Trusted by 100+ global companies across Retail, Manufacturing, Healthcare, Finance, and Technology
We work with business and IT leaders to identify and prioritize AI use cases based on:
Business impact and feasibility
Data availability
Risk and compliance considerations
Time-to-value
We design a practical AI target state that fits your enterprise:
Role of AI across functions and workflows
Platform vs point-solution decisions
Data, AI, and agent architecture
Security, governance, and operating model
We translate strategy into a phased roadmap:
90-day, 6-month, and 12-month initiatives
Dependencies across data, systems, and teams
Investment and resourcing guidance
Build vs buy recommendations
For organizations scaling AI, we help define:
AI CoE structure and roles
Intake, prioritization, and delivery model
Governance, risk, and compliance workflows
Metrics to track value and adoption
AIssist is an enterprise platform designed to help organizations work smarter with AI. It brings intelligence, search, and action together in one secure layer—so teams can find information, make decisions, and execute tasks across systems without switching tools. Built to fit into existing enterprise environments, AIssist connects data, applies controls, and supports consistent execution at scale.
Project financial visibility depended on delayed and manual reporting, limiting proactive control. An AI-powered financial agent provides conversational access to real-time project metrics, forecasts, and risk indicators. Project leaders gain faster insight into financial health and can take corrective action earlier
Doctors spent significant time reviewing patient records before consultations, reducing patient throughput. An AI agent aggregates patient history, diagnostics, and clinical notes into a single view, enabling faster reviews and more informed consultations.
Applied AI solves specific problems. AI agents operationalize AI inside workflows and systems.
Yes. Agents are designed to interact across ERPs, CRMs, ITSM tools, databases, and custom applications.
Through defined rules, approvals, guardrails, monitoring, and audit logs.
No. Agents assist with execution and decision support while humans retain ownership and authority.
Yes. Agent permissions can be scoped by role, system, data access, and action type.
Agents can escalate to humans, pause execution, or follow predefined fallback rules when exceptions occur.
Yes. Agents operate within enterprise security, access control, and compliance frameworks.
Yes. Agent behavior can be refined, extended, and scaled as business needs change.
