advisory for the AI age
overcome hurdles
What We Help You Achieve
Align business strategy to an AI-native blueprint for measurable impact
Map customer journeys with Agentic-AI actors across data, apps, and cloud
Assess platforms using Entech’s AI Readiness Index to gauge risk and potential
Optimize tech stacks with AI-driven scoring to reduce spend and boost innovation
Our advisory services
Enterprise Intelligence
Architecture (EIA)
Architect for intelligence. Govern for growth. We build AI-embedded EA functions for adaptive governance, data-driven decisions, and predictive delivery.
EA Vision: AI-modeled, aligned with strategy and governance
Service Catalog: EA services for AI-powered business models
Operating Model: AI copilots in planning and governance to improve decisions
Dashboards tracking architecture health and AI progress
Digital Architecture
Blueprint your AI-native enterprise. We design modular, cloud platforms for agentic orchestration, adaptive scaling, and AI integration.
AI Strategy: Assess readiness for AI integration
Impact: Evaluate system effects of AI adoption
Architecture: Design scalable, agent-ready blueprints
Roadmaps: Phase AI adoption by business goals
Engagement
Blueprint (Human to AI)
Operational clarity powered by intelligence. We use AI-driven analytics to spot misalignments, predict bottlenecks, and recommend fixes.
Context: AI-assisted capture of goals, metrics, and drivers
Process: Agent-based analysis of interactions and tools
Blueprint: Role mapping for customers, staff, and AI alignment
Recommendations: Predictive scenarios for cost, efficiency, and value
AI-Transformed MarTech
From campaigns to agent-driven marketing. AI reshapes how teams and tech work as agents lead creative, content, and execution. Success comes from re-architecting MarTech.
Agent-Driven Engagement: Replace campaigns with agents that test, learn, and personalize at scale
Role Rebalancing: Redefine how agencies, in-house teams, and AI share marketing tasks
AI-Native Stack: Build platforms for agent-led creation, personalization, and optimization
Transformation: Evolve teams from campaign managers to AI-driven growth orchestrators
Application Portfolio
Intelligence (APIx)
Simplify the stack. Amplify intelligence. With APIx and BlueDolphin, we transform portfolio management—automating inventories, assessing value, and driving a leaner, AI-ready foundation.
Smart Inventory: AI agents auto-scan and tag apps by function and criticality
Predictive Scoring: ML models assess TCO, debt, and innovation potential
Rationalization: AI recommends retain/retire/replatform with ROI insights
Simulation: Test portfolio strategies and forecast outcomes
Results: Cut TCO by 20–25% and rationalization time to under 8 weeks
A digital business model story
Cow to Cash
The Situation
An energy services holding company was launching a Renewable Gas Program using cow methane emissions to offset millions of gallons of gasoline. They turned to Entech to establish end-to-end business processes and obtain critical insights.
Business Challenges
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Lacked knowledge of the gaps in their current tech stack
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Didn’t have a view of business processes, preventing business entity alignment
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Couldn’t provide regular reporting to prove the initiative met the criteria for RGP certification
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Lacked real-time operational analytics through IOT data visualization
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Faced challenges in obtaining insights to drive profitability and support efficiency across the lifecycle, impacting strategic decision-making
Entech's Solutions
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Provided technology, process, and gap analysis; target state and action planning; road mapping and socialization findings; and project recommendations for implementation
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Defined an integrated digital architecture, combining OT and IT
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Guided build-out with detailed process modeling to connect farm-level data with revenue
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Developed L2 process for energy and financial reporting, spanning generation to consumption
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Developed the future state IT Architecture to align with key business objectives
Results
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Improved efficiencies, ensuring a smooth end-to-end business process
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Gained valuable data from the farm through revenue recognition
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Proved their practices met the criteria for RGP certification with regular reporting
