AWS Professional Services • Generative AI & Agentic AI

Build AI that understands, reasons and acts within your business workflows

Yaqeen helps organizations identify high-value AI opportunities and build secure generative AI and agentic AI solutions on AWS using enterprise data, knowledge retrieval, workflow orchestration, human oversight and responsible AI controls.

Amazon Bedrock

Agentic Workflows

Knowledge Retrieval

Responsible AI

Enterprise AI Orchestration Blueprint

SECURE & GOVERNED

AI AGENT ORCHESTRATION

Grounded

Enterprise knowledge

Controlled

Human oversight

Operational

Workflow integration

Scalable

Business growth

Understand

Language, documents and context

Reason

Plan and evaluate next actions

Act

Use tools, APIs and workflows

Learn

Improve with feedback and evaluation

Move from AI experimentation to trusted business execution

Generative AI creates content and insight. Agentic AI goes further by coordinating tasks, tools, knowledge and decisions across a workflow.

Design AI around real users, decisions and business processes

Many AI initiatives stall because they begin with a model rather than a business problem. Successful solutions require trusted data, clear process boundaries, integration with existing systems, measurable outcomes and controls appropriate to the risk.

Yaqeen helps define where conversational AI, knowledge assistants, intelligent document processing and autonomous or human-supervised agents can create value. We then design and implement the architecture, integrations, evaluation framework and operational controls required for production adoption.

Business-first use cases

Prioritize AI opportunities tied to measurable workflow, service, quality or compliance outcomes.

Grounded intelligence

Connect models to approved enterprise data, documents, APIs and knowledge sources.

Action-oriented agents

Enable AI to plan, use tools and complete bounded tasks across business workflows.

Human-centered control

Use approvals, escalation, audit trails and review where risk requires oversight.

What we evaluate

AI architecture and controls are tailored to the use case, data sensitivity, user population and business risk.

Use-case value and feasibility

Users, workflow friction, expected outcomes, decision boundaries and adoption requirements.

Data and knowledge readiness

Documents, databases, APIs, quality, permissions, freshness and retrieval strategy.

Model and agent architecture

Foundation models, prompts, tools, memory, orchestration and human interaction patterns.

Security and responsible AI

Identity, access, privacy, content controls, explainability, testing and auditability.

Production operations

Evaluation, monitoring, cost controls, feedback, incident response and continuous improvement.

Core generative AI and agentic AI capabilities

Focused services spanning strategy, architecture, engineering, orchestration, integration and production governance.

GenAI & Agentic AI Strategy

Identify high-value opportunities and create a practical roadmap for experimentation, production and scale.

Use-case discovery and prioritization
AI readiness and risk assessment
Business case and implementation roadmap

Generative AI Application Development

Build secure assistants and applications for summarization, drafting, search, analysis and decision support.

Amazon Bedrock application architecture
Prompt and response design
User experience and workflow integration

Enterprise Knowledge & RAG

Ground model responses in approved organizational data, documents and business context.

Knowledge-source preparation
Retrieval-augmented generation
Permissions-aware search and citations

Agentic Workflow Automation

Design AI agents that reason, use tools and complete bounded tasks with appropriate oversight.

Agent and multi-agent architecture
Tool, API and workflow orchestration
Approval and escalation patterns

AI Integration & Modernization

Embed intelligence into existing applications, contact centers, portals and operational platforms.

API and event integration
Application and workflow modernization
Enterprise-system connectivity

AI Evaluation & Operations

Operationalize AI with testing, monitoring, cost controls, feedback loops and continuous improvement.

Quality and safety evaluation
Usage, latency and cost monitoring
Prompt, model and agent lifecycle management

AI Delivery Approach

A structured path from opportunity discovery to trusted AI operations

Yaqeen combines business process analysis, data readiness, architecture, prototyping, evaluation and production governance.

Discover

Identify users, workflow pain points, decisions, expected outcomes and risk boundaries.

Assess

Evaluate data, knowledge, integrations, security, governance and AI readiness.

Architect

Design model, retrieval, agent, tool, identity, data and oversight patterns.

Prototype

Build a focused solution using representative data and real workflow scenarios.

Evaluate & Secure

Test quality, grounding, safety, privacy, performance, usability and cost.

Deploy & Improve

Operationalize with monitoring, feedback, governance and managed AI operations.

High-value generative AI and agentic AI use cases

Solutions are tailored to industry workflows, data sensitivity, decision risk and the level of autonomy appropriate for each process.

Enterprise Knowledge Assistant

Find Trusted Answers Faster

Provide grounded, permissions-aware access to policies, procedures, documents and institutional knowledge.

Document Intelligence

Extract and Summarize

Classify, summarize and extract key information from forms, reports, correspondence and records.

Contact Center Intelligence

Improve Every Interaction

Analyze conversations, summarize calls, score quality, identify risk and support agent coaching.

Agent Assist & Copilots

Support Better Decisions

Give employees contextual guidance, recommended actions and workflow support inside existing tools.

Intelligent Case Management

Coordinate Work

Use agents to collect context, recommend next steps, route tasks and track completion across cases.

Workflow Automation Agents

Complete Bounded Tasks

Enable agents to use approved APIs and tools for scheduling, follow-up, reconciliation and operational actions.

Clinical & Research Support

Assist Specialized Workflows

Support documentation, patient education, research screening and governed knowledge access.

Financial & Compliance Intelligence

Strengthen Oversight

Analyze communications, detect exceptions, summarize evidence and support policy-driven review.

Responsible AI and production guardrails

Controls are designed around the specific use case, data sensitivity, potential impact and required level of human oversight.

Grounding & Accuracy

Use approved knowledge, retrieval, validation and evaluation to reduce unsupported responses.

Security & Privacy

Protect identities, data access, sensitive information, prompts, outputs and integrations.

Human Oversight

Define approval, escalation and review requirements for consequential actions and decisions.

Monitoring & Auditability

Track model behavior, agent actions, quality, cost, latency, exceptions and user feedback.

Choose the right generative AI and agentic AI engagement

Start with discovery and readiness, validate a priority use case or implement a production AI program.

GenAI & Agentic AI Assessment

Identify the use cases with the strongest value, feasibility and readiness

A focused assessment evaluates workflows, data, knowledge, integrations, risks and the architecture required for secure AI adoption.

Best for

Organizations exploring AI but needing clear priorities, guardrails and next steps.

Typical outputs

Prioritized use cases, readiness findings, target architecture and implementation roadmap.

Common focus areas

Business value, data readiness, model fit, agent boundaries, security and responsible AI.

AI Proof of Concept

Validate a high-value use case with representative data and real users

A proof of concept tests model quality, retrieval, agent behavior, workflow fit, security and measurable business value.

Best for

Organizations that want evidence before committing to a production implementation.

Typical outputs

Working prototype, evaluation results, architecture, lessons learned and production plan.

Common focus areas

Prompting, RAG, tools, user experience, human review, accuracy, latency and cost.

Production AI Solution

Operationalize a secure AI assistant or agentic workflow on AWS

This engagement moves a validated use case into production with enterprise integrations, guardrails, monitoring and support readiness.

Best for

Organizations with an approved use case and clear production requirements.

Typical outputs

Production application, integrations, controls, evaluation framework, runbooks and handoff.

Common focus areas

Security, reliability, observability, scalability, governance and user adoption.

Enterprise AI Program

Scale generative AI and agentic AI across multiple workflows and business units

A coordinated program creates reusable AI architecture, governance, knowledge services, agent patterns and an operating model.

Best for

Organizations with multiple AI initiatives and a need for shared standards and platforms.

Typical outputs

AI foundation, reusable components, governance, multiple solutions and managed operating model.

Common services

Program governance, platform engineering, responsible AI, adoption, evaluation and AI operations.

Business outcomes

Generative AI and agentic AI should create measurable improvements in productivity, service, quality, speed and operational capacity.

Faster

Knowledge access

Help users find, understand and apply trusted information in less time.

Lower

Manual workload

Automate repetitive analysis, documentation, routing and follow-up activities.

Better

Decision support

Provide contextual recommendations, summaries and next-best actions within workflows.

Scalable

AI operations

Establish reusable architecture, governance and monitoring for future AI use cases.

Related AWS professional services

Generative and agentic AI initiatives often connect directly to data modernization, application modernization, security and managed operations.

Data, Analytics & AI

Build the governed data and knowledge foundation required for reliable AI applications.

Application Modernization

Embed assistants, agents and intelligent workflows into modern applications and APIs.

Managed Cloud & AI Operations

Monitor, secure and continuously improve AI workloads, integrations, data pipelines and business services.

Ready to move from AI ideas to secure business outcomes?

Start with a generative AI assessment, agentic AI proof of concept or production solution tied to a measurable workflow.