AI workspace for Australian SMEs.
Springlab AI Workspace is a pilot operating layer that connects advisory chat, document review, knowledge sources, business-app context, and governance controls so teams can move from AI roadmap to daily execution.
Workspace turns the approved roadmap into connected workflows, governed prompts, reusable knowledge, and action-ready outputs.
6 AI agents. 6 business problems solved.
Purpose-built agents embedded in the Springlab AI Command Centre, each mapped to a real operational problem for Australian SMEs.
Lead to Payment CRM Agent
Tracks every deal from first contact to closed payment so pipeline, invoice, and collections signals are visible in one place.
02Marketing Advisor Agent
Turns SEO/AEO findings, competitor signals, and campaign notes into practical recommendations for the next marketing action.
03AI Detector Agent
Reviews AI-generated content risk across communications, hiring, learning, and review workflows where authenticity matters.
04Learning & Support Agent
Answers staff questions from approved knowledge, policies, playbooks, and training sources to reduce repeated support load.
05Lookup Agent
Finds answers across internal drives, websites, FAQs, and knowledge notes with source-aware responses staff can trust.
06Data to Signal Agent
Transforms CRM, finance, support, and adoption data into signals leaders can use for decisions, reviews, and board updates.
All agents are positioned as pilot-preview capabilities and can be shaped for selected clients during implementation.
The platform gives the sprint somewhere to land.
The AI Adoption Sprint decides what to do. The workspace helps teams execute the roadmap with guardrails, business context, and reusable operating patterns.
Connect applications. Get actionable intelligence.
Agents can work with CRM, finance, support, knowledge, and document signals so teams get recommendations tied to real operational context.
Flexible deployment direction.
The product direction supports selected-client pilots, with room for SaaS or controlled deployment models depending on governance needs.
Governance-first. No unmanaged AI sprawl.
Provider settings, activity history, workflow controls, and audit-friendly patterns keep the platform aligned to SME risk appetite.
From chat to governed execution.
AI advisory chat
Guidance, rewrite, translation, bilingual responses, and knowledge-grounded answers.
02Document review
Single and batch review workflows for QA, compliance, customer response, and review queues.
03Knowledge workspace
FAQs, files, websites, Google Drive, OneDrive, SharePoint, and source-aware answers.
04Business-app context
CRM, finance, and support signals that can be sent into chat for clearer next actions.
05Governance workspace
Provider settings, audit history, activity, rollout controls, and workflow oversight.
Want to move from AI roadmap to AI workspace?
Join the pilot conversation if you want Springlab AI to help your team operationalise adoption after the sprint.