Workai

The implementation of Workai is framed as a streamlined journey with guided support from the vendor, typically completed within 4–8 weeks for most clients, depending on scope and scale. Below is a step-by-step breakdown:

1. Initial Onboarding & Discovery
   You begin by accessing a demo or free trial and engaging a Workai consultant to understand your objectives. You'll determine the expected user base, key pain points (e.g., low engagement or fragmented knowledge), and desired integrations (e.g., Office 365, SharePoint).

2. Requirements Assessment & Project Planning
   Together with your internal project team—typically communications, IT, HR, and business leads—you define the information architecture, feature priorities, timeline, and success metrics. This collaborative planning ensures alignment before configuration begins.

3. Platform Configuration & Structure Setup
   Workai's team configures your tenant on the SaaS platform, setting up navigation, user permissions, branding elements, and aligning taxonomy with your organizational needs—without demanding IT resources.

4. Content & Integration Preparation
   Employees and administrators begin to craft pages, knowledge bases, social feeds, and forms using Workai’s drag-and-drop CMS. Meanwhile, integrations with systems like Office 365, SharePoint, or HR tools are configured as needed.

5. Pilot Launch & Testing Phase
   A selected group of users—often 20–100—tests the platform to provide feedback. This enables early detection of navigation issues, permission misconfigurations, or integration glitches. Workai consultants conduct training workshops to empower your pilot users.

6. Iterate & Refine
   Based on pilot feedback, iterative refinements to content structure, user roles, and configurations are made to ensure a smooth rollout experience.

7. Full Launch & User Engagement Activities
   Once refined, the platform is launched enterprise-wide. Workai supports launch communication—workshops, webinars, emails, and promotional assets—to generate momentum and user buy-in. Launch typically occurs around 4–8 weeks after project kickoff.

8. Ongoing Updates & Continuous Improvement
   Workai manages all platform hosting, maintenance, updates, and backups. Post-launch support includes monthly improvements and occasional post-launch workshops to sustain engagement, behavior adoption, and support future scaling.

This efficient process reflects Workai’s out-of-the-box SaaS nature, requiring minimal technical overhead and relying instead on structured guidance, user workshops, and phased deployment to ensure a smooth, user-friendly adoption.

Workai offers extensive customization options to adapt to unique organizational needs:

• Modular Product Suite: Driven by eight core products (Intranet, Connections, Knowledge, Forms, Mobile, Spaces, Intelligence, and Learning), Workai lets organizations deploy only the modules they need and expand over time.

• No-Code CMS: Its drag-and-drop editor supports 200+ layout blocks and 60 content types, enabling tailored pages, intranet hubs, knowledge resources, and training modules without developer involvement.

• Information Architecture Configuration: Admins can fully customize hierarchical structures—navigation headers, subpages, anchors, tag categories, metadata taxonomies, and versioning schemes—to reflect organizational needs.

• Permission & Access Control: User and group access levels, license assignments, Azure AD integration, and granular permissions ensure that internal, external, and hybrid teams only see the content relevant to their roles.

• Custom Forms & Workflows: The Forms module supports building bespoke surveys and data collections with custom fields, workflows, reporting rules, and external system connections.

• AI Configuration: Organizations can define prompt styles, AI summary preferences, translation pairings, and repurposing formats, aligning output tone and format with corporate brand and internal use cases.

• Learning Paths & Virtual Trainers: In the Learning module, admins can craft personalized learning journeys, assign virtual AI trainers, and leverage predictive analytics to align training to employee roles and performance metrics.

• Hybrid Workspace Management: Spaces module allows configuration of room types, resources, booking rules, access control integrations (e.g., HID), roster permissions, and user scheduling constraints.

• Enterprise Branding & Localization: The platform supports custom branding, multilingual content (LTR and RTL, including Arabic), and AI-assisted translation—ensuring global consistency and localized UX.

• API & Third-Party Integrations: Workai integrates with Azure AD/Entra, Office 365, SharePoint, email/calendar systems, social media (Facebook, Twitter, Instagram), recruitment APIs (Elevato, eRecruiter), and video platforms (YouTube, Vimeo).

• Tailored Deployment Models: Organizations can opt for cloud-hosted SaaS or dedicated Azure environments, allowing custom security settings, performance configurations, and compliance controls.

These extensive customization capabilities allow Workai to be tailored to diverse business contexts, supporting tailored employee communications, data flows, governance models, AI behaviors, branching learning paths, and global deployments.

While Workai’s core pricing is user-based, enterprise-level deployments include a range of optional additional services:

• Setup Fees: For larger organizations (e.g., over 500 employees) or those deploying custom features, integrations, private cloud, or on-prem environments, Workai offers a dedicated deployment plan and may charge setup fees for configuration and bespoke requirements.

• Dedicated Hosting: You can opt for dedicated Azure hosting or on-prem installations—these carry additional infrastructure and operational costs separate from standard SaaS licensing.

• Dedicated Account Manager & Premium SLA: Enterprise clients can receive a named account manager and premium support SLAs, which include faster response times and guaranteed resolution metrics.

• Custom Feature Development: Workai supports custom modules and external system integrations. Building and deploying these will incur additional development costs.

• Volume Discounts: Large-scale deployments may qualify for tiered pricing discounts—making pricing competitive for high-user-count organizations.

Workai provides several layers of training and support for effective onboarding and continued adoption:

• Help Center & Documentation: Comprehensive user manuals cover everything from tenant setup, licensing, and CMS usage to AI tools and admin configurations.

• Workshops (Third-Party Specialists): Partners like Infinity Group deliver expert-led Workai Workshops, offering tailored, organization-specific training, real-world use case insights, and ongoing guidance via help desks and video tutorials.

• First-Level Support & SLAs: With premium plans, organizations gain SLA-backed support, including fast issue resolution and direct assistance from support engineers.

• Learning Module: The built-in Learning system features guided onboarding paths, quizzes, course tracking, personalized learning journeys, and gamification to build internal knowledge and usage confidence.

Workai implements robust security safeguards, measured by recognized standards:

• ISO 27001 Certified: Achieved ISO 27001 certification in 2023—a globally recognized standard for information security—based on a mature Information Security Management System (ISMS), including risk assessment, mitigation, and continual improvement processes.

• GDPR & Privacy Compliance: Implements data protection controls aligned with GDPR, including encryption, role-based access, and data handling standards.

• ISMS Management Structure: The organization maintains designated Information Security and Data Protection Officers who oversee security protocols, contractual security clauses, and physical/infrastructure safeguards.

• Infrastructure Safeguards: Provides configurable security settings at the tenant level, protection across data transit/storage, secure network links, and physical asset protections.

• Contractual Security Measures: Embeds security requirements in partner/vendor contracts, conducts regular audits, and avoids single-point-of-failure architectures.

• Disaster Recovery & Business Continuity: Includes risk plans and disaster recovery protocols to ensure resilience and uptime.

These insights on additional costs, training support, and security protocols equip you to evaluate Workai’s suitability for enterprise deployment with clarity and confidence.

Workai adopts a quarterly release cycle, sharing detailed “Product Update” posts roughly every three months (e.g., Q1 2025, Q2 2024, Q3 2023) that highlight new AI functionalities, UX improvements, analytics enhancements, and mobile optimizations. Updates are automatically rolled out to all tenants via the SaaS model, ensuring teams receive new capabilities without manual intervention or downtime. Each update includes release notes and the expected time-to-version availability, enabling administrators to plan user training or feature deployment in conjunction with the update schedule.

Workai maintains that enterprise clients (“Controllers”) retain full ownership of all data uploaded and managed on the platform. Its Data Processing Agreement (DPA) confirms that Workai (as the “Processor”) handles personal data strictly on behalf of clients and only processes data as directed, in compliance with GDPR.

• Clients can request export or deletion of their data at any time, either by deactivating their tenant or via a formal data export request.
• The DPA also ensures that Workai will notify clients before updating any privacy or processing clauses, subject to the client's termination rights if they disagree.

This transparent policy ensures that organizations retain control over their data and can securely migrate or remove it as needed.

Workai’s user-based, flexible licensing model allows organizations to scale usage monthly, adding or removing seats as team sizes and requirements evolve.

• Pricing begins at approximately €1.29 per user/month, with volume-based discounts applied at higher tiers.

• The platform supports a freemium and free trial version, allowing organizations to test smaller teams before fully committing.

• Monthly billing and licensing flexibility mean expanding user seats, enabling additional modules, or scaling back is done easily via the admin portal—no long-term contracts or seat minimums required.

This model ensures affordability, adaptability, and predictability in costs as organizational needs change.

Workai’s Terms of Use (ToU) outline several key points on renewal, modification, and cancellation:

• ToU Updates: Workai may modify its Terms of Use and will notify users accordingly. Continued use after notification implies acceptance.

• Renewal of ToU: The revised Terms apply starting a renewed subscription. If changes occur during an existing subscription due to legal or security concerns, or third-party provider alterations, customers may terminate in response.

• Cancellation Window: Customers dissatisfied with changes have a 10-day opt-out period following notification and can terminate at the end of the month.

• Pro-Rata Refunds: If canceled mid-term for prescribed reasons, prepaid amounts are refunded pro-rata for the unused portion of the subscription.

• Free Trial Termination: The platform includes a 30-day free trial. Access terminates post-trial unless a subscription is activated. Subscriptions typically require automatic monthly renewal unless cancelled prior to the renewal date.

• Azure AD Requirement: Continued use requires an active Azure Active Directory account, and cancellation procedures involve disabling or withdrawing that integration.

Workai adheres to rigorous security and compliance frameworks, including:

• ISO 27001 Certification: Workai achieved ISO 27001:2013 certification (Certificate No. IS 785445, valid until October 2025), confirming its information security management systems through regular audits, risk assessments, and disaster recovery planning.

• GDPR Compliance: Data processing agreements (DPA) are aligned with GDPR requirements, ensuring lawful processing, purpose limitation, and data subject rights. The platform also supports EU-based hosting and rights for data access, correction, export, and deletion.

• Privacy Infrastructure: Workai implements privacy-by-design principles, designating data protection officers, enforcing data minimization, and securing data in transit and at rest.

• Physical and Operational Security: The platform uses secure Azure data centers with strong physical and network safeguards. Corporate governance includes ISMS oversight and contractual security obligations for partners and vendors.

• Disaster Recovery & Business Continuity: Workai’s ISO 27001 framework includes disaster recovery protocols and contingency planning to minimize service interruptions.

These provisions show that Workai supports a secure, compliant, and flexible SaaS environment—helping organizations retain control over data, manage contractual changes confidently, and meet enterprise-grade security standards.