Teams that need a quick path from AI workflow idea to working integration plan
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AI + Data Integration Sprint
Connect Slab5, operational systems, APIs, webhooks, credentials, MCP access, AgentGrid workflows, and data platforms around one use case.
Engagement shape
A short sprint that identifies the records, APIs, credentials, webhooks, MCP decisions, AgentGrid steps, and data paths needed for one useful AI-assisted workflow.
Typical timeline
Typically 1-3 weeks with a deliberately narrow workflow and clear technical owner.
Who it is for
Designed for teams with a concrete operating problem.
Companies connecting Slab5 with existing CRM, support, CMS, warehouse, webhook, or automation systems
Operators who need to test one agent-assisted workflow without overcommitting scope
Deliverables
Concrete artifacts, not vague advisory output.
Integration map across Slab5, source systems, API keys, webhooks, MCP clients, and data platforms
Working prototype or technical path for selected records, AgentGrid steps, approvals, and agent actions
Risk register, scope decisions, and next-step backlog
Outcomes
What this work should leave behind.
A bounded integration plan across Slab5, data platforms, webhooks, credentials, and operational systems
We keep the deliverable tied to operating use: records people can own, workflows people can inspect, and technical contracts agents can use safely.
Working API paths and AgentGrid/MCP decisions for selected records and agent actions
We keep the deliverable tied to operating use: records people can own, workflows people can inspect, and technical contracts agents can use safely.
A short list of platform gaps, risks, scope decisions, and next implementation steps
We keep the deliverable tied to operating use: records people can own, workflows people can inspect, and technical contracts agents can use safely.
Related Lab Notes
Relevant thinking from the platform work.
Dogfooding the company website
This site is built to read content from Slab5 CMS and route inquiries into Slab5 CRM, activity, and tasks.
REST and MCP over one workspace
A design note on why applications and agents should operate over the same permissioned business records.
AI-ready data foundations
Connect warehouses, metrics, and operational records so AI agents and operators can use trustworthy business context.
Integration sprints should end with decisions
A useful integration sprint clarifies records, APIs, credentials, webhooks, risks, data paths, and the next implementation decision.
AI operations start with permissions
Before AI agents change business state, teams need scoped credentials, validations, approvals, tool allowlists, run logs, and audit trails.
Data platforms need operating context
Why data warehouses and pipelines become more useful when connected to operational business records, workflows, ownership, and decisions.
Slab5 beta
Give your business workflows a governed operating layer.
Start with one real operating flow: records, REST APIs, MCP access where enabled, AgentGrid approvals, audit logs, and the context business operators need to trust the work.