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FRACTIONAL AI OPERATING PARTNER

AI that moves the numbers you care about.

Anthrie is a fractional AI operating partner for owner-led companies. We find the two or three workflows where AI actually pays, put them into production through a specialist delivery partner working under our governance, and stay accountable against a baseline set before anything is built.

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01 · THE PROBLEM

Everyone selling you AI earns more when you spend more.

Software vendors, agencies, consultancies: every incentive in the room points at a bigger bill. So pilots stall, tools go unused, and the Monday report still takes three days. MIT's 2025 study of enterprise GenAI put the figure at 95% of pilots with no measurable P&L impact. That number is contested. The pattern behind it is not, and you have probably watched it inside your own business.

The missing piece is not technology. It is judgment on your side of the table: which workflows will pay, who should build them, and who answers when the number does not move.

That judgment is what we sell. Nothing else. No licences. No build shop. No headcount to keep billable.

02 · THE ENGAGEMENT

Start with the AI Value Diagnostic.

Three weeks inside your business. Four deliverables. One honest answer.

  1. 01 · WEEK 1

    Discover.

    Owner and leadership interviews, systems walkthrough.

  2. 02 · WEEK 2

    Score & baseline.

    Opportunities scored, one KPI baselined.

  3. 03 · WEEK 3

    Synthesise.

    A 90-day plan and a straight recommendation.

  1. An opportunity map.

    Ten to fifteen opportunities in your operations, scored on value, feasibility and adoption risk. The top three, detailed.

  2. A baseline.

    One priority workflow measured properly, so improvement is proven, not claimed.

  3. A 90-day plan.

    What to build first, through which partner, at what budget.

  4. A straight recommendation.

    Including "do not spend on AI yet" when that is the truth.

03 · FIT

Built for owner-led companies.

FIT

You.

The owner runs the company and signs every big decision. Large enough to fund real change. Working systems in place: ERP, CRM or equivalent.

NOT FOR

Not you.

Companies run entirely on Tally and WhatsApp. Not a judgment on the business, just too early for this: AI needs working systems to operate on, and we do not build those systems ourselves. Anyone shopping for a chatbot vendor. Buyers who want a deck, not a decision.

04 · HOW WE WORK

The primary unit of value is a decision.

AI programmes fail when activity outruns judgment. We make the evidence, choice, owner and metric explicit, then preserve what happened so each decision improves the next one.

01

Find.

Interview the people doing the work, inspect the systems and surface the workflows where AI could move a business metric.

02

Decide.

Score value, feasibility, adoption risk and time-to-value. Name the owner, baseline the KPI and choose what earns investment.

03

Deliver.

Put the chosen workflow into production through a specialist delivery partner, on our paper and under our governance, with a 90-day plan.

04

Compound.

Review decisions, assumptions, commitments and outcomes against the baseline every month. Advice evaporates; the record compounds.

Evidence → decision → delivery → measured outcome → better judgment

05 · WHERE AI PAYS

Patterns we see in owner-led companies.

Not case studies. Patterns: the places AI reliably moves a number in businesses like yours.

MANUFACTURING

Quotes going silent

You quote 150 to 200 times a month. Nobody can tell you which quotes went quiet, or why you lost.

AI chases every open quotation and surfaces the deals worth reviving.

METRICQuote-to-order conversion

DISTRIBUTION

The order desk

Orders arrive on WhatsApp, phone and email. Your team re-types them all day.

Orders are read, checked against price, credit and stock, and entered into the ERP.

METRICOrder accuracy

PHARMA

Claims that pile up

Claims, expiry returns and scheme settlements queue for months, and every stockist is unhappy.

Claims are checked against scheme terms and queued for approval; people handle only exceptions.

METRICSettlement cycle time

REAL ESTATE

Leads that die quietly

Portals and brokers send hundreds of enquiries. Fresh ones get called; the rest go cold.

Every lead is qualified, followed up on cadence and revived when silent.

METRICLead-to-site-visit rate

FINANCIAL SERVICES

Files that bounce

Customer files move between teams for days because one document or check is missing.

Documents are read and gap-checked at intake, with one clean checklist for every case.

METRICOnboarding turnaround time

RETAIL & FMCG

Stock in the wrong place

The item customers want is out of stock while slow-moving inventory keeps absorbing cash.

Demand, stock and replenishment signals are watched together so exceptions surface before they cost a sale.

METRICInventory days

06 · FOUNDER

Most owner-led companies do not have an AI problem. They have a "which of these hundred claims is actually worth my money" problem.

Sundeep Kumar spent twenty-five years at IBM and Microsoft, on the other side of that table, helping large enterprises across Asia-Pacific make technology decisions at CxO level. Anthrie brings that same discipline to owner-led companies: finding the two or three workflows where AI moves a number the owner cares about, putting them into production through a specialist delivery partner under our governance, and staying accountable against the baseline.

Deliberately a practice of one: no software to sell, no build shop to run and no bench to keep busy, so the advice carries no thumb on the scale. Build is delivered by partners, on our paper.

SUNDEEP KUMAR · FOUNDER, ANTHRIE

LinkedIn ↗sundeep@anthrie.com
Sundeep Kumar, founder of Anthrie

07 · ONE QUESTION

What are you most tired of chasing?

Choose the problem closest to your business. The message writes itself.