Speed up your Salesforce development with AI agents. The agent takes over the routine work, drawing on our experience and your conventions. Your team makes the call at three checkpoints and stays accountable for the result.
Delivery Lead, Qest
Hub Leader, Qest
A solution fitted to your environment, your conventions and your code.
Built on our conventions and hundreds of comments from real code reviews – not on a model’s generic training.
Code documentation always follows the same structure. The agent never leaves documentation for later.
Defined steps are always confirmed by a human. Automatic deployment to production is blocked.
The solution learns from its own mistakes and proposes updates to its skills or the project knowledge base.
Connected to monitoring that spots trends and deviations in model performance before you notice them yourself.
Token-saving tools cut consumption by 40% with no loss in output quality.
Building a skill once isn’t enough. We make sure it keeps working after every new LLM and Salesforce release. Our approach follows Anthropic’s reference practice for AI-native development.
We start with a 90-day pilot on your real Salesforce backlog.
Enehano ADLC (Agentic Development Life Cycle) is the third level of using AI in development: after ad-hoc chat and individual skills comes a multi-agent system with a division of labour, built-in quality control and the ability to improve itself. The process has four phases and three approval gates where a human makes the decision.
No. AI does the work, senior people make the key decisions. Design, plan and code review are always approved by a human, and the approver is accountable for whatever gets deployed.
We do everything we can to prevent it. All our tools have training on your data switched off, data never leaves the client’s environment, and only a human can deploy to production.
Our skills evolve with our project experience, developments in AI and new Salesforce releases. We expect four updates a year.
Primarily Anthropic’s Claude, secondarily Codex. We don’t support GitHub Copilot at the moment – not as a matter of principle, we just haven’t built it yet.
Business Unit Leader
