01 —
Diagnose
Find where time, money and opportunities are actually going.
Process analysis · AI-readiness audits · ROI-led implementation planning
We don’t start with AI. We start with the business.
Aljebral finds where a growing business is losing time and revenue, then builds the systems that close the gap.
See it working Strategy, implementation, and outcomes you can measure.
02 — The problem
Your business has probably outgrown the way it works.
- Symptom 01Leads go cold because nobody remembered to follow up.
- Symptom 02The same manual task gets done forty times a month.
- Symptom 03Information lives in five places and agrees in none of them.
- Symptom 04Nobody can say which part of the sales process is actually leaking.
Most owners already suspect AI and automation could help here. What they don’t have is a clear read on where to start, what’s worth building, and what will still be working in six months.
03 — What we do
We turn inefficient processes into systems that hold.
02 —
Automate
Take the repetitive work out of the day.
Workflow automation · WhatsApp and email automation · Document and proposal automation
03 —
Build
Put AI inside the work, not beside it.
Custom internal tools · AI-enabled workflows · LLM-powered processes
04 —
Sell
Make revenue a process instead of an effort.
Sales process design · Follow-up and nurture systems · Sales performance analysis
04 — The approach
A new tool is not automatically a better system.
We understand the problem first, then decide whether technology is the right answer to it. Sometimes it isn’t, and we’ll say so.
- 01
Understand.
How does the business actually work today?
- 02
Identify.
Where are time, money or opportunities being lost?
- 03
Strategize.
What should change, and what should be left alone?
- 04
Implement.
Build it and fit it into the existing workflow.
- 05
Measure.
Did the business get better?
05 — See it working
Watch a manual process become an automated one.
Business software should be easy to understand before it’s bought. Each walkthrough is two minutes and shows the before, the after, and what the difference is worth.
Before — by hand, in a spreadsheet
After — generated, branded, in minutes
From spreadsheet → structured proposal
A quotation built by hand in Excel becomes a branded document generated in minutes.
Watch the walkthrough →recording in progress
From missed follow-up → automated follow-up
Prospects get followed up on a schedule instead of on somebody’s memory.
Watch the walkthrough →recording in progress
From repetitive task → automated workflow
A routine process runs itself, and the person who used to run it does something better.
Watch the walkthrough →recording in progress
From conversation → AI-enabled process
AI handles a specific communication task without turning the business into a technology project.
Watch the walkthrough →recording in progress
06 — Case studies
Real problems. Practical systems. Measurable outcomes.
Every engagement answers three questions: what was happening, what changed, and what it achieved.
-
00
turnaround per quote
Built for a solar EPC
Proposal generation
- The problem
- Every quotation was built by hand in a spreadsheet, re-keyed into a document, and checked by the same two people.
- The system
- An intake form that feeds a proposal generator. Sizing, pricing and the branded PDF come out of one set of inputs.
- The result
- Turnaround time per quote. metric pending
View case study →write-up in progress
-
00
response time on enquiries
Built for a solar EPC
Inbound lead handling
- The problem
- WhatsApp enquiries landed on one phone. Some were answered in minutes, some the next day, and nobody could say how many were never answered.
- The system
- Each inbound message is logged, qualified against a short set of questions, and answered with a first reply.
- The result
- Response time and enquiries lost. metric pending
View case study →write-up in progress
-
00
follow-ups completed on time
Built for a solar EPC
Pipeline visibility
- The problem
- Deals were tracked in a spreadsheet that was accurate on the day it was updated. Follow-ups happened when someone remembered.
- The system
- A lead tracker that works on a phone. Every deal has a next action and a date, and the list sorts itself by what is due.
- The result
- Follow-ups completed on time. metric pending
View case study →write-up in progress
07 — Practices
Four things we do. Three industries we know well.
The work is the same. The context isn’t.
AI
The core practice. Automation and AI systems for businesses that want to modernize how they operate.
Explore AI
Solar
Sales, proposal and operations systems built from inside the industry. Written by someone who ran solar sales, not researched from outside.
Explore Solar
Sales
Process, tracking, follow-up and training for businesses that have outgrown ad-hoc selling.
Explore Sales
08 — Why Aljebral
Technology is only useful when it creates business value.
We’ll tell you when the answer isn’t AI.
If the build won’t pay for itself, you’ll hear it before you pay for it.
We don’t stop at recommendations.
A slide deck is not a deliverable. Working software in your workflow is.
Sophistication doesn’t require an enterprise budget.
Most of what a growing business needs can be built lean and run cheap.
We learn the workflow before we propose anything.
Every engagement starts by watching how the work is done today.
09 — How we work
What a first engagement looks like.
- 01
A conversation.
You describe what’s slow, expensive or unreliable. No cost.
- 02
A short diagnostic.
We map the process and come back with what’s worth fixing, what it would take, and what it’s worth. Fixed scope, fixed fee.
- 03
Build.
We implement the highest-value item and put it into your workflow.
- 04
Measure and extend.
If it worked, we do the next one.
Most first projects run two to four weeks. We work remotely and asynchronously, with a standing weekly call where it helps.
10 — About
A specialist practice built around better ways of working.
Aljebral is a boutique advisory practice helping growing businesses modernize their sales, operations and processes through automation and AI.
The practice is led by Ajmal, who spent his career in solar sales and proposal engineering across India and the Gulf before building the systems he’d wished existed. Specialist engineers and designers join for specific implementations.
The method is deliberately simple: understand the business, find the friction, build the system, measure the difference.
More about Aljebral →page in progress
11 — Who we work with
Built for businesses ready to change how they operate.
This works best if you:
- Run an established service or sales operation
- Do enough volume that a slow process costs real money
- Can point at a specific problem, not a general unease
- Are willing to change how something is done today
- Would rather have one measurable improvement than five new tools
It works badly if you want a technology partner but no change in process, or if nobody internally owns the outcome.
12 — Questions we get asked
No. If you had one, you’d probably be building this yourself.
It stays in systems you own and control. We’ll tell you exactly what tool touches what before anything is built.
The diagnostic tells you the expected return before you commit to a build. If the numbers don’t hold up, we say so and you’ve spent very little finding out.
Most first builds are live inside a month.
Both. Most engagements start as a project and continue if it earned the right to.
13 — Start here
What could your business be doing better?
Tell us what’s taking too long, costing too much, or quietly not working. We’ll look at it with you and tell you whether there’s a better way to solve it.
No hard sell, and no technology for technology’s sake. Just a conversation about what’s worth improving.