MEGDOT, system 01
Lead generation system
Sources, enriches and qualifies pipeline every day.
- Replaces
- Manual prospecting and list-building
AI automation partner for enterprises, agencies and growing businesses
Automate the operations that run your business.
Scenox is an AI automation agency. We design, build and run automated workflows and AI agents across finance, operations, support and sales, connected to the systems you already use, with your team approving the steps you choose.
- 6–10 weeks
- to a first workflow in production
- Your cloud or ours
- including on-premises models
- Every action logged
- with approval on the steps you choose
Process supplier invoices from the finance inbox, match them to purchase orders, route large ones for approval and post the rest to NetSuite.
- intakeReading 38 invoices from the shared inbox14s
- parserExtracting and validating line items1m 52s
- matchMatching each invoice to its purchase order9s
- approveRouting 4 invoices over $10k to the AP leadsent
- ledgerPosting matched invoices to NetSuite48s
31 invoices posted, 4 awaiting approval, 3 sent for review
Each exception includes the reason and the source PDF
AI automation services we build
AI for the work that keeps your business running: models read, write and decide by your rules, and your team approves what matters. Most projects combine two or three of these around one workflow.
AI workflow automation
Multi-step processes automated end to end across your CRM, ERP, email and internal tools, with approvals where you want them.AI for finance operations
Invoices, payables, reconciliation and reporting handled automatically around your accounting system.AI document intelligence
Contracts, forms and claims read, checked and turned into structured data, with uncertain fields sent for review.AI support and sales agents
Agents that resolve tickets, follow up on leads and keep your CRM current, with a person approving what goes to customers.AI voice agents
Phone agents that answer at any hour, qualify and book during the call, and hand over to your team when needed.AI on your company data
Assistants that answer from your documents with sources, and private models trained on your data and run in your environment.
Or run a whole function end to end
Blueprints connect the workflows into one system: GTM from target account to closed-won, order-to-cash, onboarding, the month-end close. Built one workflow at a time.
GTM automation system
8 stages
Who we work with
Enterprises buy private deployments, agencies resell systems under their own brand, and smaller teams start with one fixed-price workflow.
Enterprises
Private deployments for teams with security, compliance and integration requirements.
- Deployment in your cloud account or on-premises
- Works with your identity provider and access rules
- Support through security and procurement reviews
- Rollout plans for large teams
Agencies
Offer AI systems to your clients under your brand. We build and operate them; you keep the relationship.
- White-label delivery under your brand
- You set the client price; we invoice you
- A technical partner on client calls
- Running systems you can offer your clients
Growing businesses
Done-for-you automation for teams without AI engineers. Start with one workflow and a fixed scope.
- A fixed-price first project
- A first workflow live in six to ten weeks
- We monitor and fix it every month
- Add workflows once the first has paid for itself
One inbound lead, handled two ways
From form fill to booked meeting. A team does it with research, emails and hand-offs that take a day or more. A system does the research and drafts the reply in about a minute, and a rep approves it before it is sent.
Routine steps run on their own
Research, data entry, follow-ups and scheduling.
You choose what needs approval
Set per workflow, such as outbound emails or record changes.
workflow / inbound lead → first reply
Your team Scenox system
- Lead captured~4 h in inbox0.2 s
- Research & enrichment~25 min3.1 s
- Qualification~10 min1.4 s
- Reply drafted~15 min~1 min
- Rep approves reply—~3 min
- Booking link sent~1 daywith reply
- CRM updatedoften skipped0.9 s
Your team
~1–2 days
2–3 people involved
Scenox system
Under 5 minutes
Reply sent after a rep approves it
Voice agents for busy phone lines
They answer at any hour, qualify and book during the call, follow up on leads and write each outcome to your CRM. Listen to an inbound and an outbound sample, both with synthetic voices.
Natural, low-latency speech
Current neural voices with natural turn-taking.
Actions during the call
Bookings, work orders and record updates made live.
Warm transfer to your team
The person who picks up gets a summary of the call so far.
Maintenance request
Property management line · synthetic voices
Estimate the time you could get back
Set the sliders to match one workflow in your business. The workflow audit replaces these assumptions with measured numbers before you commit to a build.
Your workflow today
What the system costs
Estimated each year
- Hours returned to your team
- 2,592
- Net of running costs
- $98,640
- Payback on the build
- 4.9 months
- Capacity freed
- 1.4 FTE
- Time value, before costs
- $116,640
An estimate from your inputs, assuming 48 working weeks and 1,800 productive hours per FTE. It leaves out the time your team spends reviewing exceptions and the ramp-up period; the audit measures both. How to calculate ROI
Systems we run in production
We built these for our own operations and for clients. New projects start from their architecture, which shortens delivery and lowers risk.
PROPTURE, system 02
Property operations platform
Runs property operations, with voice agents on the phones.
- Replaces
- Front-desk calls and maintenance coordination
IP Sentinel, system 03
Legal operations system
Monitors USPTO activity and drafts office-action responses for review.
- Replaces
- Docketing and first-draft preparation
Your workflow
A system designed for the function you want to automate next, built on the same architecture as the ones above.
Discuss your workflow
How a project runs
Four stages, each with a written output. Most first workflows reach production in six to ten weeks.
- 1Weeks 1–2
Discover
We map how the workflow runs today: every step, tool, hand-off and exception.
Output: Workflow map and success metrics
- 2Weeks 2–3
Design
We design the system: agents, data access, approval points and how success is measured.
Output: System design and build plan
- 3Weeks 3–6
Build and pilot
We build it, score it on your past cases, then run it in shadow mode on live work next to your team.
Output: Pilot results against the agreed metrics
- 4Weeks 6–10, then ongoing
Launch and operate
A staged rollout to production, then we monitor quality, handle incidents and improve the system as your business changes.
Output: A live system and monthly reports
Workflow audit
1–2 weeksOne to two weeks to map one workflow, measure the opportunity and produce a build plan with a fixed price.
Fixed fee
Pilot build
6–10 weeksOne workflow built, piloted on your real cases and rolled out in stages, measured against success metrics agreed up front.
Fixed scope
Managed operations
OngoingWe monitor, maintain and extend your systems after launch, with a monthly report against the agreed metrics.
Monthly
Security and integration
The controls your security team will ask about, where each system can run, and the tools it connects to.
Least-privilege access
Each agent gets only the permissions its task needs.
Full audit trail
Every action, tool call and approval is logged with the model and prompt version used.
Your data stays yours
Never used to train models for other clients. Deploy in your own cloud or on-premises if required.
Approval gates
Sensitive actions wait for a named person on your team.
Quality monitoring
Accuracy is measured in production, with alerts when it drifts.
Model choice
Hosted, open-source or custom models, chosen per task and swapped only after the evaluation suite passes.
Works inside the tools you already run, and anything else with an API.
- HubSpot
- SAP
- QuickBooks
- Xero
- Zendesk
- Intercom
- Gmail
- Google Drive
- Google Sheets
- Notion
- Confluence
- Stripe
- Shopify
- Snowflake
- Postgres
- Airtable
- Jira
- Calendly
Frequently asked questions
Anything else? Write to hello@scenoxstudios.com
What does an AI automation agency do?
An AI automation agency designs and builds software that takes repetitive work off your team: reading documents, answering routine requests, updating records and moving work between systems. Agencies differ most in what happens after launch. We run and monitor what we build, report against agreed metrics every month and fix it when something breaks.
What does Scenox do?
We design, build and run automation for business operations: end-to-end workflows, AI agents for tasks that need judgment, knowledge assistants that answer from your documents, private AI models, and voice agents. They work inside the tools your team already uses.
What is the difference between a knowledge assistant and a private model?
A knowledge assistant uses retrieval-augmented generation (RAG): it looks up your documents at the moment a question is asked, so answers stay current and cite sources. A private model is a small language model trained on your examples to do one task very well, such as classifying tickets, and suits high-volume work that needs to be private, fast and cheap. Many systems use both.
How much does AI automation cost?
It depends on the workflow, integrations and volume. Most clients start with a fixed-fee workflow audit, which gives you a build plan and a fixed price before you commit to more.
How long until we see results?
A pilot running on your own cases usually takes three to five weeks. Shadow running and a staged rollout to production take another two to five, depending on integrations and your security review. Most first workflows are in production within six to ten weeks.
Can it run in our own cloud or on-premises?
Yes. Systems and custom models can be deployed in your AWS, Google Cloud or Azure account, or on your own hardware, when your security policies require it.
What happens when the AI gets something wrong?
Systems check their own work, ask for approval on sensitive actions and send uncertain cases to a person with full context. Uncertain cases stop for review before anything is sent, and every case is logged so the system can be improved.
Do you work with agencies?
Yes. Agencies use us to deliver AI systems to their clients under their own brand. We handle design, build and operations, and join client calls as your technical partner when useful.
Who owns the system?
Ownership, hosting and IP terms are agreed per engagement. We can operate the system for you or hand it over and deploy it into your environment.
Tell us about the workflow you want to hand over.
A 30-minute call with an engineer. You will leave knowing what a system could do for that workflow and what it would take to build.
What happens next
- 1
Strategy call
We learn how the workflow runs today and what a good outcome would be.
- 2
Workflow audit
We map the process and measure where a system would save the most time.
- 3
Proposal
A written scope, timeline and fixed price for your first system. No obligation to build.