Personal AI package · 01

Personal AI Assistant

Turn one recurring information or administrative burden into a private, dependable assistant your team can understand and operate.

Implementation starts at $695

A consultant and small-business owner configuring a private AI assistant on a local workstation
IN PRACTICEPersonal AI Assistant

Best fit

Who this package is designed for

A focused private assistant installed directly on your computer.

  • Owners who want to start with one useful role
  • Professionals handling sensitive local files
  • Small teams testing a private AI workflow
  • Businesses that do not require 24/7 availability

Package brief

Scope at a glance

  1. 01

    Starting investment

    $695 implementation. Final scope is confirmed after discovery.

  2. 02

    Operating model

    Local deployment on a supported client-owned computer or dedicated device.

  3. 03

    Typical timeline

    Typically 3–7 business days after inputs and access are ready.

  4. 04

    Support

    Optional support and managed updates can be added after launch.

Every implementation includes written assumptions, client responsibilities, acceptance criteria, and an operating-cost forecast before work begins.

Features and services

What the Personal AI Assistant includes

Each capability is configured around the approved role, knowledge, tools, permissions, and outcomes defined during discovery.

01

Defined assistant role

We document the job, intended users, approved requests, response style, boundaries, and the result the assistant should help produce.

02

Private local deployment

The assistant is configured on a supported workstation, mini PC, or dedicated device owned and controlled by the client.

03

Business-aware setup

Approved preferences, vocabulary, files, and operating instructions are organized into a maintainable starting context.

04

One working interface

Use the assistant through one agreed desktop, web, or messaging interface appropriate to the local deployment.

05

Security baseline

Credentials, file permissions, update responsibilities, and safe-use boundaries are reviewed before launch.

06

Guided onboarding

A practical session shows the client how to request work, review results, update knowledge, and recognize when human judgment is required.

A consultant and small-business owner configuring a private AI assistant on a local workstation

Client deliverables

What you receive

  • Configured private assistant
  • Role and operating-instruction document
  • Approved knowledge-folder structure
  • Credential and security checklist
  • Quick-start guide
  • Launch and onboarding session

Ongoing maintenance

Keep the assistant dependable after launch

$99/month

Practical care for a focused local assistant after launch.

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

  1. 01

    01

    Monthly configuration and health review

  2. 02

    02

    Framework and security-update guidance

  3. 03

    03

    Backup verification for assistant configuration

  4. 04

    04

    Email support and troubleshooting

  5. 05

    05

    One minor configuration or knowledge adjustment each month

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

  1. 01

    Choose the first job

    Select one recurring role with clear inputs, outputs, and a meaningful time-saving opportunity.

  2. 02

    Prepare the environment

    Confirm the device, framework, model provider, files, permissions, and working interface.

  3. 03

    Configure and test

    Build the assistant identity, memory, knowledge access, and safe response behavior using realistic requests.

  4. 04

    Launch and hand off

    Train the user, deliver documentation, and establish the path for support or later expansion.

Included foundation

Core package components

  • One assistant framework
  • One AI provider
  • Basic memory and identity
  • Approved local file access
  • One communication interface
  • Security setup and onboarding

Estimated separately

Operating and expanded-scope costs

  • AI model or API usage
  • New hardware, if required
  • Paid third-party software
  • Additional integrations, skills, or interfaces

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

  • Search approved local files and prepare a concise answer with source references
  • Turn meeting notes into a follow-up checklist or client-ready summary
  • Draft recurring email or document responses using the owner’s approved tone
  • Organize new reference files into the assistant’s knowledge structure

What the client provides

  • A supported computer or dedicated mini PC
  • Approved documents and example requests
  • Access to the selected AI provider and interface
  • One decision-maker for testing and acceptance

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.

01

Additional AI provider

$100–$250

Add a second compatible model provider for choice, resilience, or task routing.

02

Custom skill

$250–$1,000

Create a reusable capability for a specific recurring task or document type.

03

Local model setup

$500–$1,500

Configure a compatible local model runtime when hardware and quality requirements fit.

04

Voice interface

$500–$1,500

Add a supported voice experience with clear privacy and usage boundaries.

Personal AI Assistant questions

Yes. Local files can remain on the client-controlled device. The exact data path still depends on whether the selected model runs locally or through a cloud API, which we make clear before implementation.

Is the Personal AI Assistant the right starting point?

We’ll confirm the role, deployment, integrations, responsibilities, and operating costs before recommending a build.