Become an AI-first company by disseminating the principles, frameworks, and tools necessary for AI fluency. Our team of certified AI Product Managers, PhD Engineers, and AI Strategists will use our proven process to make AI actionable and practical for your company.
We build custom AI systems that deliver measurable ROI for established companies. Production-grade solutions built by engineers who've shipped 150+ AI projects. Purpose-built systems around your data, your workflows, and your team.
Employees trained on AI tools save an average of one hour daily on routine and administrative tasks.
We test the latest tools against your actual workflows so your team adopts what works, not what's trending.
Every training session, governance policy, and framework is built around your industry, your data, and your team's skill level.
Give your employees the education they need to build for the next generation of work.
Topics such as prompt engineering, multi-agent orchestration, and vector databases create the baseline knowledge necessary for your team to effectively evaluate AI tooling options and maximize their efficiency.
Every day, there’s a new AI tool available, but as leaders, you don’t have time to test every new option on the market. That’s why we do it for you and select those that are most relevant to your use case.
We believe every AI project should start with clear KPIs for contributing to operational efficiency. That’s why we begin with operational bottleneck audits, workflow prioritization, and technical implementation plans.
Although we’ve implemented AI solutions for hundreds of companies, we know that every business has its own unique procedures, priorities and goals. That’s why we believe in beginning every engagement by understanding where you’re coming from.
Whether it’s one department with a few team members or thousands of employees for a company-wide event, we adapt to meet the moment necessary to equip your team with the right AI education.
Our experience isn’t just about teaching, it’s also about helping employees implement what they learn, overcome technical blockers, and make the most of their available options. We’re with you every step of the way, from choosing between OpenClaw and Claude Code to troubleshooting a broken AI agent.
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Our process starts with connecting you to our leaders, who have built over 150 projects. If aligned, the second call will include our Product Managers and Engineers to scope the project. The final step is a proposal presentation.
We start by immersing ourselves in your business, industry, and existing software. We then build a functional proof-of-concept to validate the technical feasibility. This hands-on planning process arms you with a clear architectural blueprint and a precise technical implementation roadmap for the next phase.
Production-grade AI software, built in your infrastructure, with real-time visibility into every task. No prototypes, no maybe's. Just code that delivers testable ROI. We trademarked Full Transparency Development ™ , so you’re never left in the dark.
Go live, measure results, and scale AI across your organization at a predictable cost. We build with the right guardrails and measure KPIs on real results. We train your team to operate and manage what we developed, or we can provide ongoing maintenance and support.
The most impressive thing was their versatility and breadth of knowledge about our industry.
Thanks to 923, we've dramatically increased throughput and reduced manual errors.
The 923 team was fantastic to work with and taught me a lot about ML and AI.
Strategy produces a roadmap and financial model for what to build. Consulting trains your team to understand, evaluate, and use AI tools themselves. Strategy tells you where to go; consulting makes sure your people can get there.
No. We run sessions for executives, department leads, and individual contributors. We adapt the depth and content to whoever is in the room.
Prompt engineering, AI tool evaluation, multi-agent orchestration, vector databases, and responsible AI governance. We tailor the curriculum to your industry and your team's current skill level.
Yes. We draft an Acceptable Use Policy covering data privacy, client confidentiality, and intellectual property so your team has clear rules for using AI tools at work.
4 to 8 weeks for most companies, depending on team size and how many departments are involved.
Trained team members, a governance policy, workflow templates, a prioritized list of AI tools tested against your use cases, and a playbook your team can keep using after the engagement ends.
Build a new platform, or add AI capabilities to existing software, we deliver solutions that work in real operational environments.
Meet with founders Andrew Amann & Pavel Kirillov
Custom AI implementation roadmap
No sales pressure
