01
Forward-deployed engineering
We embed with your team and ship working systems in weeks. No strategy deck. No lengthy discovery phase that ends with a recommendation document. Real systems in your actual workflows with your actual data.
AGIV Applied AI Labs
Most companies hand out AI licenses. Their organizations stay the same.
We embed with your team and build the production systems, organizational habits, and internal capability that make AI compounding rather than cosmetic.
What we build toward
01
forward-deployed engineering
02
champion methodology
03
compounding infrastructure
Our Customers
[The problem]
The license rollout didn't work. Here's why.
AI just made every individual 10x more productive. No company became 10x more valuable as a result.
This is the same pattern as the 1890s, when factories installed electric motors and saw almost no output gains for thirty years. The technology was superior. The organization wasn't built around it. Real returns came when factories redesigned the floor around the new technology.
Handing out AI licenses is electrifying the factory with the same floor plan. We redesign the floor.
The four things that actually make an organization AI-native: humans, agents, skills, and systems of record. Everything else is overhead. That's what we build toward.
What makes us different
We build production systems alongside your team. Then we leave infrastructure that keeps building.
02
Champion methodology
Top-down AI mandates stall within months. We find the employees already experimenting, equip them with skills and wins, give them visibility, and let them pull others in. Those champions keep building after we leave.
03
Compounding infrastructure
Every system we build, every data connection we wire, every skill library we deploy is designed so the second AI investment costs less than the first. Organizations we've worked with continue improving their AI capability independently after our engagement ends.
[Best fit]
Who we work with
We work with companies from 100 to 5,000+ employees across software, healthcare, fintech, and professional services.
We work best with companies that recognize one of these situations:
AI licenses went out to everyone. Nothing changed in how work gets done.
Individual employees are using AI but the institution hasn't benefited.
A backlog of routine engineering work is consuming capacity that could go toward real problems.
The engineering team wants to set an AI foundation the whole company can build on.
What we do
Six ways we help
01
Forward-deployed engineering
We build production AI systems alongside your team. Agents, knowledge retrieval, support triage, GTM automation. We choose the right architecture for each problem rather than defaulting to the most complex one.
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02
AI champion program
We identify the true believers in your organization, run structured programs that give them skills and visible wins, and build the habits and networks that sustain AI adoption after we exit.
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03
Autonomous engineering
From coding agent deployment to Level 3 autonomous loops. We deploy AI coding tools effectively across your org and build the sandbox, security boundaries, and CI integration for agents that write code, run tests, and merge autonomously.
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04
AI evals
Measuring whether your AI systems actually work at scale. We design evaluation frameworks, set up CI/CD monitoring, build LLM judges for your specific use cases, and help you understand what your agents will do before your customers find out the hard way.
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05
Agentic GTM
Research-driven, personalized outreach using AI agents. Built for sales and GTM teams that value high-value contacts and accounts over spray and pray volume.
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06
AI enablement as a service
A dedicated engineer on retainer who ships working systems, not recommendations. Monthly cadence. Ongoing capability growth.
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Where to start
Most engagements start with a discovery conversation. We map your current state, identify where AI can produce real output, and outline what an engagement would deliver.