GenAI
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Readiness Assessment for AI Use Cases
Is your organization ready to adopt GenAI?
GenAI Readiness Assessment & Adoption
We focus on five key pivots i.e. Technology, Data, People, Process and Governance, to provide a comprehensive audit, readiness assessment, and actionable roadmap. This service empowers you to identify gaps, prioritize investments, and unlock AI-driven growth with minimal risk.
At Agentics, we believe that true AI transformation begins with a clear understanding of your organization's current state.
Our GenAI Readiness Assessment & Adoption Service is designed to evaluate, benchmark, and guide your business in adopting and integrating innovative use case(s) of GenAI. Accordingly, we help you understand, train, prepare and evolve your people, data, technology platforms and process workflows.
Whether you're just starting your AI journey or scaling existing initiatives, our GenAI Readiness Assessment Service delivers actionable roadmap that aligns with your strategic business goals to implement GenAI solutions and solve specific business problems.
Driving You from "Working with AI" to "Being AI-Native"
Don’t Just Adopt AI.
Re-Engineer Your DNA.
We reject the "big bang" implementation approach. Instead, we use our proprietary Validation-First Framework:
Step 1: The Audit. A deep dive into your current state using our 5-Pivot Framework.
Step 2: The Validation. We prioritize "quick wins" and run de-risked experiments to prove value before major CAPEX is deployed.
Step 3: The Roadmap. A phased, actionable plan to scale from Proof of Concept (POC) to global rollout, minimizing TCO and maximizing ROI.
The Result: 90% of our clients report smoother AI rollouts and drastically reduced governance issues compared to standard consulting approaches.
The Methodology: Validation-First & De-Risked Disruption
Key Components of Our GenAI Readiness Assessment & Adoption Service
PHASE
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01
AI Maturity Audit (Discovery: 2-4 weeks)
Comprehensive Evaluation: We conduct a deep-dive audit across the five pivots:
Technology: Assess your current tech stack, including cloud infrastructure, AI tools, and integration capabilities. We identify bottlenecks like legacy systems or scalability issues.
Data: Review data quality, governance, accessibility, and readiness for AI (e.g., structured vs. unstructured data, compliance with GDPR/CCPA).
People: Evaluate team skills, AI literacy, and organizational culture. This includes gap analysis for existing AI exposure, familiarity as well as perceptions and techno stress. It also identifies additional role like data scientists, AI ethicists, and change managers in existing talent & expertise pool.
Process Design: Map your workflows to spot AI opportunities, such as automation in operations, decision-making or redefine process flows.
AI Governance: Examine frameworks for ethical AI use, risk management, regulatory compliance (e.g., EU AI Act), bias mitigation, accountability structures, and audit trails to ensure responsible AI deployment.
Benchmarking: Compare your maturity against industry peers using our proprietary AI Maturity Index (scored 1-5 per pivot).
Tools & Techniques: Leverage AI-driven surveys, interviews, comprehensive assessment, and automated scans (e.g., using ML models to analyze code repositories, data lakes, or governance policies).
Deliverable: A detailed audit report with maturity scores, SWOT analysis, and visualized heatmaps highlighting strengths and risks across all five pivots.
PHASE
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02
Readiness Assessment (Analysis: 2-4 Weeks)
Risk & Opportunity Identification: Using scenario modeling to forecast AI's potential impact on your business metrics (e.g., TCO reduction by 15-30%, efficiency gains of 25-50%), including governance-related risks like ethical lapses or regulatory fines.
Gap Analysis: Identifying specific deficiencies, such as inadequate data pipelines, skill shortages, or weak governance frameworks (e.g., lack of AI ethics boards or transparency mechanisms), and quantify their business impact.
Ethical & Compliance Check: Ensuring readiness for AI regulations by assessing bias risks, transparency, data privacy, and governance maturity, with recommendations for building robust oversight.
Deliverable: A readiness scorecard with prioritized gaps, estimated remediation costs, and quick-win recommendations (e.g., low-code AI pilots or initial governance policy drafts).
PHASE
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03
Roadmapping & Strategy Development (Planning: 4-6 Weeks)
Customized Roadmap: Build a phased, 12-36 month plan tailored to your goals. This includes:
Short-term actions (e.g., AI literacy training for teams or establishing basic AI governance committees).
Mid-term initiatives (e.g., data modernization, tech stack upgrades, or implementing AI risk assessment protocols).
Long-term vision (e.g., fully autonomous AI agents for operations with embedded governance for ethical decision-making).
Integration with Business Objectives: Align the roadmap with your KPIs, such as customer acquisition, operational resilience, sustainability targets, or governance compliance metrics.
Resource Allocation: Provide budgeting guidance, vendor recommendations, and ROI projections for each milestone, including costs for governance tools
Deliverable: An interactive digital roadmap (e.g., via tools like Miro or custom dashboards) with timelines, dependencies, and success metrics. Includes executive summaries for board-level presentations, with a dedicated section on AI Governance integration.
BENEFITS & OUTCOMES
→ Rapid ROI: Achieve payback in 4-12 months through targeted GenAI implementations that cut costs and streamline processes, while strong governance minimizes long-term risks.
→ De-Risked Transformation: Our methodology minimizes disruption, with 90% of clients reporting smoother AI rollouts and reduced governance-related issues.
→ Scalable Growth: Position your organization for AI-native operations, enabling autonomous improvements in efficiency, innovation, and ethical AI practices.
AI prototyping, POCs, MVPs and Enterprise Integration
Everything AI
Comprehensive AI-Powered Growth Execution Stack with innovative solutions such as Conversational AI, Agentic AI Multi-Agent System (MAS), Advanced LLM Integration, RAG-as-a-Service, Agentic Workflows, Business AI Modeling, Multi-Model Solutions, Unlocking Unstructured Data with Agentic AI, Agentic eCommerce etc.
