01
The knowledge is scattered
SOPs, customer history, pricing, documents, inboxes, CRM records, and employee knowledge live in different places.
Downpour AI Workforce
Build Your Company’s Jarvis.
A private AI operating layer designed around your people, knowledge, software, permissions, and workflows.
Not another standalone AI subscription. A custom system that can understand approved company context and help perform defined work.
$999+
one-time implementation
$200+/month
starting maintenance
Business operating layer
Jarvis / AI Core
Context · tools · permissions · agents · workflows
CRM
Sales
Marketing
SOPs
Employees
Pricing
Customers
Documents
Approved access only
Your tools are not the system
Your business probably already has AI.
02
The context resets
General AI tools do not automatically understand how your entire company operates, who can approve what, or which answer is current.
03
The human still moves everything
A useful answer is only the beginning when an employee still has to compare dashboards, create records, route tasks, and monitor every handoff.
Jarvis connects the pieces.
One operating layer can coordinate approved knowledge, tools, agents, and workflows around the way your company actually works.
General AI product vs. custom implementation
The model may be familiar. The operating layer is yours.
Standard AI assistant
- Answers questions
- Uses broad, general knowledge
- Lives in a separate application
- Has limited company context
- Leaves the user to perform the work
Custom Business Jarvis
- Built around your company
- Uses approved business knowledge
- Connects supported business systems
- Can coordinate specialized agents
- Can execute approved workflows
- Maintains context across defined processes
- Designed around specific business outcomes
The business operating system
Give the system the right context.
Jarvis can work only with information and tools that are intentionally approved, connected, and available within the final architecture.
Business operating layer
Jarvis / AI Core
Context · tools · permissions · agents · workflows
CRM
Sales
Marketing
SOPs
Employees
Pricing
Customers
Documents
Reporting
Operations
Approved access only
Practical workflows
Move from “What can AI say?” to “What work can it help finish?”
When a lead comes in
Jarvis can potentially identify the source, summarize the inquiry, prepare a supported CRM record, assign the next action, draft follow-up, and flag the lead when the response window is missed.
When an owner asks
Jarvis can potentially reconcile connected lead and sales data to prepare an answer to questions such as how many Google Ads leads became sold jobs last month.
When an employee asks
Jarvis can search approved SOPs and return the documented process for a complaint, estimate, service issue, or internal handoff.
When marketing needs support
Jarvis can research, summarize performance, prepare briefs, identify opportunities, and organize work for human review.
Available actions depend on connected systems, permissions, APIs, data quality, security requirements, and the agreed scope.
One AI on the surface. A team behind it.
Jarvis can orchestrate specialized agents.
Your team can interact with one familiar system while purpose-built capabilities handle approved work behind it. Each agent receives only the context, tools, and permission its job requires.
Orchestration layer
Jarvis
Routes approved requests, context, and outputs between the user and specialized capabilities.
Marketing Agent
Sales Agent
Research Agent
CRM Agent
Operations Agent
Reporting Agent
Administrative Agent
Model-agnostic architecture
Use the right model for the job, not one provider for everything.
The stack is selected around workflow, budget, security, reliability, privacy, and performance requirements.
Cloud AI
Commercial services such as OpenAI, Anthropic Claude, and other suitable APIs where their capabilities fit the work.
Fast access to capable hosted models
Private or local AI
Certain open or open-weight models, potentially including Qwen or DeepSeek families, can run on dedicated hardware or private infrastructure when appropriate.
More control, with added infrastructure responsibility
Hybrid
Different models can handle different jobs based on intelligence, speed, privacy, reliability, and cost.
Architecture is selected during discovery
Not every model is open source, and not every workload belongs on local hardware. Downpour documents the selected providers and where approved data can flow.
Implementation process
Start controlled. Prove value. Expand with evidence.
01
AI Architecture Audit
Map systems, repetitive work, bottlenecks, data sources, permissions, and the highest-value first workflow.
02
Build the Brain
Organize approved company knowledge, operating context, instructions, and retrieval rules.
03
Connect the Tools
Integrate supported software and APIs with scoped credentials and explicit boundaries.
04
Build the Agents
Create specialized assistants and defined workflows around the work that matters first.
05
Permissions and Testing
Add approval gates, access controls, logs, exception handling, and realistic workflow tests.
06
Launch and Train
Deploy the agreed system, document it, and train the people expected to use and supervise it.
07
Optimize
Review actual use, repair weak handoffs, and expand only where the system proves useful.
Custom Business Jarvis
Your own business AI system.
$999+
one-time implementation
$200+/month
starting maintenance
Potentially included, depending on final scope
- AI architecture and workflow discovery
- Business knowledge-base setup
- Initial assistant and agent architecture
- Approved data-source connections
- Supported software and API integrations
- Custom instructions and business context
- Role and permission design
- Initial workflow automations
- Human approval gates for sensitive actions
- Testing, documentation, deployment, and team onboarding
- Initial optimization period
Starting maintenance can include
- System health monitoring
- Prompt and instruction maintenance
- Basic integration maintenance
- Model or provider updates where appropriate
- Minor workflow adjustments
- Security and permission review
- Monthly system review
Quoted separately
Unlimited development or model usage, major new integrations, dedicated hardware, GPU or cloud compute, voice and telephony, SMS or email usage, storage, third-party software, large custom applications, and major new agent or workflow builds are not included unless quoted.
AI Architecture Call
Start with the workflow that matters most.
Tell us where work repeats, stalls, or disappears between systems. We will use the first call to define the architecture boundary, required access, and a credible first implementation.
Least-privilege access and approval gates are designed before higher-impact actions are introduced.
Data sources, providers, and system boundaries are documented in the agreed architecture.
The system is built to support the team responsible for the work.
Questions, answered plainly
Know what you are building.
Is this just ChatGPT?
No. OpenAI, Claude, or another model may power part of the system. Downpour builds the business context, permissions, tools, supported integrations, workflows, agents, testing, and operating controls around it.
Can it use my CRM?
Potentially. The exact capability depends on the CRM, available APIs, account permissions, data quality, and agreed implementation scope.
Can it run locally?
Certain open or open-weight models can potentially run on dedicated local hardware or private infrastructure. Discovery determines whether that is technically and economically appropriate.
Does AI replace my employees?
We position it primarily as leverage. It can reduce repetitive work and increase team capacity while important decisions and sensitive actions remain behind human approval.
Will it know everything about my business?
No. It can use only the information intentionally uploaded, connected, or otherwise made available within the approved architecture.
Is my information secure?
Security depends on the architecture. Downpour designs access around least privilege and documents which systems and providers can receive which data.
Can Jarvis take actions automatically?
Certain supported workflows can be automated. Autonomy is introduced intentionally, and higher-impact actions should begin with clear human approval gates.
Why does pricing start at $999?
Every company has different systems, data, integrations, workflows, permissions, and security requirements. This is custom implementation work, not a prebuilt chatbot subscription.
Attract customers. Convert opportunity. Automate the work between.