Springuru: AIforce Full Stack | One Governed Agent Across Claude, Slack & Agentforce

Data 360 (identity resolution, data explorer, calculated insights, semantic model, data library / hybrid search) · Agentforce (service agent and Agentforce Coworker rep copilot) · Flow · Prompt Builder (flex prompt templates) · Einstein Trust Layer (PII masking, prompt injection detection, zero data retention) · Knowledge articles · Claude via Headless 360 / Data 360 MCP server · Slack / Slackbot · MuleSoft Agent Fabric (registry, broker, governance, kill switch) · Testing Center · Agentforce Analytics · Permission sets Outcomes: Clean identity: one E164 mapping fix merged duplicates, 56 profiles became 49, with no records edited. Safe rep briefs: the copilot briefs reps on a customer while the trust layer masks PII, so the model never sees private data. Deterministic money decisions: the LLM converses but a flow decides. A $60 refund is approved instantly, and $180 escalates to a human as a high-priority task. Grounded answers: policy answers come from your own knowledge articles with citations. Update the policy and the agent follows, with no redeploy. One agent, every surface: the same governed agent answers in Claude, Slack, and Agentforce, with one permission set and one security model. Observable and governed: Testing Center caught a verification gap before a customer did, and deflection climbed to 66% as instructions improved.