GeekyAnts
Artificial Intelligence Consulting

THE FOUNDATION

AI Discovery Sprint

Define where AI creates measurable business impact – before you build anything.

Most organizations already have AI initiatives in motion. Very few have clarity on which ones will actually move the business.
Schedule an Executive Discovery Session

550+ Engagements Since 2006 — Trusted By

SpringTree
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Google
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KingsleyGate-dark
thyrocare-dark
Metroghar-dark
atsign-dark
Darden
Khata Book
IvySky
khataBook
SKF
Thyrocare
ICICI Securities-dark
MetroGhar
chant
soccerverse
coinup
ICICI
PayPoint
kingsley Gate
pepperfry
SpringTree
weWork- dark
Google
Darden-dark
olivegarden -dark
gooseheadInsurance- dark
KingsleyGate-dark
thyrocare-dark
Metroghar-dark
atsign-dark
Darden
Khata Book
IvySky
khataBook
SKF
Thyrocare
ICICI Securities-dark
MetroGhar
chant
soccerverse
coinup
ICICI
PayPoint
kingsley Gate
pepperfry
SpringTree
weWork- dark
Google
Darden-dark
olivegarden -dark
gooseheadInsurance- dark
KingsleyGate-dark
thyrocare-dark
Metroghar-dark
atsign-dark
Darden
Khata Book
IvySky
khataBook
SKF
Thyrocare
ICICI Securities-dark
MetroGhar
chant
soccerverse
coinup
ICICI
PayPoint
kingsley Gate
pepperfry

SPRINT DELIVERABLES

What You Walk Away With

This is not exploratory output. It is a decision-ready plan that defines where AI should be applied, what should be prioritised, and what should not be built.

Prioritised Use Case List

A prioritised list of AI use cases ranked by business impact — so leadership knows exactly where to invest first.

Value Articulation

A clear definition of where AI will and will not create value. A clear view of what not to build is equally important as what to build.

Pilot Scope

Defined scope with expected outcomes and success metrics for your first AI implementation.

Execution Roadmap

A structured execution roadmap aligned to business priorities — not a list of ideas still to evaluate.

Investment Case

An investment case the leadership team can use to approve and fund the next phase. Decision-ready, not exploratory.

DEFINED OUTCOMES

Review a Sample Discovery Output — Download the DARE Framework Brief

See exactly what a decision-ready Discovery output looks like — use cases ranked, pilot scoped, investment case defined. Before committing to anything.

The Scale Behind the Work

Every engagement is backed by two decades of consistent engineering delivery and over a thousand products shipped to production.
20+
Years of Engineering Products
1000+
Products Shipped to Production
350+
Product Engineers
90
Day Production Warranty
600+
Projects

PROOF OF CONCEPT

What Discovery Has Unlocked

These outcomes were defined during Discovery and validated before any implementation began.

Investment Operations

Deal evaluation cycles reduced from weeks to days.

Real Estate Operations

Invoice processing time reduced from 20+ days.

Enterprise Finance Operations

Analyst capacity shifted from annual tasks to decision-making.

TAKE THE FIRST STEP

Start With Clarity. Then Decide What to Build.

A 30-minute conversation to assess fit and discuss your AI priorities. No sales pitch.
Talk to Our Expert

ENGAGEMENT STRUCTURE

Clear Scope. Fixed Engagement.

The engagement is led by a senior consulting practitioner with direct involvement throughout. No handoff to project teams.

INVESTMENT

Discovery Sprint

A fixed-scope, fixed-fee engagement to diagnose your AI potential and define a decision-ready roadmap.

  • $25,000 fixed fee
  • 3–4 weeks
  • Non-recurring
  • Direct with business and functional stakeholders
  • Led by a senior consulting practitioner throughout

Best for: Organisations ready to define where AI should move the business.

NEXT STEP

AI Pilot Program

Validate ROI on the highest-impact workflows identified in Discovery. Begins only after Discovery is complete.

  • Scope defined in the Discovery Sprint
  • Targets measurable ROI on priority workflows
  • Begins only after the Discovery output is validated

Best for: Teams ready to validate the business case identified in Discovery.

AT SCALE

AI Transformation

Scale AI across the organisation after a pilot has demonstrated measurable ROI.

  • Follows validated pilot ROI
  • Organisation-wide AI scaling
  • Dedicated consulting governance

Best for: Organisations ready to scale AI across functions with proven outcomes.

WHERE WE WORK

Sectors Where Discovery Creates the Most Impact

The Discovery Sprint has been delivered across industries where AI decisions carry significant operational and financial consequences.
Healthcare

Healthcare

Fintech

Fintech

Food and Beverages

Food and Beverages

Manufacturing

Manufacturing

E-Commerce

E-Commerce

Travel and Hospitality

Travel and Hospitality

Hiring

Hiring

Real Estate

Real Estate

Sports

Sports

Education

Education

Social Media

Social Media

On-demand Booking

On-demand Booking

HOW IT UNFOLDS

What to expect during the Sprint

The engagement runs over 3–4 weeks and is structured around focused working sessions. You work directly with business and functional stakeholders throughout. No delegation to delivery teams.
Week 01

Workflow Mapping and Problem Definition.

Identifying core bottlenecks and value leakage points across the business to define where AI can have a measurable impact.
  • Workflow mapping
  • Value leakage identification
  • Problem definition

Week 02

Feasibility Assessment and Use Case Shaping

Evaluating data maturity and technical readiness to determine what is realistically implementable with current systems.
  • Data maturity evaluation
  • System readiness review
  • Use case shaping

Week 03

Prioritisation and Pilot Definition

Ranking use cases by impact vs effort and scoping the first pilot with defined success metrics.
  • Impact vs effort ranking
  • Prioritised use case stack
  • Pilot scope defined

Week 04

Executive Readout, Investment Case, and Roadmap Sign-off

  • Presenting the decision-ready roadmap to leadership with a clear investment case for the next phase.
  • Executive readout
  • Investment case delivery
  • Roadmap sign-off

CUSTOMER STORIES

Our Thinking on AI Prioritisation

Discover the latest blogs on Our Thinking on AI Prioritisation, covering trends, strategies, and real-world case studies.
Google I/O 2026 Mobile Playbook: AI Studio, Android CLI, and Antigravity for App Development
Business

Jun 17, 2026

Google I/O 2026 Mobile Playbook: AI Studio, Android CLI, and Antigravity for App Development

Google I/O 2026 shifted mobile development from code assistance to full lifecycle delivery. This blog breaks down what that means for Android, Flutter, and React Native teams.

Beyond the Chatbot: Architecting Enterprise Workflows with Managed Agents in the Gemini API
Business

Jun 17, 2026

Beyond the Chatbot: Architecting Enterprise Workflows with Managed Agents in the Gemini API

A practical guide to building production-ready agentic workflows with Google's Managed Agents API, covering architecture, governance, and where enterprise teams should start.

Integrating AI with Wearable Healthcare Apps: Architecture, Compliance & ROI
Business

Jun 16, 2026

Integrating AI with Wearable Healthcare Apps: Architecture, Compliance & ROI

A technical and compliance-focused guide for U.S. healthcare founders and providers on building AI-enabled wearable healthcare apps across architecture, compliance, and ROI.

HL7 and FHIR for AI Healthcare Platforms: What It Takes to Build for Production
Business

Jun 16, 2026

HL7 and FHIR for AI Healthcare Platforms: What It Takes to Build for Production

A practical guide covering the HL7 and FHIR standards, production readiness requirements, implementation roadmap, architecture considerations, and compliance controls that AI healthcare teams need to address before enterprise deployment.

Cloud-Native and Cloud-Agnostic Are Not Ideologies; They Are Business-Stage Decisions
Technology

Jun 12, 2026

Cloud-Native and Cloud-Agnostic Are Not Ideologies; They Are Business-Stage Decisions

This blog explains how organizations can balance speed, scalability, and operational flexibility as they grow from startup to enterprise scale.

How AI-Driven Fraud Prevention Reduces Financial Losses and Operational Costs
Business

Jun 12, 2026

How AI-Driven Fraud Prevention Reduces Financial Losses and Operational Costs

This blog examines how AI-driven fraud detection reduces financial losses and operational costs, backed by real data from HSBC, the US Treasury, Visa, and Forter.

View all blogs

Start With Clarity. Then Decide What to Build.

A 30-minute conversation to assess fit and discuss your AI priorities. No sales pitch.

Trusted By

Book a Discovery Call

Start With Clarity. Then Decide What to Build.

A 30-minute conversation to assess fit and discuss your AI priorities. No sales pitch.

Trusted By

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What You Need to Know

Frequently Asked Questions

A standard AI strategy engagement produces a report. The Discovery Sprint produces a decision. It is a structured diagnostic process that maps workflows, assesses feasibility, ranks use cases by impact, and defines a pilot-ready scope before any build commitment is made.