About
We map the work. Then we build it.
Technology should remove work, not add a system to manage.
Koderead Solutions LLP has been building software since 2019. The same team finds the expensive, slow and repetitive parts of a business — and implements what should change.
Why we changed what we sell
For years the request arrived already specified. A client wanted an app, or a portal, or a website, and we built it well. The work was good and the outcome was sometimes disappointing — because the thing that was actually costing them money was two departments away from whatever had been scoped.
AI sharpened that problem into something impossible to ignore. Businesses now arrive asking for AI the way they used to arrive asking for an app: as a solution, before anyone has agreed on the problem. Answering that request literally produces impressive pilots that nobody adopts.
So we moved the engagement earlier. We start by mapping how the business actually works — not the process in the handbook, the one people follow — and we let that decide what gets built. Sometimes the answer is an AI agent. Sometimes it is an integration, a better form, or telling a client that their highest-value fix is not software at all.
Koderead finds the work that is costing you money, then builds the system that removes it.
Understand before building. Automate before adding headcount. Measure outcomes, not features.
How we work
What we believe
Six positions we will defend.
Understand before building
No code is written until the workflow map is agreed. This is the stage most vendors skip and most failures trace back to.
Automate before adding headcount
The cheapest hire is the one the process no longer needs — but only after the process itself is sound.
Measure outcomes, not features
Shipped is not the same as working. The metric is agreed before the build and reported after it.
Keep humans where judgement matters
Scope of authority is written down and signed. A system nobody can describe the limits of is a liability.
Show the working
Every recommendation carries its assumptions. If we estimated something, we say we estimated it and how.
Build systems that evolve
Configuration is handed over. Your ops lead should be able to change a threshold without raising a ticket with us.
Track record
What we have actually done.
Figures from our own records, with the context each one came from.
- 550+
- Projects deliveredAcross mobile, web, data and automation since 2019.
- 80+
- Businesses servedStartups through to established mid-market companies, internationally.
- 40%
- Increase in bookingsA fitness studio, in the first three months after its booking system was rebuilt.
- 2×
- Organic trafficWithin six months of a website rebuild and search engagement.
Figures from our own records. The two outcome numbers come from specific client engagements; the clients are not named.
Ideal client
Who this is built for
Not anyone who needs a website. AI transformation has obvious economic value in a specific kind of company, and vague targeting produces vague work.
Established SMEs and growth companies, typically 10–500 people, with existing revenue.
Signals we look for
- Repetitive operations that scale with headcount
- Several software systems that do not talk to each other
- Meaningful customer-support or enquiry volume
- A sales team doing administrative work
- Spreadsheets acting as a system of record
- Software that is old enough to constrain the business
- Management actively interested in AI
- Budget to implement rather than only to explore
Where we are the wrong firm
- Pre-revenue startups looking for a build partner — there is no workflow to map yet
- Companies wanting a specific technology delivered to spec, where the diagnosis is already done
- Anyone who needs a number before anyone has looked at their process
The engineering underneath
The consulting only matters because we can build.
Strategy decks are cheap. What makes a workflow map worth paying for is that the same team implements it, integrates it with your existing systems and stays to measure whether it worked.
AI, automation, integration, mobile, web, cloud, data and interface engineering all still happen here. They sit underneath the transformation work rather than in front of it — capability, not positioning. We do not lead with a framework or a vendor partnership; what gets used is whatever the workflow actually calls for.
- Founded
- 2019
- Entity
- Koderead Solutions LLP
- Founder
- Krunal Sutariya
- Focus
- AI business transformation
- Markets served
- United States · United Kingdom · European Union · India
Start with the analysis, not the proposal.
We would rather tell you where your opportunity is and let you decide who builds it than sell you a transformation you have not scoped.