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AI & Data

AI Strategy Consulting

An honest read on where AI will and will not pay back — use cases scored on return, data assessed for readiness, and a route from pilot to production.

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DAWKI / AI & DATA
Data readiness
  • CRMClean
  • Support ticketsClean
  • Product docsPartial
  • SpreadsheetsMessy
Where the model would actually get its facts
  1. Discovery
  2. Use-Case Mapping
  3. Roadmap
  4. Activate

Built for your business

AI Roadmaps Built to Deliver Value

From idea to ROI — we help leaders identify high-impact AI use cases, design responsible architectures, and bring them to production.

  • AI Opportunity Discovery

    Workshops to identify, score and prioritise high-return AI use cases.

    • Scored use-case list
    • Workshop record
    • Shortlist with owners
    Learn moreIllustrative: a two-day workshop, funnelled down

  • Build vs Buy Analysis

    Honest evaluation of off-the-shelf versus custom versus fine-tuned solutions.

    • Vendor shortlist
    • Cost model per route
    • Recommendation memo
    Learn moreHonest trade-off: faster to value against more control

  • Data Readiness Audit

    Assessment of data quality, governance and infrastructure for AI-readiness.

    • Data readiness report
    • Gap register
    • Remediation plan
    Learn more

  • Responsible AI Governance

    Bias, safety and compliance frameworks aligned to the EU AI Act and NIST AI RMF.

    • Risk classification
    • Policy set
    • Review cadence
    Learn moreShipped with the pilot, not bolted on after

  • AI Operating Model

    Org design, talent plan and governance for sustainable AI adoption.

    • Org design
    • Decision rights
    • Hiring and training plan
    Learn more

  • Pilot to Production

    Roadmaps, success metrics and execution support from proof of concept onward.

    • Pilot plan
    • Success metrics
    • Production checklist
    Learn more

What we deliver

AI Strategy Services We Offer

Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.

  • AI Opportunity Workshops

    Interactive workshops with leadership to surface high-impact AI use cases.

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  • AI Use-Case Scoring

    Quantitative scoring of use cases by ROI, feasibility, risk, and time-to-value.

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  • AI Maturity Assessment

    Benchmark your data, talent, infrastructure, and governance against industry peers.

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  • GenAI Strategy

    Strategic guidance on LLMs, RAG, and AI agents tailored to your business model.

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  • AI Roadmap Development

    12–24 month phased plans with milestones, dependencies, and ROI projections.

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  • Data Strategy

    Data architecture, governance, and quality strategy aligned to AI ambitions.

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  • Responsible AI & Governance

    Bias, safety, transparency, and compliance frameworks (EU AI Act, NIST AI RMF).

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  • AI ROI & Business Case

    Investment justification, financial models, and success metrics.

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  • Change Management

    Training, communication, and adoption strategies for AI-augmented teams.

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  • Fractional AI Leadership

    Embedded fractional Chief AI Officer to lead strategy and execution.

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From brief to delivery

A clear path from the first conversation.

A practical process with agreed milestones, regular reviews, and a handover your team can use.

  1. Step 01

    Discovery

    Stakeholder interviews, current-state assessment, and AI literacy workshops.

  2. Step 02

    Use-Case Mapping

    Identify, score, and prioritize use cases by ROI, feasibility, and risk.

  3. Step 03

    Roadmap

    Phased plan with technology, data, talent, and governance components.

  4. Step 04

    Activate

    Execution support — pilots, vendor selection, governance, and change management.

Tools of the trade

The right technology for the work.

We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama 3
  • Mistral
  • LangChain
  • LlamaIndex
  • Pinecone
  • Weaviate
  • pgvector
  • Vercel AI SDK
  • Replicate
  • OpenAI Whisper
  • ElevenLabs
  • Weights & Biases

Your next step

Request a free consultation

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How we use your details. We collect only what you enter here — your name, mobile number and email, and your company, budget and message if you add them — to reply to this enquiry, prepare a proposal and follow up about it by phone, email or WhatsApp. We don’t sell your data or use it for anything else. You can withdraw consent, or ask to see, correct or erase your data, at any time by emailing info@dawkiinfotech.com; if we don’t resolve a concern, you can complain to the Data Protection Board of India. Full details in our Privacy Policy.

Before we begin

Your questions, answered.

What to know about ai strategy consulting, from project scope to ongoing support.

01What is AI strategy consulting?

AI strategy consulting helps organizations identify, prioritize, and execute AI initiatives that deliver real business value — covering use cases, data, talent, governance, and ROI.

02How do I know if AI is right for my business?

Most businesses have at least a few high-ROI AI opportunities. Our discovery workshops surface and score them so you invest only where it pays off.

03Should we build or buy AI?

Both have a place. Buy commodity capabilities, build where AI is core to your differentiation. We help analyze the trade-offs.

04What is responsible AI?

Frameworks for fairness, safety, transparency, and accountability — increasingly required by regulation (EU AI Act, NIST AI RMF) and customers.

05How long does an AI strategy engagement take?

Discovery and strategy phases typically run 6–10 weeks. Roadmap execution support extends across 6–18 months.

06Do you also implement the AI solutions?

Yes. We have separate AI Agent Development and Data Engineering practices that execute the roadmaps we design.

07How do you measure AI success?

We tie use cases to specific KPIs — revenue lift, cost savings, cycle time, accuracy, NPS — and report on them through delivery.

From the blog

Ideas behind the work.

Practical guides from the team that does it, updated as we learn.

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Technical SEO First: 10 Fixes to Make Before You Publish Another Page

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A conversation is a good start

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