Resources for enterprise AI decisions.
Inspect customer evidence, qualify a workload, understand implementation choices, or prepare a team discussion.
Leadership and governance
Guides for the decisions around the portfolio.
Use these guides to define the executive role, choose a strategy engagement and set the governance system for live AI work.
Chief AI Officer
Responsibilities, decision rights, role choices and the first 90 days.
Read the role guide ↗︎ 02AI Strategy Consulting
Required deliverables, engagement phases and partner selection.
Read the strategy guide ↗︎ 03Enterprise AI Governance
Ownership, risk tiers, controls, evidence and a 90-day rollout.
Use the framework ↗︎ 04AI Governance in India
Connect public guidance to company roles, reviews and records.
Read the India guide ↗︎Adoption and enablement
Guides for the change and the controls around it.
Use these guides to redesign the workflow around a new AI tool, build the role-based skill a team needs, and put the guardrails around approved use.
AI Change Management
Workflow redesign, manager reinforcement, feedback loops and a 90-day playbook.
Read the change guide ↗︎ 02AI Upskilling
Role-based skill tracks, applied assessment and a repeating curriculum.
Read the upskilling guide ↗︎ 03Shadow AI
What it is, the real risks, how to detect it and how to approve it instead of blocking it.
Read the shadow AI guide ↗︎ 04AI Guardrails
The identity, data, review and monitoring controls that keep approved AI use safe.
Read the guardrails guide ↗︎Choose by decision
Start with the question in front of you.
Which workload should we pursue?
Score candidate use cases against expected value, data readiness, delivery effort and operating risk.
Open the scorecard ↗︎ 02 / ControlWhat needs review before release?
Work through autonomy, data access, human intervention, monitoring and accountability.
Open the checklist ↗︎ 03 / PrepareWhat capability do we already have?
Assess strategy, delivery, data, governance and adoption before setting the next investment.
Open the toolkit ↗︎Customer evidence
Published implementation results.
Each story names the workflow, implementation approach and reported outcome. Use them to test whether Gyde has handled a comparable operating problem.
Bajaj Finance Limited cuts loan file holds from 18% to 9.7% in just 3 months with Gyde
Read the story ↗︎
Muthoot Fincorp slashes training & onboarding time by 63% and data errors by 78% with Gyde
Read the story ↗︎
Unity Small Finance Bank boosts CRM adoption across 300+ branches and onboards agents 57% faster with Gyde
Read the story ↗︎
Learn and prepare
Use the format that fits the work.
Definitions support a quick check. Guides and podcasts provide more context. The enterprise library follows implementation topics in depth.
Enterprise AI Library
Implementation guidance across applications, data, models, security and evaluation.
Explore the library ↗︎ 02AI Glossary
Direct definitions for terms used in architecture, governance and delivery discussions.
Look up a term ↗︎ 03GydeBites Podcast
Conversations with operators, technology leaders and learning practitioners.
Browse episodes ↗︎ 04Gyde Blog
Notes on current implementation patterns, product work and enterprise adoption.
Read the blog ↗︎Decision tools
Put structure around the discussion.
AI Use Case Qualification
Rank proposed workloads using consistent commercial, technical and risk criteria.
Use the scorecard ↗︎ ChecklistAI Agent Risk Assessment
Review autonomy, permissions, data handling, intervention and accountability.
Use the checklist ↗︎ ToolkitAI Maturity Self-Assessment
Map current capability across direction, data, delivery, governance and adoption.
Use the toolkit ↗︎ ToolkitAI Operating Model Starter Kit
Set up the council charter, RACI, portfolio register, risk record and scorecard.
Use the starter kit ↗︎ CalculatorAI Infrastructure Decision
Compare cost and operating inputs for managed and self-hosted model infrastructure.
Use the calculator ↗︎Working session
Bring the evidence and the open question.
Gyde can help define the workload, success measures, control requirements and next delivery decision.
Discuss the workload ↗︎