CRM updates, System handoffs. Reference stat: 1 — operating layer coordinating the workflow instead of another app to babysit. Workflow steps: 1. Request enters workflow 2. Agent checks business context 3. Connected tools are used 4. System of record updated 5. Owner sees final status ## Pricing ### Perpetua Managed Cloud A private managed-cloud AI employee for small-business operations, deployed and operated by Arios. Price: $1,497/mo, reduced from $3,500/mo. USD. Founding client pricing; regular managed plan pricing is $3,500/month. Includes: - Private managed-cloud deployment - Always-on AI employee runtime - Mission Control dashboard - Initial workflow mapping and priority workflow setup - Lead intake, follow-up, reporting, and recurring operations - Private VPC-backed architecture - Secure secrets and managed access controls - Monitoring, backups, maintenance, and support - Workflow tuning as your business changes - Pre-session workflow audit ## Optional scope - Specialized workflow, integration, and support add-ons: Optional add-ons may be available for industry-specific workflows, advanced integrations, or support requirements that fall outside the standard managed plan. Price: Scoped during audit. ## Common questions ### Small-business operations Common questions business owners ask when leads, follow-ups, reporting, and admin work start consuming too much time. #### How can a small business respond to leads faster without hiring staff? A small business can respond to leads faster by automating the first-response workflow: capture the enquiry, qualify it, send an acknowledgement, book the next step, and notify the owner. Perpetua handles this as an always-on AI employee, so new enquiries can be processed after hours or while the owner is unavailable. #### What tasks should a business owner automate first? The best tasks to automate first are repeatable, time-sensitive, and operationally important: lead response, invoice reminders, client follow-ups, review requests, weekly reporting, and status updates. Perpetua focuses on these workflows because they create immediate value without replacing the owner’s judgment. #### Why do client follow-ups fall through the cracks? Client follow-ups fall through the cracks when they depend on memory instead of a system. Invoices, renewals, project check-ins, and review requests should be triggered by events and schedules. Perpetua turns those follow-ups into always-running workflows and escalates only the decisions that need a human. #### How can I automate weekly business reports? Weekly business reports can be automated by connecting the systems where work happens, pulling the relevant activity, summarizing it in plain language, and delivering it on a schedule. Perpetua’s Mission Control is designed for that pattern: owners see what happened, what is pending, and what needs attention without assembling the report themselves. ### AI employees and workflow automation Questions about how AI employees compare with chatbots, SaaS tools, virtual assistants, and traditional automation. #### What is an AI employee for small business? An AI employee for small business is an AI agent configured to monitor events, reason about a goal, use approved tools, follow business context, and take action across a workflow. Unlike a passive chatbot, it can continue working after the owner steps away. Perpetua applies this model to operational workflows such as lead intake, follow-up, reminders, reporting, and owner notifications. #### How is Perpetua different from just using ChatGPT? ChatGPT is primarily a conversation interface: you ask, it answers. Perpetua is an operating layer for workflows. It is deployed for your business, connected to approved systems, given workflow rules and context, and monitored through Mission Control so it can execute repeatable operational work rather than only generate text. #### What is the difference between automation software and an AI employee? Traditional automation software follows fixed rules. An AI employee combines automation with language understanding, context, memory, tool use, and escalation rules, so it can handle more variable operational work while still routing judgment calls to a human. Perpetua uses this model for repeatable business operations that need consistency, speed, and visibility. #### What are MCPs and why do they matter? MCPs and related tool connections give an AI agent controlled access to business systems. That matters because an AI employee should not only describe what needs to happen; it should be able to check records, update tools, draft or send messages, log outcomes, and escalate exceptions according to the workflow. ### Private managed cloud and data privacy Questions about using AI while keeping sensitive business, client, financial, legal, or operational data inside a private managed architecture. #### Do I need to buy hardware to keep my business data private? No. Perpetua is designed around private managed cloud deployment rather than asking small businesses to buy and maintain hardware. Each client environment is isolated, backed by private networking patterns, secured secrets, managed access controls, monitoring, and backups. #### Where does my Perpetua environment run? The standard Perpetua Managed Cloud offer runs in a dedicated private cloud environment managed by Arios. Public marketing does not disclose deployment region details, but the architecture is designed around isolated client infrastructure, private VPC-backed networking, and managed operational controls. #### Is Perpetua a shared SaaS product? No. Perpetua is not positioned as a generic shared SaaS account where every client operates inside the same application workspace. The managed offer is built around dedicated client environments, Mission Control visibility, and Arios-managed operations. #### Does Perpetua use Google Cloud or Vertex AI? In the managed architecture, Perpetua uses Google Cloud services and Vertex AI in the backend. This is disclosed in trust and architecture discussions rather than used as the main product promise. The customer-facing value is the private managed cloud deployment and the operational workflows the AI employee runs. #### Is Perpetua appropriate for legal, medical, accounting, or financial workflows? Perpetua can be evaluated for privacy-sensitive workflows, but requirements depend on the industry, jurisdiction, data types, and approval process. During the workflow audit, Arios reviews what the agent should handle, what should require approval, and what should remain human-only. ### Setup, support, and safety Questions about rollout, ongoing management, approvals, monitoring, and what happens when judgment is required. #### How long until Perpetua is running in my business? Timelines depend on the workflows, systems, and approvals involved. The process starts with a workflow audit, then Arios maps the first operational workflows, configures the managed cloud environment, connects approved systems, and reviews the handoff before the agent takes on live work. #### Do I need technical knowledge to use Perpetua day to day? No. Mission Control is designed for a business owner, not a developer. You see active workflows, completed work, pending approvals, escalations, and summaries in plain language while Arios manages the technical cloud layer. #### What if the AI is unsure or makes a mistake? Perpetua should be configured with escalation rules, approval points, and workflow boundaries. If the agent is unsure, outside criteria, or touching a sensitive decision, the safer pattern is to route the item to a human instead of acting silently. Mission Control makes those escalations visible. #### Can I approve messages before they are sent? Yes. Workflows can be designed with approval steps where appropriate. Some low-risk messages may be automated, while higher-risk responses, unusual requests, refunds, legal language, or sensitive client situations can be routed for review before action. #### What does Arios manage for me? Arios manages the private cloud deployment, agent runtime, Mission Control, monitoring, backups, maintenance, support, and workflow tuning included in the standard managed plan. The goal is for the business owner to operate the business, not the infrastructure. ### Pricing and fit Questions about Perpetua Managed Cloud, founding pricing, cancellation, and who the offer is for. #### How much does Perpetua Managed Cloud cost? Perpetua Managed Cloud is currently offered at $1,497/month USD as founding client pricing, reduced from the regular $3,500/month managed plan. It includes the private managed-cloud deployment, always-on agent runtime, Mission Control dashboard, monitoring, maintenance, support, and initial operational workflow setup. #### Why does Perpetua cost more than a $30/month AI tool? A $30/month AI tool is usually a login, chatbot, or narrow feature that still depends on the owner to prompt it, check it, connect the work, and remember every follow-up. Perpetua is priced like managed operations because it includes a private cloud environment, workflow configuration, connected systems, monitoring, support, and Mission Control visibility. The benefit is aimed at the larger problem: if missed leads, slow follow-up, unpaid invoices, reporting time, and manual handoffs are creating a $117K/year revenue or labor drag, the right comparison is not software-seat cost — it is whether recurring operational work is actually getting handled. #### What happens if I cancel? Cancellation terms should be reviewed during the sales process. Operationally, Arios will clarify what happens to active workflows, retained records, connected credentials, and offboarding steps before deployment so there is no ambiguity later. #### Can Perpetua run inside my own cloud account? The standard public offer is Perpetua Managed Cloud. For qualified clients with specific infrastructure, governance, or procurement requirements, Arios can discuss private deployment options during the sales process. #### What kind of business is Perpetua best suited for? Perpetua is best suited for service-based and professional businesses with repeatable workflows triggered by client actions or schedules. Agencies, accounting and legal practices, property management, health and wellness, local services, and e-commerce operations can be a fit when the owner is spending too much time on follow-up, reporting, intake, reminders, and coordination. ## Important URLs - Homepage: https://useperpetua.com/ - Pricing: https://useperpetua.com/#pricing - FAQ: https://useperpetua.com/#faq - Contact: mailto:hello@ariostech.ca - Markdown homepage: https://useperpetua.com/home.md - LLM summary: https://useperpetua.com/llms.txt - Full LLM context: https://useperpetua.com/llms-full.txt