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Pilot-friendly enterprise AI pricing

Start small, prove value, then scale AI with governance

DigiScience packages AI work as one-time setup plus monthly managed support, so buyers can understand the commitment before a discovery call. Prices are intentionally positioned for early customers while preserving secure cloud architecture, governance, and practical delivery.

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Transparent starting packages

Choose the smallest useful AI proof

Each package has clear deliverables. Final scope is confirmed after discovery, but the public price gives buyers a realistic starting point without showing intimidating enterprise transformation ranges.

Entry offer

AI Readiness Assessment

INR 49K / USD 599 one-time

No monthly commitment

Ideal for teams that want a practical AI roadmap before funding a pilot.

  • Discovery workshop with business and technology stakeholders
  • AI opportunity scan across 3-5 candidate use cases
  • Data, cloud, security, and governance readiness review
  • Risk, complexity, and business value scoring
  • Recommended first pilot with success metrics
  • 30/60/90-day roadmap and executive summary
Start assessment
Launchpad

AI Pilot Starter

INR 75K / USD 899 per month

+ one-time setup from INR 2.5L / USD 3K

Ideal for one focused AI workflow where the buyer wants a controlled proof of value.

  • One AI assistant, document workflow, or decision-support prototype
  • One knowledge base or document collection connected
  • Up to 2 standard integrations
  • Basic prompt security and response guardrails
  • Human approval step for sensitive actions
  • Usage, quality, and cost dashboard
  • Cloud deployment on Azure, AWS, or GCP
  • Monthly review and 30-day stabilization support
Good first use cases

Policy assistant, HR screening helper, legal document Q&A, customer query assistant, or simple operations workflow.

Discuss starter pilot
Most popular
Accelerator

AI Pilot Growth

INR 1.5L / USD 1,799 per month

+ one-time setup from INR 5L / USD 6K

Ideal for a department-level pilot with multiple workflows, integrations, and governance controls.

  • 2-3 AI workflows, assistants, or document intelligence flows
  • Up to 5 integrations with business systems
  • Role-based access and data classification rules
  • Prompt injection and sensitive-data controls
  • Human-in-loop review and approval workflow
  • Audit trail, monitoring, and AI cost dashboard
  • Pilot success metrics and user feedback loop
  • Monthly optimization review and 60-day support window
Good first use cases

Contract review, healthcare admin workflow, BFSI compliance assistant, retail demand intelligence, or manufacturing anomaly pilot.

Request growth package
Platform

Governed AI Platform

INR 3L / USD 3,499 per month

+ one-time setup from INR 9L / USD 10K

Ideal for companies that want a secure internal AI platform, not just a single chatbot.

  • Secure AI landing zone design and deployment pattern
  • Private networking, IAM/RBAC, and environment separation
  • Enterprise knowledge assistant foundation
  • Responsible AI policy, model usage rules, and prompt controls
  • Human approval workflows and hallucination risk controls
  • Audit logging, monitoring, and cost governance dashboard
  • LLMOps release workflow and admin handover documentation
  • Monthly governance review and backlog prioritization
Good first use cases

Internal AI platform, governed agent factory foundation, secure knowledge assistant, or regulated document intelligence base.

Plan AI platform
Enterprise / regulated

Regulated AI Transformation

Custom quote after discovery

For BFSI, healthcare, legal, insurance, government, and private cloud needs

Ideal when compliance, data residency, security review, complex integrations, or multi-department rollout changes the delivery risk.

  • Multi-department AI platform or industry-specific solution
  • Advanced compliance mapping and AI risk register
  • SSO, advanced IAM/RBAC, and data residency controls
  • Private cloud, hybrid, or customer-managed deployment pattern
  • Custom approval chains, audit evidence, and governance dashboard
  • Architecture board support and production rollout plan
  • Dedicated support model and custom SLA when required
Request enterprise scope
Included in every build package

Professional delivery without overpricing the first conversation

The monthly fee covers operating support and improvement cadence. The setup fee covers design, configuration, integration, testing, and launch.

Secure cloud architecture baseline
Responsible AI and prompt safety review
Basic monitoring, logging, and cost visibility
Handover documentation and team walkthrough
Monthly review call for active packages
Clear scope, assumptions, and buyer responsibilities

Start with the lowest package that can prove value

For most new customers, DigiScience should recommend either the AI Readiness Assessment or AI Pilot Starter first. Bigger platform work should come only after the use case, data access, integrations, governance needs, and success criteria are clear.

Request package quote

Pricing questions buyers usually ask

Start with the AI Readiness Assessment. It confirms the use case, data readiness, cloud readiness, risk controls, success metrics, and recommended pilot path before a larger build is proposed.

No. Cloud usage, LLM tokens, paid third-party tools, and unusually complex integrations are quoted separately after discovery so the buyer can control consumption and vendor choice.

AI Pilot Starter is best for one focused workflow. AI Pilot Growth is better when a department needs multiple workflows, integrations, role-based access, audit trails, and formal governance controls.

Yes. DigiScience designs secure AI solutions on Azure, AWS, and Google Cloud, including Azure OpenAI, AWS Bedrock, Amazon SageMaker, Google Vertex AI, monitoring, security, and cost governance patterns.

Custom pricing is used when the scope includes regulated workflows, data residency, private or hybrid cloud, architecture board review, multi-department rollout, advanced compliance mapping, or complex integrations.