Personal AI package · 03
Professional AI Agent
Create a portable, maintainable agent environment that can use business tools, remember approved context, and perform controlled workflows.
Implementation starts at $2,495
Best fit
Who this package is designed for
A containerized assistant with deeper integrations, skills, and automation.
- SMBs connecting several business systems
- Retailers coordinating products, vendors, customers, and reporting
- Teams that need custom skills and scheduled work
- Clients prioritizing portability and maintainability
Package brief
Scope at a glance
- 01
Starting investment
$2,495 implementation. Final scope is confirmed after discovery.
- 02
Operating model
Containerized deployment on a compatible client server or private VPS.
- 03
Typical timeline
Typically 2–4 weeks depending on integration access and workflow complexity.
- 04
Support
Managed service plans are available for monitoring, updates, backups, incident support, and iterative improvements.
Every implementation includes written assumptions, client responsibilities, acceptance criteria, and an operating-cost forecast before work begins.
Features and services
What the Professional AI Agent includes
Each capability is configured around the approved role, knowledge, tools, permissions, and outcomes defined during discovery.
Containerized architecture
The application and its dependencies are isolated from the host while important configuration and state remain persistent and recoverable.
Advanced memory design
We separate durable preferences, working context, approved knowledge, and session history according to the assistant's role.
Up to five integrations
Connect approved systems such as calendar, email, files, CRM, inventory, reporting, or workflow tools when access is available.
Custom agent skills
Reusable instructions and tool workflows are developed for the specific tasks the assistant must perform.
Scheduled and triggered work
The agent can prepare summaries, monitor approved sources, organize information, or start a workflow on an agreed schedule.
Controlled business actions
Approvals, permissions, logging, and escalation points keep consequential work visible to responsible people.
Client deliverables
What you receive
- Container and deployment configuration
- Persistent data and backup layout
- Configured integrations
- Custom skills and operating instructions
- Testing and acceptance record
- Technical runbook and user guide
- Priority launch support
Ongoing maintenance
Keep the assistant dependable after launch
$249/month
Priority maintenance for a containerized agent with integrations and scheduled work.
The maintenance plan is billed separately from hosting, AI model consumption, messaging fees, and paid third-party services.
Managed care
What the monthly plan covers
- 01
01
Container, framework, and dependency updates
- 02
02
Monitoring, backup checks, and restart support
- 03
03
Integration credential and connection checks
- 04
04
Memory, skill, and workflow tuning
- 05
05
Up to two small optimization requests each month
- 06
06
Priority business-hours support
Larger feature additions, new integrations, data migrations, and substantial workflow changes are scoped separately before work begins.
Implementation
How this package moves from idea to launch
The sequence stays controlled and understandable, with the highest-value working capability released first.
Delivery sequence
A practical implementation path
- 01
Workflow and integration design
Map the assistant's jobs, source systems, access methods, risks, and required human decisions.
- 02
Container and data architecture
Define services, persistent volumes, secrets, backups, network boundaries, and update procedures.
- 03
Skills and integrations
Build and test the approved tools, memory behavior, scheduled tasks, and escalation rules.
- 04
Acceptance and production launch
Test normal work, edge cases, failures, recovery, and documentation before controlled release.
Included foundation
Core package components
- Portable container architecture
- Advanced memory
- Up to five integrations
- Custom skills
- Scheduled tasks and workflows
- Priority launch support
Estimated separately
Operating and expanded-scope costs
- Hosting and storage
- AI model or API usage
- Third-party platform subscriptions
- Integration work beyond the included scope
- High-volume data migration
Separating implementation, management, and usage protects the client from hidden allowances and keeps recurring costs tied to actual infrastructure and consumption.
In practice
Example workflows and client inputs
The package becomes specific during discovery. These examples show the level of work it is designed to support and what the client prepares for a productive implementation.
Example workflows
- Collect information from approved systems and prepare a weekly operations report
- Qualify a request, update the correct record, and route exceptions for human approval
- Reconcile product, vendor, or customer information across connected tools
- Run a scheduled research or monitoring task and deliver a structured briefing
What the client provides
- Administrative access or supported APIs for included systems
- Process owners for each workflow and integration
- Representative data and realistic acceptance tests
- Security, retention, and approval requirements
Optional expansion
Common add-ons for this package
Add-ons are selected only when they support the defined job. Prices are planning ranges and final scope depends on access, data, platform limitations, and workflow complexity.
Custom automation
$500–$3,000+
Add a controlled multi-step workflow with validation, approvals, and error handling.
Google or Microsoft workspace
$350–$750
Connect approved mail, calendar, files, and productivity services within the agreed scope.
Custom API integration
$750–$3,000+
Connect a supported business system that requires purpose-built API work.
Operations dashboard
$750–$3,000
Add visibility into scheduled work, exceptions, approvals, usage, and health.
Professional AI Agent questions
Is the Professional AI Agent the right starting point?
We’ll confirm the role, deployment, integrations, responsibilities, and operating costs before recommending a build.