Shikha Labs helps organizations move from scattered AI experiments to governed operating systems. With Slab5, teams can connect records, workflows, approvals, analytics, REST APIs, MCP tools, and agent actions inside one controlled workspace.
For heads of AI, innovation, operations, and platform teams who need visibility and control over AI experiments spreading across departments.
AI Operations Control Plane
Deploy Slab5 as the governed layer where AI pilots, agents, workflows, approvals, and audit trails become visible to the leaders responsible for enterprise AI adoption.
What we deliver
Slab5 workspace configured as the operating control layer for AI workflows
Workspace-scoped permissions, approval gates, run logs, request correlation, and audit trails
Mission-control style views for active workflows, agent actions, exceptions, and follow-up work
Business outcome
AI leaders can see what agents are doing and which workflows require human approval
Teams get a governed path for AI work instead of unmanaged scripts and disconnected pilots
Operational records, approvals, API calls, and agent activity become inspectable
For healthcare, fintech, insurance, government supplier, and enterprise teams that need AI assistance without bypassing security review or operational controls.
Governed Agent Enablement
Design and implement agent workflows that can operate inside security-sensitive or regulated environments with scoped access, approvals, and audit-ready records.
What we deliver
Tenant and workspace isolation patterns for agent-facing workflows
Scoped permissions, tool boundaries, approval gates, run logs, and request correlation
Security-review-ready documentation for how agents read, write, escalate, and leave audit evidence
Business outcome
AI agents can support real work while staying inside defined permissions
Human reviewers can inspect actions, inputs, outputs, approvals, and exceptions
Teams get a practical governance posture for expanding agent use cases
For organizations with valuable operations trapped across older systems that need modernization without a high-risk big-bang replacement.
Legacy Systems and Data Unification
Use Slab5 as a unifying governed operating layer across fragmented systems, data sources, spreadsheets, CRM tools, support queues, content systems, and reporting databases.
What we deliver
System and data inventory for the selected operating flow
Unified records, APIs, integration paths, and permissioned data access in Slab5
Data cleanup, metrics definitions, and analytics foundations for operators and agents
Business outcome
Teams modernize one operating flow at a time instead of replacing everything at once
AI agents and applications can use shared, permissioned business context
Legacy data becomes part of a governed workflow rather than a disconnected archive
For support, customer success, and internal service teams with high ticket volume, fragmented knowledge, and inconsistent handoffs.
Enterprise Knowledge and Support Automation
Build governed support and knowledge workflows for ticket triage, response drafting, knowledge updates, escalation, handoff, and operational reporting.
What we deliver
Support and knowledge workflow design across tickets, CRM context, CMS records, tasks, and activity
Agent-assisted summaries, routing, response drafts, and knowledge-base update paths
Human handoff, approval, response-time, deflection, cost, and follow-up measurement patterns
Business outcome
Support and knowledge operations become faster, more consistent, and easier to inspect
Agents can assist without losing escalation paths or approval controls
Leaders can connect response quality, deflection, cost, and follow-up work to operating records
For department leaders in sales operations, support, marketing operations, customer success, analytics, compliance operations, or internal services.
Department AI Transformation Sprint
Land one department deployment around a measurable operational pain, prove the Slab5 operating model, and create a path to expand across the organization.
What we deliver
One workflow selected and mapped with current process, owners, systems, and success measures
Slab5 workspace configuration, required integrations, AI-agent role definition, approvals, and task handoffs
Expansion roadmap for adjacent workflows, teams, data sources, and governance needs
Business outcome
A contained department deployment proves ROI before a broader enterprise rollout
The organization gets a concrete AI-native workflow instead of another abstract strategy
Operational lessons become reusable implementation patterns
For platform, product, and engineering teams that need existing applications, automation, and AI tools to share business context safely.
REST + MCP Integration Layer
Give applications and AI agents governed access to the same business resources through REST APIs, MCP tools where enabled, request logs, and workspace-scoped permissions.
What we deliver
REST API integration design for applications, internal tools, and existing systems
MCP access patterns where enabled, workspace-scoped tokens, tool boundaries, and connector guidance
Request logging, idempotency, webhooks, audit trails, and external system handoff patterns
Business outcome
Applications, operators, and agents interact with business records through governed interfaces
Teams avoid disconnected scripts and brittle automations around critical workflows
Developers get a practical integration layer for AI-native business operations
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.
