The reality
Most organizations are currently discussing or adopting AI, and although it may seem straightforward, research, industry reports, and experience indicate that they struggle.
Our solution
A structured enablement and adoption program for AI-assisted coding.
We help you use AI to elevate people, not replace them. entAI gives your organization a clear path from first pilots to organization-wide adoption of AI-assisted coding, grounded in mindset, skills, and best practices.
The good news?
Research and industry reports show that at an Enterprise level, AI is making a difference in two areas: copywriting and software development (coding).
Our focus is to take you from AI-assisted coding and team-wide adoption, to a mature AI engineering discipline that lets you use your codebase, data, and institutional knowledge to drive AI efficiencies in the business.
Who this is for
- Medium and large enterprises with multiple software engineering teams.
- Organizations already experimenting with AI assistants (GitHub Copilot, OpenAI, Claude, Cursor, etc.), but lacking governance, and consistency.
- Leaders who want to ensure structured and uniform adoption of AI-assisted coding across the organization, to increase efficiencies.
- Heads of Engineering, CIOs, CTOs, Platform teams, and Development leads who want to achieve more, without compromising security, compliance, or code quality.
What do you get? A strategy that ensures you get Mindset, Adoption, Skills, and Best practices hand in hand.
- Mindset – why we use AI
Align leaders and teams on why you’re using AI: not just for cost-cutting, but to amplify human creativity, quality, and delivery. We help you position AI as part of a future-proof organizational strategy, so people feel included rather than replaced. - AI-assisted coding in practice
Train your ambassadors and key teams in concrete AI-assisted coding workflows: prompting, refactoring, testing, documentation, and code reviews using their real tools (IDEs, CI/CD, repositories). The focus is on practical skills, safe patterns, and repeatable best practices. - Adoption across the organization
Turn early adopters into internal multipliers. We equip ambassadors to teach and support others, run their first sessions, and promote consistent usage across teams and business units, so AI doesn’t remain a siloed experiment in one or two teams. - AI engineering for your business
Prepare your platform/AI engineering function to integrate AI into your stack and workflows. We work with your technical leaders on architectures, MCP/guardrail design, and internal tooling, so AI becomes part of how you build software, not a side project. - Secure and compliant by design
Design AI adoption around your risk, security, and regulatory requirements. We help define and implement data boundaries, MCP-standardised access, and end-to-end logging, ensuring AI-assisted coding is auditable, governed, and fit for enterprise use.
Anonymized results of a major customer
The following are statistics from a major company that implemented our solution to support thousands of developers. Their coding metrics showed an immediate improvement (illustrated below) that continued to improve over time.
- Code coverage: 50% increase
- Code quality (code smells): 20% reduction (improvement) of code smells
- Time to deployment: improved by 15%
- Documentation coverage: improved by 50%
Imagine the gains in modernization, quality, productivity, and efficiency﹣taking your development and competitive capabilities to the next level.
- What would you accelerate?
- What advantage would you create?
- Which business efficiencies can you foresee?
The real risk isn’t “missing AI” – it’s adopting it with the wrong mindset, no plan, or no skills, resulting in greater inefficiency and technical debt.
Want to hear how mid- and large enterprises have implemented entAI to achieve immediate efficiency gains?
Subscription packages
Standard
for individuals
Education:
- AI Engineering
- Model Context Protocol (MCP)
Access:
- Public community
Events:
- 1 live event per month
Premium
for individuals and small organizations
Education:
- AI Engineering
- Model Context Protocol (MCP)
Access:
- Public community
Events:
- Live workshops every 2 weeks
- Networking opportunities
Support:
- Priority level
Enterprise
for medium and large companies
Workshop:
- Prepare your Ambassadors
- Build the right mindset
- Ensure structured and uniform adoption
- Equip ambassadors to champion AI best practices across the organization
Education:
- AI Engineering
- Model Context Protocol (MCP)
Access:
- Public community
- Enterprise community
- Industry experts
Events:
- Live workshops every 2 weeks
- Networking opportunities
- Quarterly full-day events with an expert
Support:
- Priority level
Pricing depends on team size and scope. In our briefing, we’ll help you see which tier makes most sense for your organization.