Cloud + AI Cost Governance
Identify AWS, Azure, and AI/API spend leaks, fix ownership gaps, and create a prioritized 30-day savings and governance roadmap.
View the sprint →Senior cloud consulting with AI-accelerated delivery
Reduce cloud waste and build stronger platform foundations
DigiScience Techsol helps SaaS and technology companies reduce AWS and Azure waste, install practical governance guardrails, rescue cloud landing zones, standardize platform engineering, and automate operational workflows without hiring a full internal cloud and platform team.
AWS / Azure Cost Governance
Landing Zone Rescue
Platform Engineering
AI-Agent Automation
Monthly Governance
Start with visibility, then move to governed execution
Packaged services give buyers a clear entry point while leaving room for deeper implementation and retainer work.
What DigiScience Techsol does
Senior cloud consulting for SaaS and technology companies that need cost control, cloud governance, platform standards, and selective AI automation with practical delivery accountability.
Cloud Landing Zone Rescue
Improve existing AWS accounts or Azure subscriptions with IAM, networking, logging, backup, monitoring, and policy guardrails.
View the rescue offer →Platform Engineering Accelerator
Build lightweight golden paths, GitHub Actions templates, environment promotion standards, and onboarding runbooks.
View the accelerator →AI-Agent Workflow Automation
Automate internal operations, cloud reporting, support triage, sales operations, and customer success workflows after trust is established.
Explore automation →Monthly Cloud Governance Retainer
Keep cost, governance, architecture, rightsizing, and cloud drift under monthly review with executive-ready reporting.
View the retainer →Cloud, DevOps & AI Advisory
Use senior guidance for architecture decisions, modernization sequencing, tooling choices, governance, and executive alignment.
Discuss advisory →Packaged offers and deliverables
Clear entry points for quick buyer conversations. Each offer can stay advisory-only or move into implementation support depending on the environment and urgency.
Cloud + AI Cost Governance Sprint
In 7 to 14 days, identify cloud and AI spend leaks, install practical controls, and create a prioritized savings and governance roadmap.
Deliverables
Spend and waste analysis, tagging review, budgets and alert recommendations, IAM quick-risk review, rightsizing backlog, AI/API usage checklist, and 30-day executive action plan.
Spend and waste analysis, tagging review, budgets and alert recommendations, IAM quick-risk review, rightsizing backlog, AI/API usage checklist, and 30-day executive action plan.
Investment range
India audit: INR 49K-99K. Global audit: USD 750-1,500. Implementation sprint: INR 2.5L-6L or USD 7.5K-15K.
India audit: INR 49K-99K. Global audit: USD 750-1,500. Implementation sprint: INR 2.5L-6L or USD 7.5K-15K.
Cloud Landing Zone Rescue
Fix an existing cloud foundation without a full rebuild by adding practical landing-zone guardrails, IaC baselines, and operational runbooks.
Deliverables
Current-state assessment, account or subscription structure, IAM baseline, logging, monitoring, backup, policy guardrails, Terraform/OpenTofu starter modules, and handover runbooks.
Current-state assessment, account or subscription structure, IAM baseline, logging, monitoring, backup, policy guardrails, Terraform/OpenTofu starter modules, and handover runbooks.
Investment range
India sprint: INR 3L-8L. Global sprint: USD 10K-25K.
India sprint: INR 3L-8L. Global sprint: USD 10K-25K.
Platform Engineering Accelerator
Create a lightweight internal platform foundation so teams can deploy through consistent, governed, repeatable golden paths.
Deliverables
Golden-path repo templates, reusable GitHub Actions workflows, environment promotion pattern, deployment approvals, rollback guidance, developer onboarding, and platform backlog.
Golden-path repo templates, reusable GitHub Actions workflows, environment promotion pattern, deployment approvals, rollback guidance, developer onboarding, and platform backlog.
Investment range
India accelerator: INR 6L-18L. Global accelerator: USD 25K-60K.
India accelerator: INR 6L-18L. Global accelerator: USD 25K-60K.
AI-Agent Workflow Automation
Use AI agents carefully where they create measurable operational leverage, especially after governance and trust are already established.
Explore an automation use case →Monthly Cloud Governance Retainer
Keep cloud cost, governance drift, architecture choices, and optimization actions visible with a recurring senior review rhythm.
Deliverables
Monthly cost and governance review, spend anomaly review, rightsizing backlog, drift review, architecture advisory, and executive monthly report.
Monthly cost and governance review, spend anomaly review, rightsizing backlog, drift review, architecture advisory, and executive monthly report.
Investment range
India: INR 75K-2L per month. Global: USD 2K-7.5K per month.
India: INR 75K-2L per month. Global: USD 2K-7.5K per month.
Free Cloud Waste & Governance Snapshot
A low-friction starting point to review your current cloud cost and governance posture before selecting a sprint or retainer.
Request the snapshot →Trust assets for a low-risk first conversation
Before a buyer shares access or schedules a deeper discussion, they can inspect the method, sample output, delivery process, and data-handling approach.
Cloud and AI Cost Governance Snapshot
A concise view of who the offer is for, the problem it solves, the expected deliverables, and why the first step is bounded.
Sample Waste and Governance Report
A buyer can see the shape of the findings, scorecard, priorities, and 30/60/90 day roadmap without exposing any customer data.
Before, During, and After Delivery
The assessment has a clear flow: discovery, evidence review, structured findings, handover, and optional implementation support.
Minimum Access, Practical Evidence
Read-only access or exported evidence is preferred, secrets are not requested in chat or email, and public proof requires approval.
Why DigiScience
A practical, senior-led model for technology companies that need a stronger cloud operating model without adding a large internal team first.
Founder-led delivery
High-accountability engagement with direct access to senior leadership.
High-accountability engagement with direct access to senior leadership.
Architecture + operations depth
A combined lens across cloud, AI, FinOps, observability, and operational excellence.
A combined lens across cloud, AI, FinOps, observability, and operational excellence.
Practical transformation thinking
Clear guidance that connects business priorities to executable technical direction.
Clear guidance that connects business priorities to executable technical direction.
What this final version improves
Cost first, not tool firstGovernance starts from spend, ownership, risk, and operational accountability.
Guardrails over bureaucracyPractical controls that make delivery safer without slowing engineering teams unnecessarily.
Platform patternsReusable workflows, golden paths, and runbooks that reduce dependency on senior engineers.
AI where it helpsAI-agent workflows are introduced where they improve reporting, triage, or operations in measurable ways.
Where we typically help
These solution areas help prospects quickly identify how your services map to their business problem.
Cloud cost waste and ownership gaps
For teams where cloud spend is growing faster than revenue, engineering capacity, or governance maturity.
For teams where cloud spend is growing faster than revenue, engineering capacity, or governance maturity.
Landing zones that need rescue
For AWS accounts or Azure subscriptions created quickly and now missing consistent standards.
For AWS accounts or Azure subscriptions created quickly and now missing consistent standards.
Platform engineering foundations
For teams stuck with repetitive DevOps work, inconsistent CI/CD, slow onboarding, and risky production changes.
For teams stuck with repetitive DevOps work, inconsistent CI/CD, slow onboarding, and risky production changes.
Operational automation opportunities
For reporting, support triage, customer success, and internal workflows where AI agents can reduce manual load.
For reporting, support triage, customer success, and internal workflows where AI agents can reduce manual load.
Technology focus
Broad enough to establish trust, focused enough to feel intentional.
A simple consulting motion buyers understand
This makes the engagement model feel structured, premium, and easier to trust.
01
Discover
Understand goals, environment, risks, and constraints to define the right entry point.
02
Assess
Review current architecture, cost posture, tooling, visibility, and operating model gaps.
03
Design
Create target-state architecture, roadmap, priorities, and execution recommendations.
04
Enable
Support implementation, governance, optimization, and operational improvement over time.
Frequently asked questions
Sharper questions and clearer answers for the things serious buyers usually want to know before the first conversation.
The best starting point is the free Cloud Waste & Governance Snapshot. From there, the work can move into a 7 to 14 day cost governance sprint, landing-zone rescue, platform engineering accelerator, or monthly governance retainer.
DigiScience is best suited for SaaS, technology, and cloud-heavy companies that need senior help with AWS or Azure cost control, landing-zone guardrails, platform engineering foundations, and pragmatic AI automation.
Yes. Engagements can cover AWS-led, Azure-led, hybrid, and multi-cloud platforms where governance, cost visibility, landing-zone maturity, or operational standards need improvement.
Yes. Many engagements start before implementation with an assessment, cost and risk review, target-state architecture, governance model, or platform roadmap so execution begins with clarity.
Typical deliverables include cloud spend findings, tagging and ownership recommendations, IAM and governance notes, rightsizing backlog, landing-zone guardrails, GitHub Actions templates, runbooks, roadmap decks, and executive reports.
Absolutely. Each packaged offer can be delivered independently, combined into a broader program, or continued through the monthly cloud governance retainer.
Once you submit the form, your enquiry is reviewed and the DigiScience team will follow up using the contact details you shared.
Talk to DigiScience
Speak directly with DigiScience about cloud cost, governance, landing-zone, platform engineering, or AI automation priorities. Share your requirements and we will come back with the right next step for your engagement.
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Founder-led response
Your request is reviewed with direct attention so conversations start quickly and with the right context.
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Clear next steps
Use the form to share your current challenge, expected outcome, and service area of interest.
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Focused consulting conversations
Ideal for free cloud snapshots, cost governance sprints, landing-zone rescue, platform engineering accelerators, and monthly governance retainers.
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Business enquiries
rajiv.gupta@digisciencetechsol.com
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Office Address
Digiscience Techsol Private Limited
NSIC Metro, 94, Old Ishwar Nagar,
Shambhu Dayal Bagh, Bahapur,
Okhla New Delhi, Delhi - 110065
NSIC Metro, 94, Old Ishwar Nagar,
Shambhu Dayal Bagh, Bahapur,
Okhla New Delhi, Delhi - 110065
Request a consultation
Share your requirement and we will review it and get back to you with the right engagement approach.