Move from AI experiments to a controlled team workflow.
Augment Studio helps technical teams select useful AI use cases, train the people involved, and integrate AI with explicit validation criteria and guardrails.
- Targeted use casesPriorities tied to real work
- Guided practiceTraining on concrete scenarios
- Human validationChecks before deployment
From first audit to AI-ready delivery in three steps.
Fast, practical, and tailored to your team. We focus on real workflows, not abstract demos.
Audit and roadmap
Map workflows, data, and the development stack. Prioritize use cases and agree a sequenced plan.
Train and practice
Hands-on training for prompt engineering, Claude Code, Copilot, Gemini CLI, and agent workflows.
Integrate and ship
Build pilots together, set standards and guardrails, and embed AI into daily delivery.
Training, consulting, and technical delivery in one program.
A mix of education, coaching, and hands-on implementation that turns AI into daily leverage.
Developer training
Structured learning tracks for teams building with AI day to day.
- Core AI literacy for devs
- Hands-on labs and exercises
- Team playbooks and standards
Prompt engineering
Design prompts, evaluation loops, and guardrails that make outputs reliable.
- Prompt patterns and templates
- Evaluation and red-teaming
- Quality gates and reviews
AI developer tooling
Deep training on Claude Code, Copilot, Gemini CLI, and IDE workflows.
- IDE and CLI workflows
- Code reviews with AI
- Dev UX best practices
Agent orchestration
Design multi-agent workflows and operational guardrails with MCP.
- Agent design patterns
- MCP servers and tools
- Safe automation
Consulting and integration
We help you transform workflows and integrate AI into delivery.
- Workflow redesign
- Change management
- Team enablement
Technical delivery
Agentic coding, automation, and code/test/doc generation for production work.
- Agentic coding support
- Automation pipelines
- Code, tests, and docs
Works with the tools your team already uses
Teams that want AI in daily delivery.
From startups to enterprises, we help teams build lasting AI capability, not just one-off pilots.
Hands-on training that sticks.
Practical labs with real repos, internal codebases, and daily workflows. Learn by shipping.
Standards, governance, and quality.
Set prompt standards, code review rules, and safe rollout practices across teams.
Automate the workflow layer.
Turn selected repetitive tasks into AI-assisted workflows with explicit validation criteria.
Plan responsible rollout.
We help teams document governance, security, compliance, and change-management requirements before rollout.
How does an engagement take shape?
Essential answers about audience, scope, tools, formats, and how results are evaluated.
How does an engagement start?
It starts with the team, workflow, constraints, and desired learning or delivery outcome, followed by an agreed scope.
Is a specific AI tool required?
No single tool is required. Choices are matched to the use case, environment, policies, and objectives.
What result is guaranteed?
No performance metric is guaranteed. The engagement defines a baseline, validation criteria, review points, and expected deliverables before work begins.
Who is Augment Studio for?
Developers, technical leaders, product teams, and operations teams that need to frame a practical AI use case and organize adoption.
Can the engagement be remote?
On-site, remote, or hybrid delivery is confirmed according to objectives, team availability, and security constraints.
How do we request scoping?
Share your team, current workflow, tools, constraints, and desired outcome. Data Edge AI will then propose an appropriate next step.