AI has dramatically increased coding speed, but engineering organizations still struggle to turn individual gains into consistent team velocity. Tikal’s Agentic SDLC Factory builds a governed engineering system that connects teams, AI agents, shared context, verification, and continuous learning across the software development lifecycle.
The Agentic SDLC Factory is Tikal’s tailored engineering solution for scaling AI across your organization. Built on our Twelve Factor Agentic SDLC methodology, it creates a shared operating model for turning product intent into governed execution, verification, delivery, and continuous improvement across engineering teams. The transformation begins with the Agentic SDLC Launchpad, where selected teams adopt the methodology and establish the first shared workflows, context, directives, and execution patterns. From there, these foundations expand into a broader Factory across the engineering organization.
The Factory works across your existing engineering environment, including issue trackers, Git repositories, IDEs, coding agents, LLM gateways, observability tools, containers, CI/CD, and cloud infrastructure. At its core is the team ai directives repository, the organization’s Shared Brain, where rules, context, examples, skills, and evals are versioned and shared across teams.
A governed Agentic engineering system that scales across teams without losing quality or control.
Developers direct AI execution while retaining ownership of architecture, quality, and final delivery.
Connect product decisions, specifications, execution, verification, review, and deployment in one structured flow.
Turn rules, architecture, examples, skills, and knowledge into reusable assets shared across teams.
Use the right level of autonomy for each task with verification, quality gates, and human approval.
Combine deterministic checks, evals, and human judgment before AI generated code reaches production.
Turn recurring mistakes and successful patterns into permanent improvements across future development cycles.
The transformation begins with the Agentic SDLC Launchpad and expands into a broader Factory implementation across the organization.
We map your current workflows, AI usage, context sources, architecture, tools, and engineering practices. Together, we define the initial scope and establish a baseline.
Teams adopt the Twelve Factor Agentic SDLC methodology through customized workshops and hands on work with real code, while establishing the Shared Brain through the team ai directives repository, along with the initial skills and execution patterns.
A dedicated Tikal transformation squad works alongside your teams to build the skills, pipelines, harnesses, verification loops, and integrations required to make the Factory operational across day to day delivery.
We measure progress, transfer ownership to your internal AI leaders, and expand the Factory across additional teams, workflows, and use cases.
The result is a turnkey transformation model that delivers measurable outcomes without disrupting your engineering roadmap.
Ready to scale?
Let’s build your Agentic SDLC Factory around the way your organization works.
