Project data scattered across spreadsheets, emails, and silos. AI agents now generate reports; 70+ initiatives governed on one platform.
India's largest renewable energy company, with a growing portfolio of digital transformation initiatives spanning technology, operations, and business innovation across multiple teams and group companies.
Project information was scattered across spreadsheets, presentations, emails, and disconnected systems, making it difficult to track progress,...
“As our transformation initiatives scaled across the organization, it became important to establish a connected and intelligent operating framework. With Microsoft Power Platform and Copilot Studio, we are building a scalable, AI-enabled Agentic operating model that strengthens decision-making and drives consistency across projects and teams.”
Multinational conglomerate across infrastructure, energy, logistics, and materials.
Developed the Digital Canvas app for Adani Green Energy; provides ongoing enhancements and optimization.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Adani Group's Project governance is part of this use case:
Related implementations across industries and use cases
Staff manually checked thousands of orders in Excel. Now, automated apps and AI agents validate logistics and pre-screen legal claims.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Project data scattered across spreadsheets, emails, and silos. AI agents now generate reports; 70+ initiatives governed on one platform.
India's largest renewable energy company, with a growing portfolio of digital transformation initiatives spanning technology, operations, and business innovation across multiple teams and group companies.
Project information was scattered across spreadsheets, presentations, emails, and disconnected systems, making it difficult to track progress,...
“As our transformation initiatives scaled across the organization, it became important to establish a connected and intelligent operating framework. With Microsoft Power Platform and Copilot Studio, we are building a scalable, AI-enabled Agentic operating model that strengthens decision-making and drives consistency across projects and teams.”
Multinational conglomerate across infrastructure, energy, logistics, and materials.
Developed the Digital Canvas app for Adani Green Energy; provides ongoing enhancements and optimization.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Adani Group's Project governance is part of this use case:
Related implementations across industries and use cases
Staff manually checked thousands of orders in Excel. Now, automated apps and AI agents validate logistics and pre-screen legal claims.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.