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01_About
Background & Story
14 years of engineering meets business
02_Method
Assess. Build. Evolve.
How engagements work
03_Evidence
Case Study
What a real project looks like
Get in touch
AI strategy & custom systems for companies and teams

Figure out where AI fits.
Then build what actually works.

I help small and mid-sized companies - and focused teams inside larger ones - cut through the AI noise. Whether that means building custom workflows, choosing the right tools, or deciding you don't need AI at all.

Start a conversation
Background

Engineering background.
Business mindset.

I spent 14 years at SUEZ and Veolia - two of the world's largest utility companies - building digital products that helped operations teams make better decisions faster. Smart metering, energy monitoring, water network performance. Always at the intersection of data, technology, and real-world operations.

In between, I led water supply projects across 9 countries with Aquassistance - environments where solutions had to work on day one with zero margin for error.

That background shapes how I work today: understand the business first, then choose the right technology - not the other way around.

2011 - 2014
Smart Metering PM - SUEZ
AMR deployments. Learned that the value isn't in the sensor - it's in what teams do with the data.
2014 - 2017
WASH Operations - Aquassistance
Field projects: Senegal, Haiti, Iraq, Palestine. Build fast, build right, no second chances.
2017 - 2022
Product Manager - SUEZ
Digital transformation for water utilities - forecasting tools, cost-benefit analysis, global clients.
2023 - 2025
Product Manager - Veolia
Energy monitoring products. Smart meters + algorithms → actionable efficiency recommendations.
2025 - Now
Founder - agire.digital
Same methodology, new economics. AI made custom solutions viable for smaller companies and lean teams inside bigger ones.
How it works

Assess. Build. Evolve.

Sometimes you need a custom system. Sometimes you need better templates. Sometimes the answer is "don't buy AI tools yet." The value is in figuring out which - before you spend.

01 - ASSESS
Understand what's needed
Score every task: does it need AI, a process fix, better templates, or a custom tool? Honest answers, no assumptions.
02 - RECOMMEND
Right fix, right size
The simplest effective solution for each problem. That might mean building something - or deciding not to.
03 - BUILD
Ship what works
When you do need custom tools or AI workflows - built around your data, your team, your constraints.
04 - EVOLVE
Improve monthly
New capabilities, refined workflows. The system grows with your business - not against it.
In practice

What a real engagement looks like

A B2B company (~40 people) came with a common question: "Should we be using AI?" Their team was already experimenting with personal ChatGPT accounts - no oversight, no framework for deciding what genuinely needed AI and what didn't.

The answer wasn't "yes, buy AI tools." It was: let's figure out where AI actually helps, where it doesn't, and what to do instead.

Case study - B2B distribution

From "should we use AI?" to
clarity and a concrete plan

I built them an interactive system their whole team could use - not a report to read, but a tool to make decisions with.

Decision matrix - 5 filters: AI, template, process fix, or custom tool
Scoring tool - 7-question assessment with algorithmic overrides
Platform comparison - tailored to their stack, size, and budget
Pilot program - who to pick, what to measure, rules to follow
Ready assets - templates + AI prompts in their working language
Team sync - multi-user cloud persistence across the org

Within weeks, every recurring task was scored and categorised. Some needed AI. Most didn't - they needed better templates or clearer processes. That clarity alone saved them from spending thousands on tools they didn't need.

Not sure where AI fits
in your business?

That's the right starting point. Let's talk about how your team works and figure it out together.

jad@agire.digital