AI-first service catalog

Services built around business outcomes, not generic IT activity

DigiScience Techsol designs, builds, secures, and operates governed AI solutions on Azure, AWS, and GCP. Every engagement connects business problem, AI-enabled outcome, secure cloud architecture, governance controls, measurable value, and proof assets.

AI transformation portfolio

These packages are designed for enterprise buyers who need practical AI adoption with security, governance, and cloud readiness built in from day one.

Industry AI transformation across operations, documents, customers, and decisions
AI

AI Industry Transformation Solutions

Convert industry pain points into AI use cases that improve productivity, revenue intelligence, compliance readiness, customer experience, and operational efficiency.

Predictive analyticsDocument intelligenceDecision support
Secure AI cloud platform architecture
SP

Secure Enterprise AI Cloud Platform

Build secure AI landing zones with private networking, IAM/RBAC, observability, audit logging, data classification, and cost governance.

Azure OpenAIAWS BedrockVertex AI
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Responsible AI governance and agent control console
RG

Responsible AI Governance and Agent Control

Implement prompt security, model governance, human approval, hallucination risk controls, audit trail, agent control, and compliance mapping.

Human-in-loopAudit trailModel risk
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AI-ready DevOps and MLOps pipeline
DO

AI-Ready DevOps and Platform Engineering

Create secure delivery patterns for MLOps, LLMOps, DevSecOps, CI/CD, Kubernetes, release approvals, and production observability.

MLOpsLLMOpsDevSecOps
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Cloud modernization roadmap for AI readiness
CM

Cloud Modernization for AI Readiness

Modernize only what is required to make cloud, data, security, and delivery foundations ready for governed enterprise AI adoption.

Data readinessCloud readinessSecurity readiness
45-day industry AI pilot roadmap
45

Industry AI Pilot in 45 Days

Prove one high-value use case with scope, architecture, success metrics, governance controls, working pilot, and scale roadmap.

Pilot scopeSuccess metricsScale roadmap
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Start with the smallest useful business proof

We recommend beginning with an AI Readiness Assessment, then moving into a focused 45-day pilot only after the use case, data, platform, risk, and success criteria are clear.

Start AI Readiness Assessment