AI Enablement Solutions
Numerous AI Agentic Tools
The marketplace has exploded with numerous AI platforms, tools, and agentic solutions. Choosing the right AI solution that fits your business, industry, size, users, and budget is at the core of our AI Enablement solutions.
Analysis and Assessment: Your Business
Our methodology starts with a detailed analysis of your current IT landscape: ERP, CRM, software, cloud apps, AI platforms, integrations, etc. We combine state of the art tools and applications with our cloud platform experience to generate a detailed client assessment.
Security and Compliance: User-Based Approach
Users determine the overall success or failure of your AI Initiatives. AI security that supports your Users but doesn't expose your organization to risks and threats such as hallucinations, shadow AI, data leakage/poisoning, prompt injection, LLM Input/output Monitoring, phishing, malware to name just a few. We work directly with your departments and users to establish core baseline guardrails and compliance to facilitate the and your desired AI outcomes.
Budget Thresholds vs. AI Cost
AI tools are turning to consumption pricing based on usage (i.e. tokens). Maximizing AI value within your budget begins with evaluating the right AI tool, usage thresholds, and cost. AI user training on proper usage, credit/token allowances, and limitations is essential to successful AI enablement.
AI Platform Advisory and Planning
The rapidly changing AI marketplace requires on-going review, maintenance, and monitoring with continuous road mapping, and planning. Our goal is to facilitate clients who want to deliver a more engaging, personalized experience for their customers that drives revenue, higher customer satisfaction, and greater levels of operational efficiency.
Our AI Enablement Solution Methodology
Step 1: AI Platform Selection
Understanding Your Current IT Ecosystem and Data/Metadata:
- Review All Artifacts, Documentation, and Architecture
- Assess Current IT Landscape, Platforms, and Integrations
- Analyze Active Business Processes and Automations
- Perform Org Scan and Generate Data/Metadata Reports
- Review LLMs (large language model) Capabilities and Sources for Selection
- Identify Potential Security Risks of Integrating AI (Private and Public-Facing Software and Applications)
Step 2: Users and Agentic Solutions
Aligning Business Goals/KPIs with AI Scalable Agents:
- Develop AI Use Cases (understanding situations with data)
- Build and Scale AI Pilot Projects and POCs
- Ensure AI Agentic Security, Compliance, and Management
- Highlight AI Hallucinations, Risks, and Probabilistic Security
- Establish AI Guardrails and Accessibility
- Address Employee AI Fatigue
Step 3: AI Solution KPIs and Leadership
Integrating AI Solutions via Guidance and Leadership:
- Tie Business KPIs with AI Initiatives
- Transition from Stand-Alone Chatbots to AI Agents
- Maintain Agentic AI Governance Tools and Strategies
- Develop AI Policies, Structure, and Data Constraints
- Unify Costs Across Platform, Agents, and Consumption
- Recommend Future Enhancements and AI Enablement
AI Enablement Solution Deliverables
AI Recommendations
AI Recommendations
AI Recommendations
Our recommendations with cadence, complexity, and benefits provide a road map for AI platform selection, management, enhancements within budgetary thresholds.
Executive Summary
AI Recommendations
AI Recommendations
We summarize and deliver an Executive presentation to help guide AI platform selection, implementation, and future business driven decisions.
Data and Processes
AI Recommendations
Data and Processes
Your data/metadata and active business processes are organized, displayed, and summarized for easy understanding and review.
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