AI Strategy - Start your AI Transformation journey today!

Define a clear path to AI value. From business case to operating model, we help you navigate the AI transformation journey with confidence and clarity.

Birth of AI-First organizations

The evolution from traditional organizations to AI-First enterprises - where we are, and where we're heading

❓

AI Beginner

  • Waits for competitors to make the first move
  • Often time leadership thinks AI is not applicable for them
  • Considers AI as security risk. Blocks employees access to AI tools
  • Risk and innovation averse
Early Stage
🏢

AI Explorer

  • Treats AI just as a technology
  • Automating some of the existing business processes using AI and agentic AI
  • Adding AI sporadically in existing apps
  • AI is used in few functions - IT, sales, marketing
  • Mostly bottom up, lacks complete involvement of C-Suites
Exploration Stage
🤖

AI-First

  • Reinventing business processes for AI era
  • Actionable AI strategy (both top down and bottom up approach)
  • Complete leadership/C-Suites involvement
  • Active monitoring of AI adoption and governance
  • AI is used across all functions
  • New service/products created for AI era
Mature Stage
Transformation Journey

Our perspective and approach

Our Perspective on AI

Our perspective

VisionTomoro has been formed as a next gen, premier, neo-consulting and digital service provider. We blend consulting and deep engineering. VisionTomoro strongly believes that having a strong AI strategy is key for enterprise wide AI adoption and getting the business value (ROI) from AI investments. A strong AI strategy should focus on business, people, responsible usage of AI and technology. Successful AI strategy should embed data, infrastructure and security.

Our Approach to AI

Our approach

  • Start with setting up a strong AI strategy involving business, IT, product/ engineering and functional and leadership teams
  • Create a clear business case for AI investments detailing the expected benefits, costs, ROI, and risks
  • Identify and prioritize high-impact use cases for AI investments
  • Setup a AI Center of Excellence (CoE) to drive AI adoption and governance
  • Conduct an assessment for AI readiness across strategy, business value, AI, data, technology, people and operations pillars
  • Setup Responsible AI principles and governance framework
  • Ensure that evals, guardrails, observability and monitoring are in place
  • Identify KPIs and metrics to measure the success of AI investments
  • Perform a POC, and based on the results move it to production.
  • Communicate the results to the business and stakeholders

Our offerings

STRATEGY

AI Strategy

Develop comprehensive AI strategies aligned with your business vision, focusing on tangible value creation and sustainable competitive advantage.

ASSESSMENT

AI Business Case and Readiness Assessment

Evaluate organizational readiness, identify high-impact use cases, and build robust business cases for AI investments.

ADVISORY

AI Advisory

Expert guidance on technology selection, vendor landscape, and implementation roadmaps to mitigate risks and accelerate adoption.

OPERATE

AI Operating Model

Design and implement the right operating model, governance structures, and capabilities to scale AI across the enterprise.

BUILD

Agentic AI

Build autonomous AI agents that can perform complex tasks, make decisions, and interact with systems with minimal human intervention.

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OPS

LLMOps and AgentOps

Manage, monitor, and optimize large language models and AI agents in production, ensuring performance, reliability, and cost efficiency.

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AI adoption framework

Develop comprehensive AI strategies aligned with business vision, focusing on tangible value creation and sustainable competitive advantage.

  • AI strategy development and roadmap creation
  • Business case and ROI analysis
  • AI governance and operating model design
  • AI Center of Excellence setup
  • Change management and stakeholder alignment

Evaluate organizational readiness, identify high-impact use cases, and build robust business cases for AI investments.

  • AI readiness assessment across all pillars
  • Use case identification and prioritization
  • Value realization and KPI definition
  • Risk assessment and mitigation strategies
  • Investment planning and budgeting

Ensure data quality, governance, and availability for AI initiatives through modern data platform engineering.

  • Data strategy and architecture
  • Data governance and quality management
  • Data platform modernization
  • Vector databases and RAG implementation
  • Data privacy and security

Expert guidance on technology selection, vendor landscape, and implementation roadmaps to mitigate risks and accelerate adoption.

  • Technology stack evaluation and selection
  • Cloud platform assessment (AWS, Azure, GCP)
  • AI infrastructure optimization
  • Integration architecture design
  • Scalability and performance planning

Embed ethical guardrails, fairness checks, and transparency into AI systems to ensure responsible and trustworthy deployment.

  • AI ethics framework development
  • Fairness and bias detection
  • Explainability and transparency
  • Privacy protection and compliance
  • AI risk management

Build AI capabilities and skills across the organization to drive adoption and innovation.

  • AI skills assessment and development
  • Training programs and certifications
  • AI talent acquisition and retention
  • Change management and adoption
  • AI literacy programs

Implement ops pipelines for monitoring, evaluation, and lifecycle management of LLMs and autonomous agents.

  • LLMOps and AgentOps implementation
  • Model monitoring and observability
  • Performance optimization
  • Cost management and optimization
  • Incident response and troubleshooting

Workspace Copilots

ChatGPT

Expertise in leveraging major AI platforms for scalable model deployment and management, ensuring robust performance and security.

Microsoft 365 Copilot

Adopt Microsoft 365b Copilot across office suite for your organization to improve productivity and creativity. Ground your copilots with your organization's data. Monitor your enterprise wide adoption. Build custom copilots tailored to your business needs using Copilot Studio.

Anthropic Claude

Building intelligent agents using frameworks like LangChain, LangGraph, and CrewAI to automate complex workflows and decision-making.

Google Gemini

Implementing ops pipelines for monitoring, evaluation, and lifecycle management of LLMs and autonomous agents.

Salesforce Agentforce

Embed ethical guardrails, fairness checks, and transparency into AI systems to ensure responsible and trustworthy deployment.

RAG and Vector DBs

Retrieval-Augmented Generation architectures using vector databases (Pinecone, Milvus, Weaviate) to ground AI in enterprise data.

AI Infrastructure

Optimizing compute, storage, and networking infrastructure for high-performance AI workloads and model training.

Cloud and hyperscale's

Deep experience with AWS, Azure, and Google Cloud AI services for building cloud-native AI solutions.

Data platforms

Modern data platform engineering (Snowflake, Databricks) to ensure data quality and availability for AI initiatives.

Our success stories

Cloud Migration

Large cloud migration / J2C modernization

Client: UK-based Automobile and Home Insurer. 500,000 quotes a day, 4 million customers

Scope: Migration of Guidewire, Apps (100+), APIs, Microservices, Data, Infra and DevOps to Azure.

Europe's first successful modernization and migration of Guidewire to cloud (> 15 mil GBP)

Tech stack: Azure, Azure VMware Solution (AVS), APIM, Snowflake, Azure Data & Integration, Guidewire

Outcome: Increased performance by 1.6 times. 4 to 5 times faster insurance adjustments. Legacy-free IT estate, APIfication, automation, data modernization, and operational cost savings.

Legacy Modernization

Legacy modernisation and cloud migration

Client: Asia based health insurance and financial services major

Scope: Modernization and cloud migration of legacy and complex apps to Azure.

Apps: 20+

Lines of code: 2 million +

Technology: Azure, Java, .NET, Sybase, SQL Server, DB2, WebSphere MQ

IT Strategy

IT & Cloud Strategy and Advisory

Client: Middle east based petroleum and natural gas major

Scope: Define strategy & platform architecture for a new Joint venture organization that would be curved out from parent company

Focus Areas:

  • IT Strategy
  • Hybrid Cloud (OCI, Azure, VMware)
  • Data
  • Platform & App Engineering
  • Automation
  • AI/ML

Deliverables:

  • IT and cloud strategy
  • Roadmap of curve out including app & data
  • Enterprise architecture roadmap

Agentic AI

Placeholder text describing Agentic AI capabilities and solutions. This section showcases our expertise in autonomous AI agents and intelligent automation systems.

Agentic AI