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Slab5 Enterprise Implementation
A focused pilot to map one business workflow into Slab5 records, permissions, REST APIs, MCP access where enabled, AgentGrid approvals, run logs, audit trails, and reporting loops.
Engagement shape
A focused implementation pilot that maps one workflow into Slab5, validates REST and MCP paths where enabled, configures AgentGrid approval and run-history patterns, and leaves behind a practical rollout plan.
Typical timeline
Typically 3-6 weeks depending on workflow complexity, integration readiness, and stakeholder availability.
Who it is for
Designed for teams with a concrete operating problem.
Operators who need AI agents and workflow runners to work through governed business records instead of side channels
Leaders who want a bounded pilot before committing to a broader operating platform or AgentGrid rollout
Deliverables
Concrete artifacts, not vague advisory output.
Workflow map, record model, module enablement, permissions, and workspace configuration
REST integration paths, MCP access design where enabled, and AgentGrid approval/run-history pattern for the selected workflow
Operational reporting, activity, task, audit, usage, and notification patterns for follow-up work
Outcomes
What this work should leave behind.
A selected workflow modeled into Slab5 workspace records, permissions, module gates, and activity/audit paths
We keep the deliverable tied to operating use: records people can own, workflows people can inspect, and technical contracts agents can use safely.
REST integration paths, MCP access decisions, and AgentGrid workflow design for applications and AI agents
We keep the deliverable tied to operating use: records people can own, workflows people can inspect, and technical contracts agents can use safely.
Reporting, run history, activity, usage, and task loops that operators can inspect
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.
Workflow engines should be job-driven
Long-running workflow engines should use queued jobs, managed workers, durable run state, retries, and observable execution history.
Approval gates are pause states
Human approval should pause workflow execution with durable state, not pretend the workflow has succeeded.
Workflow observability needs run and step state
Workflow observability needs run state, step state, logs, duration, approvals, retries, cancellations, and clear UI history.
AgentGrid is a control plane
AgentGrid should be the visible control plane for governed AI workflow execution, approvals, tools, runs, logs, retries, and schedules.
AgentGrid needs intent-based surfaces
Complex automation becomes usable when the interface is organized around user intent instead of backend implementation.
Run logs create operational trust
Run logs help operators trust AI workflows by tracing dispatch, worker activity, failures, retries, outputs, timings, and related records.
Why implementation work sharpens products
Focused implementation work exposes the permissions, records, edge cases, and handoffs a platform must support.
Service offers should be narrow enough to finish
Productized service work is more useful when scope, deliverables, timeline, and ownership are explicit.
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.