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AI consulting for teams in the UAE, UK and US

Know where AI will pay off. Then get it built.

AI strategy, products, software rewrites and audits. One senior team, from the first decision to production.

Where our people have worked and studied. Individual experience, not client relationships.

decision-brief / claims-assistantIn progress
  1. Audit
  2. Options
  3. Decision
  4. Build plan

Should we build or buy an AI claims assistant?

Five-year total cost of ownership

Build in-house...
14 months, 9 engineers
Buy and integrate...
5 months, 3 engineers
Buy the core, build the edge...
8 months, 5 engineers
RecommendedBuy and integrate. Build only the claims-routing layer. Revisit in 12 months.
Illustrative example, not client data.

Where our people have worked and studied. Individual experience, not client relationships.

Most companies do not have an AI problem. They have a decision problem, then a delivery problem. We solve both.

Whatever your seat, start with your question.

You are asking

Where will AI actually move the business, and are we falling behind?

You get

  • Opportunity map
  • Board-ready roadmap
  • Risks in plain English
Take the AI readiness scorecard

One engagement, from question to shipped system.

  1. Diagnose

    Audit tech, data and team. Ranked findings.

  2. Decide

    AI bets, build vs buy, a sequenced roadmap.

  3. Build

    The same team ships it, tested on your cases.

  4. Hand over

    Code, docs, monitoring and a team to own it.

Strategy, product, software and audit. One senior team.

AI strategy

Where do we start with AI, and what do we skip?

You get

  • Readiness assessment
  • Ranked use cases
  • Roadmap
  • Board summary

Work AI takes off your team.

Typical first projects. Your people stay in control.

Invoices and payables

  1. Reads the invoice
  2. Matches the PO
  3. Routes exceptions

Finance reviews every exception

Support triage

  1. Classifies the request
  2. Drafts the reply
  3. Escalates the hard ones

Agents approve sensitive replies

Onboarding and document checks

  1. Extracts the fields
  2. Checks the rules
  3. Flags gaps

Reviewers sign off every flag

Reporting and briefings

  1. Pulls from your data
  2. Explains the change
  3. Sends the brief

Read-only until you say otherwise

Start with one process

Four ways to work with us.

Scoped and priced up front.

1

Audit

See the real picture

Fixed scope

2

Strategy sprint

Get a decision and a roadmap

Weeks, not quarters

3

Build

Ship it to production

Pilot first

4

Embedded team

Senior capability inside yours

With an exit plan

Work we have led, across industries.

30+
engagements delivered
8
senior engineers and strategists
4
continents of operating experience

Travel and hospitality, India and Middle East

40%+

cost reduction opportunity found

One technology strategy across 12+ entities

Recommerce marketplace, Malaysia and Vietnam

2

markets scaled with AI in the core product

Product and engineering, two countries

Fintech, India

Live

ML-driven investment platform in production

Quantitative product for retail investors

Client names withheld or generalised.

Meet the people who do the work.

Named, senior, and on your engagement from the first call.

Kranthi Kumar

AI and product strategy

  • IIT Kanpur
  • Carousell
  • 11 years building products

Harsh Wardhan

Strategy and operations

  • IIM Calcutta, rank 3
  • Ex-Bain Manager
  • IIT Roorkee

Aditya Khandelwal

AI and travel tech

  • IIT Delhi
  • Dubai, Mumbai, Montreal
  • SaaS product building

Uchit Kumar

AI products and agents

  • VP Engineering, Ekai
  • Co-founder and CTO, RAZE
  • IIT Kanpur

Ans Karthik Krishna

Distributed systems and big data

  • Google
  • Ex-Walmart Global Tech
  • IIT Kanpur B.Tech and M.Tech

Rachit Tripathi

Data science

  • Ex-Goldman Sachs VP
  • UC Berkeley MS Financial Engineering
  • IIT Kanpur

Keshav Sehgal

Risk and quantitative models

  • Ex-Goldman Sachs, 8 years
  • IIM Calcutta
  • IIT Roorkee

Sunidhi Sharma

Strategy and operations

  • BITS Pilani
  • Jadavpur University

Know where AI will pay off in your business?

Book a scoping call

Advice you can defend to your board.

We say when not to build

Sometimes the cheaper step wins.

Independent advice

We build so the model and the vendor can change.

Your data, your region

We work in your environment or a region you choose.

People approve what matters

Approval steps and audit logs are part of the build.

Tested before launch

Evaluations built from your own cases.

You own the code

Handed over in your repository, with documentation.

Working across the UAE, UK and US.

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Dubai local time

United Arab Emirates

  • Arabic and English
  • GCC and agentic AI practice
GCC and agentic AI
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London local time

United Kingdom

  • Fixed-scope engagements
  • Written governance for risk teams
--:--

New York local time

United States

  • Fast scoping
  • Integrates with your stack

Tell us what you are trying to decide or build.

  • 30-minute call
  • Written scope and quote
  • A straight answer

Reply within one working day. Or email kranthi@theinflect.com

Please do not include personal or confidential data in this form.