SMB Studio

Put AI
To Work — our AI implementation process & services

Ready to explore how AI can transform your business? Our structured approach ensures you get maximum value with minimal disruption

Free consultation

Free Scoping Call

Pick one repetitive action to hand off — no obligation:

  1. Find one recurring support or ops action worth automating
  2. See how AI would run it end to end — propose, approve, execute
  3. Agree where it plugs into the tools you already use
  4. Leave with a clear scope, not a sales pitch

A Working Action, Built

We build that action on your data and systems:

  1. Grounded in your knowledge base and live data
  2. Runs through your own systems via scoped API access
  3. Your policy approves every action before it executes
  4. A full audit log on every step

Live And Running

The action goes live and keeps doing the work:

  1. Handling real requests end to end
  2. Every action approved, logged and auditable
  3. Tuned as your data and processes change
  4. You keep the outcome — fewer manual tickets

AI implementation timeline

We combine leading commercial AI platforms with flexible open-source tools to create the right solution for your business needs

/ WEEK 1 /

Discovery

Uncover opportunities by understanding your business

  • Initial consultation to understand your needs
  • Review your systems and data
  • Identify AI opportunities
  • Create preliminary solution design
/ WEEK 2-3 /

Planning

Define the roadmap, architecture, and success metrics

  • Develop detailed solution architecture
  • Define implementation roadmap
  • Set success metrics
  • Plan resource allocation
/ WEEK 4-6 /

Initial build

Build and integrate core AI with focus on performance and security

  • Develop core AI functionality
  • Integrate with your existing systems
  • Test security and performance
  • Begin user training
/ WEEK 7-8 /

Refinement

Enhance functionality, optimize results, and train users

  • Deploy additional capabilities
  • Optimize performance
  • Conduct advanced user training
  • Measure against baseline metrics
/ WEEK 9-10 /

Final Delivery

Validate, document, hand over to your team, and plan what comes next

  • Complete system validation
  • Finalize documentation
  • Transfer knowledge to your team
  • Plan future enhancements