AI without the overhead

We build AI solutions that integrate seamlessly into your business—no full-time hires needed.

Leverage Existing AI Tools

Built for Executive Teams

AI that works for your business

AI isn’t just about chatbots. It’s about brand new workflows that make your business smarter, more efficient, and more profitable.

At Common Forge, we specialize in rapid AI deployment—leveraging proven tools, templates, and models to create practical, high-impact AI solutions without the overhead of a full-time software team. Our solutions go beyond experimentation, orchestrating LLMs and automation workflows to streamline decision-making, optimize operations, and deliver real business results.

HOW WE BUILD

A clear path to real value

Step 1

Define a Single Business Problem & Build a Rapid Prototype

Identify one high-impact, narrow problem where AI could help.
Build an ugly but functional prototype-fast. No perfection, just proof
Test with real data to see if AI provides meaningful insights or automation.

Key Questions: Does AI make this task faster, easier, or more accurate? Does it do something that we couldn’t previously do?

Example: A sales team struggles with lead scoring. We build an AI-native workflow that uses the OpenAI API inside Clay and structured prompts to rank leads based on historical conversion rates and website scraping.

Step 2

Expand Prototype & Validate ROI

Deploy to multiple users or across larger datasets.
Stress test the model-identify edge cases, bad predictions, or data issues.
Collect feedback from users to assess usability and adoption.
Measure ROI: Does this tool save time, reduce errors, or create new insights?

Key Questions: Can more than one person use this tool effectively to solve problems? Is the value created by the new tool quantifiable in any way?

Example: The AI lead-scoring model expands from one salesperson to the entire sales team. If it improves lead conversion by 20%, we move forward.

Step 3

Architect & Build a Production-Ready AI Tool or Workflow

Refine the tool or workflow architecture based on previously gathered data.
Integrate AI into existing enterprise tools (e.g., CRM, ERP, internal dashboards).
Build a scalable, secure, and automated system.
Implement guardrails (e.g., error handling, compliance, audit logs).

Key Questions: Can this AI solution be deployed reliably at scale across the business?

Example: The AI lead-scoring tool is now fully integrated into Salesforce, automatically ranking new leads as they enter the system.

Step 4

Train Users, Iterate, and Improve

Onboard and train new users to ensure adoption.
Stress test the model—identify edge cases, bad predictions, or data issues.
Continuously collect feedback and refine based on real-world use.
Add new capabilities or optimize based on user behavior.
Establish AI governance to ensure performance, compliance, and ethical use.

Key Questions: Are people using it, and is it continuously improving business performance?

Example: The sales team gets trained on AI lead scoring, feedback shows a need for industry-specific tweaks, and the model is updated to prioritize high-value leads.

We leverage top-tier AI tools to automate and optimize your business