AI Assistants
Internal copilots for reporting, search, knowledge and decision support.
Discuss assistants →Deploy secure assistants, document processing and workflow automation built around real operating needs.
Start with the business problem, then apply the right AI capability.
Internal copilots for reporting, search, knowledge and decision support.
Discuss assistants →Connect tasks, approvals and actions with intelligent triggers.
Discuss automation →Bring approved business information into a secure conversational experience for faster search, summaries and management support.
Capture information from invoices, forms, reports and other documents, then validate and route it into downstream processes.
Combine AI with existing systems to reduce repetitive work, trigger actions and keep human approval where it matters.
AI is grounded in controlled, approved information rather than disconnected experiments.
We design around your users, processes and measurable business outcomes.
Solutions can integrate with existing systems and scale with practical governance.
Useful AI does more than describe what happened. It uses trusted business signals to suggest a clear, prioritized action while keeping people in control.
Identify products, stores or customer groups with the strongest opportunity, then suggest an offer, timing and target.
Example action: Run a targeted promotion for slower items in high-traffic stores.Combine sales movement, current stock and replenishment lead time to highlight the products that need attention first.
Example action: Replenish priority SKUs at stores showing rising demand.Turn multiple alerts into a manageable action list so teams know what to resolve now, next and later.
Example action: Address out-of-stock risk before lower-impact reporting exceptions.Show the supporting signals, expected outcome and relevant limits so the business owner can review and approve the next step.
Example action: Present the evidence and confidence before execution.Recommendations depend on approved data, clear business rules and appropriate access. Final decisions remain with the client team.
Discuss an AI use case →
Improve reporting, demand visibility, promotions analysis and store performance.

Support operations, quality, maintenance and management visibility with intelligent insights.

Connect inventory, orders, channels and supplier information for faster action.

Deliver decision-ready insights, summaries and reporting across the organization.
Understand the business goal, data, users and current workflow.
Define a secure, practical solution with clear success measures.
Integrate, test, roll out and improve with real user feedback.
You do not need a complete technical specification before speaking with GAT.
Examples include knowledge assistants, document processing, forecasting support, workflow automation and AI-enabled analytics. The final scope depends on business value, data quality, security and integration needs.
Yes. A solution can be designed to use approved enterprise data with appropriate access controls, logging and governance.
Usually not. AI services can be integrated with existing databases, portals, reports and workflows through controlled interfaces.
Turn your data, documents and workflows into practical AI outcomes.