AI & GenAI Services
Build Intelligent Systems That Deliver Real Business Value
GLOBAL MARKETS TODAY LTD. designs, engineers and deploys enterprise-grade AI systems that are secure, scalable and aligned with business goals.
We help organizations move from experimentation to production by combining Generative AI, RAG architectures, AI agents, MLOps, LLMOps and governance-by-design.
Who This Service Is For
- Enterprises modernizing operations with AI
- SMEs seeking automation and intelligent support systems
- Startups building AI-first products
- Regulated organizations requiring secure and governed AI deployment
- Global businesses that need multilingual, scalable AI experiences
Typical Deliverables
Core Service Lines
From Strategy to Production AI Operations
AI Strategy & Readiness
We assess data, workflows, compliance posture, and infrastructure to define the right AI roadmap for business value.
- AI opportunity mapping
- use-case prioritization
- data readiness assessment
- model selection guidance
- build-versus-buy analysis
- deployment strategy
RAG Systems
We build retrieval-augmented generation systems that connect large language models to your private knowledge base.
- document ingestion pipelines
- chunking and embedding strategy
- vector database architecture
- relevance tuning
- access control
- hallucination reduction patterns
- observability and feedback loops
AI Agents & Copilots
We create intelligent agents that complete tasks, reason through workflows, and act across connected systems.
- customer support agents
- internal knowledge copilots
- operations assistants
- sales assistants
- workflow orchestration agents
- multi-step action chains
- tool-enabled agent architecture
MLOps & LLMOps
We operationalize AI systems for reliability, traceability, and continuous improvement.
- CI/CD for models
- prompt and model versioning
- evaluation pipelines
- monitoring and alerting
- drift detection
- rollback and release controls
- cost and latency optimization
AI Governance, Security & Risk
We embed governance from the beginning so AI adoption remains trustworthy and sustainable.
- model governance framework
- access controls and audit logs
- human-in-the-loop checkpoints
- bias and risk controls
- prompt security considerations
- responsible AI documentation
- approval workflows for regulated use cases
Engagement Packages
Choose the Right Level of AI Delivery
Foundation Package
Best for organizations validating one high-value use case.
A fast-moving discovery and prototype track that turns one business opportunity into a decision-ready AI concept.
- discovery workshop
- 1 prioritized AI use case
- baseline RAG or assistant prototype
- technical architecture
- deployment recommendation
Acceleration Package
Best for organizations ready for production implementation.
A delivery package focused on taking AI from prototype to governed production with measurable operational value.
- production RAG system
- 1 to 2 agents or copilots
- MLOps / LLMOps setup
- monitoring and evaluation
- governance starter framework
- developer handoff
Transformation Package
Best for organizations rolling out AI across multiple departments.
A scaled program for enterprises building a coordinated AI portfolio across teams, systems, and governance layers.
- multi-use-case AI portfolio roadmap
- enterprise-grade orchestration
- secure integrations with CRM/ERP/help desk
- advanced observability
- governance and policy framework
- rollout support and training
Ideal Use Cases
30 / 60 / 90 Day Roadmap
Structured Delivery With Clear Progression
Days 1-30
- conduct discovery workshops
- identify high-value use cases
- assess data sources and security boundaries
- define architecture and success metrics
Days 31-60
- build ingestion pipeline and retrieval layer
- implement assistant or agents
- integrate with business systems
- configure monitoring and evaluation
Days 61-90
- harden production deployment
- validate governance controls
- optimize quality, latency and cost
- train internal stakeholders
- prepare phased scale-up plan
KPIs
- response quality and accuracy
- task completion rate
- time saved per workflow
- user adoption rate
- model latency
- cost per query
- escalation reduction
- search relevance score
Acceptance Criteria
- defined business use case implemented
- secure access controls in place
- model responses meet agreed accuracy threshold
- monitoring dashboard active
- rollback and support process documented
- stakeholder sign-off completed
Developer Handoff Artifacts
- page template content
- front matter metadata
- architecture diagram inputs
- API integration requirements
- sample user flows
- CTA placements
- related-services block requirements
Cybersecurity & DevSecOps
Protect AI workflows with secure SDLC controls, access boundaries, and production hardening.
Cloud Management Service
Strengthen hosting, scaling, cost governance, and reliability for AI-backed infrastructure.
DevOps Services
Connect release automation, observability, and deployment discipline to your AI delivery stack.
MVP Development
Pair AI discovery with rapid product validation when you need to launch and learn quickly.
Growth + AEO
Extend intelligent systems into customer discovery, content velocity, and AI-era visibility strategy.
