Fluency
A hands-on workshop where your executives learn to work with AI, then design the agents they want for the processes they own. Drafted with us. Owned by you.
a written list of candidate agents
Triage · data support
Cohort 01
#
Concept
Support%
Verdict
Reason
01
Invoice reconciliation
86
Proceeds
Three years of line-item history
02
Demand forecast
34
Cut
Volume history lives in spreadsheets
03
Churn model
41
Cut
No labelled churn events
04
Sales assistant
12
Cut
Conversations were never logged
05
Document intake
76
Hold
Scans unindexed before 2023
06
Route optimisation
29
Cut
GPS traces retained 14 days
07
Price elasticity
22
Cut
Promotions absent from the ledger
08
Shift scheduling
37
Cut
Rosters kept per site, unmerged
08 in · 1 proceeds · 1 hold · 6 cut
Illustrative
Pilot · invoice reconciliation
Week 06
#
Agent
Cost/runCost
Accuracy%
What it decides
01
Invoice matcher
$0.03
96
Which purchase order a line belongs to
02
Line-item extractor
$0.02
98
What each row of a scanned invoice says
03
Duplicate detector
$0.01
99
Whether this invoice has arrived before
04
Vendor resolver
$0.02
93
Which vendor record the payee maps to
05
Tax-code classifier
$0.01
97
Which tax code applies to each line
06
Exception triager
$0.04
91
Who an exception should go to
07
Approval router
$0.01
94
Whose sign-off the invoice still needs
08
Ledger poster
$0.02
99
When it is safe to post to the ledger
08 agents · 95.9% accurate on review
Illustrative
Most AI projects die between the strategy deck and the working system.
We start in your boardroom and finish in production. Four stages, committed one at a time. Nothing gets built until your data says it can carry it.
Two minutes, five questions to begin your AI journey.
Join the companies that trust us.
Most companies start an AI project because they should be doing AI. Then they pick something visible, build it, and find the data behind it was never going to support it.
You find out which ideas your data actually supports before you pay to build a single one.
Four stages. Each one produces something the next one needs.
Triage
We test every idea against the data it would actually run on. You get a ranked shortlist: scoped, priced, and a reason for every cut.
a ranked, costed shortlist
Pilots
We build what you choose. Real data, real users, real run cost. The report tells you whether it earned its place before you commit to Production.
a working system and a test report
Production
You decide what goes live, on evidence rather than a projection. It moves onto your infrastructure, with your team trained to run it.
a live system, owned by you
If you already knew what to build, you wouldn't need us
Runs the
process
Knows the
models
The overlap is the specification
A development firm builds what you specify. The people who run your processes have never been shown what AI can do; the people who know what AI can do have never run your processes. Neither can write the specification alone.
The iAlpha protocol is different. Your executives write the ideas, we test them against your data, and you find out which ones are real before anyone quotes you for a build.
AI practitioners. Not theorists.
iAlpha builds AI systems. We are not a firm that writes decks about them.
We take a small number of engagements at a time, so every one is run by the founders.
Saud is Princeton and Harvard Business School trained, and was previously at Citigroup, PwC and FIFA. Zayed is an IBA medalist and fully AI native, working at the intersection of business and AI.
Between us, we bring 25+ years of leadership across global enterprises in the US, the Middle East and Asia. iAlpha is now an AI-native practice: strategy at one end of an engagement, the systems themselves at the other.
That range is what lets us tell an idea your data can carry from one it cannot.
Who we are
Saud Hashimi
Cofounder & Chief Executive Officer
Runs the boardroom work: the executive sessions, the ranking that comes out of them, and the commercial call on what gets built.
Zayed Hashimi
Cofounder & Chief AI Officer
Runs the build: workflow mapping, data audits, agents, RAG pipelines, and the deployment that puts them into real use.
Every output is reviewed by both founders before it reaches you.
Why iAlpha
-
Each stage has to earn the next
One stage at a time. You never have more than one stage of money exposed. If Triage says your data will not carry it, that is where it stops.
-
You own everything from day one
Models, agents, pipelines, data and IP are yours from day one, with full source code, full documentation and your team trained to run it. The Pilot runs on our infrastructure so we can move fast; at Production it moves to yours and our copies are deleted within 30 days.
-
Founder-run, and engineered to last
The people on your first call are the people in your workshops and in your data. We build the pilot, specify production and sign it off; our engineering partner Delivery Devs engineers it to run. That phase is where agents fail, and it deserves engineers who do nothing else.
-
Checked by us, every time
Every figure is produced by code running against your own data, so it traces back to a row you can find. Nothing that recommends an action reaches you until one of us has read it.
-
When we are full, we say so.
You will not be account number 400. We only take engagements where we are the right firm for adding the most value. If that is not us, we will tell you on the first call.
Most clients start with Fluency, our signature workshop for the people who own the processes.
One of the founders reads your message. Not a coordinator. You'll hear back within two working days.
- Nothing rolls forward without your decision.
- We bill after we deliver, phase by phase.
- We work globally, from the United States and Pakistan.
Or reach us however is easiest:
It is with a founder now. Not a coordinator.
You will hear back within two working days.