For engineering & platform teams
Agentic tools can plan, code, test, and open pull requests on their own. That's powerful and risky. We train your team to design agentic workflows with the right human checkpoints, guardrails, and governance — so you get the speed without shipping unreviewed, unsafe output.
The goal isn't more autonomy — it's controlled autonomy your reviewers and security team can stand behind.
Judge where agentic automation fits in your SDLC and where it doesn't.
Multi-step flows — plan, implement, test, review — with checkpoints in the right places.
Keep agent scope and blast radius controlled.
Test and review agent-generated changes rather than rubber-stamping them.
Satisfy security and compliance with a record of what ran and why.
Know whether agentic workflows actually improve throughput and quality.
Modular and customized to your stack and maturity. A typical build:
Assistant vs. agent vs. autonomous; levels of autonomy; where each belongs in the lifecycle.
Copilot agent mode, coding agents, and orchestration — how to evaluate tools for your environment.
Breaking work into agent-appropriate tasks with explicit human checkpoints.
Scoping permissions, controlling blast radius, and placing review gates.
Testing strategies, review standards, and red flags at scale.
Policy framework, secure-by-default patterns, and an audit trail for agentic pipelines.
Rollout playbook, champions model, and metrics that show real lift.
Designing and orchestrating agents for your internal platforms and tools.
Deop consultants run agentic workflows on live delivery — you learn what holds up in production.
Safety, review, and audit are core, not afterthoughts — the reason regulated teams can say yes.
Labs in your stack so the workflows transfer immediately.
Built for public-sector and regulated contexts.
Delivered an 8-week GitHub and DevOps governance assessment for an enterprise fintech — reviewing 476 repositories and roughly 2,000 CI/CD pipelines across 290 Azure DevOps seats — and designed a security and audit remediation plan, including a GitHub Advanced Security proof-of-concept.
Is this tied to a specific tool?
No. We're grounded in the tools you use, including GitHub Copilot agent mode, but the workflow, guardrail, and governance principles carry across tools.
Isn't full autonomy the goal?
No — controlled autonomy is. The program is about getting speed while keeping review and accountability intact.
Do we need to be an advanced team already?
No, but teams get the most value once they've done some AI-assisted coding. We tailor depth to your maturity.
How does this satisfy security and compliance?
Governance, secure patterns, and audit trails are a dedicated module, designed so your security team can sign off.
Book a discovery call and we'll scope an agentic SDLC program around your stack, team, and governance needs.
Book a discovery call