Connect your internal systems to secure AI workflows
Wikilect is a controlled AI coworker platform for company teams. It combines approved knowledge sources, role-based access, and workflow orchestration so employees can produce practical outcomes: summaries, documents, reports, support responses, and operational actions.
Customer-controlled access
Connected data is accessed only after explicit consent.
Scheduling and coordination across connected calendar tools
Knowledge search across approved internal sources
Document drafting and summarization workflows
CRM, support, and operations automation with human approval
Integrations and permissions
Each permission maps to a visible user feature
Wikilect requests the narrowest access rights required for enabled workflows and approved integrations. Customers can disconnect integrations from the product at any time.
Calendars and meeting systems
Used to check availability, schedule events, and keep approved coordination workflows in sync.
Documents and knowledge sources
Used to access customer-approved files and portals for search, drafting, and process execution.
Spreadsheets and reporting data
Used to read and update approved datasets for reporting, enrichment, and operational workflows.
CRM, support, and messaging tools
Used only for approved communication and service workflows, including drafting, sending, and analysis.
Role-based outcomes
Useful across business functions, not just one department
Beyond document search, Wikilect helps teams produce approved deliverables inside daily business workflows while preserving access boundaries for each role.
Leadership, operations, and support
Teams use Wikilect to prepare management summaries, run standard operating procedures, and respond faster with approved instructions and customer context.
Marketing, sales, and customer communication
Agents draft campaign materials, meeting prep notes, follow-up messages, and customer-facing documents using approved company sources.
Engineering, analytics, and product teams
Wikilect helps teams navigate architecture docs, internal APIs, metric definitions, and historical decisions to produce code, reports, and technical briefs faster.
Implementation path
Roll out in stages and scale what works
Teams start with a fast onboarding phase, launch practical use cases, then expand into deeper automations and integrations based on real adoption data.
1. Fast knowledge onboarding
Initial company materials are connected so the agent can answer with your policies, standards, and process context from day one.
2. Guided team launch
Teams start with practical workflows for daily work: question answering, document preparation, reporting, and operational coordination.
3. Expansion with integrations
After early usage data is collected, workflows are expanded with deeper CRM, ERP, support, and service integrations for high-impact scenarios.
Workflow orchestration
WikiFlow adds a control layer for AI scenarios
For organizations running multiple channels and processes, WikiFlow keeps scenario logic reusable, governable, and easier to evolve without rebuilding every integration path.
One scenario, multiple channels
The same automation logic can be reused across chat surfaces, webhooks, and internal entry points without rebuilding each flow from scratch.
Centralized orchestration
Business teams and admins manage AI logic, integrations, and transitions between steps in one controlled environment.
Designed for complex AI workflows
Useful when workflows require context switching, tool usage, and multi-step decision paths rather than single prompt responses.
Deployment options
Choose the environment that matches policy requirements
Wikilect supports both rapid cloud rollout and strict on-premise deployment, so teams can balance delivery speed, governance, and infrastructure strategy.
Cloud deployment
Fastest time to value for teams that want quick rollout, minimal infrastructure overhead, and elastic scaling.
On-premise deployment
Preferred by organizations that require strict data locality, internal security controls, and controlled update procedures.