Understanding your business requirements and objectives.
Identifying the specific features and functionalities needed
Solution Design & Planning
Customizing the architecture and integrations.
Planning implementation milestones and timelines.
Data Collection & Preparation
Gathering and preparing necessary data for training and testing.
Ensuring data quality and compatibility.
Development & Customization
Tailoring the AI models or platform to meet unique business needs.
Developing custom workflows or features if necessary.
Testing & Validation
Running pilot tests and validating results.
Making adjustments based on feedback.
Deployment & Integration
Deploying the solution into the existing infrastructure.
Ensuring seamless integration with other systems.
Training & Support
Training staff on using the software.
Providing ongoing support and troubleshooting.
Customisation
Workflow customization.
Integration with existing business systems.
Custom features or modules.
User interface adjustments.
Data-specific modeling tailored to industry or business specifics.
Additional Costs
Setup Fees:
One-time fee for initial deployment and customization.
Subscription or Licensing Fees:
Monthly or annual subscriptions, often based on usage or number of users.
Maintenance & Support:
Ongoing technical support.
Regular updates or upgrades.
Support contracts may be hourly, tiered, or all-inclusive.
Additional Costs:
Data integration or migration fees.
Training costs.
Additional modules or features.
Training
Training for New Users:
Onboarding sessions (virtual or in-person)
User manuals and documentation
Video tutorials and webinars
Customized training programs based on business needs
Hands-on training with your data and use cases
Support Services:
Tiered support plans (Basic, Premium, Enterprise)
Dedicated account managers
24/7 technical support
Regular check-ins and health assessments
Assistance with updates, troubleshooting, and optimization
Security Measures
Data encryption at rest and in transit
Role-based access control
Regular security audits
Compliance with standards like GDPR, HIPAA, ISO 27001 (depending on the vendor)
Secure APIs and data handling practices
Data anonymization and masking capabilities
Updates
Release cycle:
Often quarterly or bi-annual major updates
Continuous minor updates or patches
Management:
Managed via the cloud SaaS platform
Automatic updates or scheduled maintenance
Options for personalized update windows for enterprise clients
Data Ownership and Portability
Most reputable AI platforms state that clients retain full ownership of their data.
The vendor typically acts as a data processor under strict confidentiality agreements.
Data can often be exported in common formats (CSV, JSON, etc.) to enable portability.
Some vendors offer data export tools or APIs for seamless data migration.
Under GDPR and similar regulations, data ownership rights are explicitly protected.
Scaling Up / Down
Most SaaS providers, including AI platforms like Ithy AI, offer flexible scaling options.
Usually, organizations can adjust their usage plans (increase or decrease resources such as user seats, compute capacity, or features) with a notice period.
Pricing: Scaling up often involves additional costs proportional to increased usage; scaling down might lead to reduced charges but could include minimum usage fees.
Notice Period: Typically, a 30-day notice is required if you wish to downgrade or upgrade.
Automatic Scaling: Some services provide auto-scaling based on usage, with predefined thresholds.
The terms & conditions for contract renewal and cancellation
Renewal: Often, contracts auto-renew periodically (monthly, annually). Renewal notices are usually required 30-90 days in advance.
Cancellation: Usually requires written notice before the next billing cycle. It may include:
Minimum contract durations.
Penalties for early termination.
Refund policies, if applicable.
Data Handling: Upon cancellation, there are often clauses related to data exports, retention periods, and deletion.
Compliance
GDPR: For data protection within Europe.
HIPAA: If health data is involved.
SOC 2 / SOC 3: For service organization controls
ISO 27001: International standard for information security management
CCPA: California Consumer Privacy Act, if applicable.
FedRAMP: For US government cloud compliance, if relevant.
