Accelerate delivery. Reduce risk.
AI coding assistants and autonomous engineering agents are transforming how software gets built. Teams are generating code faster, accelerating delivery cycles, and increasing developer productivity across the organization.
But as AI-generated output grows, so does the challenge of maintaining quality, security, compliance, and operational control.
The reality is that most organizations do not struggle with AI adoption. They struggle with AI governance.
At Factored, we help organizations implement AI-assisted software development safely and effectively by establishing the engineering controls, review processes, security safeguards, and governance frameworks required for production environments.
Whether you're deploying AI coding assistants, building agentic workflows, or scaling AI-enabled engineering teams, we help ensure that speed does not come at the expense of trust.
The Hidden Risks of AI-Assisted Engineering
AI-generated code often appears correct.
It runs.
It passes tests.
It comes with detailed explanations that sound authoritative.
But many of the most significant risks remain invisible until they reach production.
Common failure modes include:
Hallucinating: AI can justify the wrong answer
Models can generate technically coherent explanations for problems that do not exist, leading teams to implement unnecessary or incorrect solutions.
AI introduces new security risks
AI-generated code can introduce vulnerabilities such as SQL injection risks, improper access controls, insecure dependency management, or overly permissive configurations.
Every agent needs guardrails
Autonomous agents with access to repositories, infrastructure, or sensitive systems can execute actions that create operational risk if proper safeguards are not in place.
Protect sensitive data by design
Developers can unintentionally expose internal schemas, customer data, credentials, or proprietary information through prompts and agent interactions.
Governance proves responsible AI
Organizations often lack the visibility, traceability, and documentation needed to satisfy internal governance requirements or external regulatory frameworks.
The challenge is not whether AI can generate code.
The challenge is whether your organization can trust what gets generated.
Build production-ready AI engineering
We help engineering organizations move from AI experimentation to production-ready adoption.
Our approach combines software engineering expertise, AI implementation experience, cloud infrastructure knowledge, and governance best practices to create systems that scale safely.
Identify risk before it scales
We evaluate your current AI-assisted development workflows and identify risks across people, processes, tooling, and infrastructure.
Areas assessed include:
- AI coding assistant usage
- Agentic workflows
- Security controls
- Code review processes
- Data handling practices
- Infrastructure permissions
- Auditability and compliance readiness
The outcome is a prioritized roadmap for improving governance while maintaining development velocity.
Build Production Readiness Frameworks
Factored helps organizations establish clear standards for AI-generated code and AI-enabled engineering workflows.
We define:
- Risk classification frameworks
- Review requirements by system criticality
- Approval workflows
- Testing standards
- Security validation processes
- Agent access controls
The result is a repeatable operating model that engineering teams can follow consistently.
Secure AI from code to production
AI introduces new attack surfaces and operational risks that traditional software development practices were not designed to address.
We help organizations implement controls such as:
- Secure prompt handling
- Data Loss Prevention (DLP) workflows
- Secret management policies
- Agent permission boundaries
- Infrastructure access controls
- Security scanning and monitoring
- AI-specific threat modeling
Our goal is to ensure that AI systems operate within clearly defined and enforceable boundaries.
Increase speed without sacrificing quality
Many organizations adopt AI tools without adapting the surrounding engineering processes.
This creates bottlenecks in review, testing, and deployment.
We help teams redesign development workflows to support higher levels of AI-assisted output while maintaining quality standards.
This includes:
- AI-assisted code review practices
- Automated validation pipelines
- Static analysis integration
- Evaluation frameworks
- Development lifecycle governance
- Team operating procedures
Be audit-ready from day one
Organizations operating in regulated environments need more than technical controls.
They need documented governance.
Factored helps establish traceability and accountability aligned with frameworks such as:
- ISO 42001
- NIST AI Risk Management Framework
- EU AI Act
- Internal governance requirements
- Enterprise procurement standards
We help organizations create the documentation, controls, and audit trails required to demonstrate responsible AI adoption.
Governance accelerates innovation
We believe AI governance should enable innovation, not slow it down.
The most effective organizations are not the ones that restrict AI usage.
They are the ones that create systems that allow teams to move quickly with confidence.
Our approach focuses on three principles:
Verify before you deploy
AI-generated output should be treated as a starting point, not a final answer.
We help teams establish verification processes that ensure technical claims, security assumptions, and implementation decisions are validated before deployment.
Scale Through Standardization
Governance should not depend on individual developer judgment.
We create repeatable frameworks that can be applied consistently across teams, projects, and environments.
Design for Production from Day One
AI governance is most effective when it is embedded directly into engineering workflows, infrastructure, and operational processes rather than added as an afterthought.
Built for enterprise AI teams
We partner with organizations that are:
- Scaling AI-assisted software development
- Deploying coding assistants across engineering teams
- Building agentic engineering workflows
- Operating in regulated industries
- Managing sensitive customer data
- Modernizing software delivery practices
- Establishing enterprise AI governance programs
Whether you're beginning your AI adoption journey or looking to mature existing practices, we help create the foundation for long-term success.
Deep engineering. Proven AI delivery.
Factored combines deep expertise in:
- AI engineering
- Software development
- Data and machine learning systems
- Cloud infrastructure
- Enterprise security
- Governance and compliance
Our team understands both sides of the challenge: how to accelerate engineering organizations with AI and how to ensure those systems remain secure, reliable, and accountable in production.
Because successful AI adoption is not just about generating more code.
It's about building the organizational capability to trust what gets shipped.
Turn AI into production software
AI-assisted development is becoming a competitive advantage.
The organizations that win will be those that combine speed with governance, innovation with accountability, and automation with trust.
Factored helps engineering leaders build the systems, controls, and operating models required to scale AI confidently in production.
Let's build an AI engineering strategy that is ready for the realities of production.
