Custom AI agents
Agents that read documents, call your APIs, and complete multi-step work, with the guardrails and logging that production needs.
Not every problem lives in Salesforce. We build AI agents, LLM integrations, and Azure infrastructure for the rest of your stack, with the same engineering standards we bring to enterprise Salesforce work.
AI Solutions
LLM integrations
Claude or OpenAI inside the apps you already run: summarization, classification, extraction, and search, with evaluation so results stay consistent.
MCP servers and tools
Model Context Protocol servers that give AI assistants safe, scoped access to your systems, data, and internal tools.
Workflow and document automation
Intake, routing, and document processing that turn emails, PDFs, and forms into structured data and finished tasks.
AI code review and dev tooling
Automated code review inside your pipeline, plus internal tools that help developers ship faster and with fewer defects.
Our own product
ForceClaw
An AI Salesforce developer agent for Slack, built with the same practices we bring to client work.
Learn about ForceClawMicrosoft Azure
Azure and Microsoft 365 work, often alongside a Salesforce org.
File archival and large-scale migration
Offload Salesforce file storage to Azure Blob Storage with resumable, verified migration pipelines and scheduled backups, so nothing goes missing along the way.
Custom apps on Azure App Service
React and Express applications on Azure App Service, using Managed Identity so credentials stay out of code.
Microsoft Entra ID
App registrations, OAuth, and single sign-on across Salesforce, Microsoft 365, and your custom applications.
SharePoint Online and Microsoft 365
Integrations and migrations such as Box to SharePoint, with Files Connect so users browse and attach SharePoint files directly in Salesforce.
Azure DevOps
Build and release pipelines with secrets kept in secure stores such as Azure Key Vault, never in repositories.
Compliance-ready documentation
Retention, backup, and data integrity controls documented clearly for your quality and audit teams.
How We Engage
Workshop
A working session to map the problem, the data, and the systems involved, and agree on what success looks like.
Prototype
A small working version on real data, so you can judge the results before committing further.
Production
Hardening, security review, monitoring, and documentation, then rollout and handover to your team.
Have an AI or Azure Project in Mind?
Tell us what you are trying to automate or move, and we will tell you how we would approach it.
Talk to us