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Inspect the offer before the first conversation

DigiScience starts with a bounded Cloud and AI Cost Governance Snapshot. These assets show the buyer promise, sample output, delivery process, and data-handling approach without relying on inflated claims or fake proof.

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Cloud and AI Cost Governance Snapshot

For SaaS, technology, and cloud-heavy teams that are scaling infrastructure, adopting AI tools, or seeing cloud bills become harder to explain.

Best fit

  • 50-300 employee SaaS or technology companies.
  • AWS, Azure, Google Cloud, Kubernetes, data, or AI/API spend.
  • Teams preparing for funding, compliance, migration, reliability improvement, or cost control.

Deliverables

  • Executive summary and top 5 opportunities.
  • Governance scorecard across cost, IAM, network, logging, backup, tagging, IaC, and operating model.
  • 30/60/90 day roadmap and optional implementation proposal.

Sample output

Sample Cloud Waste and Governance Snapshot

This sample shows the style of output a buyer can expect. It is not based on a real customer environment.

PriorityFindingImpactSuggested action
P1Non-production compute runs 24x7Cost leakageAdd schedules for dev/test workloads
P1Unattached disks and stale snapshotsCost leakageDelete or archive after owner confirmation
P2Missing owner and cost-center tagsPoor accountabilityEnforce mandatory tags for new resources
P2Broad admin access and stale usersSecurity riskReview privileged roles and remove stale access

Delivery process

Before, during, and after the assessment

01

Before

Confirm business reason, cloud platforms, known pain points, access method, and owners.

02

During

Review billing, usage, IAM, network, logging, backup, tagging, IaC, and AI/API cost visibility.

03

After

Provide findings, action list, 30/60/90 day roadmap, and optional implementation path.

Data handling

Minimum access, practical evidence

Preferred evidence

  • Read-only cloud access.
  • Billing and inventory exports.
  • Architecture diagrams and policy/configuration exports.
  • Screenshots where direct access is not appropriate.

Avoid sharing

  • Production passwords or long-lived admin credentials.
  • Secrets, API keys, private keys, or tokens in chat or email.
  • Unredacted regulated data unless an explicit handling process is agreed.

Readiness checklist

Good first-snapshot signals

Monthly spend has grown faster than expected. Non-production workloads are always on. Owners for spend are unclear. Cloud and AI/API usage is split across teams. Compliance or customer security pressure is increasing. Engineering leaders want a practical action plan quickly.
Start with a 30-minute review